KR20240062848A - System and method for generating exercise routine - Google Patents

Abstract

A system for generating an exercise routine according to an embodiment corresponds to a plurality of exercise actions performed by the user based on biometric information of the user wearing the wearable electronic device obtained from the sensor module of the wearable electronic device. It may include the wearable electronic device that collects exercise data and transmits the collected exercise data to an electronic device.
The system according to one embodiment generates the user's exercise routine based on exercise data received from the wearable electronic device, and determines the type of exercise included in the exercise routine, exercise time, and exercise routine according to the user's body information. It may include an electronic device that recommends a change in at least one of the number of exercises, rest time, or number of rest periods.

Description

System and method for generating exercise routines {SYSTEM AND METHOD FOR GENERATING EXERCISE ROUTINE}

This disclosure relates to systems and methods for creating exercise routines.

As semiconductor integration and sensing technologies advance, wearable electronic devices can provide the ability to monitor biometric information at home rather than in a hospital. Accordingly, the number of users who exercise using wearable electronic devices that can monitor biometric information is increasing.

When a user wearing the wearable electronic device performs an exercise after selecting an exercise type on the wearable electronic device and ends the exercise, the wearable electronic device performs the exercise according to the selected exercise type. Exercise information such as heart rate, calories burned by the user, and/or exercise distance may be provided.

A system for generating an exercise routine according to an embodiment corresponds to a plurality of exercise actions performed by the user based on biometric information of the user wearing the wearable electronic device obtained from the sensor module of the wearable electronic device. It may include the wearable electronic device that collects exercise data and transmits the collected exercise data to an electronic device.

The system according to one embodiment generates the user's exercise routine based on exercise data received from the wearable electronic device, and determines the type of exercise included in the exercise routine, exercise time, and exercise routine according to the user's body information. It may include an electronic device that recommends a change in at least one of the number of exercises, rest time, or number of rest periods.

A method for creating an exercise routine according to an embodiment includes a method of creating an exercise routine performed by a user based on biometric information of a user wearing the wearable electronic device obtained from a sensor module of the wearable electronic device. It may include collecting exercise data corresponding to a plurality of exercise actions and transmitting the collected exercise data to an electronic device.

The method according to one embodiment may include generating, by the electronic device, an exercise routine for the user based on exercise data received from the wearable electronic device.

The method according to one embodiment recommends, by the electronic device, a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine according to the body information of the user. It may include actions such as:

1 is a block diagram of an electronic device in a network environment according to an embodiment.
FIG. 2 is a diagram illustrating a system for managing the battery of a wearable electronic device according to an embodiment.
Figure 3 is a block diagram of a wearable electronic device according to an embodiment.
Figure 4 is a block diagram of an electronic device according to an embodiment.
FIG. 5 is a diagram illustrating an operation of detecting the start of exercise in a wearable electronic device according to an embodiment.
Figure 6 is a diagram for explaining exercise and rest actions in a wearable electronic device according to an embodiment.
FIG. 7 is a diagram illustrating an operation of classifying exercise types based on exercise data in an electronic device according to an embodiment.
FIGS. 8A to 8C are diagrams for explaining an operation of creating an exercise routine in an electronic device and recommending editing of the exercise routine based on body information of the user, according to an embodiment of the present invention.
FIGS. 9A to 9D are diagrams for explaining an operation of editing an exercise routine in an electronic device according to an embodiment of the present invention.
FIG. 10 is a diagram illustrating an operation of providing guidance while executing an exercise routine in a wearable electronic device according to an embodiment.
Figure 11 is a flowchart for explaining an operation for creating an exercise routine according to an embodiment.
FIG. 12 is a flowchart illustrating an operation for creating an exercise routine in a wearable electronic device according to an embodiment.
FIG. 13 is a flowchart illustrating an operation for creating an exercise routine in an electronic device according to an embodiment.
FIG. 14 is a flowchart illustrating an operation for classifying exercise types in an electronic device according to an embodiment.

