KR20240020070A - Electronic device for providing image related with text and operation method thereof and storage medium - Google Patents

Abstract

According to one embodiment, in a storage medium storing at least one computer-readable instruction, the at least one instruction, when executed by the at least one processor, is transmitted to a server including the at least one processor. Causes: receiving, from an electronic device, information indicating that a user input for causing the provision of training for improvement of cognitive functions has been obtained, and based on confirmation that the user input has been obtained based on the information, a first free - Transmitting first data for expressing first content corresponding to training to the electronic device, and after the first data is transmitted, transmitting second data for expressing second content corresponding to first training transmit to an electronic device, and receive first bio-signal-related data and/or first user input-related data acquired by the electronic device during and/or after completion of the second content, and It may be set to cause transmission of data and/or information representing an evaluation result of the cognitive function confirmed based on the first user input-related data to the electronic device.

Description

Electronic devices, servers, and their operating methods and storage media that provide content for improving cognitive function {ELECTRONIC DEVICE FOR PROVIDING IMAGE RELATED WITH TEXT AND OPERATION METHOD THEREOF AND STORAGE MEDIUM}

This disclosure relates to an electronic device, a server, an operating method, and a storage medium that provide content for improving cognitive function.

In recent years, as we enter an aging society and the proportion of the elderly population continues to increase, interest in geriatric diseases such as dementia, which are more likely to develop as people age, is increasing. In recent years, various types of mental disorders such as depression, mental anxiety, poor concentration, ADHD, etc. are occurring not only in elderly people, but also in infancy, adolescence, young adulthood, and middle-aged people. The symptoms and causes of various mental illnesses, including dementia, are diverse, and there is no clearly defined treatment, but early diagnosis can delay the onset or alleviate the condition. Recently, the development of digital contents to prevent various types of mental disorders or improve cognitive function (eg, cognitive function efficiency) is actively underway.

The technology behind the invention has been written to facilitate easier understanding of the invention. It should not be understood as an admission that matters described in the technology underlying the invention exist as prior art.

Conventional systems (or devices) for preventing mental illness or improving cognitive function have been implemented, for example, by providing content that has been shown to be effective in improving a user's specific ability (eg, cognitive function). However, if the user's brain state is not optimal for performing the content (in other words, if the user is not ready to experience (or perform) the content), the efficacy of the content experience decreases. Although it could be possible, this has not been taken into consideration. Accordingly, in the past, as content for the improvement of specific abilities is unilaterally provided, the degree of improvement in cognitive function may decrease, or cognitive function may stagnate or even decrease, and resources for providing content to improve cognitive function may be used. It can be wasted. Prior to providing content to improve cognitive function, no technology has been disclosed or studied for performing operations to induce a state optimized for the experience (or performance) of the content.

Electronic devices, servers, and their operating methods and storage media according to various embodiments of the present disclosure are provided in accordance with the state of the user's brain before providing training content for improving specific abilities (e.g., cognitive functions). Pre-training content that causes the user to be in a state suitable for performing the training content may be provided.

At least one problem of the present disclosure is not limited to the at least one problem mentioned above, and another problem not mentioned will be clearly understood by those skilled in the art from the description below.

According to one embodiment, in a storage medium storing at least one computer-readable instruction, the at least one instruction, when executed by the at least one processor, is transmitted to a server including the at least one processor. Causes: receiving, from an electronic device, information indicating that a user input for causing the provision of training for improvement of cognitive functions has been obtained, and based on confirmation that the user input has been obtained based on the information, a first free - transmitting to the electronic device first data for representing first content corresponding to training, wherein the first pre-training is intended to cause the user's state to reach an inwardly focused state, is associated with activation of at least one DMN of the user's brain, wherein the first data causes the electronic device to display first content corresponding to the first pre-training, wherein the first data is transmitted Afterwards, transmitting second data for representing second content corresponding to the first training to the electronic device, wherein the first training causes the user's state to reach an outwardly focused state. associated with activation of at least one DAN of the brain of the user, wherein the second data causes the electronic device to display second content corresponding to the first training, and wherein the second data causes the electronic device to display second content corresponding to the first training, Receive first bio-signal-related data and/or first user input-related data acquired by the electronic device during and/or after completion, and receive the first bio-signal-related data and/or first user input-related data; is set to cause information for expressing an evaluation result of the cognitive function confirmed based on to be transmitted to the electronic device, wherein the information for the evaluation result causes the electronic device to express the evaluation result. causing the first data and the second data to cause the electronic device to transmit the second content corresponding to the first training before the first content corresponding to the first pre-training is provided. This may cause you to refrain from providing content.

According to one embodiment, in a storage medium storing at least one computer-readable instruction, when the at least one instruction is executed by the at least one processor, the electronic device including the at least one processor to: obtain user input to cause provision of training for improvement of cognitive functions, and based on the acquisition of the user input, provide first content corresponding to first pre-training, wherein: The first pre-training is intended to cause the user's state to reach an introvertedly focused state, is associated with activation of at least one DMN of the user's brain, and corresponds to the first pre-training. After first content is provided, second content corresponding to the first training is provided, wherein the first training is intended to cause the user's state to reach an outwardly focused state, and the brain of the user associated with activation of at least one DAN, and for the cognitive function confirmed based on first biosignal-related data and/or first user input-related data obtained during and/or after completion of the second content It is set to cause to provide an evaluation result, and before the first content corresponding to the first pre-training is provided, provision of the second content corresponding to the first training may be refrained.

According to one embodiment, a method of providing training to improve cognitive function includes the operation of confirming a user's connection based on an electronic device by a server, and after the user's connection is confirmed, by the server, An operation of receiving, from an electronic device, information indicating that a user input has been obtained to result in the provision of training for improvement of cognitive functions, based on confirmation by the server that the user input has been obtained based on the information , an operation of transmitting first data for expressing first content corresponding to a first pre-training to the electronic device, wherein the first pre-training reaches a state inwardly focused on the user's state. associated with activation of at least one DMN of the user's brain, and expressing, by the electronic device, first content corresponding to the first pre-training, based on the first data. An operation of transmitting, by the server, second data for representing second content corresponding to first training to the electronic device after the first content has been expressed by the electronic device, wherein: The first training is intended to cause the user's state to reach an outwardly focused state, is associated with activation of at least one DAN of the brain of the user, and is activated by the electronic device based on the second data. Thus, an operation of expressing second content corresponding to the first training, first bio-signal related data and/or first user input related data by the electronic device during performance and/or after completion of the second content Obtaining and transmitting to the server, receiving, by the server, the first biosignal-related data and/or the first user input-related data, by the server, the first biosignal-related data and/or transmitting information for expressing an evaluation result of the cognitive function confirmed based on the first user input-related data to the electronic device, and transmitting, by the electronic device, information for the evaluation result. Based on this, an operation of expressing the evaluation result may be refrained from providing the second content corresponding to the first training before the first content corresponding to the first pre-training is provided. there is.

According to various embodiments of the present disclosure, before providing training content for improving a specific ability (e.g., cognitive function), a pre-processing method is used to cause the user's brain to be in a state suitable for performing the training content. -Electronic devices, servers, and their operation methods that can provide training content may be provided.

1 shows a block diagram of an electronic device and a server according to one embodiment.
FIG. 2A shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment.
FIG. 2B shows a flowchart for explaining a method of operating an electronic device and a server according to various embodiments.
FIG. 2C shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 3A shows a diagram for explaining content corresponding to pre-training according to an embodiment.
FIG. 3B is a diagram for explaining content corresponding to training according to an embodiment.
FIG. 3C is a diagram for explaining content corresponding to training according to an embodiment.
FIG. 3D is a diagram for explaining content corresponding to training according to an embodiment.
FIG. 4A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 4B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 5A shows a flowchart explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 5B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 6A shows a flowchart explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 6B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 7A shows a flowchart explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 7B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 8A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 8B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 9A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 9B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 10A shows a flowchart explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 10B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 11A shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment.
FIG. 11B shows a flowchart for explaining a method of operating an electronic device and a server according to various embodiments.
FIG. 11C shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 12A shows a flowchart explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 12B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 13A shows a flowchart explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 13B shows a flowchart explaining a method of operating an electronic device according to an embodiment.
FIG. 14A shows a flowchart explaining a method of operating an electronic device and a server according to an embodiment.
FIG. 14B shows a flowchart explaining a method of operating an electronic device according to an embodiment.

The advantages and features of the present disclosure and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various different forms. These embodiments only serve to ensure that the disclosure of the present invention is complete, and that the present invention is not limited to the embodiments disclosed below. It is provided to fully inform those with knowledge of the scope of the invention, and the present invention is only defined by the scope of the claims. In connection with the description of the drawings, similar reference numbers may be used for similar components. In this document, expressions such as “have,” “may have,” “includes,” or “may include” refer to the relevant features (e.g., components such as values, functions, operations, or parts). Indicates presence and does not exclude the presence of additional features.

In the present disclosure, expressions such as “A or B,” “at least one of A or/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, “A or B,” “at least one of A and B,” or “at least one of A or B” includes (1) at least one A, (2) at least one B, Or (3) it may refer to all cases including both at least one A and at least one B. Expressions such as “first,” “second,” “first,” or “second,” used in this document can modify various components regardless of order and/or importance, and refer to one component. It is only used to distinguish from other components and does not limit the components. For example, a first user device and a second user device may represent different user devices regardless of order or importance. For example, the first component may be renamed as the second component without departing from the scope of rights described in this document, and similarly, the second component may also be renamed as the first component. A component (e.g., a first component) is “(operatively or communicatively) coupled with/to” another component (e.g., a second component). When referred to as “connected to,” it should be understood that any component may be directly connected to the other component or may be connected through another component (eg, a third component). On the other hand, when a component (e.g., a first component) is said to be “directly connected” or “directly connected” to another component (e.g., a second component), It may be understood that no other component (e.g., a third component) exists between other components. As used in this document, the expression "configured to" may mean "suitable for," "having the capacity to," depending on the context. )," "designed to," "adapted to," "made to," or "capable of." . The term “configured (or set to)” may not necessarily mean “specifically designed to” in hardware terms. Instead, in some contexts, the expression “a device configured to” may mean that the device is “capable of” working with other devices or components. For example, the phrase "processor configured (or set) to perform A, B, and C" refers to a processor dedicated to performing the operations (e.g., an embedded processor), or by executing one or more software programs stored on a memory device. , may refer to a general-purpose processor (e.g., CPU or application processor) capable of performing the corresponding operations.

Terms used in this document are merely used to describe specific embodiments and may not be intended to limit the scope of other embodiments. Singular expressions may include plural expressions, unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as generally understood by a person of ordinary skill in the technical field described in this document. Among the terms used in this document, terms defined in general dictionaries may be interpreted to have the same or similar meaning as the meaning they have in the context of related technology, and unless clearly defined in this document, they have an ideal or excessively formal meaning. It is not interpreted as In some cases, even terms defined in this document cannot be interpreted to exclude embodiments of this document.

Each of the features of the various embodiments of the present disclosure can be partially or fully combined or combined with each other, and as can be fully understood by those skilled in the art, various technical interconnections and operations are possible, and each embodiment can be implemented independently of each other. It may be possible, or it may be possible to implement them together due to a related relationship.

1 shows a block diagram of an electronic device and a server according to one embodiment.

According to one embodiment, the server 110 may include a processor 161, a storage device 163, and/or a communication interface 165. Meanwhile, at least some of the operations of the server 110 may be implemented by a cloud server. The server 110 may be implemented as a distributed server, and there are no restrictions on the form of server implementation. The processor 161, the storage device 163, and/or the communication interface 165 may transmit/receive data to each other through the bus 167 (or another communication interface). According to one embodiment, the electronic device 101 includes a processor 181, a storage device 183, a sensor 184, a communication interface 185, an input device 186, a display 188, and/or an output device. It may include device 189. Processor 181, storage device 183, sensor 184, communication interface 185, input device 186, display 188, and/or output device 189 communicate with each other on bus 187 (or , other communication interfaces), data can be transmitted/received. For example, electronic device 101 may be a mobile device, such as a smart phone and/or tablet PC, that may communicate, for example, directly with server 110 (or via communication network 190). It can be done. When implemented as a smart phone, the electronic device 101 may be held in the user's hand and display a general image, or may be housed in (or combined with) an HMD device to display binocular images for a VR environment. Those skilled in the art will understand that this can be done. For example, the electronic device 101 may include an HMD device (a wearable HMD device that surrounds the user's eyes, or an HMD device that exposes the user's eyes to the outside (e.g., a headband-type wearable device), a glasses-type wearable device, It may be a wearable device such as a necklace-type wearable device, a lens-type wearable device, etc., and there is no limitation on the type. The wearable device may be a communication interface (185) that supports cellular communication that can directly communicate with the server 110. ) may be included (this can be called a stand-alone device), and in this case, the electronic device 101 implemented as a wearable device is directly connected to the server 110 (or through the communication network 190), Alternatively, wearable devices such as glasses-type wearable devices, lens-type wearable devices, etc. may not support cellular communication that can directly communicate with the server 110 (this is called a non-stand alone device). In this case, the electronic device 101 implemented as a wearable device is connected to the server through a relay device (for example, it may be a smart phone or a tablet, but is not limited to) capable of performing cellular communication. Communication may also be performed with 110. In this case, the electronic device 101 implemented as a wearable device communicates with the relay device through short-range communication (for example, it may be Bluetooth or Wi-Fi Direct, but is not limited). Data can be transmitted and received, but there is no limitation. For example, the electronic device 101 may be a general computer, and the electronic device 101 may receive data from the server 110, Expression based on received data, acquisition of user input, acquisition of sensing data associated with the user's biological signals, and/or transmission of the obtained information (e.g., data related to user input, etc.) to the server 110. As for the device, those skilled in the art will understand that there is no limitation in its type.

According to one embodiment, the processor 161 and/or the processor 181 may execute instructions of an application stored in the storage device 163 and/or the storage device 183. The operation of the server 110 of the present disclosure may be performed by the processor 161 or by other hardware based on the control of the processor 161, and the storage device 163 includes the processor 161. Instructions that, when executed, cause the server 110 to perform specific operations may be stored. For example, server 110 may include pre-training and at least one designated ability (e.g., cognitive A mental health application may be stored to provide (or express) training to improve (but not limit) abilities. Depending on the execution of at least one instruction included in the mental health application, operations by the server 110 throughout the present disclosure may be performed. The operation of the electronic device 101 of the present disclosure may be performed by the processor 181 or by other hardware based on the control of the processor 181, and the storage device 183 includes the processor 181. Instructions that, when executed, cause the electronic device 101 to perform specific operations may be stored. For example, a mental health application may be stored in the electronic device 101, and operations by the electronic device 101 throughout the present disclosure may be performed according to execution of at least one instruction included in the mental health application. It can be. The electronic device 101 may perform pre-training to cause reaching a specified state of the brain state and training to improve at least one specified ability, for example, based on data transmitted from the server 110. It can be provided (or expressed). On the other hand, this is an example, and the electronic device 101, without linking with the server 110, independently performs pre-training to cause the brain state to reach a designated state and to improve at least one designated ability. You can also provide (or express) training. Alternatively, the electronic device 101 may link with the server 110 to perform some operations, such as user login, and provide (or express) training independently, and the server 110 and the electronic device 101 There are no restrictions on the operations each performs.

According to one embodiment, the processor 161 and/or the processor 181 may include a central processing unit (CPU), a graphic processing unit (GPU), a neural processing unit (NPU), a digital signal processor (DSP), and an application processing unit (ASIC). -specific integrated circuit), and/or FPGA (field programmable gate array), but there is no limitation as long as it is a means of executing a program (or instruction or command). Storage device 163 and/or storage device 183 may include volatile memory and/or non-volatile memory, such as RAM, ROM, hard disk, and/or flash memory. This is illustrative and is not limiting.

According to one embodiment, the server 110 may transmit/receive data to/from the electronic device 101 through the communication interface 165. The electronic device 101 can transmit/receive data to/from the server 110 through the communication interface 185. The communication interface 165 and/or the communication interface 185 are devices that can support the establishment of a communication channel through the wired and/or wireless communication network 190 and the transmission/reception of data through the established communication channel. no limits. Meanwhile, the communication interface 185 may additionally support short-distance communication for transmitting/receiving data with a surrounding external sensor device 195. Near-field communications may include, for example, Bluetooth Classic, Bluetooth Low Energy (BLE), Wi-Fi Direct, and/or NFC, but are not limited in type. The external sensor device 195 may include a communication module for short-distance communication and/or at least one sensor. The external sensor device 195 is, for example, a watch-type wearable device, a bracelet-type wearable device, a ring-type wearable device, a headband-type wearable device, or a necklace-type wearable device, such as a user's wrist, hand, or It may have a shape that can be worn around the neck, but there are no restrictions on its shape and wearing area. Those skilled in the art will understand that a wearable device for EEG sensing may additionally (or alternatively) measure various biological signals such as PPG as well as EEG signals for simply measuring EEG signals. A wearable device for EEG sensing can not only measure EEG, but can also sense various additional information, including information related to the heart based on PPG. The external sensor device 195 may be, for example, a wearable device for EEG sensing that can be worn on the user's head, or a hat-type (or headband-type) wearable device for EEG sensing. Meanwhile, those skilled in the art will understand that, depending on implementation, the electronic device 101 may be implemented as various types of wearable devices such as the external sensor device 195 described above.

According to one embodiment, the sensor 184 and/or the external sensor device 195 of the electronic device 101 may include a camera, a biometric sensor, an brain wave sensor, a 3-axis acceleration sensor, a gyro sensor, a proximity sensor, a grip sensor, It may include an optical sensor, an infrared (IR) sensor, a temperature sensor, and/or a humidity sensor. For example, the external sensor device 195 measures the user's biological signals and provides them to the electronic device 101 based on short-range communication, or provides data processed by the biological signals to the electronic device 101 based on short-range communication. ) can also be provided. The electronic device 101 receives sensing data of the user's biological signal measured by the sensor 184 and/or sensing data of the user's biological signal received from the external sensor device 195 through the communication interface 185, It can be provided by the server 110. As will be described in more detail later, the server 110 may check the user's mental health status based on the sensing data. Meanwhile, in FIG. 1, the electronic device 101 is shown as connected to one external sensor device 195 to transmit and receive data, but this is an example and the electronic device 101 is connected to a plurality of external sensor devices 195 ( 195) (e.g., a wristwatch-type wearable device and a wearable device for EEG sensing), those skilled in the art will understand that data may be transmitted and received. As described above, the user's various biosignals (e.g., EEG signals, PPG signals, etc., but are not limited to) are transmitted to the sensor 184 of the electronic device 101, the external sensor device 195, and/or the external controller ( 196). Various biosignals, and/or information identified based on the processing of biosignals (e.g., brain waves in specific bands (e.g., alpha waves, beta waves, gamma waves), heart-related information (e.g., HR , HRV, calmness, concentration, etc., but without limitation) may be confirmed by the electronic device 101 and transmitted to the server 110. Alternatively, various biological signals, information confirmed based on the processing of biological signals (e.g., brain waves in a specific band (e.g., alpha waves, beta waves, gamma waves), heart-related information (e.g., HR, Those skilled in the art will understand that at least some of the parameters (including but not limited to HRV), calmness, concentration, etc. may be confirmed by the server 110.

According to one embodiment, the input device 186 may be a device that can confirm a user's input. In one example, the input device 186 may be implemented integrally with the display 188 to form a touch screen display. The input device 186 is not limited as long as it is a device that can check the user's input, such as a touch pad, mouse, or button. The display 188 may express (eg, display) visual content (eg, image) under the control of the processor 181. For example, images of content related to pre-training and/or training may be displayed through the display 188. The output device 189 may include, for example, a speaker for representing (e.g., outputting) auditory content (e.g., speech, and/or music) associated with the pre-training and/or training, the pre-training and/or Alternatively, it may include a motor (or actuator) for expressing (e.g., outputting) tactile content (e.g., vibration) related to training, but is not limited thereto.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training based on information from the server 110 and/or based on information previously stored in the electronic device 101. In addition, content corresponding to training can be provided after provision of content corresponding to pre-training is completed. Content corresponding to pre-training may be, for example, content associated with internally-directed attention (or for causing internally-directed attention). Content corresponding to pre-training may be, for example, content associated with a mind wandering state (or for causing a mind wandering state). For example, content corresponding to pre-training may be content associated with (or intended to cause activation of) the default mode network (DMN) of the user's brain. Here, the DMN may be associated with a relatively wide range, for example, but not limited to the entire brain. The DMN may be associated, for example, with areas of the brain associated with types of internal thought (e.g., but not limited to past flashbacks, future-oriented thoughts, passive thoughts, emotional thoughts, etc.) . The DMN can be activated in passive situations. DMN can be activated when there is no given task. For example, content corresponding to pre-training may be content for breathing training, meditation, and/or listening to music, but this is an example and there is no limitation on the type of pre-training, and the content described above (breathing training Those skilled in the art will understand that at least some of the following (e.g., meditation, and/or listening to music) may be used as training. Breathing training related content may cause the effect of separating oneself from the outer world and/or may be associated with depersonalization. Meditation may involve focus on the internal mind and/or body. For example, the electronic device 101 may provide content related to breathing training as pre-training and provide content related to meditation as training. Alternatively, depending on implementation, each of the same type of content may be provided as pre-training and training, in which case the same type of content has the same type, but has at least some properties (e.g., the content at which the content is provided). The time may be different, but there is no limit. For example, pre-training may be training to cause the brain state to reach a designated state (e.g., which may also be referred to as a state ready for performance of training). The state of the user's brain reaching a designated state may be expressed as the user's brain warming up due to pre-training. Pre-training may be training performed before training is performed.