FIG. 1 is a block diagram of an electronic device 101 in a network environment 100, according to one embodiment. Referring to FIG. 1, in the network environment 100, the electronic device 101 communicates with the electronic device 102 through a first network 198 (e.g., a short-range wireless communication network) or a second network 199. It is possible to communicate with at least one of the electronic device 104 or the server 108 through (e.g., a long-distance wireless communication network). According to one embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108. According to one embodiment, the electronic device 101 includes a processor 120, a memory 130, an input module 150, an audio output module 155, a display module 160, an audio module 170, and a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or may include an antenna module 197. In some embodiments, at least one of these components (eg, the connection terminal 178) may be omitted or one or more other components may be added to the electronic device 101. In some embodiments, some of these components (e.g., sensor module 176, camera module 180, or antenna module 197) are integrated into one component (e.g., display module 160). It can be.

The processor 120, for example, executes software (e.g., program 140) to operate at least one other component (e.g., hardware or software component) of the electronic device 101 connected to the processor 120. It can be controlled and various data processing or calculations can be performed. According to one embodiment, as at least part of data processing or computation, the processor 120 stores commands or data received from another component (e.g., sensor module 176 or communication module 190) in volatile memory 132. The commands or data stored in the volatile memory 132 can be processed, and the resulting data can be stored in the non-volatile memory 134. According to one embodiment, the processor 120 includes a main processor 121 (e.g., a central processing unit or an application processor) or an auxiliary processor 123 that can operate independently or together (e.g., a graphics processing unit, a neural network processing unit ( It may include a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor). For example, if the electronic device 101 includes a main processor 121 and a secondary processor 123, the secondary processor 123 may be set to use lower power than the main processor 121 or be specialized for a designated function. You can. The auxiliary processor 123 may be implemented separately from the main processor 121 or as part of it.

The auxiliary processor 123 may, for example, act on behalf of the main processor 121 while the main processor 121 is in an inactive (e.g., sleep) state, or while the main processor 121 is in an active (e.g., application execution) state. ), together with the main processor 121, at least one of the components of the electronic device 101 (e.g., the display module 160, the sensor module 176, or the communication module 190) At least some of the functions or states related to can be controlled. According to one embodiment, co-processor 123 (e.g., image signal processor or communication processor) may be implemented as part of another functionally related component (e.g., camera module 180 or communication module 190). there is. According to one embodiment, the auxiliary processor 123 (eg, neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. Artificial intelligence models can be created through machine learning. For example, such learning may be performed in the electronic device 101 itself on which the artificial intelligence model is performed, or may be performed through a separate server (e.g., server 108). Learning algorithms may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but It is not limited. An artificial intelligence model may include multiple artificial neural network layers. Artificial neural networks include deep neural network (DNN), convolutional neural network (CNN), recurrent neural network (RNN), restricted boltzmann machine (RBM), belief deep network (DBN), bidirectional recurrent deep neural network (BRDNN), It may be one of deep Q-networks or a combination of two or more of the above, but is not limited to the examples described above. In addition to hardware structures, artificial intelligence models may additionally or alternatively include software structures.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176) of the electronic device 101. Data may include, for example, input data or output data for software (e.g., program 140) and instructions related thereto. Memory 130 may include volatile memory 132 or non-volatile memory 134.

The program 140 may be stored as software in the memory 130 and may include, for example, an operating system 142, middleware 144, or application 146.

The input module 150 may receive commands or data to be used in a component of the electronic device 101 (e.g., the processor 120) from outside the electronic device 101 (e.g., a user). The input module 150 may include, for example, a microphone, mouse, keyboard, keys (eg, buttons), or digital pen (eg, stylus pen).

The sound output module 155 may output sound signals to the outside of the electronic device 101. The sound output module 155 may include, for example, a speaker or a receiver. Speakers can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from the speaker or as part of it.

The display module 160 can visually provide information to the outside of the electronic device 101 (eg, a user). The display module 160 may include, for example, a display, a hologram device, or a projector, and a control circuit for controlling the device. According to one embodiment, the display module 160 may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of force generated by the touch.

The audio module 170 can convert sound into an electrical signal or, conversely, convert an electrical signal into sound. According to one embodiment, the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device (e.g., directly or wirelessly connected to the electronic device 101). Sound may be output through the electronic device 102 (e.g., speaker or headphone).

The sensor module 176 detects the operating state (e.g., power or temperature) of the electronic device 101 or the external environmental state (e.g., user state) and generates an electrical signal or data value corresponding to the detected state. can do. According to one embodiment, the sensor module 176 includes, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, It may include a temperature sensor, humidity sensor, or light sensor.