Here, the brain state may be expressed based on biosignal-related data and/or user input-related data. In one example, the brain state may be determined based on biosignal related data (e.g., but not limited to, EEG, and/or PPG), and/or information identified based on the biosignal related data (e.g., EEG, and/or PPG, etc.). The intensity of brain waves, brain wave intensity ratio, etc., and/or HR determined based on PPG, HRV, concentration level confirmed based on EEG and/or HR (e.g., ATT) and/or a relaxation value (eg, a processing result of sensing data such as MED), but is not limited thereto. The state of the brain may be confirmed using additionally (or alternatively) data related to user input. For example, the state of the brain may be confirmed (or expressed) based on data related to user input as user interaction required for progress of content corresponding to pre-training. For example, the state of the brain may be determined by data related to user input as a response to a query (e.g., but not limited to, whether or not one is focused and/or the degree of concentration) corresponding to content corresponding to pre-training. It can be confirmed (or expressed) based on For example, the state of the brain may be identified (or expressed) based on data related to user input as a response to difficulty adjustments and/or content changes after provision of content corresponding to pre-training, without limitation. .

The efficacy of training to improve a specific function (e.g., cognitive function) is based on the state of the user's brain (or other body-related conditions other than the brain may be generally and/or additionally considered). The case where a specific state is reached may be greater than the case where the brain state does not reach a specific state. For example, Anxiety and cognitive performance: attentional control theory. According to Emotion (Eysenck MW, Derakshan N, Santos R, Calvo MG., 2007 May;7(2):336-53. doi: 10.1037/1528-3542.7.2.336. PMID: 17516812.), anxiety is May reduce the efficient functioning of the goal-directed attentional system and/or increase the extent to which processing is influenced by the stimulus-driven attentional system. there is. Accordingly, for example, when anxiety is high, it has been proven that the efficiency of training to improve cognitive function is reduced, and it is required to perform pre-training to maximize the training effect before training. For example, The Role of Attentional Control in the Relationship Between Mindfulness and Anxiety. Psychological Reports, ( MacDonald, H. Z., & Olsen, A. (2019).) demonstrated that lower levels of depression and anxiety were associated with higher attentional control, and that higher levels of depression and anxiety were associated with lower attentional control. It has been done. As above, in order to relatively improve cognitive function, anxiety must be relatively low, and accordingly, it can be confirmed that pre-training to alleviate anxiety must be performed before training. For example, in the case of performing training to improve cognitive function (e.g., environmental change recognition training, but without restrictions), the user may perform pre-training (e.g., meditation, but without restrictions). The degree of improvement in cognitive function in this case is greater than the degree of improvement in cognitive function in the case where the user does not perform pre-training. In other words, the degree of cognitive function improvement when a user who performed pre-training subsequently performed environmental change recognition training was greater than the degree of cognitive function improvement when a user who did not perform pre-training performed environmental change recognition training. big. If the brain state does not reach a specific state following pre-training and training is performed to improve a specific function (eg, cognitive function), the effectiveness of the training may be reduced. For example, even if a lot of training is performed without pre-training, the improvement in cognitive function may be lower than when a small number of trainings are performed after pre-training.

Based on content corresponding to pre-training provided by the electronic device 101, the user can experience (or perform) pre-training. Content for pre-training includes information for configuring at least one outputable image, information for configuring a voice, information for configuring tactile feedback (e.g., vibration), and/or olfactory feedback. Those skilled in the art will understand that it may include information for configuring, and that there is no limitation on the type of information. If the electronic device 101 is implemented as an HMD device (or a smart phone that can be coupled to an HMD device), content corresponding to pre-training may be expressed as an image for the left eye and an image for the right eye, but this is an example. It can be implemented as content specialized for AR services. Those skilled in the art will understand that, depending on the implementation form of the electronic device 101, content for pre-training may be expressed as a series of single images. Content for pre-training may, for example, be implemented to be played over time without requiring user's intervention. Alternatively, content for pre-training may, for example, require user intervention and may be implemented to progress over time based on user input, without limitation.

After content corresponding to pre-training is provided, the electronic device 101 provides content for training (e.g., content for improving cognitive function) based on information transmitted from the server 110 and/or pre-stored information. content) can be provided. For example, content corresponding to training may be content associated with (or intended to cause externally-directed attention) externally-directed attention. Content corresponding to training may be, for example, content associated with (or intended to cause) a goal-oriented state and/or a task induced state. For example, content corresponding to training may be content associated with (or intended to cause activation of) a dorsal attention network (DAN) in the user's brain. Here, the DAN may be associated with a region of the brain that is activated, for example, given a sensory-related and/or cognitive-related task. DAN may be activated, for example, when a given task is associated with a goal-directed state and/or a task-driven state. For example, content corresponding to pre-training is content designed to improve cognitive functions, such as action memory and attention (e.g., focused, selective, and/or divided). , may be related to, but is not limited to, spatial navigation, visual perception, auditory perception, and/or language. Content corresponding to training may include, but is not limited to, mini-games designed to improve concentration and/or relieve stress, such as environmental change recognition training, object tracking training, and/or target object quick designation training. does not exist. For example, training may be performed after the brain state reaches a designated state (e.g., which may also be referred to as a state ready for performance of training). Based on content corresponding to training provided by the electronic device 101, the user can experience (or perform) training. Content for training includes information for configuring at least one outputable image, information for configuring a voice, information for configuring tactile feedback (e.g., vibration), and/or olfactory feedback. Those skilled in the art will understand that it may include information for the purpose of use, and that there is no limitation on the type of information. If the electronic device 101 is implemented as an HMD device (or a smart phone that can be coupled to an HMD device), content corresponding to training may be expressed as an image for the left eye and an image for the right eye, but this is an example. , It can also be implemented as content for AR services. Those skilled in the art will understand that, depending on the implementation form of the electronic device 101, content for training may be expressed as a series of single images. Content for training may, for example, be implemented to be played over time without requiring user intervention. Alternatively, content for training may require user intervention, for example, and may be implemented to proceed over time based on user input, without limitation. As described above, the degree of improvement in cognitive function when a user who performed pre-training subsequently performed environmental change recognition training was compared to the cognitive function when a user who did not perform pre-training performed environmental change recognition training. greater than the degree of improvement. After the user experiences (or performs) the content corresponding to the pre-training, as the user experiences (or performs) the content corresponding to the training, the user's specific ability compared to the case where the pre-training is not experienced The degree of improvement (e.g., cognitive ability) may be relatively high. Cognitive abilities may include, but are not limited to, at least one of, for example, short-term memory, long-term memory, concentration, depth perception, agility, visual perception, spatial perception, working memory, momentary attention, sustained attention, reading ability, and selective attention. No, training may be provided to improve abilities other than cognitive abilities.

Meanwhile, the user may be in an internally focused state. For example, in an inwardly focused state, a user may engage in internal thinking. For example, the user may be in a state of self-reflectively thinking and/or mind wandering. Meanwhile, the user may be in an externally focused state. For example, in an outwardly focused state, a user can focus on external stimuli, such as visual and auditory stimuli, and respond to perceived stimuli.

The electronic device 101 and/or the server 110 and their operating methods according to various embodiments of the present disclosure provide a first type of training for inducing an inwardly focused state, and then stop this. A second type of training can be provided to induce an outwardly focused state. Accordingly, the user can train switching between focused states, and the user's cognitive function can be improved.

According to one embodiment, the server 110 includes a first type training for causing the user's state to reach an inwardly focused state and a first type training for causing the user's state to reach an outwardly focused state. A mental health application for providing (or presenting) type 2 training may be stored. For example, based on data transmitted from the server 110, the electronic device 101 performs first type training to cause the user's state to reach an inwardly focused state and to change the user's state to an outwardly focused state. A second type of training may be provided (or expressed) to cause the state to be reached. Meanwhile, this is an example, and the electronic device 101 does not connect with the server 110, but independently performs first type training and user training to cause the user's state to reach an inwardly focused state. A second type of training may be provided (or expressed) to cause the state to be reached in an outwardly focused state. Alternatively, the electronic device 101 may link with the server 110 to perform some operations, such as user login, and provide (or express) the second type of training independently, and the server 110 and the electronic device (101) There is no limit to the actions each performs. For example, images of content related to first type training and/or second type training may be displayed through the display 188. The output device 189 may be, for example, a speaker for representing (e.g., outputting) auditory content (e.g., speech, and/or music) associated with the first type training and/or the second type training. , may include a motor (or actuator) for expressing (e.g., outputting) tactile content (e.g., vibration) related to the first type training and/or the second type training, but is not limited thereto. . FIG. 2A shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment.

FIG. 2A shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment.

According to one embodiment, the server 110 may transmit data for pre-training to the electronic device 101 in operation 201. For example, the electronic device 101 may obtain user input to cause provision of training to improve cognitive function (eg, activation of at least one DMN). Electronic device 101 may transmit information to server 110 to indicate acquisition of user input to result in provision of a training set for cognitive enhancement (e.g., activation of at least one DMN). there is. Server 110 may perform training based on receipt of information indicating acquisition of user input to result in provision of a training set for cognitive enhancement (e.g., activation of at least one DMN). Before providing data for pre-training (eg, activation of at least one DAN), data for pre-training (eg, activation of at least one DAN) may be transmitted to the electronic device 101. In operation 203, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training received from the server 110. If the electronic device 101 supports cellular communication, for example, data can be transmitted and received from the server 110 through a cellular communication network, but if the electronic device 101 is a non-stand alone type Those skilled in the art will understand that data can be transmitted and received with the server 110 through a relay device. In operation 203, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. Content corresponding to pre-training may be, for example, content associated with (or intended to cause internally-directed attention) internally-directed attention, as described above; and/or may be content associated with (or intended to cause activation of) the DMN of the user's brain. Based on content corresponding to pre-training provided by the electronic device 101, the user can experience (or perform) pre-training. Content for pre-training includes information for configuring at least one outputable image, information for configuring a voice, information for configuring tactile feedback (e.g., vibration), and/or olfactory feedback. Those skilled in the art will understand that it may include information for configuring, and that there is no limitation on the type of information. If the electronic device 101 is implemented as an HMD device (or a smart phone that can be coupled to an HMD device), content corresponding to pre-training may be expressed as an image for the left eye and an image for the right eye, but this is an example. It can be implemented as content specialized for AR services. Those skilled in the art will understand that, depending on the implementation form of the electronic device 101, content for pre-training may be expressed as a series of single images. Content for pre-training may be implemented to be played over time, for example, without requiring user intervention. Alternatively, content for pre-training may require user intervention, for example, and may be implemented to progress over time based on user input, without limitation.

According to one embodiment, in operation 205, the electronic device 101 transmits bio-signal related data and/or user input related data obtained after performing and/or completing content corresponding to pre-training to the server 110. Can be sent. For example, the electronic device 101 may obtain data related to the user's biological signals while performing content corresponding to pre-training. The electronic device 101 acquires data related to the user's biological signals through the built-in sensor 184, and/or data related to the user's biological signals through the external sensor device 195 and/or the external controller 196. can be obtained.

For example, while providing content corresponding to pre-training, the electronic device 101 may display data associated with the user's brain waves, data associated with the user's breathing, data associated with the user's heart rate, and/or data associated with the user's HRV. Various types of data, such as data, can be acquired, and there is no limit to the type of data acquired. Various types of data can be used to express the state of the user's brain. For example, among data related to the user's brain waves, the brain state may be expressed based on the strength of the brain wave signal in a specific band (eg, low alpha wave band). For example, the acquired data may be used to represent the state of the brain in raw data form, or the acquired data may be used to represent the state of the brain in a processed form based on a processing algorithm. It may be possible. For example, the electronic device 101 may additionally (or alternatively) acquire the various types of data described above after content for meditation as pre-training is provided. For example, when content for meditation is provided as pre-training, the electronic device 101 may additionally (or alternatively) collect data associated with the user input during and/or after providing the content for meditation. ) can also be obtained. The electronic device 101 may transmit raw data of the user input and/or a processing result of the raw data as data associated with the user input to the server 110. Depending on the implementation, data related to user input may also be used alone or together with data related to the user's biosignals to confirm (or express) the state of the brain. In operation 207, the server 110 may store biometric signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to pre-training. The server 110 may check and/or store the user's brain state based on biosignal-related data and/or user input-related data obtained after performing and/or completing content corresponding to pre-training. Throughout the present disclosure, storing bio-signal related data and/or user input related data obtained after performing and/or completing content corresponding to pre-training refers to, for example, the user's brain corresponding to pre-training. Those skilled in the art will understand that it may be replaced (or expressed) by storing the state. Meanwhile, the server 110 may check whether the user's brain state has reached a designated state, which will be described later. Those skilled in the art will understand that depending on the implementation, operations 205 and/or 207 may be omitted.

According to one embodiment, the server 110 transmits data for pre-training and/or performs and/or completes content corresponding to pre-training from the electronic device 101. After receiving data and/or user input-related data, data for training may be provided to the electronic device 101 in operation 209. In operation 211, the electronic device 101 may provide content corresponding to training based on data for training. As described above, for example, content corresponding to training may include content associated with outwardly directed attention (or intended to cause outwardly directed attention), a goal-directed state, and/or a task-driven state. It may be, but is not limited to, content associated with (or to cause the corresponding state) and/or content associated with the DAN of the user's brain (or to cause activation of the DAN).

According to one embodiment, in operation 213, the electronic device 101 transmits bio-signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to training to the server 110. You can. For example, the electronic device 101 may obtain data related to the user's biosignals while performing content corresponding to training. The types of biosignal-related data acquired by the electronic device 101 while performing and/or completing content corresponding to training include those obtained by the electronic device 101 while performing and/or completing content corresponding to pre-training. It may be the same as the type of biosignal-related data, or may be at least partially different. The electronic device 101 acquires data related to the user's biological signals through the built-in sensor 184, and/or data related to the user's biological signals through the external sensor device 195 and/or the external controller 196. can be obtained.

For example, when content corresponding to training is provided, while providing content for meditation, the electronic device 101 may include data associated with the user's brain waves, data associated with the user's breathing, data associated with the user's heart rate, and /or various types of data, such as data related to the user's HRV, can be acquired, and there is no limit to the type of data obtained. As described above, at least some of the various data types may be different from at least some of the various data streams corresponding to pre-training, or may be entirely the same. For example, the electronic device 101 may additionally (or alternatively) acquire the various types of data described above after content corresponding to training is provided. For example, when content corresponding to training is provided, the electronic device 101 may additionally (or alternatively) provide data associated with the user input during and/or after providing content corresponding to the training. You can also obtain it. The electronic device 101 may transmit raw data of the user input and/or a processing result of the raw data as data associated with the user input to the server 110. Depending on the implementation, data related to user input may also be used alone or together with data related to the user's biosignals to confirm (or express) the state of the brain. In operation 213, the type of data transmitted to the server 110 may be the same as, or at least partially different from, the type of data transmitted to the server 110 in operation 205.

According to one embodiment, in operation 215, the server 110 may store biometric signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to training. The server 110 may check and/or store the user's brain state based on biosignal-related data and/or user input-related data obtained after performing and/or completing content corresponding to training. Throughout the present disclosure, storing bio-signal related data and/or user input related data obtained after performing and/or completing content corresponding to training includes, for example, storing the state of the user's brain corresponding to training. Those skilled in the art will understand that it may be replaced (or expressed) as. The type (or expression form) of the brain state corresponding to training may be implemented in the same way as the type (or expression form) of the brain state corresponding to pre-training, or may be implemented differently. Meanwhile, the server 110 may check whether the user's brain state has reached a designated state, which will be described later. Those skilled in the art will understand that depending on the implementation, operations 213 and/or 215 may be omitted.

According to one embodiment, the server 110 determines the evaluation result of the user's cognitive function based on biometric signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to training. It may be possible. The server 110 may transmit the confirmed evaluation result to the electronic device 101 . The electronic device 101 may provide (or express) the confirmed evaluation result. As described above, since the training is for improving cognitive function, in one embodiment, the server 110 collects data related to biometric signals and/or user input related data obtained after performing and/or completing content corresponding to the training. Based on , the evaluation results of the user's cognitive function can be confirmed, but this is an example. For example, the server 110 may store biometric signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to training and/or performing and/or completing content corresponding to pre-training. Based on the acquired biosignal-related data and/or user input-related data, an evaluation result of the user's cognitive function may be confirmed. In one example, the server 110 may collect biometric signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to training and/or content corresponding to pre-training and/or obtained after performing and completing content. The results of the evaluation of cognitive function can be confirmed using all of the biosignal-related data and/or user input-related data. In one example, the server 110 uses biosignal-related data and/or user input-related data obtained after performing and completing content corresponding to pre-training as a reference (or baseline) and responds to training. The results of the evaluation of the cognitive function may be confirmed by comparing bio-signal-related data and/or user input-related data obtained after performing and completing the content to a reference (or baseline). Meanwhile, at least part of the process of confirming the above-mentioned evaluation results may be performed by the electronic device 101 rather than the server 110.

As described above, the electronic device 101 may primarily provide content corresponding to pre-training based on data provided from the server 110. Thereafter, based on the data provided from the server 110, the electronic device 101 may secondarily provide content corresponding to training. Accordingly, the user can primarily experience (or perform) content corresponding to pre-training and then secondarily experience (or perform) content corresponding to training. As described above, after the user experiences (or performs) content corresponding to pre-training, as the user experiences (or performs) content corresponding to training, the user's specific abilities (e.g., cognitive The degree of improvement in ability) can be relatively high.

FIG. 2B shows a flowchart for explaining a method of operating an electronic device and a server according to various embodiments. Among the embodiments of FIG. 2B, detailed descriptions of operations described with reference to FIG. 2A are not repeated here.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 201. In operation 203, the electronic device 101 may provide content corresponding to pre-training based on pre-training data. Based on the completion of provision of content corresponding to pre-training, the electronic device 101 may notify the server 110 that provision of content corresponding to pre-training is completed in operation 206. In operation 208, the server 110 may confirm that provision of pre-training by the electronic device 101 is completed. The server 110 may provide data for training to the electronic device 101 in operation 209, based on confirmation that provision of pre-training by the electronic device 101 is completed. In contrast to the embodiment of FIG. 2A, in the embodiment of FIG. 2B, the electronic device 101 generates content corresponding to the pre-training in place of bio-signal related data and/or user input corresponding to the pre-training. Completion of provision may be notified to the server 110. The server 110 may transmit data for training to the electronic device 101 based on completion of provision of content corresponding to pre-training by the electronic device 101. Meanwhile, the embodiment of FIG. 2B is also an example, and after providing pre-training data, the server 110 waits for a preset time (for example, the time required to play content corresponding to pre-training). After the passage of time, it may be implemented to provide data for training. In this case, the server 110 may provide data for training without receiving a communication signal from the electronic device 101. As described above, the server 110 may provide data for pre-training and/or provide data for training based on various triggers. Alternatively, the server 110 may provide pre-training and training as one bundle, which will be described later.

FIG. 2C shows a flowchart explaining a method of operating an electronic device according to an embodiment. In contrast to the embodiments of FIGS. 2A and 2B in which the electronic device 101 and the server 110 cooperate to provide content corresponding to pre-training and content corresponding to training, in the embodiment of FIG. 2C , the electronic device 101 alone can provide content corresponding to pre-training and content corresponding to training.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training in operation 221. For example, the electronic device 101 may obtain user input to trigger the provision of training to improve cognitive function. The electronic device 101 may, prior to providing content corresponding to training, based on acquisition of user input to cause provision of training for cognitive function improvement (e.g., activation of at least one DMN), Content corresponding to pre-training (eg, for activation of at least one DAN) may be provided. For example, the electronic device 101 may previously store data for expressing content corresponding to pre-training. For example, an application for improving a specific ability (eg, cognitive ability) may include data for expressing content corresponding to pre-training. Accordingly, the electronic device 101 may provide content corresponding to pre-training after installation of the application, without relying on data from the server 110. In operation 223, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. The acquisition of bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training of the 223 movement has been described with reference to FIG. 2A, so detailed description herein It doesn't repeat.

According to one embodiment, the electronic device 101 may provide content corresponding to training based on training data in operation 225. For example, the electronic device 101 may previously store data for expressing content corresponding to training. For example, an application for improving a specific ability (eg, cognitive ability) may include data for expressing content corresponding to training. Accordingly, the electronic device 101 may provide content corresponding to training without relying on data from the server 110 after installing the application. In operation 227, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. The acquisition of bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the training of the 227 movement has been described with reference to FIG. 2A, so the detailed description herein will not be repeated. No.

Meanwhile, depending on the implementation, at least some of the operations (operations 221, 223, 225, and 227) that were described as being performed solely by the electronic device 101 may be implemented to be performed by the server 110. Those skilled in the art will understand that there is. Alternatively, depending on the implementation, at least one operation additional to the operations (operations 221, 223, 225, and 227) described as being performed solely by the electronic device 101 is performed by the electronic device 101 and the electronic device 101. It may also be performed in conjunction with the server 110. For example, in operation 223, while performing content corresponding to pre-training and/or after user input related data is obtained, the electronic device 101 sends the server 110 to the server 110 while performing content corresponding to pre-training and /Or an operation of transmitting data related to user input may additionally be performed. For example, in operation 227, while performing content corresponding to training and/or after data related to user input is obtained, the electronic device 101 sends the server 110 to the server 110 while performing content corresponding to training and/or user input. An operation of transmitting related data may additionally be performed.

As described above, the electronic device 101 may provide content corresponding to pre-training and/or content corresponding to training, without depending on data from the server 110.

Meanwhile, in the embodiment of FIG. 2A, it is explained that both data for pre-training and data for training are provided by the server 110, and in the embodiment of FIG. 2B, data for pre-training and training are provided. Although it has been described that all of the data for this purpose is stored in the electronic device 101, this is merely an example. For example, it is also possible for those skilled in the art to realize that some of the at least one pre-training data and at least one training data are provided by the server 110, and the remaining part is provided by the electronic device 101. will understand.

FIG. 2D shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 2D will not be repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 251. In operation 252, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 253, the electronic device 101 may transmit bio-signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training data to the server 110.

According to one embodiment, in operation 254, the server 110 may store biometric signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. The server 110 may transmit data for training to the electronic device 101 in operation 255. In operation 256, the electronic device 101 may provide content corresponding to training based on data for training. In operation 257, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training to the server 110. In operation 258, the server 110 may confirm the evaluation result based on biometric signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to training. In one example, server 110 monitors a specific function (e.g., cognitive function, but is not limited to) of the user based on data related to user input obtained during and/or after completion of content corresponding to training. can be evaluated. For example, specific training may be performed based on user interaction, such as a game. The evaluation result may be confirmed in a way that a score is added when the user's interaction meets a predefined interaction, but this is an example and is not limited. In one example, the server 110 may confirm the evaluation result based on whether the biosignal-related data corresponds to designated reference biosignal-related data. In one example, the server 110 may confirm the evaluation result based on whether biosignal-related data satisfies at least one preset condition for cognitive function evaluation. In one example, the server 110 uses an algorithm (or lookup table and/or AI model) that takes at least one biometric signal-related data as input and a score as an output, to collect the received biosignal of the user. Although evaluation results corresponding to related data may be confirmed, the method for confirming evaluation results based on biosignal-related data described above is merely exemplary, and there are no restrictions on the method for confirming evaluation results. In one example, the server 110 may confirm the evaluation result of a specific function (eg, cognitive function) by using both biometric signal-related data and user input-related data. In one embodiment, the server 110 may store the free data received in operation 253 as well as the biometric signal-related data and/or user input-related data obtained during and/or after completion of performing the content corresponding to the training received in operation 257. -The evaluation results may be confirmed by using biometric signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to training. In one example, server 110 may use at least one data received in operation 253 as a reference. The server 110 may refer to the reference and check an evaluation result of at least one data received in operation 257 corresponding to the reference. In another example, the server 110 uses an algorithm (or lookup table and/or AI model) that uses both the at least one data received in operation 253 and the at least one data received in operation 257 to Although it is possible to check the evaluation results corresponding to the user's biosignal-related data, the method of confirming the evaluation results based on the above-described biosignal-related data is simply illustrative, and the biosignal-related data and/or the user acquired at a plurality of time points There are no restrictions on the method of confirming evaluation results using input-related data. The server 110 may transmit the confirmed evaluation result to the electronic device 101 in operation 259. The electronic device 101 may provide an evaluation result in operation 260. Meanwhile, Figure 2d shows that the evaluation results are provided after the content for training is provided, but this is simply an example, and there is no limit to the time when the evaluation results are provided, even while the content corresponding to the training is provided. , the electronic device 101 and/or the server 110 may provide evaluation results in real time (or quasi-real time).

FIG. 2E shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 2E will not be repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 261. In operation 262, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 263, the electronic device 101 may transmit bio-signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training data to the server 110.

According to one embodiment, in operation 264, the server 110 may store biometric signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. The server 110 may transmit data for training to the electronic device 101 in operation 265. In operation 266, the electronic device 101 may provide content corresponding to training based on data for training. In operation 267, the electronic device 101 may transmit to the server 110 bio-signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to training. In operation 268, the server 110 confirms additional information based on content corresponding to training and/or data related to biometric signals obtained after completion and/or data related to user input, and/or receives additional information. It may be possible. In one example, the server 110 may confirm a reward for the user as additional information based on acquired biosignal-related data and/or user input-related data. Here, the reward may include, for example, currency and/or items defined in a game and/or virtual reality (or metaverse environment). Alternatively, compensation may include, but is not limited to, transferable goods in a blockchain network independent of games and/or virtual reality, such as crypto-currency and/or NFT. When the evaluation results are relatively good, a relatively high level of compensation may be provided, or when the degree of improvement in the evaluation results is relatively high, a relatively high level of compensation may be provided, but this is simply an example and the method of providing compensation (or , policy), there are no restrictions. In operation 269, the server 110 may transmit data representing that a reward is provided to the user, data used to access the reward, and/or the reward as additional information to the electronic device 101. Based on the received additional information, the electronic device 101 expresses that a reward is provided to the user, performs access to the reward using data used to access the reward, and/or provides content associated with the reward. can be provided. Meanwhile, in another example, the server 110 may receive feedback from an administrator as additional information. For example, the server 110 may transmit acquired biosignal-related data and/or user input-related data to the manager device. A manager possessing a manager device may input feedback on the user's status into the manager device based on at least one received data. The manager device may transmit the received feedback to the server 110. Meanwhile, the server 110 receiving and providing feedback from the human manager through the manager device is simply an example, and the AI model running on the server 110 (e.g., biometric signal-related data and/or user input Feedback output from an AI model that receives related data as an input value and provides a corresponding feed value as an output value (but is not limited to this) may be provided to the electronic device 101. The server 110 may transmit feedback (or data for representing a screen configured based on the feedback) to the electronic device 101. The electronic device 101 may provide (or express) the received feedback as additional information in operation 270. That the additional information is provided after the final operation is merely illustrative, and there is no limit to the timing at which at least one feedback by the manager is provided to the electronic device 101, and at least one feedback corresponding to pre-training and/or training. Those skilled in the art will understand that as content is provided, at least one feedback by an administrator may be provided in real time (or near-real time). As described above, as additional information such as goods and/or feedback is provided, there is a possibility that the user will continue to perform training.

FIG. 2F shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 2F are not repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 271. In operation 272, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 273, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to pre-training data to the server 110.

According to one embodiment, in operation 274, the server 110 selects training based on biometric signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training. You can. For example, the server 110 determines the type of training and/or difficulty level of the training based on biometric signal-related data and/or user input-related data obtained during and/or after completion of content corresponding to pre-training. You can select . For example, in the case where an evaluation result is confirmed based on biosignal-related data and/or user input-related data obtained during and/or after completion of content corresponding to pre-training, the type of training corresponding to the evaluation result and/or the difficulty level of the training may be selected. For example, a relatively low difficulty level may be selected if the evaluation result is relatively low, and/or a relatively high difficulty level may be selected if the evaluation result is relatively high, but this is merely illustrative and limited. does not exist. The server 110 may provide data for the selected training to the electronic device 101 in operation 275. In operation 276, the electronic device 101 may provide content corresponding to training based on data for training. In operation 277, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training to the server 110. In operation 278, the server 110 may store biometric signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to training.

FIG. 2G shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 of the embodiment of FIG. 2G will not be repeated.

According to one embodiment, the electronic device 101 may provide content for pre-training in operation 281. In operation 282, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. In operation 283, the electronic device 101 may select training based on biometric signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to pre-training. For example, the electronic device 101 may determine the type of training and/or the type of training based on bio-signal related data and/or user input related data obtained during and/or after completion of content corresponding to pre-training. You can choose the difficulty level. The electronic device 101 may provide content corresponding to the selected training in operation 284. In operation 285, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to training.

FIG. 3A shows a diagram for explaining content corresponding to pre-training according to an embodiment.

Referring to FIG. 3A , according to one embodiment, the electronic device 101 may provide content for breathing training (eg, a video) as content corresponding to pre-training. For example, the electronic device 101 may provide content 300a at a first time point corresponding to pre-training. Content 300a may include a variable object 314a, a first reference object 311, a second reference object 313, and a moving object 312 disposed at the boundary of the variable object 314a. For example, the moving object 312 may move the variable object 314a during a designated targeting breathing period (e.g., 12 seconds, the sum of the targeting inhalation period (4 seconds) and the targeting exhalation period (8 seconds)). You can move the boundary once. For example, when the targeting breathing period is 12 seconds, the moving object 312 may be set to move the boundary of the variable object 314a at an angular velocity of 30°/s. Those skilled in the art will understand that based on the targeting breathing period being changed, the angular velocity of the moving object 312 may also be changed. Accordingly, during the targeting breathing period, the moving object 312 may depart from the first reference object 311 and reach the first reference object 311 again. Users can perform breathing training according to accurately targeted breathing periods. Meanwhile, the second reference object 313 may be placed at a point to represent the targeting inhalation period. For example, if the first reference object 311 is assumed to be 0°, the targeting inhalation period is 4 seconds, and the targeting exhalation period is 8 seconds, the second reference object 313 is 360°X ([ It can be placed at a point of 120°, which is the result of the calculation of [4 seconds]/[4 seconds + 8 seconds]). Accordingly, the user can perform breathing training according to the accurately targeted inhalation period and the accurately targeted exhalation period.

For example, referring to the content 300b at the second viewpoint, it can be seen that the moving object 312 moves along the boundary of the variable object 314b over time. Meanwhile, for example, the variable object 314b at the second viewpoint may be larger than the variable object 314a at the first viewpoint. For example, the electronic device 101 may set the target inhalation period (e.g., the period until the moving object 312 passes the first reference object 311 and reaches the second reference object 313). In this case, the size of the variable objects 314a and 314b may be gradually increased. Meanwhile, the electronic device 101, during the targeting exhalation period (for example, the period until the moving object 312 passes the second reference object 313 and reaches the first reference object 311), The size of the variable objects 314a and 314b may be gradually reduced. Accordingly, the user can observe that the size of the variable objects 314a and 314b increases during the targeting inhalation period, and the size of the variable objects 314b and 314c decreases during the targeting exhalation period. Referring to the content 300c at the third viewpoint, as the moving object 312 passes through the second reference object 313 and moves to the first reference object 311, the size of the variable object 314c changes from the existing It can be seen that it decreases further. Meanwhile, within the variable object, phrases such as “Try breathing following the voice guide” may be included, but there is no limit. Meanwhile, changing the sizes of the variable objects 314a, 314b, and 314c is an example, and those skilled in the art will understand that it is also possible for the sizes of the variable objects 314a, 314b, and 314c to remain unchanged. Meanwhile, those skilled in the art will understand that, depending on implementation, properties (eg, color and/or transparency) of at least some of the objects may also change based on the passage of time. For example, the color may gradually change from the first color to the second color during the targeting inhalation period, the color may gradually change from the second color to the first color during the targeting exhalation period, and the targeting inhalation period and There is no limit to the visual effect that causes distinct recognition of the targeted exhalation period. In another embodiment, a progress-bar corresponding to the total time of breathing training and an object (which may also be called an indicator) expressed in different colors to indicate the degree of elapse on the progress bar, It may also be expressed as content for breathing training.

For example, content corresponding to pre-training of breathing exercises is auditory content, such as commentary such as “Empty your mind and focus on your breathing” and/or music that can relieve tension (e.g. Music that has an effect on the activation of DAN) may be included, but there is no limitation. Alternatively, auditory content may be set in response to targeted breathing. For example, if a 4-second inhalation hold and an 8-second exhalation hold are required as the targeting breath, the auditory content would play the audio output "Inhale slowly" followed by "Exhale slowly" 4 seconds later. The audio output of " may be configured to be played. Meanwhile, even with the same type of pre-training, the difficulty level may be adjusted. For example, as the inhalation period and exhalation period of breathing increase, it may be difficult for the user to breathe according to the corresponding guide. For example, in pre-training of meditation, the difficulty may be adjusted based on the in-breath holding period and the exhaling holding period, but this is an example and there is no limit to the method of difficulty adjustment. Meanwhile, the difficulty adjustment of pre-training will be described in more detail later.

As the content corresponding to the above-described pre-training is provided, a user wearing (or possessing) the electronic device 101 can experience (or perform) the content corresponding to the pre-training. For example, as content corresponding to pre-training as shown in FIG. 3A is provided, the user can inhale and exhale. Depending on the performance of breathing training, the state of the user's brain may reach a state appropriate for the performance of training to improve specific abilities (eg, cognitive abilities). For example, by activating the DAN, anxiety that interferes with training-based cognitive function improvement may be reduced.

Meanwhile, depending on the implementation, the electronic device 101 performs pre-training (e.g., of the same type and level of difficulty) based on the sole judgment of the electronic device 101 and/or the judgment by the server 110. Pre-training, pre-training of the same type and different difficulty, or different types of pre-training) may be additionally performed. Depending on the implementation, if it is determined that the state of the user's brain has not reached an appropriate state for performing training to improve a specific ability (for example, cognitive ability), the electronic device 101 )'s sole judgment and/or judgment by the server 110, pre-training may be additionally performed, which will be described later.

According to one embodiment, the electronic device 101 may acquire data related to biometric signals and/or data related to user input sensed during and/or after completion of pre-training. The electronic device 101 may transmit at least one acquired data to the server 110 and/or check the state of the brain based on the at least one acquired data. For example, the electronic device 101 may detect brain waves (e.g., brain waves sensed from a built-in brain wave sensor and/or a brain wave sensor included in an external sensor device 195 connected wired or wirelessly to the electronic device 101). EEG signals (but without limitation) can also be acquired as data related to biological signals.

In various embodiments, the electronic device 101 determines the state of the user's brain based on data associated with various bio-signals including sensed brain waves and/or heart-related information (e.g., HR, HRV, etc.). You can check whether a state suitable for training has been reached. Conditions for determining whether the brain state has reached a state suitable for training may be stored in the electronic device 101. For example, a condition could be the signal strength in a specific band (e.g., low alpha wave band) identified based on brain waves (e.g., based on brain waves measured after content corresponding to pre-training was provided). It may be whether the signal strength (which may be the average signal strength while content corresponding to pre-training is provided, but is not limited) is greater than or equal to the threshold strength. Those skilled in the art will understand that brain waves may be identified based on EEG, for example, but without limitation. For example, the condition may be whether calmness calculated based on brain waves is greater than or equal to a critical calmness. For example, the condition may be whether the difference between the shape or pattern of the brain wave and the reference shape or reference pattern is less than or equal to a threshold difference. Meanwhile, those skilled in the art will understand that the above-mentioned conditions are merely exemplary, and that there are no restrictions on the conditions for determining the state of the brain, and there are no restrictions on the types of parameters used in the conditions. Meanwhile, those skilled in the art will understand that the operation of checking whether the state of the brain by the above-described electronic device 101 has reached a state suitable for performing training may be performed by the server 110.

As an example for determining whether the state of the brain has reached a state suitable for performing training, a psychological response can be used. Mental responses can be associated with (or identify) negative emotions (anger, anxiety, irritation, depression, worry, frustration and/or hostile). Mental responses may be associated with the activity of the Sympathetic Nervous System (SNS). Various parameters used to determine whether the brain state has reached a state suitable for training performance include ECG (Electrocardiography), EEG (electroencephalography), blood pressure, respiration (or respiratory system), BVP (blood volume pulse), and skin temperature. , heart rate variability (HRV), pupil size, salivary cortisol level, body's hormone levels, sweat production, heart rate, breathing (or respiratory system), vocal tract, and/or degree of muscle activation may be used. Alternatively, the user's speech characteristics may also be used as various parameters to determine whether the brain state has reached a state suitable for training.

For example, the electronic device 101 may determine whether the state of the brain has reached a state suitable for performing training, based on the features and/or patterns of the ECG. Characteristics of the ECG include, but are not limited to, mean value, standard value, deviation value, maximum value, minimum value, power and/or energy value of processed raw data, HR, and/or HRV. For example, HR can be expressed as the number of heart beats per minute and has been shown in numerous studies to tend to increase during periods of stress. Accordingly, there is a correlation between being stressed and maintaining calmness (or DMN activation), and thus, based on analysis of HR, the brain state does not reach a state suitable for training performance. You can determine whether or not. HRV can be a temporal change between successive sequences of HR, which can also be used to identify stress. For example, based on irregular changes in HRV, it may be determined whether the state of the brain has reached a state suitable for performance of training, but there is no limitation. For example, in a stressful environment, the high frequency (HF) value of HRV may decrease while the ratio of low frequency (LF)/HF may increase at the same time. The electronic device 101 may determine whether the state of the brain has reached a state suitable for performing training, for example, based on HF, LF, and/or the ratio of LF/HF. For example, standard deviation of RR intervals (SDRR), root mean square (RMSSD), standard deviation (SDSD) of RR intervals, deviation of the averages of NN intervals (SDANN), percentage of the number of successful RR intervals (pNN50) An index (or parameter) in the time domain, such as varying more than 50 ms from the previous interval), TI (HRV triangular index), and/or TINN (triangular interpolation of RR interval histogram), is additionally (or alternatively) ) can be used to determine whether the state of the brain has reached a state suitable for the performance of training, but there is no limitation. For example, in the frequency domain such as LF/HF ratio, HF/All ratio, ULF (ultra low frequency), VLF (very-low frequency), LF, HF, (LF+MF (middle frequency)/HF) ratio. The index (or parameter) may be additionally (or alternatively) used to determine whether the state of the brain has reached a state suitable for performing training, but there is no limitation. For example, entropy, Shannon entropy, complexity associated with the randomness of RR intervals, ponicarT plots, SD values, line lengths in Recurrence Plots based on Detrended Fluctuation Analysis (DFA), fluctuation slopes, and/or tones representing sympathovagal balance. Non-linear measurements may additionally (or alternatively) be used to determine whether the state of the brain has reached a state suitable for performance of training, but is not limited to this.

For example, the electronic device 101 may determine whether the state of the brain has reached a state suitable for performing training, based on features and/or patterns of the EEG. Based on the frequency of the EEG, Alpha waves (8-13 Hz), Beta waves (13-30 Hz), Delta waves (0.1-4 Hz), and/or Theta waves (4-8 Hz) may be identified. Alpha waves can be used to determine calmness. Accordingly, when the Alpha wave is relatively high, it can be determined that the brain state has reached a state suitable for training, but there is no limit. Beta waves may be associated with cognitive and/or emotional processes, and accordingly, when the Beta waves are relatively low, it may be determined that the brain state has reached a state suitable for training, but there is no limit. EEG, along with other signals, may be used to determine whether the state of the brain has reached a state suitable for the performance of training. Meanwhile, in addition to the above-mentioned brain waves, the average amplitude, the average amplitude of the Event Related Potential (ERP), and/or the average power ratio (e.g., the ratio between two specific brain waves, without limitation) are additionally (or alternatively) ) can be used to determine whether the state of the brain has reached a state suitable for the performance of training, but there is no limitation.

For example, the electronic device 101 may have electrodermal activity (EDA) (or galvanic skin response (GSR), electrodermal response (EDR), electrodermal level (EDL), skin conductance activity (SCA), and/or skin conductance activity (SCR). Based on the features and/or patterns of the Conductance Response), it can be determined whether the state of the brain has reached a state suitable for performing training. For example, if the state of the brain does not reach a state suitable for the performance of training, increased sweating may occur and changes in the properties of the skin (e.g. increased conductance and/or resistance) may occur. ), but there is no limit). Accordingly, the electronic device 101 can check whether the state of the brain has reached a state suitable for performing training, based on EDA. For example, EDA and respiration may be used together to provide a highly reliable measure of stress levels, but other combinations (e.g. EDA and HRV, or EDA and HR) are also possible, with the combination elements and/or There is no limit to the number of elements. As features for analysis of EDA, statistical values such as mean amplitude, standard deviation of amplitude, minimum, maximum, and/or RMS may be used. Latency between the stress stimulus and the response, rising time (tRise), difference between first value and the maximum (DiffMax), position of maximum (MaxPos), position of minimum (MinPos), difference between first value and the maximum (DiffMax) , difference between value and the minimum (DiffMin), zero crossings (ZC), number of peaks, peak height and/or half recovery time (tRecovery) are additionally (or alternatively) used to determine the state of the brain during training. It may be determined whether a state suitable for is reached or not, but there is no limit. Orienting responses(Onset (O), peak (P), duration (D) and magnitude (M)), total number of responses, sum of intensities, sum of response periods, sum of predicted areas based on responses, DiffAvg( Kurtosis, skewness and smoothed 1st derivative average), and/or average area under the rising half of SCRs (areaRise) are additionally (or alternatively) used to determine whether the state of the brain has reached a state suitable for the performance of training. It can be judged, but there is no limit.

For example, if the state of the brain does not reach a state suitable for performing training, blood pressure may be relatively high, and accordingly, the electronic device 101 may provide bio-signal-related data that can identify blood pressure in this case. By checking, it is possible to check whether the state of the brain has reached a state suitable for training performance. Meanwhile, in addition to the above-described comparison of blood pressure, those skilled in the art will understand that determination based on comparison results with a reference (e.g., a pattern but without limitation) is also possible, and that this also applies to determination based on parameters other than blood pressure. Blood pressure characteristics include, but are not limited to, Systolic (SBP), Diastolic (DBP), mean value, standard deviation, and/or peak characteristics (e.g., number).