The interface 177 may support one or more designated protocols that can be used to connect the electronic device 101 directly or wirelessly with an external electronic device (eg, the electronic device 102). According to one embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 178 may include a connector through which the electronic device 101 can be physically connected to an external electronic device (eg, the electronic device 102). According to one embodiment, the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 179 can convert electrical signals into mechanical stimulation (e.g., vibration or movement) or electrical stimulation that the user can perceive through tactile or kinesthetic senses. According to one embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 can capture still images and moving images. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 188 can manage power supplied to the electronic device 101. According to one embodiment, the power management module 188 may be implemented as at least a part of, for example, a power management integrated circuit (PMIC).

The battery 189 may supply power to at least one component of the electronic device 101. According to one embodiment, the battery 189 may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

Communication module 190 is configured to provide a direct (e.g., wired) communication channel or wireless communication channel between electronic device 101 and an external electronic device (e.g., electronic device 102, electronic device 104, or server 108). It can support establishment and communication through established communication channels. Communication module 190 operates independently of processor 120 (e.g., an application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module 190 is a wireless communication module 192 (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (e.g., : LAN (local area network) communication module, or power line communication module) may be included. Among these communication modules, the corresponding communication module is a first network 198 (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (e.g., legacy It may communicate with an external electronic device 104 through a telecommunication network such as a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., LAN or WAN). These various types of communication modules may be integrated into one component (e.g., a single chip) or may be implemented as a plurality of separate components (e.g., multiple chips). The wireless communication module 192 uses subscriber information (e.g., International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199. The electronic device 101 can be confirmed or authenticated.

The wireless communication module 192 may support 5G networks after 4G networks and next-generation communication technologies, for example, NR access technology (new radio access technology). NR access technology provides high-speed transmission of high-capacity data (enhanced mobile broadband (eMBB)), minimization of terminal power and access to multiple terminals (massive machine type communications (mMTC)), or ultra-reliable and low-latency (URLLC). -latency communications)) can be supported. The wireless communication module 192 may support high frequency bands (eg, mmWave bands), for example, to achieve high data rates. The wireless communication module 192 uses various technologies to secure performance in high frequency bands, for example, beamforming, massive array multiple-input and multiple-output (MIMO), and full-dimensional multiplexing. It can support technologies such as input/output (FD-MIMO: full dimensional MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module 192 may support various requirements specified in the electronic device 101, an external electronic device (e.g., electronic device 104), or a network system (e.g., second network 199). According to one embodiment, the wireless communication module 192 supports Peak data rate (e.g., 20 Gbps or more) for realizing eMBB, loss coverage (e.g., 164 dB or less) for realizing mmTC, or U-plane latency (e.g., 164 dB or less) for realizing URLLC. Example: Downlink (DL) and uplink (UL) each of 0.5 ms or less, or round trip 1 ms or less) can be supported.

The antenna module 197 may transmit or receive signals or power to or from the outside (eg, an external electronic device). According to one embodiment, the antenna module 197 may include an antenna including a radiator made of a conductor or a conductive pattern formed on a substrate (eg, PCB). According to one embodiment, the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network such as the first network 198 or the second network 199 is, for example, connected to the plurality of antennas by the communication module 190. can be selected. Signals or power may be transmitted or received between the communication module 190 and an external electronic device through the at least one selected antenna. According to some embodiments, in addition to the radiator, other components (eg, radio frequency integrated circuit (RFIC)) may be additionally formed as part of the antenna module 197.

According to one embodiment, the antenna module 197 may form a mmWave antenna module. According to one embodiment, a mmWave antenna module includes a printed circuit board, an RFIC disposed on or adjacent to a first side (e.g., bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., mmWave band); And a plurality of antennas (e.g., array antennas) disposed on or adjacent to the second side (e.g., top or side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (e.g., bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and signal ( (e.g. commands or data) can be exchanged with each other.

According to one embodiment, commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199. Each of the external electronic devices 102 or 104 may be of the same or different type as the electronic device 101. According to one embodiment, all or part of the operations performed in the electronic device 101 may be executed in one or more of the external electronic devices 102, 104, or 108. For example, when the electronic device 101 needs to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device 101 may perform the function or service instead of executing the function or service on its own. Alternatively, or additionally, one or more external electronic devices may be requested to perform at least part of the function or service. One or more external electronic devices that have received the request may execute at least part of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device 101. The electronic device 101 may process the result as is or additionally and provide it as at least part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology can be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 104 may include an Internet of Things (IoT) device. Server 108 may be an intelligent server using machine learning and/or neural networks. According to one embodiment, the external electronic device 104 or server 108 may be included in the second network 199. The electronic device 101 may be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

FIG. 2 is a diagram 200 illustrating a system for creating an exercise routine according to one embodiment.