For example, if the state of the brain has not reached a state suitable for the performance of training, breathing may be relatively fast, and accordingly, the electronic device 101 may collect biosignal-related data that can identify the breathing rate in this case. By checking, it is possible to check whether the state of the brain has reached a state suitable for training performance. Respiration can be measured with, for example, but not limited to, a pneumotachometer (or pneumotachograph). Characteristics of respiration include, for example, mean value, variance, mean, median, RMS, minimum, minimum?, first (or second) derivative, maxRatio, rRate (respiration rate), and/or a plurality of bands (e.g. For example, energy in the bands 0-0.1 Hz, 0.1-0.2 Hz, 0.2-0.3 Hz, 0.3-0.4 Hz) can be used, but there is no limitation.

For example, the electronic device 101 may determine whether the state of the brain has reached a state suitable for performing training, based on the features and/or patterns of BVP (Blood Volume Pulse). BVP can be sensed based on photoplethysmography (PPG), for example, but is not limited to this. As characteristics of BVP, the BVP itself, average value, standard deviation, and/or LF/HF ratio, etc. can be used, but there is no limitation.

For example, if the state of the brain does not reach a state suitable for performing training, the temperature of the skin may be relatively low, and accordingly, the electronic device 101 determines the state of the brain for training based on the temperature of the skin. You can check whether a state suitable for performance has been reached. The temperature of the skin may be influenced by, for example, vascular resistance and/or arterial blood pressure, and these factors may be affected by stress. Characteristics for skin temperature include, but are not limited to, average, minimum, maximum, and/or standard deviation.

For example, the electronic device 101 may determine whether the state of the brain has reached a state suitable for performing training, based on the features and/or patterns of an electromyogram (EMG). EMG is based on the electrical activity of muscles, and stress can increase muscle tone. In particular, stress may affect the facial and/or trapezius muscles, and it may be determined whether the state of the brain has reached a state suitable for performing training based on EMG in the corresponding area. For example, an increase in the EMG amplitude and/or a decrease in the gap in the area may be measured in a relatively high stress situation. Alternatively, the LF of EMG may increase rapidly in stressful situations. For example, EMG characteristics may be used, but are not limited to, mean, median, average, RMS, minimum, maximum, and/or median and peak loads. For example, tGaps(average number of gaps per minute and/or relative time with gaps), average and median frequency values, first (or second) derivative of EMG, maxRatio(number of maxima divided by the total number of signal values), and/or minRatio(number of minima divided by the total number of signal values) may be additionally (or alternatively) used to determine whether the state of the brain has reached a state suitable for performance of training. However, there is no limit.

For example, if the state of the brain does not reach a state suitable for performing training, the size of the pupil may be relatively large, and accordingly, the electronic device 101 determines the state of the brain for training based on the size of the pupil. You can check whether a state suitable for performance has been reached. As characteristics for pupil size, the average value, maximum value, standard deviation, percentage of large pupil dilation (PerLPD), pupil ratio variation (PRV), and/or Walsh coefficient may be used, but there is no limitation. Additionally (or alternatively), the user's gaze, eye blink speed, speed of change of the user's head movement, and/or speed of change of facial expression may be used to determine the state of the brain.

For example, if the state of the brain has not reached a state suitable for performance of training, the level of a particular hormone (e.g., adrenaline level) may be relatively high, and the electronic device 101 may therefore be controlled based on the hormone level. This allows you to check whether the brain state has reached a state suitable for training. Meanwhile, hormones such as cortisol as well as adrenaline may be additionally (or alternatively) used to determine the state of the brain without limitation.

Meanwhile, pre-existing indices (e.g., Stress Self Rating Scale (SSRS), Perceived Stress Scale (PSS), and/or Stress Response Inventory (SRI)) determine whether the brain state has reached a state suitable for the performance of training. It can also be used to check whether

For example, the electronic device 101 may acquire data related to the user's breathing (eg, maintenance period of inhalation and/or maintenance period of exhalation) as data related to biosignals. Data related to breathing may be sensed and/or determined by, for example, a motion sensor of the electronic device 101, but since it is related to the user's vital activities, it may also be named data related to biosignals. The electronic device 101 may determine breathing fidelity (e.g., but not limited to, the correlation between the measured breathing period and the guided breathing period based on the audio output), for example, based on data associated with the user's breathing. You can also check it. For example, the electronic device 101 may check whether the breathing fidelity is greater than or equal to the critical breathing fidelity as a condition for determining whether the state of the user's brain has reached a designated state. As described above, the electronic device 101 may alternatively (or additionally) use sensing data other than brain waves to determine whether the user's brain state has reached a designated state. Meanwhile, those skilled in the art will understand that the operation of checking whether the state of the brain by the above-described electronic device 101 has reached a state suitable for performing training may be performed by the server 110.

According to one embodiment, the electronic device 101 and/or the server 110 may use at least one user input-related data identified during and/or after completion of pre-training as an alternative to biometric signal-related data. It can also be used (or additionally) to check whether the state of the brain has reached a state suitable for the performance of training. For example, the electronic device 101 may provide a UI capable of receiving user input after pre-training is completed, either alone or based on linkage with the server 110. The UI may include, for example, guidance text such as “What is your concentration level?” and a function object for entering the user’s concentration level, but this is an example and is not limited. The electronic device 101 and/or the server 110 may obtain user input through a UI provided by the electronic device 101. The electronic device 101 and/or the server 110 uses the acquired user input as an alternative (or in addition) to biosignal-related data to determine whether the state of the brain has reached a state suitable for performing training. You can also check it.

Meanwhile, in one embodiment, the electronic device 101 and/or the server 110 may use bio-signal related data and/or user input measured during and/or after completion of pre-training to perform subsequent training. It can also be set as a standard (or may be called a baseline) for evaluating the results. Meanwhile, this is an example, and the electronic device 101 and/or the server 110 may set a standard (or baseline) for evaluating the training performance results independently from the pre-training performance results. , Alternatively, the performance results of training may be evaluated without using a standard (or baseline).

FIG. 3B is a diagram for explaining content corresponding to training according to an embodiment.

According to one embodiment, after providing content corresponding to pre-training, the electronic device 101 provides content corresponding to training alone or based on linkage with the server 110, as shown in FIG. 3B. can do. For example, the content corresponding to training is content corresponding to environmental change recognition training, and includes at least one first image (e.g., a plurality of still images or moving images) including at least one object 311 and 312. images of dogs). The first object 311 included in at least one first image includes, for example, a table-shaped sub-object, a hat-shaped sub-object disposed on the table-shaped sub-object, an apple-shaped sub-object, and a banana It may include sub-objects of shape. The second object 312 included in at least one first image may be a sub-object in the shape of a bird that moves within the corresponding scene. As at least one first image is played, the effect of moving the second object 312, which is a new-shaped sub-object in the corresponding scene, may be expressed. In one example, the first object 311 may be an object for the purpose of distracting concentration. In one example, the first object 311 may be an object for measuring concentration. For example, content corresponding to training may include at least one second image including the third object 313. The third object 313 included in at least one second image includes, for example, a table-shaped sub-object, a hat-shaped sub-object disposed on the table-shaped sub-object, an apple-shaped sub-object, and a banana-shaped sub-object. It may include a sub-object of and a beach-ball-shaped sub-object. For example, the third object 313 may further include a beach ball-shaped sub-object compared to the second object 312. For example, content corresponding to training may include guide text (or audio output) such as “Please choose the object that was in the box just a moment ago,” along with the display of at least one second image. For example, the correct answer to the problem may be the selection of the remaining sub-objects other than the beach ball-shaped sub-object, and the incorrect answer to the problem may be the selection of at least one sub-object including the beach ball-shaped sub-object. Meanwhile, depending on the implementation, various incorrect answers that select at least one sub-object including a beach ball-shaped sub-object may also be collectively treated as incorrect, or scores may be distributed differentially. Meanwhile, in the environmental change training, content related to a change in the visual environment has been described, but this is an example, and those skilled in the art will understand that content for recognizing not only a change in the visual environment but also an auditory change is possible.

In one embodiment, the difficulty of the training may be adjusted. For example, as the number of environmental changes in environmental change awareness training increases, the difficulty may increase. For example, as the difference in provision timing between changed environments increases, the difficulty may increase. Meanwhile, the difficulty adjustment of training will be described in more detail later. As content corresponding to the above-described training is provided, a user wearing (or possessing) the electronic device 101 can experience (or perform) content corresponding to the training.

According to one embodiment, the electronic device 101 may acquire data related to biometric signals and/or data related to user input sensed during and/or after completion of training. The electronic device 101 may transmit at least one acquired data to the server 110 and/or check the state of the brain based on the at least one acquired data. For example, the electronic device 101 may detect brain waves (e.g., brain waves sensed from a built-in brain wave sensor and/or a brain wave sensor included in an external sensor device 195 connected wired or wirelessly to the electronic device 101). EEG signals (but without limitation) can also be acquired as data related to biological signals. The electronic device 101 may check the user's specific ability (eg, cognitive ability) based on the sensed brain waves. For example, an indicator of a specific ability may be the signal strength in a specific band (e.g., low alpha wave band) identified based on brain waves (e.g., measured after content corresponding to pre-training is provided). It may be confirmed based on signal strength based on brain waves, or the average signal strength while content corresponding to pre-training is provided, but there is no limitation. For example, an indicator of a specific ability may be concentration calculated based on brain waves (e.g., concentration based on brain waves measured after content corresponding to pre-training is provided, or content corresponding to pre-training is provided). It can be confirmed based on the average concentration during the process (but there is no limit). For example, indicators of specific abilities may be identified based on brain wave shapes or patterns. Meanwhile, in one embodiment, the electronic device 101 and/or the server 110 uses the difference between data sensed in response to pre-training and data sensed in response to training to generate an indicator of a specific ability. You can also check it. In this case, data sensed in response to pre-training may be used as a standard (or baseline). Meanwhile, those skilled in the art will understand that there are no restrictions on the types and/or methods of parameters for determining indicators of specific abilities. The electronic device 101 and/or the server 110, based on bio-signal related data and/or user input related data obtained during and/or after completion of training as described above, may be configured to perform a specific ability (e.g., You can check the indicators of cognitive ability. Meanwhile, when data corresponding to pre-training is used as a reference, the electronic device 101 and/or the server 110 collects data related to biometric signals and/or user input related to data acquired during and/or after completion of training. An indicator of a specific ability (eg, cognitive ability) may be confirmed using data, data related to biometric signals and/or data related to user input acquired during and/or after completion of pre-training.

FIG. 3C is a diagram for explaining content corresponding to training according to an embodiment.

According to one embodiment, after providing content corresponding to pre-training, the electronic device 101 provides content corresponding to training alone or based on linkage with the server 110, as shown in FIG. 3C. can do. For example, the content corresponding to training is content corresponding to object tracking training, and includes at least one first image (e.g., a plurality of still images or moving images) including at least one object 324 and 325. images) may be included. At least one object 324 and 325 may be expressed in a different way from the remaining objects. In one example, at least one object 324 and 325 may be displayed to blink and the remaining objects may be displayed to not blink, but there is no limitation. Content corresponding to object tracking training may include a guide for selecting at least one graphic object 324 or 325 expressed in a specific way among a plurality of objects (for example, ball-shaped objects). For example, the content may include text such as “This is a game to remember the blinking ball” or “Please remember the blinking ball.” Thereafter, at least one object 324 and 325 may be expressed in the same manner as other objects, and a video of all objects moving may be provided. For example, the content may include a video in which a plurality of objects expressed in the same way repel each other when they are close, but do not overlap. The content may include a frozen image of a plurality of objects, along with guide text such as "The balls have stopped. Let's find the ball that blinked at first." Alternatively, the content may include an image in which objects are arranged in a three-dimensional space, as shown on the right side of FIG. 3C. For the effect of being placed in three-dimensional space, the sizes of objects may be expressed differently. Content may include a video effect in which all objects move, and depending on movement in 3D, the size of the objects may change during movement. For example, before the objects move, a specific object 327 may be expressed in a different way from the remaining objects. Afterwards, the specific object 327 may be expressed in the same way as the remaining objects. Alternatively, training may be set by tracking the object that was initially located at the front, and there is no limit to the object tracking method. Meanwhile, the difficulty of training may be adjusted, for example, based on adjustment of the number of objects to be tracked and the moving speed of the objects, but there is no limit. Alternatively, training may be set in a way that sequentially designates objects placed far from objects placed close to each other in a three-dimensional space, rather than through object tracking.

FIG. 3D is a diagram for explaining content corresponding to training according to an embodiment.

According to one embodiment, after providing content corresponding to pre-training, the electronic device 101 provides content corresponding to training alone or based on linkage with the server 110, as shown in FIG. 3D. can do. For example, the content corresponding to training is content corresponding to sequence memory training, and includes at least one first image (e.g., a plurality of still images or moving images) including at least one object 331. images) may be included. The content may further include, but is not limited to, information 332 associated with, for example, time remaining, number of trials, and/or score. At least one object 331 may be expressed in a different way from the remaining objects. For example, a specific object of at least one object 331 may be expressed in a different way (eg, a color may be expressed differently, or a different visual effect may be provided) than the remaining objects. Thereafter, in at least one object 331, another object may be expressed in a different way from the remaining objects. Order memory training can, for example, be set up to require specification of the order of objects represented in different ways. The electronic device 101 may provide guide text such as, for example, “All the boxes that were illuminated have turned off. Please select the boxes that were illuminated just now in the order you saw them.” The difficulty of sequence memory training may be adjusted based on, for example, the period during which a specific object is expressed in a different way, the number of objects expressed in a different way, the total number of objects, etc. Alternatively, as shown in the lower left diagram of FIG. 3D, the order of expression in different ways may be expressed in numbers, and the corresponding content may be provided at a lower difficulty level. Alternatively, as shown in the lower right side of FIG. 3D, an object 361 corresponding to the user's controller may be placed in the content. In one embodiment, the electronic device 101 may provide training of target object quick designation training, which quickly designates a highlighted object. In this case, the user may confirm the point he or she is currently indicating based on the location of the object 361 corresponding to the controller. A target object among a plurality of objects may be expressed in a different way from the other remaining objects, and an electronic device ( 101) and/or the external controller 196 can be operated. The electronic device 101 and/or the server 110 determines whether the current user has designated a target object based on data confirmed based on the sensor 184 of the electronic device 101 and/or the external controller 196. This can be checked, and the cognitive function can also be evaluated, for example, based on the accuracy of designating the target object and/or the time taken to designate it. Meanwhile, the above-mentioned environmental change recognition training, object tracking training, sequence memory training, and/or target object quick designation training are simple examples, and there is no limitation on the type of training, for example, training such as training for inducing sleep. It may also be included.

Meanwhile, in the embodiments of FIGS. 3B to 3D, training is described as proceeding based on user input, but this is merely an example. In one embodiment, the electronic device 101 may check the score for training based on data related to the user's biosignals sensed while training is in progress. In one example, training may be set to give a relatively high score when the measured HR reaches a certain HR. In this case, the electronic device 101 and/or the server 110 may check the PPG signal sensed from the user and/or the HR confirmed based on the PPG signal while the training content is provided, and the confirmed HR Based on the similarity (or difference) between and a specific HR, a score may be given to the user, and/or the success of the training may be determined. In this case, the content may include visual and/or auditory content that leads to satisfying the conditions for the required biosignal-related data. For example, but not limited to, a changeable visual effect may be provided depending on the difference between the measured HR and the specific HR. In one embodiment, the electronic device 101 and/or the server 110, as described above, based on biometric signal-related data and/or user input-related data, determines a user's specific function (e.g., cognitive Not only can information (e.g., level) related to a function) be confirmed, but additionally (or alternatively), the success of the training, and/or a score associated with the training can be confirmed.

FIG. 4A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. The embodiment of FIG. 4A will be described with reference to FIG. 4B. Figure 4b is an example of data related to a user's biosignals according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 4A will not be repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 401. In operation 403, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 405, the electronic device 101 may transmit bio-signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training data to the server 110.

According to one embodiment, in operation 407, the server 110 determines whether biometric signal-related data and/or user input-related data obtained during and/or after completion of content corresponding to pre-training satisfies a specified condition. You can check.

In one example, the server 110 may check whether biometric signal-related data acquired during and/or after completion of content corresponding to pre-training satisfies specified biometric signal-related conditions. Here, the biosignal-related condition is, for example, an indicator indicating whether the state of the user's brain is suitable for performing training (e.g., a state in which the degree of improvement of a specific function is optimized when performing training). It can be set, and there is no limit to the type and/or number of parameters constituting the condition. Here, those skilled in the art will understand that the biosignals may, for example, be associated with brain waves to a region associated with the DMN, but are not limited thereto.

In one example, the server 110 may check whether user input-related data obtained during and/or after completing content corresponding to pre-training satisfies specified user input-related conditions. Here, the user input-related condition is, for example, an indicator indicating whether the state of the user's brain is suitable for performing training (e.g., a state in which the degree of improvement of a specific function is optimized when performing training). It may be set based on a score calculated based on user input, and/or a response to an inquiry as to whether the user is focused, but there is a limit to the type and/or number of user input constituting the condition. There is no If free-activity is set based on a response to an inquiry as to whether the user is focused, the information transmitted to the server 110 may include, for example, a first flag indicating that the user is focused on free-training, and It may be either of the second flags indicating that the user is not focused on pre-training. In one example, the server 110 may check whether both biometric signal-related conditions and user input-related conditions are satisfied.

According to one embodiment, if it is confirmed that the specified condition is not satisfied (407-No), the server 110 may provide data for pre-training to the electronic device 101. If the state of the user's brain does not reach a state suitable for performing training (for example, a state in which the degree of improvement of a specific function is optimized during training), pre-training needs to be performed rather than training. there is. The server 110 may transmit data for pre-training to the electronic device 101 based on this. The electronic device 101 may provide content corresponding to pre-training based on data for pre-training. The user can experience (or perform) content corresponding to pre-training. The electronic device 101 may then transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training to the server 110, and the server 110 You can check whether the specified conditions are satisfied again. Pre-training may be repeatedly performed until the specified conditions in operation 407 are satisfied. For example, when pre-training is repeated, the same pre-training may be provided. For example, when pre-training is repeated, pre-training of the same type but with an adjusted level of difficulty may be provided. For example, when pre-training is repeated, different types of pre-training may be provided.

According to one embodiment, if it is confirmed that the specified condition is satisfied (407 - Yes), the server 110 may provide data for training to the electronic device 101 in operation 409. When the state of the user's brain reaches a state suitable for performing training (e.g., a state in which the degree of improvement of a specific function is optimized when performing training), performance of pre-training is stopped and training is performed. There is a need. The server 110 may transmit data for training to the electronic device 101 based on this. For example, the server 110 may transmit data for designated training to the electronic device 101. For example, the server 110 may transmit data for training associated with the user or selected by the user to the electronic device 101 . For example, the server 110 may send data for training selected based on biosignal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training to the electronic device 101. ) can be sent. In operation 411, the electronic device 101 may provide content corresponding to training based on data for training. The user can experience (or perform) content corresponding to training. In operation 413, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training to the server 110, and the server 110 ), in operation 415, may store bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training. In one example, the server 110 determines the state and/or specific function of the user's brain based on biosignal-related data and/or user input-related data obtained during and/or after completion of content corresponding to training. Evaluation results for (e.g., cognitive function) may be generated and/or provided.

FIG. 4B shows a flowchart explaining a method of operating an electronic device according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 of the embodiment of FIG. 4B will not be repeated.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training in operation 431. For example, the electronic device 101 may provide content corresponding to pre-training based on data corresponding to pre-training stored in the electronic device 101. In operation 433, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. In operation 435, the electronic device 101 may check whether biometric signal-related data and/or user input-related data acquired during and/or after completion of pre-training content satisfies a specified condition. As described as an operation of the server 110 with reference to FIG. 4A, the electronic device 101 determines that biometric signal-related data acquired during and/or after completion of content corresponding to pre-training is determined according to a specified biometric signal-related condition. You can check whether it satisfies. In one example, the electronic device 101 may check whether user input-related data obtained during and/or after completing content corresponding to pre-training satisfies specified user input-related conditions. In one example, the server 110 may check whether both biometric signal-related conditions and user input-related conditions are satisfied.

According to one embodiment, if it is confirmed that the specified condition is not satisfied (435-No), the electronic device 101 may provide content corresponding to pre-training. If the state of the user's brain does not reach a state suitable for performing training (for example, a state in which the degree of improvement of a specific function is optimized during training), pre-training needs to be performed rather than training. there is. As mentioned above, for example, relatively high anxiety can reduce the efficient functioning of the goal-directed attention system, and therefore the effectiveness of training can be optimized by performing pre-training prior to training. there is. The electronic device 101 may provide content corresponding to pre-training based on this. The user can experience (or perform) content corresponding to pre-training. The electronic device 101 may then check again whether bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training satisfies specified conditions. Pre-training may be repeatedly performed until the specified conditions in the 435 operation are satisfied. For example, when pre-training is repeated, the same pre-training may be provided. For example, when pre-training is repeated, pre-training of the same type but with adjusted difficulty may be provided. For example, when pre-training is repeated, different types of pre-training may be provided. As pre-training is repeated, the user's brain state may reach a state optimized for training performance. Accordingly, training can be performed after the user's brain reaches a state optimized for training performance, which can accelerate improvement in cognitive function. Accordingly, resource waste due to repeated training when the user's brain state has not reached a state optimized for training can be prevented.

According to one embodiment, if it is confirmed that the specified condition is satisfied (435 - Yes), the electronic device 101, in operation 437, generates content corresponding to training based on data for training stored in the electronic device 101. can be provided. When the state of the user's brain reaches a state suitable for performing training (e.g., a state in which the degree of improvement of a specific function is optimized when performing training), performance of pre-training is stopped and training is performed. There is a need. The electronic device 101 may provide content corresponding to training based on data for training. For example, the electronic device 101 may provide content for designated training. For example, the electronic device 101 may provide content for training that is associated with the user or selected by the user. For example, the electronic device 101 may provide content for training selected based on biosignal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training. there is. The user can experience (or perform) content corresponding to training. In operation 439, the electronic device 101 may store biometric signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to training. In one example, the electronic device 101 determines the state of the user's brain and/or specifies the state of the user's brain and/or specific data based on biosignal-related data and/or user input-related data obtained during and/or after completion of content corresponding to training. Evaluation results for functions (e.g., cognitive functions) may be generated and/or provided.

FIG. 4C shows a flowchart explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 4C will not be repeated.

According to one embodiment, in operation 441, the electronic device 101 collects sensing data of the user's biological signal measured by the sensor 184 and/or sensing data of the user's biological signal received from the external sensor device 195. Biosignal-related data, including, may be transmitted to the server 110. For example, the electronic device 101 may transmit acquired biosignal-related data to the server 110 before content corresponding to pre-training is provided. The server 110 may check whether biosignal-related data satisfies a specified condition in operation 442. Here, the specified condition may be a condition for determining whether the state of the user's brain has reached a state suitable for performing training (for example, a state in which the degree of improvement of a specific function is optimized when performing training). . For example, the conditions under which biosignal-related data are specified in operation 442 may be at least partially the same as the conditions specified in operation 407 described in FIG. 4A. Alternatively, the conditions for specifying biosignal-related data in operation 442 may be set differently from the conditions specified in operation 407 described in FIG. 4A. In one example, the condition for specifying biosignal-related data in operation 442 may be set to a more relaxed condition than the condition specified in operation 407. For example, if the transition condition from pre-training to training in operation 407 is a condition of whether the evaluation result is greater than or equal to the second threshold, the condition for determining whether to perform pre-training in operation 442 is evaluation. The condition may be whether the result is greater than or equal to a first threshold value that is less than the second value, but this is merely an example and is not limited. If the specified condition is not satisfied (442-No), the server 110 may provide data for pre-training to the electronic device 101 in operation 443. As described above, if it is determined that the user's brain state is not suitable for performing training, the user's brain state will be required to reach the designated brain state by performing pre-training. You can. Accordingly, the server 110 may be set to transmit data for pre-training to the electronic device 101 when the specified condition is not satisfied (442-No). In operation 444, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. Although not shown, as described above, the electronic device 101 provides an indication to the server 110 indicating that pre-training is completed, or provides a biological signal during and/or after pre-training is completed. Related data and/or user input related data may be provided to the server 110. Thereafter, the server 110 may provide data for training to the electronic device 101 in operation 445. The electronic device 101 may provide content corresponding to training based on training data. Accordingly, the user can perform (or experience) content corresponding to training. Meanwhile, if the biosignal-related data satisfies the specified condition (442-Yes), the server 110 may skip providing data for pre-training and immediately provide data for training. As described above, at least part of the purpose of pre-training is to bring the state of the user's brain to a designated state for performing training, so when the designated condition in operation 442 is satisfied, The provision of pre-training may be skipped.

FIG. 4D shows a flowchart explaining a method of operating an electronic device according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 of the embodiment of FIG. 4D will not be repeated.

According to one embodiment, the electronic device 101 may acquire bio-signal-related data in operation 451. For example, the electronic device 101 may generate a biometric signal, including sensing data of the user's biosignal measured by the sensor 184 and/or sensing data of the user's biosignal received from the external sensor device 195. Relevant data can be obtained. For example, the electronic device 101 may obtain acquired biosignal-related data before content corresponding to pre-training is provided. The electronic device 101 may check whether biosignal-related data satisfies a specified condition in operation 453. The specified conditions in operation 453 may be at least partially the same as, but are not limited to, the specified conditions described in operation 442 in Figure 4C, for example. If the bio-signal-related data does not satisfy the specified condition (453-No), the electronic device 101 may provide content corresponding to pre-training in operation 455. As described above, if the biosignal-related data does not reach a state suitable for performing training, it is necessary for the user to perform pre-training so that the state of the user's brain reaches a state suitable for performing training. there is. Accordingly, the electronic device 101 can provide content corresponding to pre-training. After providing content corresponding to pre-training, the electronic device 101 may provide content corresponding to training in operation 457. Meanwhile, if the biosignal-related data satisfies the specified condition (453-Yes), the electronic device 101 may skip providing content corresponding to pre-training and immediately provide content corresponding to training. .

FIG. 5A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 5A will not be repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 501. In operation 503, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 505, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to pre-training data to the server 110.

According to one embodiment, in operation 507, the server 110 determines whether biometric signal-related data and/or user input-related data obtained during and/or after completion of content corresponding to pre-training satisfies a specified condition. You can check. If it is confirmed that the specified condition is not satisfied (507-No), the server 110 may determine pre-training according to the number of repetitions in operation 509. As described above, when the acquired biosignal-related data and/or user input-related data do not satisfy specified conditions, provision of content corresponding to pre-training may be repeated. The number of repetitions may be reset to 0, for example, when the electronic device 101 is turned on, the corresponding application is executed, or a specified condition is satisfied, but there is no limit to the reset condition. For example, the server 110 may determine the pre-training to be repeatedly provided this time according to the number of times the pre-training has been repeated. For example, the server 110 may provide data for pre-training that is the same as previously provided pre-training, depending on the number of repetitions. For example, the server 110 may provide data for pre-training that is different from the previously provided pre-training, depending on the number of repetitions. For example, the server 110 may provide data for pre-training of the same type as previously provided pre-training, but with the level of difficulty adjusted. For example, the server 110 may provide data for pre-training that is different in type from the pre-training previously provided. For example, the server 110 may change the type of pre-training when a specified condition is not satisfied even though the number of repetitions is relatively large. For example, the server 110 may, for example, lower the difficulty level of pre-training when a specified condition is not satisfied even though the number of repetitions is relatively large. On the other hand, the above-mentioned type of change and/or lowering of difficulty is merely illustrative, and in the case where the specified condition is not satisfied despite a relatively large number of repetitions, the type of pre-training is fixed, and/ Alternatively, those skilled in the art will understand that an embodiment of increasing the difficulty level of pre-training is also possible. According to the above, the user of the electronic device 101 may experience (or perform) content for pre-training whose type is changed and/or difficulty level is adjusted based on the number of repetitions. As described above, the server 110 may be set to provide data for pre-training that is the same as the pre-training previously provided. As above, as the content for pre-training with the type changed and/or difficulty adjusted is repeated, if the user's brain state does not reach the specified state for a relatively long period of time, different pre-training is performed. Content may be provided for.

According to one embodiment, if it is confirmed that the specified condition is satisfied (507 - Yes), the server 110 may provide data for training to the electronic device 101 in operation 511. When the state of the user's brain reaches a state suitable for performing training (e.g., a state in which the degree of improvement of a specific function is optimized when performing training), performance of pre-training is stopped and training is performed. There is a need. The server 110 may transmit data for training to the electronic device 101 based on this. In operation 513, the electronic device 101 may provide content corresponding to training based on data for training. The user can experience (or perform) content corresponding to training. In operation 515, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training to the server 110. In operation 517, the server 110 may store biometric signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training. In one example, the server 110 determines the state and/or specific function of the user's brain based on biosignal-related data and/or user input-related data obtained during and/or after completion of content corresponding to training. Evaluation results for (e.g., cognitive function) may be generated and/or provided.

FIG. 5B shows a flowchart explaining a method of operating an electronic device according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 of the embodiment of FIG. 5B will not be repeated.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training in operation 531. For example, the electronic device 101 may provide content corresponding to pre-training based on data corresponding to pre-training stored in the electronic device 101. In operation 533, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. In operation 535, the electronic device 101 may check whether biometric signal-related data and/or user input-related data acquired during and/or after completion of pre-training content satisfies a specified condition. If the specified condition is not satisfied (535-No), the electronic device 101 may determine pre-training according to the number of repetitions in operation 537. As described as the operation of the server 110 with reference to FIG. 5A, the electronic device 101 may determine pre-training according to the number of repetitions. For example, the electronic device 101 may provide content for pre-training that is the same as previously provided pre-training, depending on the number of repetitions. For example, the electronic device 101 may provide content for pre-training that is different from the pre-training previously provided, depending on the number of repetitions. For example, the electronic device 101 may provide content for pre-training of the same type as previously provided pre-training, but with the level of difficulty adjusted. For example, the electronic device 101 may provide content for pre-training that is of a different type from the pre-training previously provided. For example, the electronic device 101 may change the type of pre-training when a specified condition is not satisfied even though the number of repetitions is relatively large. For example, the electronic device 101 may, for example, lower the difficulty level of pre-training when a specified condition is not satisfied even though the number of repetitions is relatively large. On the other hand, the above-mentioned type of change and/or lowering of difficulty is merely illustrative, and in the case where the specified condition is not satisfied despite a relatively large number of repetitions, the type of pre-training is fixed, and/ Alternatively, those skilled in the art will understand that an embodiment of increasing the difficulty level of pre-training is also possible. According to the above, the user of the electronic device 101 may experience (or perform) content for pre-training whose type is changed and/or difficulty level is adjusted based on the number of repetitions. As described above, the electronic device 101 may be set to provide data for pre-training that is the same as the previously provided pre-training. As above, as the content for pre-training with the type changed and/or difficulty adjusted is repeated, if the user's brain state does not reach the specified state for a relatively long period of time, different pre-training is performed. Content may be provided for.

According to one embodiment, if it is confirmed that the specified condition is satisfied (535 - Yes), the electronic device 101, in operation 539, generates content corresponding to training based on data for training stored in the electronic device 101. can be provided. When the state of the user's brain reaches a state suitable for performing training (e.g., a state in which the degree of improvement of a specific function is optimized when performing training), performance of pre-training is stopped and training is performed. There is a need. The electronic device 101 may provide content corresponding to training based on data for training. The user can experience (or perform) content corresponding to training. In operation 541, the electronic device 101 may store biometric signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training. In one example, the electronic device 101 determines the state of the user's brain and/or specifies the state of the user's brain and/or specific data based on biosignal-related data and/or user input-related data obtained during and/or after completion of content corresponding to training. Evaluation results for functions (e.g., cognitive functions) may be generated and/or provided.

FIG. 6A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 6A will not be repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 601. In operation 603, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 605, the electronic device 101 may transmit bio-signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training data to the server 110. In operation 607, the server 110 may check whether biometric signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training satisfies a specified condition.

According to one embodiment, if it is determined that the specified condition is not satisfied (607-No), the server 110 may determine pre-training based on the user input in operation 609.

For example, pre-training may be an activity based on user interaction, and in this case, pre-training performance may be evaluated based on user input. The server 110 may obtain user input as user interaction for pre-training, and may perform evaluation of pre-training performance based on the obtained user input. Server 110 may determine pre-training to repeat at operation 609, for example, based on the evaluation results. As described above, repeated pre-training may be the same as previously performed pre-training, or may be at least in some way different (e.g., different in type, and/or different in difficulty, but with no limitations). None) You can.

For example, the electronic device 101 may provide a UI for pre-training as at least part of the operation of providing content corresponding to the pre-training in operation 603 (or in addition to operation 603). there is. The UI includes items that can determine whether to repeat pre-training, items that can select the degree of concentration for pre-training, items that can adjust the difficulty when repeating pre-training, or items that can change the type of pre-training. At least one of the possible items may be included. The user may provide at least one user input through the UI, and the electronic device 101 may transmit user input-related data to the server 110 based on at least one user input provided through the UI. You can. Server 110 may determine pre-training to repeat based on user input related data. Meanwhile, if the user input entered through the UI satisfies the condition of not requiring repetition, the server 110 may confirm that the specified condition is satisfied in operation 607. For example, the server 110 may determine whether to maintain pre-training to be repeated, whether to adjust the difficulty level, and/or whether to change the type, based on user input entered through a UI. For example, the user may provide user input indicating that pre-training is no longer required, based on the user's judgment, and the electronic device 101 and/or server 110 may respond to the user input. Based on this, it may be determined whether the specified condition is satisfied. Meanwhile, those skilled in the art will understand that there is no limit to the input timing and/or the number of user inputs used to determine the above-described pre-training.

For example, referring to FIG. 6C, after providing content corresponding to pre-training, the electronic device 101 receives a selection of whether to maintain the pre-training to be repeated, whether to adjust the difficulty level, and/or whether to change the type. A screen 650 that can be used can be provided. The screen 650 may include text asking whether to adjust the difficulty of pre-training, a button 651 for increasing difficulty, and/or a button 652 for decreasing difficulty. Meanwhile, those skilled in the art will understand that in other examples, a button for maintaining difficulty may also be displayed. If the button 651 for increasing difficulty is selected, the electronic device 101 and/or the server 110 may increase the difficulty of pre-training. If the button 652 for reducing difficulty is selected, the electronic device 101 and/or the server 110 may reduce the difficulty of pre-training. Meanwhile, the screen as shown in FIG. 6C is merely illustrative, and the electronic device 101 and/or the server 110 can select whether to maintain the pre-training to be repeated, whether to adjust the difficulty level, and/or whether to change the type. A UI can be provided.

According to one embodiment, if it is confirmed that the specified condition is satisfied (607 - Yes), the server 110 may provide data for training to the electronic device 101 in operation 611. In operation 613, the electronic device 101 may provide content corresponding to training based on data for training. The user can experience (or perform) content corresponding to training. In operation 615, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training to the server 110, and the server 110 ), in operation 617, may store biometric signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training. In one example, the server 110 determines the state and/or specific function of the user's brain based on biosignal-related data and/or user input-related data obtained during and/or after completion of content corresponding to training. Evaluation results for (e.g., cognitive function) may be generated and/or provided.

FIG. 6B shows a flowchart explaining a method of operating an electronic device according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 of the embodiment of FIG. 6B will not be repeated.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training in operation 631. For example, the electronic device 101 may provide content corresponding to pre-training based on data corresponding to pre-training stored in the electronic device 101. In operation 633, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. In operation 635, the electronic device 101 may check whether biometric signal-related data and/or user input-related data acquired during and/or after completion of pre-training content satisfies a specified condition. If the specified condition is not satisfied (635-No), the electronic device 101 may determine pre-training according to the number of repetitions in operation 637. As described as the operation of the server 110 with reference to FIG. 6A, the electronic device 101 may determine pre-training according to user input. For example, the electronic device 101 may provide content for pre-training that is the same as previously provided pre-training, according to user input. For example, the electronic device 101 may provide content for pre-training that is different from the pre-training previously provided, according to user input. For example, the electronic device 101 may provide content for pre-training of the same type as previously provided pre-training, but with the level of difficulty adjusted. For example, the electronic device 101 may provide content for pre-training that is of a different type from the pre-training previously provided. According to the above-mentioned, the user of the electronic device 101 may experience (or perform) content for pre-training whose type is changed and/or difficulty level is adjusted based on the user input. As such, the electronic device 101 may be set to provide data for pre-training that is the same as the previously provided pre-training. As above, as the content for pre-training with the type changed and/or difficulty adjusted is repeated, if the user's brain state does not reach the specified state for a relatively long period of time, different pre-training is performed. Content may be provided for.

According to one embodiment, if it is confirmed that the specified condition is satisfied (635 - Yes), the electronic device 101, in operation 639, generates content corresponding to training based on data for training stored in the electronic device 101. can be provided. The user can experience (or perform) content corresponding to training. In operation 641, the electronic device 101 may store biometric signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training. In one example, the electronic device 101 determines the state of the user's brain and/or specifies the user's brain state and/or specific Evaluation results for functions (e.g., cognitive functions) may be generated and/or provided.

FIG. 7A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 7A will not be repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 701. In operation 703, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 705, the electronic device 101 may transmit bio-signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training data to the server 110. In operation 707, the server 110 may check whether biometric signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training satisfies a specified condition.

According to one embodiment, if it is determined that the specified condition is not satisfied (707-No), the server 110 may determine pre-training based on bio-signal related data in operation 709.

For example, while content corresponding to pre-training is provided and/or after completion, the electronic device 101 may use at least the sensor 184, the external sensor device 195, and/or the external controller 196. A single biological signal can be sensed. The electronic device 101 may transmit at least one sensed bio-signal and/or a processing result of at least one sensed bio-signal to the server 110 as bio-signal-related data. The server 110 may check whether a specified condition is satisfied based on biosignal-related data. Data related to vital signs include, for example, raw data from EEG and/or PPG, signal strength in specific bands (e.g. alpha wave band, etc.) identified as a result of processing, calmness, concentration, heart rate, HRV, respiration. It can be implemented in various ways, such as related information, directly sensed data, and/or the results of data processing. The server 110 can check whether the biosignal-related data satisfies a specified condition, and if the specified condition is to determine whether the user's brain state has reached the specified state as described above, the type of parameter and/or number. The repeated pre-training may be the same as previously performed pre-training, or may be at least partially different (e.g., different in type, and/or different in difficulty, but is not limited to). . For example, when calmness is used to determine pre-training, the condition specified in operation 707 assumes that calmness is a condition of being equal to or greater than a threshold calmness. In this case, if the calmness does not reach the critical calmness (i.e., the specified condition is not satisfied), the server 110 adjusts the difficulty of the pre-training if the calmness decreases compared to the calmness confirmed in the existing order. If it is set relatively low compared to before, or if calmness increases compared to the calmness confirmed in the existing order, the difficulty of pre-training can be set relatively higher than before, but this is just a simple example and there is no limitation.

According to one embodiment, if it is confirmed that the specified condition is satisfied (707 - Yes), the server 110 may provide data for training to the electronic device 101 in operation 711. In operation 713, the electronic device 101 may provide content corresponding to training based on data for training. The user can experience (or perform) content corresponding to training. In operation 715, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training to the server 110, and the server 110 ), in operation 717, may store biometric signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training. In one example, the server 110 determines the state and/or specific function of the user's brain based on biosignal-related data and/or user input-related data obtained during and/or after completion of content corresponding to training. Evaluation results for (e.g., cognitive function) may be generated and/or provided.

Meanwhile, the server 110 determines the pre-training to be repeated based on at least some of the number of repetitions described in FIG. 5A, the user input described in FIG. 6A, or biosignal-related data described in FIG. 7A. Additional parameters may also be used to determine which pre-training to repeat.

FIG. 7B shows a flowchart explaining a method of operating an electronic device according to an embodiment.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training in operation 731. For example, the electronic device 101 may provide content corresponding to pre-training based on data corresponding to pre-training stored in the electronic device 101. In operation 733, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. In operation 735, the electronic device 101 may check whether biosignal-related data and/or user input-related data acquired during and/or after completion of pre-training content satisfies a specified condition. If the specified condition is not satisfied (735-No), the electronic device 101 may determine pre-training based on bio-signal related data in operation 737. As described as the operation of the server 110 with reference to FIG. 7A, the electronic device 101 may determine pre-training according to user input. For example, the electronic device 101 may provide content for pre-training that is the same as previously provided pre-training, according to user input. For example, the electronic device 101 may provide content for pre-training that is different from the pre-training previously provided, according to user input. For example, the electronic device 101 may provide content for pre-training of the same type as previously provided pre-training, but with the level of difficulty adjusted. For example, the electronic device 101 may provide content for pre-training that is of a different type from the pre-training previously provided. According to the above-mentioned, the user of the electronic device 101 may experience (or perform) content for pre-training whose type is changed and/or difficulty level is adjusted based on the user input. As such, the electronic device 101 may be set to provide data for pre-training that is the same as the previously provided pre-training. As above, as the content for pre-training with the type changed and/or difficulty adjusted is repeated, if the user's brain state does not reach the specified state for a relatively long period of time, different pre-training is performed. Content may be provided for.

According to one embodiment, if it is confirmed that the specified condition is satisfied (735 - Yes), the electronic device 101, in operation 739, generates content corresponding to training based on data for training stored in the electronic device 101. can be provided. The user can experience (or perform) content corresponding to training. In operation 741, the electronic device 101 may store biometric signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to training. In one example, the electronic device 101 determines the state of the user's brain and/or specifies the user's brain state and/or specific Evaluation results for functions (e.g., cognitive functions) may be generated and/or provided.

Meanwhile, the electronic device 101 performs pre-training to be repeated based on at least some of the number of repetitions described in FIG. 5B, the user input described in FIG. 6B, or biosignal-related data described in FIG. 7B. Additional parameters may also be used to determine which pre-training to repeat.

FIG. 8A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 8A will not be repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 801. In operation 803, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 805, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to pre-training data to the server 110. In operation 807, the server 110 may check whether biometric signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training satisfies a specified condition. If it is confirmed that the specified condition is not satisfied (807-No), the server 110 may transmit data for pre-training to the electronic device 101. As described above, transmission of data corresponding to pre-training and/or provision of content corresponding to pre-training may be repeated until specified conditions are satisfied, and data and/or content for pre-training may be repeated. may be the same as, or at least partially different from, data and/or content for pre-training to be provided previously. If it is confirmed that the specified condition is satisfied (807 - Yes), the server 110 may provide data for training to the electronic device 101. In operation 813, the electronic device 101 may provide content corresponding to training based on data for training. The user can experience (or perform) content corresponding to training. In operation 815, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training to the server 110.