Referring to FIG. 2, a system for creating an exercise routine may include a wearable electronic device 301 and an electronic device 401.

According to one embodiment, the wearable electronic device 301 includes exercise data corresponding to a plurality of exercise actions performed by a user wearing the wearable electronic device based on biometric information acquired from a sensor module of the wearable electronic device. may be collected, and the collected exercise data may be transmitted to the electronic device 401.

According to one embodiment, the wearable electronic device 301 may detect the start and end of exercise of the user and transmit the collected exercise data from the start of the exercise to the end of the exercise to the electronic device 401. there is.

According to one embodiment, the wearable electronic device 301 receives the user's selection to notify the start of exercise, confirms the exercise schedule stored in the wearable electronic device, detects that the wearable electronic device is located in an exercise-related place, Alternatively, the start of the user's exercise may be detected based on at least one of detecting the user's repeated performance of the same action.

According to one embodiment, when the wearable electronic device 301 detects a user's resting behavior between the plurality of exercise activities while collecting the exercise data, it collects rest data corresponding to the resting behavior, The collected rest data may be transmitted to the electronic device 401. While collecting exercise data corresponding to the user's first exercise behavior, the wearable electronic device 301 collects exercise data corresponding to the user's first exercise behavior within a first certain period of time (e.g., 30 minutes). Otherwise, if the user's heart rate detected while performing the first exercise action decreases below the threshold, the user's rest action is detected, and rest data including the rest time and number of rests during which the rest action was performed. can be transmitted to the electronic device 401.

According to one embodiment, while the wearable electronic device 301 collects the exercise data from the time of detecting the start of the exercise, the biometric information is set for a first certain period of time (e.g., 30 minutes) for detecting a resting behavior. When it is not obtained even after elapsed, the end of the exercise can be detected.

According to one embodiment, the wearable electronic device 301 receives an exercise routine generated based on exercise data corresponding to the plurality of exercise actions from the electronic device, and sends the exercise routine to the wearable electronic device 301. ) can be provided through the display or speaker.

The configuration of the wearable electronic device 301 can be described in detail in FIG. 3 below.

According to one embodiment, when the electronic device 401 receives exercise data corresponding to a plurality of exercise actions performed by a user wearing the wearable electronic device from the wearable electronic device 301, the user's exercise routine can be created.

According to one embodiment, the electronic device 401 detects the type of exercise, exercise time, and number of exercises based on the exercise data received from the wearable electronic device 301, and detects the type of exercise, The user's exercise routine can be created based on exercise time and number of exercises.

According to one embodiment, the electronic device 401 detects a periodic repetitive exercise pattern based on the exercise data received from the wearable electronic device 301 and performs grouping based on the periodic repetitive exercise pattern. You can classify the types of exercise by grouping using learning data.

According to one embodiment, the electronic device 401, based on the rest data received from the wearable electronic device 301, determines the rest time and rest period during which the user rested between a plurality of exercise actions performed by the user. The number of times can be detected, and the detected rest time and number of rests can be included in the exercise routine to be generated.

According to one embodiment, when the electronic device 401 creates an exercise routine for the user, the type of exercise included in the exercise routine, exercise time, number of exercises, rest time, or number of breaks is selected according to the user's body information. At least one change can be recommended.

According to one embodiment, the electronic device 401 provides an editing function that allows the user to change at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine. can do.

According to one embodiment, the electronic device 401 may transmit the exercise routine to the wearable electronic device 301 so that the exercise routine can be provided by the wearable electronic device 301.

The configuration of the electronic device 401 can be described in detail in FIG. 4 below.

Figure 3 is a block diagram 300 of a wearable electronic device according to an embodiment.

Referring to FIG. 3, according to one embodiment, the wearable electronic device 301 (e.g., the wearable electronic device 301 of FIG. 2) includes a first processor 320, a first memory 330, and a first processor 320. It may include a display 360, a first sensor module 376, and a first communication module 390.