According to one embodiment, the server 110 determines whether biometric signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to training satisfies the pre-training restoration condition. You can. If it is confirmed that the pre-training restoration condition is satisfied (817-Yes), the server 110 may stop providing data for training and provide data for pre-training again. If it is not confirmed that the pre-training restoration condition is satisfied (817-No), the server 110 may store bio-signal-related data acquired during and/or after completion of content corresponding to training in operation 819. there is. Meanwhile, even when it is confirmed that the pre-training restoration condition is satisfied (817-Yes), the server 110 may store bio-signal-related data acquired during and/or after completion of content corresponding to training. Those skilled in the art will understand. There is no limit to the condition for reinstating pre-training, for example, as long as it is a condition indicating that the evaluation results based on bio-signal related data and/or user input related data obtained during and/or after completion of the content corresponding to the training are insufficient. .

For example, if the evaluation result based on biometric signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to training does not meet the specified standard, the server 110 sets the pre-training reinstatement condition. It can be confirmed that this is satisfied. For example, if the evaluation result based on biometric signal-related data and/or user input-related data obtained during and/or after completion of the content can be quantified, based on the evaluation result being below a specified threshold value, the server ( 110) can confirm that the pre-training restoration condition is satisfied.

For example, if the improvement in the evaluation result based on biometric signal-related data and/or user input-related data acquired during and/or after completing content corresponding to the training is below the specified improvement standard, the server 110 It can be confirmed that the conditions for returning to pre-training have been satisfied. For example, if evaluation results based on data related to biosignals and/or user input obtained during and/or after completion of content can be quantified, the difference between the values before training and the values after training is the critical difference. If it is less than, and/or the increase rate of the value after training relative to the value before training is less than the critical increase rate, the server 110 may confirm that the pre-training restoration condition is satisfied. Meanwhile, those skilled in the art will understand that the above-described pre-training reinstatement conditions are merely exemplary, and that there is no limitation as long as the evaluation results after training are not good and/or the degree of improvement in the evaluation results after training is insufficient. will be. For example, the server 110 may determine the type and/or difficulty level of pre-training based on bio-signal-related data and/or user input-related data that satisfies the reinstatement conditions for pre-training, but there is no limit. does not exist.

For example, while determining an indicator corresponding to training, the server 110 may additionally determine an indicator corresponding to pre-training. For example, the server 110 may determine concentration as an indicator corresponding to training and calmness as an indicator corresponding to pre-training. As described above, in one example, the server 110 may stop providing training and provide pre-training based on the fact that the concentration level is below the critical concentration level corresponding to the restoration condition. Alternatively, the server 110 stops providing training and provides pre-training based on the fact that the difference between the concentration confirmed at the current time and the concentration confirmed at the past time is less than the critical concentration difference corresponding to the restoration condition. can do. Alternatively, the server 110 may check the calmness associated with pre-training even while training is being performed, and based on the calmness being below the threshold calmness corresponding to the restoration condition, stop providing training and perform pre-training. You can also provide it. In one example, the critical calmness associated with the restoration condition may be set to be the same as the critical calmness included in the specified condition in operation 807, but this is an example and may be different from the critical calmness in operation 807. As described above, in operation 817, it may be determined whether the indicator associated with training and/or the indicator associated with pre-training satisfies the reinstatement condition, and there is no limit to the type.

FIG. 8B shows a flowchart explaining a method of operating an electronic device according to an embodiment.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training in operation 831. For example, the electronic device 101 may provide content corresponding to pre-training based on data corresponding to pre-training stored in the electronic device 101. In operation 833, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. In operation 835, the electronic device 101 may check whether biometric signal-related data and/or user input-related data acquired during and/or after completion of pre-training content satisfies a specified condition. If the specified condition is not satisfied (835-No), the electronic device 101 may provide content corresponding to pre-training. If the specified condition is satisfied (835 - Yes), the electronic device 101 may provide content corresponding to training based on training data stored in the electronic device 101 in operation 837. The user can experience (or perform) content corresponding to training. In operation 839, the electronic device 101 may check whether biometric signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training satisfies the pre-training restoration condition. there is. If it is confirmed that the pre-training restoration condition is satisfied (839-Yes), the electronic device 101 may stop providing data for training and provide data for pre-training again. If it is not determined that the pre-training restoration condition is satisfied (839-No), the electronic device 101 stores bio-signal-related data acquired during and/or after completion of content corresponding to the training, in operation 841. You can. Meanwhile, even when it is confirmed that the pre-training restoration condition is satisfied (839-Yes), the electronic device 101 may store bio-signal-related data acquired during and/or after completion of content corresponding to the training. Those skilled in the art will understand.

FIG. 9A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 9A will not be repeated.

According to one embodiment, the server 110 may provide data for pre-training to the electronic device 101 in operation 901. In operation 903, the electronic device 101 may provide content corresponding to pre-training based on data for pre-training. In operation 905, the electronic device 101 may transmit bio-signal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training data to the server 110. In operation 907, the server 110 may check whether biosignal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to pre-training satisfies a specified first condition. . Here, the first condition is a condition for determining whether the user's brain state has reached a designated state, as described above, and a detailed description of the first condition is not repeated here. Although not shown, if it is confirmed that the specified first condition is not satisfied, the server 110 may transmit data for pre-training to the electronic device 101. Based on the first condition being satisfied, the server 110 may provide data for training to the electronic device 101 in operation 909. Meanwhile, operation 907 is simply exemplary, and the server 110 performs training for training in operation 909 based on reception of data corresponding to pre-training and/or reception of data indicating completion of pre-training. You can also provide data. In operation 913, the electronic device 101 may provide content corresponding to training based on data for training. The user can experience (or perform) content corresponding to training. In operation 915, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training to the server 110.

According to one embodiment, in operation 917, the server 110 determines whether biosignal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to training satisfies a specified second condition. You can check whether or not. Here, the designated second condition may be a condition for determining whether to repeat provision of training data. In one example, the server 110 may check whether biosignal-related data acquired during and/or after completion of content corresponding to training satisfies specified biosignal-related conditions. Here, the biosignal-related condition refers to a condition in which the degree of improvement of a specific function (for example, a cognitive function) (or an indicator associated with a specific function) is associated with a specified degree of improvement (or, a specified threshold index) depending on the performance of training. It can be set as an indicator indicating whether a related condition has been satisfied, and there is no limit to the type and/or number of parameters constituting the condition. For example, the server 101 may check whether an indicator for indicating a cognitive function identified based on a biosignal-related condition is greater than or equal to a designated threshold indicator, but this is an example and is not limited. For example, the server 101 may check whether the sensed user's HR is within a specified HR range, but this is an example and is not limited. In one example, the server 110 may check whether user input-related data obtained during and/or after completion of content corresponding to training satisfies specified user input-related conditions. Here, the user input-related condition is the degree of improvement of a specific function (e.g., cognitive function) (or an indicator associated with a specific function, such as concentration, but is not limited) depending on the performance of the training. It can be set as an indicator indicating whether a condition associated with (or a condition associated with a designated critical index) has been satisfied, and there is no limit to the type and/or number of parameters constituting the condition. For example, the server 101 may check the score associated with the mission required for training based on the user's input and check whether the score is greater than or equal to the threshold score, but this is an example and is not limited. For example, the server 101 may check the score by using the user's biometric data as a user input, and may check whether the score is greater than or equal to a threshold score, but this is an example and is not limited. For example, the server 101 may check the score based on whether and/or the time when the user's heart rate is within a specified range. Whether or not the second condition is satisfied may be set based on, for example, a score calculated based on the user's input, and/or a response to an inquiry as to whether the user is focused, but the type of user's input constituting the condition and/or there is no limit to the number. In one example, the server 110 may check whether the second condition is satisfied using both the biosignal-related condition and the user input-related condition.

According to one embodiment, if it is determined that the second condition is not satisfied (917-No), the server 110 may transmit data for training again. If it is confirmed that the second condition is satisfied (917-Yes), the server 110, in operation 919, collects data related to biometric signals and/or user input related to the training acquired during and/or after completion of the content corresponding to the training. Data may be stored, but this is an example, and the server 110 may store bio-signal-related data and/or user input acquired during and/or after completion of content corresponding to training, even if the second condition is not satisfied. You can also store related data. In one example, if the second condition is not satisfied, the server 110 may retransmit data for training that is the same as the training that was previously provided. In one example, if the second condition is not satisfied, the server 110 may retransmit data for training that is at least partially different from the training that was previously provided. For example, the server 110 may transmit data for training that has the same type as the previously provided training but whose difficulty has been adjusted (both increase or decrease in difficulty is possible). For example, the server 110 may transmit data for training having a different type from training that has already been provided.

In one example, server 110 may determine training that is different from previously provided training based on the number of repetitions. For example, the server 110 may adjust the difficulty level of training having the same type as the previously provided training, based on the number of repetitions. For example, the server 110 may determine a different type of training from previously provided training, and/or determine the level of difficulty of the different type of training, based on the number of repetitions. In one example, server 110 may determine training that is different from previously provided training based on user input. For example, the server 110 may adjust the level of difficulty of training having the same type as the previously provided training, based on user input. For example, the server 110 may determine training having a different type from previously provided training and/or determine the difficulty level of the different type of training, based on the user input. In one example, server 110 may determine training that is different from previously provided training based on the user's status. For example, the server 110 may adjust the difficulty level of training having the same type as the previously provided training, based on the user's status. For example, the server 110 may determine a different type of training from previously provided training, and/or determine the difficulty level of the different type of training, based on the user status. The server 110 may determine training that is different from the training that has already been provided, considering only the user status confirmed at the current time, or training that has been provided and You may decide on different training. For example, the server 110 may determine training that is different from training that has already been provided, based on the user status confirmed in the past and the degree of improvement in the user status confirmed based on the user status confirmed at the current time.

FIG. 9B shows a flowchart explaining a method of operating an electronic device according to an embodiment.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training in operation 931. For example, the electronic device 101 may provide content corresponding to pre-training based on data corresponding to pre-training stored in the electronic device 101. In operation 933, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. In operation 935, the electronic device 101 may confirm that biosignal-related data and/or user input-related data acquired during and/or after completion of pre-training content satisfies a specified first condition. Based on the satisfaction of the first condition, the electronic device 101 may provide content corresponding to training based on training data stored in the electronic device 101 in operation 937. Meanwhile, providing content corresponding to training according to the satisfaction of the first condition is an example, and the electronic device 101 according to one embodiment does not determine whether the first condition is satisfied, but provides content corresponding to the training for pre-training. Those skilled in the art will understand that after providing content, content for training may be provided without determining whether any specific conditions are satisfied. The user can experience (or perform) content corresponding to training.

According to one embodiment, in operation 939, the electronic device 101 determines whether biosignal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to training satisfies a specified second condition. You can check whether or not. As for the second condition, it was explained with reference to FIG. 9A, so the detailed description here will not be repeated. If the second condition is not satisfied (939-No), the electronic device 101 may provide content corresponding to training based on data for training. As described above, the training provided again when the second condition is not satisfied is training of the same type as the already provided training, training of the same type as the already provided training but with a different difficulty level, or training provided again. It may be a training of a different type from the training. Conditions for determining training that is at least partially different from the already provided training may be related to the number of repetitions of provision of content corresponding to the training, user input, and/or user status, but this is an example and is not limited. If the second condition is satisfied (939-Yes), the electronic device 101 may store bio-signal-related data acquired during and/or after completion of performing content corresponding to training in operation 941. Meanwhile, those skilled in the art will understand that even when the second condition is not satisfied (939-No), the electronic device 101 may store biometric signal-related data acquired during and/or after completion of content corresponding to training. will be.

FIG. 9C shows a flowchart explaining a method of operating an electronic device according to an embodiment.

According to one embodiment, the electronic device 101 may provide content corresponding to pre-training in operation 951. For example, the electronic device 101 may provide content corresponding to pre-training based on data corresponding to pre-training stored in the electronic device 101. In operation 953, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to pre-training. In operation 955, the electronic device 101 may determine the initial difficulty level of training based on biometric signal-related data and/or user input-related data obtained during and/or after completion of pre-training content. For example, as described with reference to FIGS. 2F and/or 2G, the initial difficulty may be determined based on bio-signal related data and/or user input related data obtained during and/or after completion of pre-training content. You can. For example, if the evaluation result is confirmed based on biosignal-related data and/or user input-related data obtained during and/or after completion of content corresponding to pre-training, the initial stage of training corresponding to the evaluation result Difficulty level can be selected. For example, the initial difficulty level of training may be selected based on a user input corresponding to a screen for difficulty adjustment as shown in FIG. 6C provided during and/or after completion of content corresponding to pre-training, as described above. The difficulty confirmation method is illustrative and is not limited. In operation 957, the electronic device 101 may check whether biosignal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to training satisfies a specified second condition. Since the second condition has been described with reference to FIG. 9A, the detailed description here will not be repeated. If the second condition is not satisfied (959-No), the electronic device 101 may adjust the difficulty level of the training in operation 961. In one example, the electronic device 101 determines that the difference between the evaluation result (e.g., concentration) for training confirmed at a past time point is less than or equal to a threshold difference between the evaluation result for training confirmed at the current time point. Based on this, the difficulty of training can be increased, but this is merely an example. In one example, the electronic device 101 determines that the difference between the evaluation result (e.g., concentration) for training confirmed at a past time point is greater than a threshold difference between the evaluation result for training confirmed at the current time point. Based on this, the difficulty of training can be reduced, but this is merely exemplary. In one example, the electronic device 101 determines the difficulty level of the training based on the evaluation result (e.g., concentration) for the training confirmed at the current time being less than or equal to a threshold evaluation result (e.g., critical concentration). can be reduced, but this is simply an example, and there is no limit to the method of adjusting the difficulty of training. After adjusting the level of difficulty, the electronic device 101 may provide content corresponding to training based on data for training. As described above, as the provision of training is repeated, the difficulty of the training may change from the initial difficulty. If the second condition is satisfied (959-Yes), the electronic device 101 may store bio-signal-related data acquired during and/or after completion of performing content corresponding to training in operation 963. Meanwhile, those skilled in the art will understand that even when the second condition is not satisfied (959-No), the electronic device 101 may store biometric signal-related data acquired during and/or after completion of content corresponding to training. will be. Meanwhile, in FIG. 9C, all operations are described as being performed by the electronic device 101, but this is an example and at least some of the operations of the electronic device 101 may be performed by the server 110. Those skilled in the art will understand.

FIG. 10A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 10A will not be repeated.

According to one embodiment, the server 110 may transmit the obtained first bio-signal related data to the server 110 in operation 1001. The server 110 may configure the first bundle based on the first biosignal-related data in operation 1003. Here, the bundle may consist of a combination of at least one pre-training and at least one training. In the embodiment of FIG. 10A, it has been explained that the server 110 configures a bundle based on the user's biometric signals. For example, depending on the results of analysis of the user's biosignals, the optimal type and/or difficulty of pre-training to reach a given state of the brain, and/or specific functions (e.g. cognitive functions) ) can determine the optimal type and/or difficulty of training to improve. When a plurality of pre-trainings are included in the bundle, the server 110 may also determine the arrangement order of the pre-trainings based on the user's biometric signals. If a plurality of trainings are included in the bundle, the server 110 may also determine the order of arrangement of the trainings based on the user's biosignals.

Meanwhile, in FIG. 10A, it has been explained that a bundle can be set based on data related to the user's biosignals, but this is an example and the server 110 can configure the bundle based on user input. In one example, the electronic device 101 may provide a UI that can configure a pre-training/training bundle based on data from the server 110 and/or stored data. The UI may provide a function for selecting at least one from at least one selectable pre-training, and/or a function for selecting at least one from at least one selectable training. The UI may provide the ability to adjust the selected at least one pre-training and/or the arrangement order of the selected at least one training. The electronic device 101 may transmit information related to the configuration of the bundle to the server 110 based on user input input through the UI. The server 110 may configure the bundle based on information associated with the configuration of the bundle. In various implementations, server 110 may manage bundles on a per-user basis. For example, server 110 stores a first bundle in association with a first user based on first information associated with the configuration of the bundle received from the first user, and stores the configuration of the bundle received from the second user. The second bundle may be stored in association with the second user based on the associated second information. The server 110 may receive information associated with a user account for accessing a service and confirm a bundle corresponding to the user account. For example, a first bundle may include pre-training of breathing exercises and training of cognitive enhancement games. For example, the second bundle may include pre-training of breathing exercises and training of sleep induction. Meanwhile, the configuration of pre-training/training in the above-described bundle is an example, and there is no limit to the configuration of pre-training/training included in the bundle. For example, the bundle includes pre-training of breathing training and training of meditation. It may be configured to include, and is not limited to, such as being configured to include pre-training of breathing training and training of enhanced breathing training.

According to one embodiment, the UI may include a recommended bundle for each user and a function key that can change at least one configuration of the recommended bundle. For example, a recommended bundle for each user may be set based on at least one biosignal-related data associated with the user. For example, a recommendation bundle for each user may be set based on basic information such as the user's age and gender, and there are no restrictions on how to configure the recommendation bundle for each user. The UI may include function keys to change (e.g., edit) the featured bundle. The function keys may include, for example, function keys for changing at least some of the pre-training and/or training in the bundle to a different type, function keys for changing the difficulty level of the pre-training and/or training, etc. no limits. Meanwhile, the above-mentioned function keys may be implemented as visual objects included in the UI, but this is an example, and the UI is configured to provide a related function in response to a specific user input, and the function key associated with the function is Those skilled in the art will understand that visual objects may not be displayed.

According to one embodiment, the server 110 may provide data for the first pre-training corresponding to the first bundle to the electronic device 101. For example, the first bundle may include at least one first pre-training and at least one first training. The server 110 may transmit at least one data for the first pre-training included in the first bundle to the electronic device 101. In the embodiment of FIG. 10A, it is shown that data for one pre-training of operation 1005 is provided, but this is an example, and if a plurality of pre-trainings are included in the bundle, the server 110 Those skilled in the art will understand that a plurality of data for pre-training included therein may be provided to the electronic device 101 in order. In operation 1007, the electronic device 101 may provide content corresponding to the first pre-training based on data for the first pre-training. The user can experience (or perform) content corresponding to the first pre-training. In operation 1009, the electronic device 101 transmits the second biosignal-related data and/or the first user input-related data obtained during and/or after completion of performing content corresponding to the first pre-training to the server 110. Can be sent. The server 110 may store second biosignal-related data and/or first user input-related data in operation 1011. The server 110 may provide data for the first training corresponding to the first bundle to the electronic device 101 in operation 1013. Meanwhile, in another example, the electronic device 101 may transmit information indicating completion of the first pre-training to the server 110, and the server 110 provides information for the first training based on this. Alternatively, if there is a plurality of pre-trainings in the bundle, data for pre-training in the order after the first pre-training may be transmitted. In the embodiment of FIG. 10A, it is shown as if data for one training of operation 1013 is provided, but this is an example, and when a plurality of trainings are included in the bundle, the server 110 provides the plurality of trainings included in the bundle. Those skilled in the art will understand that data for dog training may be provided to the electronic device 101 in order. In operation 1015, the electronic device 101 may provide content corresponding to the first training based on data for the first training. The user can experience (or perform) content corresponding to the first training. In operation 1017, the electronic device 101 transmits the third biosignal-related data and/or the second user input-related data obtained during and/or after completion of performing content corresponding to the first training to the server 110. You can. The server 110 may store third biosignal-related data and/or second user input-related data in operation 1019.

As described above, the pre-training included in the bundle is confirmed by the electronic device 101 and/or the server 110 based on the user's biosignal-related data, the user's input, and/or the user's account. Content corresponding to corresponding content and training may be provided.

FIG. 10B shows a flowchart explaining a method of operating an electronic device according to an embodiment.

According to one embodiment, the electronic device 101 may acquire first bio-signal-related data in operation 1031. The electronic device 101 may configure the first bundle based on the first bio-signal related data in operation 1033. Meanwhile, as described with reference to FIG. 10A, configuring a bundle based on biometric signal-related data is an example, and the bundle may be configured based on the user's input and/or the user's account. The electronic device 101 may provide content for the first pre-training corresponding to the first bundle in operation 1035. In the embodiment of FIG. 10B, it is shown that content for one pre-training of operation 1035 is provided, but this is an example, and when a plurality of pre-trainings are included in the bundle, the Janji device 101 Those skilled in the art will understand that a plurality of contents for pre-training included in the bundle may be provided to the electronic device 101 in order. The user may experience (or perform) content corresponding to the first pre-training. In operation 1037, the electronic device 101 may acquire second biosignal-related data and/or first user input-related data obtained during and/or after completion of performing content corresponding to the first pre-training. The electronic device 101 may provide content for the first training corresponding to the first bundle in operation 1039. In the embodiment of FIG. 10B, content for one training of operation 1039 is shown as being provided, but this is an example, and when a plurality of trainings are included in the bundle, the electronic device 101 Those skilled in the art will understand that a plurality of contents for training may be provided in order. The user can experience (or perform) content corresponding to the first training. In operation 1041, the electronic device 101 may acquire third biosignal-related data and/or second user input-related data acquired during and/or after completion of performing content corresponding to the first training. As described above, content and training corresponding to pre-training included in the bundle are verified by the electronic device 101 based on data related to the user's biosignals, the user's input, and/or the user's account. Content may be provided.

FIG. 11A shows a flowchart for explaining the operation of an electronic device and a server according to an embodiment.

According to one embodiment, the server 110 may transmit data for a first type of training to the electronic device 101 in operation 1101 to cause the user's state to reach an inwardly focused state. In operation 1103, the electronic device 101 may provide content corresponding to the first type training based on data for the first type training. Content corresponding to the first type of training may be, for example, content intended to induce the user to reach an inwardly focused state. The content corresponding to the first type training may, for example, be at least partially the same as the content corresponding to the pre-training described above, but is not limited thereto. Based on content corresponding to the first type training provided by the electronic device 101, the user may experience (or perform) the first type training. Content for the first type of training includes information for configuring at least one outputable image, information for configuring a voice, information for configuring tactile feedback (e.g., vibration), and/or olfactory feedback. It may include information for configuring, and those skilled in the art will understand that there is no limitation on the type of information. If the electronic device 101 is implemented as an HMD device (or a smart phone that can be coupled to an HMD device), content corresponding to the first type of training may be expressed as an image for the left eye and an image for the right eye, but this This is exemplary. Those skilled in the art will understand that, depending on the implementation form of the electronic device 101, content for type 1 training may be expressed as a series of single images. Content for type 1 training may be implemented to be played over time, for example, without requiring user intervention. Alternatively, content for the first type of training may require user intervention, for example, and may be implemented to progress over time based on user input, and there is no limitation. According to one embodiment, in operation 1105, the electronic device 101 transmits bio-signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to the first type of training to the server 110. It can be sent to . In operation 1107, the server 110 may store bio-signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to the first type of training. The server 110 determines the state of the user's brain and/or the user's introverted concentration based on biosignal-related data and/or user input-related data obtained after performing and/or completing content corresponding to the first type of training. You can check and/or save. Throughout the present disclosure, storing biometric signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to the first type of training refers to, for example, the user's data corresponding to the first type of training. Those skilled in the art will understand that it may be replaced (or expressed) by storing the brain state and/or the user's introverted concentration. Meanwhile, the server 110 may check whether the user's brain state and/or the user's introverted concentration has reached a designated state, which will be described later. Those skilled in the art will understand that depending on the implementation, operations 1105 and/or 1107 may be omitted.

According to one embodiment, the server 110 transmits data for the first type training and/or performs and/or completes content corresponding to the first type training from the electronic device 101. After storing signal-related data and/or user input-related data, data for second type training may be provided to the electronic device 101 in operation 1109. In operation 1111, the electronic device 101 may provide content corresponding to the second type training based on data for the second type training. Content corresponding to the second type of training may be, for example, content intended to cause the user's state to reach an outwardly focused state. The content corresponding to the second type training may, for example, be at least partially the same as the content corresponding to the above-described training, but is not limited thereto. Content corresponding to Type 2 training improves concentration and/or relieves stress, such as, for example, environmental change recognition Type 2 training, object tracking Type 2 training, and/or target object quick designation Type 2 training. It may include, but is not limited to, mini-games designed for this purpose. Based on content corresponding to the second type training provided by the electronic device 101, the user may experience (or perform) the second type training. Content for the second type training includes information for configuring at least one outputable image, information for configuring a voice, information for configuring tactile feedback (e.g., vibration), and/or olfactory feedback. It may include information for configuring, and those skilled in the art will understand that there is no limitation on the type of information. If the electronic device 101 is implemented as an HMD device (or a smart phone that can be coupled to an HMD device), content corresponding to the second type training may be expressed as an image for the left eye and an image for the right eye, but this This is exemplary. Those skilled in the art will understand that, depending on the implementation form of the electronic device 101, content for the second type training may be expressed as a series of single images. Content for type 2 training may be implemented to be played over time, for example, without requiring user intervention. Alternatively, content for the second type of training may require user intervention, for example, and may be implemented to progress over time based on user input, without limitation. As described above, when a user who has performed type 1 training subsequently performs type 2 training, a state change from an introverted focused state to an extroverted focused state may occur, thereby improving cognitive function. It can be. Cognitive abilities may include, but are not limited to, at least one of, for example, short-term memory, long-term memory, concentration, depth perception, agility, visual perception, spatial perception, working memory, momentary attention, sustained attention, reading ability, and selective attention. There is no, and a second type of training may be provided to improve abilities other than cognitive abilities.

According to one embodiment, in operation 1113, the electronic device 101 transmits bio-signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to the second type training to the server 110. It can be sent to . For example, the electronic device 101 may acquire data related to the user's biosignals while performing content corresponding to the second type of training. The types of biosignal-related data that the electronic device 101 acquires while performing and/or after completion of content corresponding to the second type training include those obtained while the electronic device 101 is performing content corresponding to the first type training and/or It may be the same as the type of biosignal-related data acquired after completion, or may be at least partially different. The electronic device 101 acquires data related to the user's biological signals through the built-in sensor 184, and/or data related to the user's biological signals through the external sensor device 195 and/or the external controller 196. can be obtained.

For example, when content corresponding to the second type of training is provided, the electronic device 101 may collect data associated with the user's brain waves, data associated with the user's breathing, and data associated with the user's heart rate while providing content for meditation. Various types of data can be obtained, such as data and/or data associated with the user's HRV, and there is no limit to the type of data obtained. As described above, at least some of the various data types may be different from at least some of the various data streams corresponding to the first type of training, or may be entirely the same. For example, the electronic device 101 may additionally (or alternatively) acquire the various types of data described above after content corresponding to the second type of training is provided. For example, when content corresponding to the second type training is provided, the electronic device 101 may additionally provide data associated with the user input during and/or after providing the content for the second type training ( or, alternatively) may be obtained. The electronic device 101 may transmit raw data of the user input and/or a processing result of the raw data as data associated with the user input to the server 110. Depending on the implementation, data related to user input may also be used alone or together with data related to the user's biosignals to confirm (or express) the state of the brain. In operation 1113, the type of data transmitted to the server 110 may be the same as, or at least partially different from, the type of data transmitted to the server 110 in operation 1105.

According to one embodiment, in operation 1115, the server 110 may store biometric signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to the second type training. The server 110 determines the state of the user's brain and/or the user's concentration based on biosignal-related data and/or user input-related data obtained after performing and/or completing content corresponding to the second type training. and/or may be stored. Throughout the present disclosure, storing biometric signal-related data and/or user input-related data obtained after performing and/or completing content corresponding to the second type training is, for example, used to store the user's input corresponding to the second type training. Those skilled in the art will understand that it may be replaced (or expressed) by storing the brain state and/or the user's concentration. The type (or expression form) of the brain state and/or user's concentration corresponding to the second type training is the type (or expression form) of the brain state and/or user's concentration corresponding to the first type training. It may be implemented the same as, or may be implemented differently. Meanwhile, the server 110 may check whether the state of the user's brain and/or the user's concentration has reached a specified state, which will be described later. Those skilled in the art will understand that depending on the implementation, operations 1113 and/or 1115 may be omitted.

As described above, the electronic device 101 may primarily provide content corresponding to the first type of training, based on data provided from the server 110. Thereafter, based on the data provided from the server 110, the electronic device 101 may secondarily provide content corresponding to the second type training. Accordingly, the user may primarily experience (or perform) content corresponding to the first type of training, and then secondarily experience (or perform) content corresponding to the second type of training. As described above, after the user experiences (or performs) content corresponding to the first type of training, as the user experiences (or performs) content corresponding to the second type of training, the user's state becomes introverted. The state can be changed from an inwardly focused state to an outwardly focused state, and cognitive function can be improved through training in changing the state.

FIG. 11B shows a flowchart for explaining a method of operating an electronic device and a server according to various embodiments. Among the embodiments of FIG. 11B, detailed descriptions of operations described with reference to FIG. 11A are not repeated here.

According to one embodiment, the server 110 may provide data for first type training to the electronic device 101 in operation 1101. In operation 1103, the electronic device 101 may provide content corresponding to first type training based on first type training data. Based on the completion of provision of content corresponding to the first type of training, the electronic device 101 may notify the server 110 that provision of content corresponding to the first type training is completed in operation 1106. In operation 1108, the server 110 may confirm that provision of the first type of training by the electronic device 101 is completed. The server 110 may provide data for the second type training to the electronic device 101 in operation 1109, based on confirmation that the provision of the first type training by the electronic device 110 is completed. . In contrast to the embodiment of FIG. 11A, in the embodiment of FIG. 11B, the electronic device 101, in lieu of bio-signal related data and/or user input corresponding to the first type training, corresponds to the first type training. Completion of provision of content may be notified to the server 110. The server 110 may transmit data for the second type training to the electronic device 101 based on the completion of provision of content corresponding to the first type training by the electronic device 101. Meanwhile, the embodiment of FIG. 11B is also an example, and after providing the first type training data, the server 110 performs a preset time (for example, the time required to play content corresponding to the first type training). ) may be implemented to provide data for second type training after lapse. In this case, the server 110 may provide data for the second type training without receiving a communication signal from the electronic device 101. As described above, the server 110 may provide data for first type training and/or provide data for second type training based on various triggers. Alternatively, the server 110 may provide the first type training and the second type training as one bundle (e.g., a designated bundle and/or a customized bundle), which will be described later. .

FIG. 11C shows a flowchart explaining a method of operating an electronic device according to an embodiment. In contrast to the embodiments of FIGS. 11A and 11B in which the electronic device 101 and the server 110 cooperate to provide content corresponding to the first type training and content corresponding to the second type training, FIG. 11C In the embodiment, the electronic device 101 alone may provide content corresponding to the first type training and content corresponding to the second type training.

According to one embodiment, the electronic device 101 may provide content corresponding to the first type of training in operation 1121. For example, the electronic device 101 may previously store data for expressing content corresponding to the first type of training. For example, an application for improving a specific ability (eg, cognitive ability) may include data for expressing content corresponding to the first type of training. Accordingly, the electronic device 101 may provide content corresponding to the first type of training without relying on data from the server 110 after installing the application. In operation 1123, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the first type of training. 1123 The acquisition of bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the first type of training of the movement has been described with reference to FIG. 11A, so detailed description herein is not repeated.

According to one embodiment, the electronic device 101 may provide content corresponding to the second type training based on data for the second type training in operation 1125. For example, the electronic device 101 may previously store data for expressing content corresponding to the second type of training. For example, an application for improving a specific ability (eg, cognitive ability) may include data for expressing content corresponding to type 2 training. Accordingly, the electronic device 101 may provide content corresponding to the second type training without depending on data from the server 110 after installation of the corresponding application. In operation 1127, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the first type of training. 1127 The acquisition of bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the second type training of the movement has been described with reference to FIG. 11A, so detailed description herein is not repeated.

Meanwhile, depending on the implementation, at least some of the operations (operations 1121, 1123, 1125, and 1127) that were described as being performed independently by the electronic device 101 may be implemented to be performed by the server 110. Those skilled in the art will understand that there is. Alternatively, depending on the implementation, at least one operation additional to the operations described as being performed solely by the electronic device 101 (operations 1121, 1123, 1125, and 1127) is performed by the electronic device 101 and the electronic device 101. It may also be performed based on the connection of the server 110. For example, in operation 1123, while performing content corresponding to the first type of training and/or after user input-related data is obtained, the electronic device 101 performs content corresponding to the first type training with the server 110. An operation of transmitting data related to user input and/or user input may additionally be performed. For example, in operation 1127, while performing content corresponding to the second type training and/or after user input-related data is obtained, the electronic device 101 performs content corresponding to the second type training with the server 110. An operation of transmitting data related to user input and/or user input may additionally be performed.

As described above, the electronic device 101 may provide content corresponding to the first type training and/or content corresponding to the second type training without depending on data from the server 110.

Meanwhile, in the embodiment of FIG. 11A, it is explained that both data for the first type training and data for the second type training are provided by the server 110, and in the embodiment of FIG. 11B, the first type training Although it has been described that both data for training and data for type 2 training are stored in the electronic device 101, this is an example. For example, an implementation in which some of the data for at least one first type training and at least one data for second type training are provided by the server 110, and the remaining part is provided by the electronic device 101. Those skilled in the art will also understand that this is possible.

Meanwhile, the content described in connection with FIG. 3A can be used as content corresponding to the first type training, and the content described in connection with FIGS. 3B to 3D can be used as content corresponding to the second type training. Those skilled in the art will understand. Since the description of FIGS. 3A to 3D has been described above, the detailed description herein will not be repeated.

In addition, the repetition of pre-training when the specified condition is not satisfied and/or the determination of pre-training upon repetition, as described in FIGS. 4A, 4B, 5A, 5B, 6A, and/or 6B, is a first type Those skilled in the art will understand that it may be replaced by training. For example, the electronic device 101 and/or the server 110 determines whether biometric signal-related data acquired during and/or after completion of content corresponding to the first type of training satisfies specified biometric signal-related conditions. You can check. Here, the bio-signal-related condition may be set as an indicator indicating, for example, whether the user's state is in an inwardly focused state, and there is no limit to the type and/or number of parameters constituting the condition. In one example, the server 110 may check whether user input-related data obtained during and/or after completion of performing content corresponding to the first type of training satisfies specified user input-related conditions. Here, the user input-related condition may be set as an indicator indicating, for example, whether the user's state is in an inwardly focused state, a score calculated based on the user's input, and/or whether the user is focused. It may be set based on a response to an inquiry, but there is no limit to the type and/or number of user inputs constituting the condition. In one example, the server 110 may check whether both biometric signal-related conditions and user input-related conditions are satisfied. If it is confirmed that the specified condition is not satisfied, the electronic device 101 and/or the server 110 may repeatedly provide data for the first type training. If the user's state does not reach an inwardly focused state, type 1 training needs to be performed rather than type 2 training. This may be based on the advantage of improving cognitive function when the user's state reaches a completely inwardly focused state and then switches to an outwardly focused state, but there is no limitation. The electronic device 101 and/or the server 110 may repeatedly provide content for the first type training based on this. Accordingly, the user can experience (or perform) the first type of training until the user's state reaches an inwardly focused state. For example, when the first type training is repeated, the same first type training may be provided. For example, when the first type of training is repeated, the first type of training of the same type but with the level of difficulty adjusted may be provided. For example, when the first type training is repeated, another type of first type training may be provided. If it is confirmed that the specified condition is satisfied, the electronic device 101 and/or the server 110 may provide content corresponding to the second type training. When the user's state reaches an inwardly focused state, the user's state needs to change as the first type training is stopped and the second type training is performed. The electronic device 101 and/or the server 110 may provide content corresponding to the second type training based on this. The user can experience (or perform) content corresponding to the second type of training. The electronic device 101 and/or the server 110 may store biometric signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the second type training. In one example, the electronic device 101 and/or the server 110 based on biometric signal-related data and/or user input-related data obtained during and/or after completion of content corresponding to the second type training. , evaluation results for the user's state (eg, brain state and/or concentration) and/or specific function (eg, cognitive function) may be generated and/or provided.

FIG. 12A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 12A will not be repeated.

According to one embodiment, the server 110 may provide data for first type training to the electronic device 101 in operation 1201. In operation 1203, the electronic device 101 may provide content corresponding to the first type training based on data for the first type training. In operation 1205, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to the first type training data to the server 110. . In operation 1207, the server 110 may check whether biosignal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to the first type of training satisfies a specified condition. If it is confirmed that the specified condition is not satisfied (1207-No), the server 110 may transmit data for the first type training to the electronic device 101. As described above, transmission of data corresponding to the first type training and/or provision of content corresponding to the first type training may be repeated until the specified condition is satisfied, and data for the first type training and /or the content may be the same as, or at least partially different from, the data and/or content for the first type training to be provided previously. If it is confirmed that the specified condition is satisfied (1207 - Yes), the server 110 may provide data for the second type training to the electronic device 101. In operation 1213, the electronic device 101 may provide content corresponding to the second type training based on data for the second type training. The user can experience (or perform) content corresponding to the second type of training. In operation 1215, the electronic device 101 may transmit to the server 110 bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the second type training.

According to one embodiment, the server 110 determines that biosignal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the second type training satisfies the first type training conversion condition. You can check whether it is working or not. If it is confirmed that the first type training conversion condition is satisfied (1217-Yes), the server 110 may stop providing data for the second type training and provide data for the first type training again. there is. If it is not confirmed that the first type training conversion condition is satisfied (1217-No), the server 110, in operation 1219, performs a biosignal related biosignal acquired during and/or after completing content corresponding to the second type training. Data can be saved. Meanwhile, even when it is confirmed that the first type training conversion condition is satisfied (1217-Yes), the server 110 provides bio-signal-related data acquired during and/or after completion of content corresponding to the second type training. Those skilled in the art will understand that it can be stored. The first type training transition condition is, for example, a condition for determining whether the user's state has reached an outwardly focused state, and there is no limit to the type and/or number of parameters for configuring the condition. Those skilled in the art will understand that there is no such thing. As described above, not only can switching from an introverted focused state to an extraverted focused state improve cognitive function, but also switching from an extraverted focused state to an introverted focused state can also improve cognitive function. It may be possible. Accordingly, if biosignal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to the second type training satisfies the first type training conversion conditions, the first type training is resumed. As it is provided, a transition from an inwardly focused state to an outwardly focused state may occur.

For example, as described above, when it is confirmed that the user's state has reached an outwardly focused state, the server 110 may confirm that the first type training transition condition is satisfied. For example, if the evaluation result is quantifiable based on data related to biometric signals and/or user input obtained during and/or after completion of the content, it is based on the fact that the evaluation result is above a threshold value for determining the degree of concentration. Thus, the server 110 can confirm that the first type training conversion condition is satisfied.

Meanwhile, in another example, even if the degree of cognitive function improvement associated with the second type training is insufficient, the first type training may be set to be performed again. For example, if the degree of cognitive function improvement is insufficient, switching from an introvertedly focused state to an extrovertedly focused state may help improve cognitive function associated with type 2 training. The server 110 according to one embodiment may be set to provide data for the first type training again when the degree of cognitive function improvement associated with the second type training is insufficient. For example, if the improvement in the evaluation result based on biosignal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the second type training is below the specified improvement standard, the server ( 110) may again provide data for type 1 training. For example, when evaluation results based on biosignal-related data and/or user input-related data acquired during and/or after completion of content can be quantified, the value after type 2 training compared to the value before type 2 training If the difference between the numerical values is less than the critical difference and/or the increase rate of the numerical value after the second type training with respect to the numerical value before the second type training is less than the critical increase rate, the server 110 sends the data for the first type training again. You can also provide it.

FIG. 12B shows a flowchart explaining a method of operating an electronic device according to an embodiment.

According to one embodiment, the electronic device 101 may provide content corresponding to the first type of training in operation 1231. For example, the electronic device 101 may provide content corresponding to the first type of training based on data corresponding to the first type of training stored in the electronic device 101. In operation 1233, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the first type of training. In operation 1235, the electronic device 101 may check whether biometric signal-related data and/or user input-related data acquired while performing and/or completing content for the first type training satisfies a specified condition. If the specified condition is not satisfied (1235-No), the electronic device 101 may provide content corresponding to the first type of training. If the specified condition is satisfied (1235-Yes), the electronic device 101 provides content corresponding to the second type training based on the data for the second type training stored in the electronic device 101 in operation 1237. can do. The user can experience (or perform) content corresponding to the second type of training. In operation 1239, the electronic device 101 determines whether biosignal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to the second type training satisfies the first type training conversion condition. You can check whether or not. When it is confirmed that the first type training conversion condition is satisfied (1239-Yes), the electronic device 101 stops providing data for the second type training and provides data for the first type training again. You can. Accordingly, a change in the user state from an outwardly focused state to an inwardly focused state may occur. If it is not confirmed that the first type training conversion condition is satisfied (1239-No), the electronic device 101, in operation 1241, collects a biometric signal acquired during and/or after completing content corresponding to the second type training. Related data can be stored. Meanwhile, even when it is confirmed that the first type training conversion condition is satisfied (1239-Yes), the electronic device 101 collects data related to biometric signals acquired during and/or after completing content corresponding to the second type training. Those skilled in the art will understand that can be stored.

FIG. 13A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 13A will not be repeated.

According to one embodiment, the server 110 may provide data for first type training to the electronic device 101 in operation 1301. In operation 1303, the electronic device 101 may provide content corresponding to the first type training based on data for the first type training. In operation 1305, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to the first type training data to the server 110. . In operation 1307, the server 110 may check whether biosignal-related data and/or user input-related data obtained during and/or after completion of performing content corresponding to the first type of training satisfies a specified first condition. there is. Here, the first condition is a condition for determining whether the user's state has reached an inwardly focused state, as described above, and a detailed description of the first condition will not be repeated here. Although not shown, if it is confirmed that the specified first condition is not satisfied, the server 110 may transmit data for the first type training to the electronic device 101. Based on the first condition being satisfied, the server 110 may provide data for the second type training to the electronic device 101 in operation 1309. Meanwhile, operation 1307 is simply exemplary, and the server 110 performs the first operation in operation 1309 based on reception of data corresponding to the first type training and/or reception of data indicating completion of the first type training. It can also provide data for type 2 training. In operation 1313, the electronic device 101 may provide content corresponding to the second type training based on data for the second type training. The user can experience (or perform) content corresponding to the second type of training. In operation 1315, the electronic device 101 may transmit bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to the second type training to the server 110.

According to one embodiment, the server 110, in operation 1317, determines that bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the second type training is set to a specified second condition. You can check whether it satisfies. Here, the designated second condition may be a condition for determining whether to repeat provision of the second type training data. In one example, the server 110 may check whether biosignal-related data acquired during and/or after completing content corresponding to the second type training satisfies specified biosignal-related conditions. Here, the biosignal-related condition may be a condition for determining whether the user's state has reached an outwardly focused state (e.g., a targeted state) according to the performance of the second type training, and constitutes the condition. There is no limit to the type and/or number of parameters. For example, the server 101 may check whether the sensed user's HR is within a specified HR range, but this is an example and is not limited. In one example, the server 110 may check whether user input-related data obtained during and/or after completion of performing content corresponding to the second type training satisfies specified user input-related conditions. Here, the user input-related condition may be set as an indicator indicating whether the user's state has reached an outwardly focused state (e.g., a targeted state) according to the performance of the second type training, and configures the condition. There is no limit to the type and/or number of parameters. For example, the server 101 may check the score associated with the mission required in the second type training based on the user's input and check whether the score is greater than or equal to the threshold score, but this is limited to illustrative purposes. There is no For example, the server 101 may check the score by using the user's biometric data as a user input, and may check whether the score is greater than or equal to a threshold score, but this is an example and is not limited. For example, the server 101 may check the score based on whether and/or the time when the user's heart rate is within a specified range. Whether or not the second condition is satisfied may be set based on, for example, a score calculated based on the user's input, and/or a response to an inquiry as to whether the user is focused, but the type of user's input constituting the condition and/or there is no limit to the number. In one example, the server 110 may check whether the second condition is satisfied using both the biosignal-related condition and the user input-related condition.

According to one embodiment, when it is confirmed that the second condition is not satisfied (1317-No), the server 110 may retransmit data for second type training. According to the above, the user may experience (or perform) the second type of training until the user's state reaches an outwardly focused state. If it is confirmed that the second condition is satisfied (1317-Yes), the server 110, in operation 1319, collects data related to biometric signals acquired during and/or after completion of content corresponding to the second type training and/or Data related to user input may be stored, but this is an example. Even if the second condition is not satisfied, the server 110 may store information related to biometric signals acquired during and/or after completing content corresponding to the second type training. It may also store data and/or data related to user input. In one example, if the second condition is not satisfied, the server 110 may retransmit data for the second type training that is the same as the previously provided second type training. In one example, if the second condition is not satisfied, the server 110 may retransmit data for second type training that is at least partially different from the previously provided second type training. For example, the server 110 may transmit data for second type training that has the same type as the previously provided second type training but has the difficulty adjusted (both increase or decrease in difficulty is possible). For example, the server 110 may transmit data for second type training that has a different type from the previously provided second type training.

In one example, the server 110 may determine a second type of training that is different from the previously provided second type training based on the number of repetitions. For example, the server 110 may adjust the difficulty level of the second type training having the same type as the already provided second type training based on the number of repetitions. For example, the server 110 determines the second type training having a different type from the previously provided second type training, and/or determines the difficulty of the different type of second type training, based on the number of repetitions. You can. In one example, the server 110 may determine a second type of training that is different from the previously provided second type training, based on user input. For example, the server 110 may adjust the difficulty of second type training having the same type as the already provided second type training based on user input. For example, based on the user input, the server 110 determines second type training having a different type from the previously provided second type training, and/or determines the difficulty of the different type of second type training. You can. In one example, the server 110 may determine a second type of training that is different from the previously provided second type training, based on the user status. For example, the server 110 may adjust the difficulty level of the second type training having the same type as the previously provided second type training based on the user status. For example, based on the user status, the server 110 determines second type training having a different type from the previously provided second type training, and/or determines the difficulty of the different type of second type training. You can. The server 110 may determine a second type training that is different from the previously provided second type training by considering only the user state confirmed at the current time, or considering the previously confirmed user state and the user state confirmed at the current time. Thus, a second type of training that is different from the already provided second type of training may be determined. For example, the server 110 provides second type training that is different from the previously provided second type training based on the previously confirmed user state and the degree of improvement in the user state confirmed based on the currently confirmed user state. You can decide. According to the above, the user's state can be more effectively brought to an outwardly focused state.

Meanwhile, although not shown, based on the second condition based on the second type training being satisfied, as described in FIGS. 12A and 12B, the server 110 sends data for the first training back to the electronic device 101. It may also be provided as . Accordingly, after the user's state reaches the outwardly focused state, a transition from the outwardly focused state to the inwardly focused state may occur.

FIG. 13B shows a flowchart explaining a method of operating an electronic device according to an embodiment.

According to one embodiment, the electronic device 101 may provide content corresponding to the first type of training in operation 1331. For example, the electronic device 101 may provide content corresponding to the first type of training based on data corresponding to the first type of training stored in the electronic device 101. In operation 1333, the electronic device 101 may acquire bio-signal-related data and/or user input-related data acquired during and/or after completion of content corresponding to the first type of training. In operation 1335, the electronic device 101 may confirm that biosignal-related data and/or user input-related data acquired during and/or after completing content for the first type of training satisfies a specified first condition. Based on satisfaction of the first condition, the electronic device 101 may provide content corresponding to the second type training based on data for the second type training stored in the electronic device 101 in operation 1337. . Meanwhile, it is an example that content corresponding to the second type of training is provided according to the satisfaction of the first condition, and the electronic device 101 according to one embodiment does not determine whether the first condition is satisfied and provides the first type of training. Those skilled in the art will understand that after providing content for type training, content for second type training may be provided without determining whether any particular conditions are satisfied. The user can experience (or perform) content corresponding to the second type of training.

According to one embodiment, in operation 1339, the electronic device 101 sets a second condition in which bio-signal-related data and/or user input-related data acquired during and/or after completion of performing content corresponding to the second type training is specified. You can check whether it satisfies. As for the second condition, it was explained with reference to FIG. 13A, so the detailed description here will not be repeated. If the second condition is not satisfied (1339-No), the electronic device 101 may provide content corresponding to the second type training based on data for the second type training. As described above, the second type training provided again when the second condition is not satisfied is either second type training having the same type as the already provided second type training, or the same type as the already provided second type training. It may be a second type training that has a different level of difficulty, or it may be a second type training that has a different type from the already provided second type training. The conditions for determining the second type training that is at least partially different from the already provided second type training may be related to the number of repetitions of provision of content corresponding to the second type training, user input, and/or user status, but this is illustrative. , there is no limit. If the second condition is satisfied (1339-Yes), the electronic device 101 may store bio-signal-related data acquired during and/or after completing content corresponding to the second type training in operation 1341. Meanwhile, even when the second condition is not satisfied (1339-No), the electronic device 101 may store bio-signal-related data acquired during and/or after completion of content corresponding to the second type training. Those skilled in the art will understand.

FIG. 14A shows a flowchart for explaining a method of operating an electronic device and a server according to an embodiment. Detailed descriptions of previously described operations among the operations performed by the electronic device 101 and/or the server 110 of the embodiment of FIG. 14A will not be repeated.

According to one embodiment, the server 110 may transmit the obtained first bio-signal related data to the server 110 in operation 1401. The server 110 may configure the first bundle based on the first biosignal-related data in operation 1403. Here, the bundle may consist of a combination of at least one first type training and at least one second type training. In the embodiment of FIG. 14A, it has been explained that the server 110 configures a bundle based on the user's biometric signals. For example, depending on the results of analysis of the user's biosignals, the optimal type and/or difficulty level of the first type training that can reach the introverted-focused state of the user, and/or the extroverted-focused state of the user. It is possible to determine the optimal type and/or difficulty level of Type 2 training to reach a focused state. If the bundle includes a plurality of each of the first type training and the second type training, the server 110 also determines the arrangement order of each of the first type training and/or the second type training based on the user's biosignals. It may be possible.

Meanwhile, in FIG. 14A, it is explained that the bundle can be set based on data related to the user's biosignals, but this is an example, and the server 110 can configure the bundle based on the user input, and related information Detailed descriptions and/or alternative examples have been described with reference to FIG. 10A and are not repeated here.

According to one embodiment, the server 110 may provide data for first type training corresponding to the first bundle to the electronic device 101. For example, a first bundle may include at least one first type training and at least one second type training. The server 110 may transmit at least one data for first type training included in the first bundle to the electronic device 101 . In the embodiment of FIG. 14A, it is shown that data for one first type training of operation 1405 is provided, but this is an example, and if a plurality of first type trainings are included in the bundle, the server 110 Those skilled in the art will understand that a plurality of data for first type training included in the bundle may be provided to the electronic device 101 in order. In operation 1407, the electronic device 101 may provide content corresponding to the first type training based on data for the first type training. The user can experience (or perform) content corresponding to the first type of training. In operation 1409, the electronic device 101 transmits, to the server 110, second biosignal-related data and/or first user input-related data obtained during and/or after completion of performing content corresponding to the first type of training. can do. The server 110 may store second biosignal-related data and/or first user input-related data in operation 1411. The server 110 may provide data for second type training corresponding to the first bundle to the electronic device 101 in operation 1413. Meanwhile, in another example, the electronic device 101 may transmit information indicating completion of the first type training to the server 110, and the server 110 provides information for the second type training based on this. can do. In operation 1415, the electronic device 101 may provide content corresponding to the second type training based on data for the second type training. The user can experience (or perform) content corresponding to the second type of training. Accordingly, a transition from an inwardly focused state to an outwardly focused state may occur. In operation 1417, the electronic device 101 transmits third biosignal-related data and/or second user input-related data obtained during and/or after completion of performing content corresponding to the second type training to the server 110. can do. The server 110 may store third biosignal-related data and/or second user input-related data in operation 1419.

As described above, the first type of training included in the bundle is confirmed by the electronic device 101 and/or the server 110 based on the user's biosignal-related data, the user's input, and/or the user's account. Content corresponding to and content corresponding to the second type training may be provided.

FIG. 14B shows a flowchart explaining a method of operating an electronic device according to an embodiment.

According to one embodiment, the electronic device 101 may acquire first bio-signal related data in operation 1431. In operation 1333, the electronic device 101 may configure the first bundle based on the first biosignal-related data. Meanwhile, as described with reference to FIG. 14A, configuring a bundle based on biometric signal-related data is an example, and the bundle may be configured based on the user's input and/or the user's account. In operation 1435, the electronic device 101 may provide content for first type training corresponding to the first bundle. The user can experience (or perform) content corresponding to the first type of training. In operation 1437, the electronic device 101 may acquire second biosignal-related data and/or first user input-related data obtained during and/or after completion of performing content corresponding to the first type of training. The electronic device 101 may provide content for second type training corresponding to the first bundle in operation 1439. The user can experience (or perform) content corresponding to the second type of training. In operation 1441, the electronic device 101 may acquire third biosignal-related data and/or second user input-related data acquired during and/or after completion of content corresponding to the second type of training. As described above, content corresponding to the first type of training and the second type included in the bundle are confirmed by the electronic device 101 based on data related to the user's biosignals, the user's input, and/or the user's account. Content corresponding to type training may be provided.

Devices and methods according to embodiments of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. Computer-readable media may include program instructions, data files, data structures, etc., singly or in combination.

Program instructions recorded on a computer-readable medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the computer software field. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes magneto-optical media and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

Although embodiments of the present invention have been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and various modifications may be made without departing from the technical spirit of the present invention. . Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but are for illustrative purposes, and the scope of the technical idea of the present invention is not limited by these embodiments. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. The scope of protection of the present invention should be interpreted in accordance with the claims below, and all technical ideas within the equivalent scope should be construed as being included in the scope of rights of the present invention.

101: Electronic devices
110: server
161, 181: processor 163, 183: storage device
184: sensor 165, 185: input device
167, 187: Bus
188: display 189: output device
190: communication network
195: External sensor device 196: External controller

Claims (24)

A storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by at least one processor, causes a server including the at least one processor to:
Receive, from the electronic device, information indicating that user input has been obtained to result in the provision of training for improvement of cognitive functions,
Based on the confirmation that the user input is obtained based on the information, first data for expressing first content corresponding to the first pre-training is transmitted to the electronic device, wherein the first pre-training - the training is intended to cause the user's state to reach an inwardly focused state and is associated with activation of at least one DMN of the user's brain, wherein the first data causes the electronic device to -Cause to express first content corresponding to training,
After the first data is transmitted, second data for representing second content corresponding to the first training is transmitted to the electronic device, where the first training is an outwardly focused state of the user. associated with activation of at least one DAN in the brain of the user, wherein the second data causes the electronic device to display second content corresponding to the first training, ,
Receiving first biosignal-related data and/or first user input-related data obtained by the electronic device during and/or after completion of the second content,
configured to cause the electronic device to transmit information representing an evaluation result of the cognitive function confirmed based on the first biosignal-related data and/or the first user input-related data, wherein: Information for an evaluation result causes the electronic device to express the evaluation result,
The first data and the second data enable the electronic device to provide the second content corresponding to the first training before the first content corresponding to the first pre-training is provided. Storage media that causes you to refrain. According to claim 1,
The at least one instruction, when executed by the at least one processor, causes the server to perform the instruction corresponding to the first pre-training based on confirmation that the user input has been obtained based on the information. At least as part of the operation of transmitting the first data for representing first content to the electronic device,
Before transmitting the first data to the electronic device, receive bio-signal related data acquired by the electronic device,
Check whether the bio-signal related data received before the first data is transmitted satisfies conditions for determining whether to perform pre-training,
A storage medium configured to cause transmission of the first data based on a condition for determining whether to perform the pre-training is satisfied. According to claim 2,
When executed by the at least one processor, the at least one instruction causes the server to:
A storage medium configured to further cause skipping pre-training and transmitting data for representing content corresponding to training to the electronic device based on the condition for determining whether to perform the pre-training is not satisfied. According to claim 1,
The first pre-training includes meditation training, breathing training training, and/or music listening. According to claim 1,
The at least one instruction, when executed by the at least one processor, causes the server to transmit the second data for representing the second content corresponding to the first training to the electronic device. at least part of,
Receiving second user input-related data obtained by the electronic device during and/or after completion of the first content,
Based on the second user input-related data, determine whether to provide the second data,
A storage medium configured to cause transmission of the second data to the electronic device based on confirming that the second data will be provided based on the second user input related data. According to claim 5,
The at least one instruction, when executed by the at least one processor, is at least part of an operation that causes the server to determine whether to provide the second data based on the second user input related data. ,
The second user input related data includes a first flag among a first flag indicating that the user focused on the first pre-training and a second flag indicating that the user did not focus on the first pre-training. A storage medium configured to cause confirmation to provide said second data based on what it contains. According to claim 5,
The at least one instruction, when executed by the at least one processor, is at least part of an operation that causes the server to determine whether to provide the second data based on the second user input related data. ,
A storage medium configured to cause confirmation to provide the second data based on at least one score confirmed based on the second user input related data satisfying a specified score related condition. According to claim 5,
The at least one instruction, when executed by the at least one processor, causes the server to:
Based on the confirmation that the second data will not be provided based on the second user input related data, transmit third data for expressing third content corresponding to the second pre-training to the electronic device. is set to cause,
Here, the second pre-training is intended to cause the user's state to reach an inwardly focused state and is associated with activation of at least one DMN of the user's brain, and the third data is the electronic A storage medium causing a device to present third content corresponding to the second pre-training. According to claim 8,
The second pre-training is the same storage medium as the first pre-training. According to claim 8,
The second pre-training has the same type as the type of the first pre-training and has a difficulty level different from that of the first pre-training, or
The second pre-training is a storage medium having a different type from the type of the first pre-training. According to claim 8,
The at least one instruction, when executed by the at least one processor, causes the server to:
Based on the number of repetitions of pre-training, the second user input related data, and/or the second biosignal related data acquired by the electronic device during and/or after completion of the first content, A storage medium configured to further cause determining a second pre-training. According to claim 1,
The at least one instruction, when executed by the at least one processor, causes the server to transmit the second data for representing the second content corresponding to the first training to the electronic device. at least part of,
Receiving second bio-signal related data acquired by the electronic device during and/or after completion of the first content,
Based on the second biosignal-related data, determine whether to provide the second data,
A storage medium configured to cause transmission of the second data to the electronic device based on confirming that the second data will be provided based on the second biosignal related data. According to claim 12,
The at least one instruction, when executed by the at least one processor, causes the server to transmit the second data for representing the second content corresponding to the first training to the electronic device. at least part of,
A storage medium configured to select the second data based on the second biosignal-related data or to cause selection of the preset second data. According to claim 13,
The at least one instruction, when executed by the at least one processor, is at least part of an operation of causing the server to select the second data based on the second biosignal-related data,
A storage medium configured to cause, based on the second bio-signal related data, to determine an initial difficulty level of the second data. According to claim 1,
The at least one instruction, when executed by the at least one processor, causes the server to:
Whether re-performance of pre-training is required based on the first biosignal-related data and/or the first user input-related data acquired by the electronic device during and/or after completion of the second content Check and
Based on confirmation that re-performance of pre-training is required, further cause to transmit to the electronic device fourth data for representing fourth content corresponding to the third pre-training,
Here, the third pre-training is intended to cause the user's state to reach an inwardly focused state and is associated with activation of at least one DMN of the user's brain, and the fourth data is the electronic A storage medium causing a device to present third content corresponding to the third pre-training. According to claim 1,
The at least one instruction, when executed by the at least one processor, causes the server to:
Determining whether re-performance of training is required based on the first bio-signal-related data and/or the first user input-related data acquired by the electronic device during and/or after completion of the second content do,
Based on confirmation that re-performance of training is required, further cause to transmit to the electronic device fifth data for representing fifth content corresponding to the second training,
Here, the second training is intended to cause the user's state to reach an outwardly focused state and is associated with activation of at least one DAN of the user's brain, and the fifth data causes the electronic device to A storage medium further configured to cause to represent a fifth content corresponding to the second training. According to claim 1,
The at least one instruction, when executed by the at least one processor, causes the server to:
receive information from the electronic device associated with the first pre-training and other user input for determining the first training;
The storage medium further configured to cause to determine the first pre-training and the first training based on information associated with the other user input. A storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by the at least one processor, causes an electronic device including the at least one processor to:
Obtain user input to result in the provision of training to improve cognitive function,
Based on the acquisition of the user input, provide first content corresponding to first pre-training, wherein the first pre-training is for causing the user's state to reach an inwardly focused state. is associated with activation of at least one DMN in the brain of the user,
After the first content corresponding to the first pre-training is provided, second content corresponding to the first training is provided, where the first training reaches the user's state to an outwardly focused state. associated with activation of at least one DAN in the brain of the user,
is set to cause to provide an evaluation result of the cognitive function confirmed based on first biosignal-related data and/or first user input-related data obtained during and/or after completion of the second content,
A storage medium that refrains from providing the second content corresponding to the first training before the first content corresponding to the first pre-training is provided. According to claim 18,
The at least one instruction, when executed by the at least one processor, is at least part of an operation of providing the second content corresponding to the first training to the electronic device,
Obtaining data related to second user input during and/or after completion of the first content,
Based on the second user input-related data, determine whether to provide the second content,
A storage medium configured to cause provision of the second content based on confirmation that the second content will be provided based on the second user input related data. According to claim 19,
The at least one instruction, when executed by the at least one processor, includes at least an operation of checking whether to provide the second content based on the second user input related data by the electronic device. In part,
The second user input related data is in the first flag among a first flag indicating that the user focused on the first pre-training and a second flag indicating that the user did not focus on the first pre-training. A storage medium configured to cause confirmation to provide the second content based on the corresponding. According to claim 19,
The at least one instruction, when executed by the at least one processor, includes at least an operation of checking whether to provide the second content based on the second user input related data by the electronic device. In part,
A storage medium configured to cause confirmation to provide the second content based on at least one score confirmed based on the second user input-related data satisfying a specified score-related condition. According to claim 19,
The at least one instruction, when executed by the at least one processor, causes the electronic device to:
Based on the confirmation that the second content will not be provided based on the second user input related data, third content corresponding to the second pre-training is provided, where the second pre-training includes, A storage medium for causing a user's state to reach an inwardly focused state, the storage medium being associated with activation of at least one DMN of the user's brain. According to claim 18,
The at least one instruction, when executed by the at least one processor, causes the electronic device to:
Whether re-performance of pre-training is required based on the first biosignal-related data and/or the first user input-related data acquired by the electronic device during and/or after completion of the second content Check and
Based on confirmation that re-performance of the pre-training is required, it is further set to cause to provide a fourth content corresponding to the third pre-training, wherein the third pre-training is configured to determine the state of the user. A storage medium intended to cause one to reach a state of inward focus. In a method of providing training to improve cognitive function,
An operation to confirm, by a server, a user's connection based on an electronic device;
After the user's connection is confirmed, receiving information indicating that a user input for causing provision of training for improving cognitive function is obtained by the server from the electronic device;
An operation of transmitting, by the server, first data for expressing first content corresponding to first pre-training to the electronic device based on confirmation that the user input is obtained based on the information, here wherein the first pre-training is intended to cause the user's state to reach an inwardly focused state and is associated with activation of at least one DMN of the user's brain;
An operation of expressing, by the electronic device, first content corresponding to the first pre-training, based on the first data;
An operation of transmitting, by the server, second data for representing second content corresponding to first training to the electronic device after the first content is expressed by the electronic device, wherein the first The training is intended to cause the user's state to reach an outwardly focused state and is associated with activation of at least one DAN of the brain of the user;
expressing second content corresponding to the first training by the electronic device, based on the second data;
Obtaining, by the electronic device, first bio-signal-related data and/or first user input-related data while performing and/or completing the second content, and transmitting the first bio-signal-related data and/or first user input-related data to the server;
Receiving, by the server, the first biological signal-related data and/or the first user input-related data;
transmitting, by the server, information representing an evaluation result of the cognitive function confirmed based on the first biosignal-related data and/or the first user input-related data to the electronic device;
An operation of expressing the evaluation result by the electronic device, based on information for the evaluation result.
Including,
A method in which provision of the second content corresponding to the first training is refrained from being provided before the first content corresponding to the first pre-training is provided.