At least some of the components of the electronic device 301 shown in FIG. 3 may be the same or similar to the components of the electronic device 101 shown in FIG. 1, and overlapping descriptions will be omitted hereinafter.

According to one embodiment, the first processor 320 may be implemented substantially the same as or similar to the processor 120 of FIG. 1.

According to one embodiment, the first processor 320, based on biometric information acquired through the first sensor module 376, determines a plurality of exercise actions performed by a user wearing the wearable electronic device 301. Corresponding exercise data may be collected, and the collected exercise data may be transmitted to a communication-connected electronic device (e.g., the electronic device 401 in FIG. 3) through the first communication module 390.

According to one embodiment, when the first processor 320 detects the user's start of exercise, it may transmit information notifying the user's start of exercise to the electronic device.

According to one embodiment, the first processor 320 may detect the user's start of exercise when receiving the user's selection indicating the start of exercise. For example, when the first processor 320 receives a selection of one exercise type among a plurality of exercise types provided by the wearable electronic device or a user's selection requesting the creation of an exercise routine, the user The start of movement can be detected.

According to one embodiment, the first processor 320 may detect the start of the user's exercise when checking the wearable electronic device or the exercise schedule stored in the electronic device. For example, the first processor 320 detects an exercise schedule in a calendar application, notification application, and/or message application, stores the detected exercise schedule, and sets the start time of the exercise schedule to the user's exercise start time. It can be detected by time.

According to one embodiment, the first processor 320 may check the exercise schedule stored in the wearable electronic device and detect the start of the user's exercise when the exercise data is collected. For example, the first processor 320 is a calendar application. The exercise schedule is detected in the notification application and/or the message application, the exercise schedule is stored, and when the exercise data is collected at the start time of the detected exercise schedule, it can be detected as the user's exercise start time.

According to one embodiment, the first processor 320 may detect the start of the user's exercise when the wearable electronic device 301 is located in an exercise-related place. For example, if the wearable electronic device 301 is located in a place where the user's exercise information is recorded or a place where an exercise facility is located, it can detect the start of the user's exercise.

According to one embodiment, the first processor 320 may detect the start of the user's exercise when the wearable electronic device 301 is located in an exercise-related place and the exercise data is collected. For example, if the exercise data is collected while the wearable electronic device 301 is located in a place where the user's exercise information is recorded or a place where an exercise facility is located, the start of the user's exercise can be detected.

According to one embodiment, when the first processor 320 detects the user's start of exercise, it collects exercise data based on biometric information acquired through the first sensor module 376, and collects exercise data based on the collected exercise data. Data can be transmitted to the electronic device.

According to one embodiment, when the first processor 320 detects the user's resting behavior while collecting the exercise data and transmitting the collected exercise data to the electronic device, it responds to the resting behavior. The rest data can be transmitted to the electronic device.

According to one embodiment, the first processor 320, while collecting exercise data corresponding to the first exercise action among a plurality of exercise actions performed by the user, within a first predetermined time (e.g., 30 minutes) If exercise data corresponding to the user's first exercise behavior is not collected and the user's heart rate detected while performing the first exercise behavior decreases below the threshold, the user's rest behavior is detected, and the rest behavior is detected. Rest data including the rest time and number of breaks performed may be transmitted to the electronic device.

According to one embodiment, while the first processor 320 collects the exercise data and transmits the collected exercise data to the electronic device, a first predetermined time period for detecting the user's resting behavior elapses. Even if exercise data is not collected, the end of the user's exercise may be detected, and information notifying the end of the user's exercise may be transmitted to the electronic device. For example, while collecting the exercise data, the first processor 320 detects the end of the user's exercise if the exercise data is not collected even after a first predetermined time period for detecting the user's rest behavior has elapsed. can do.

According to one embodiment, when the first processor 320 receives an exercise routine from an electronic device (e.g., the electronic device 401 of FIG. 2), the first processor 320 may display the exercise routine through the first display 160. there is.

According to one embodiment, when the first processor 320 confirms execution of an exercise routine selected by the user, the first display 360 or/and a speaker (not shown) allow the user to exercise according to the exercise routine. ) can provide guide information.

According to one embodiment, the first memory 330 may be implemented substantially the same as or similar to the memory 130 of FIG. 1 .

According to one embodiment, the first display 360 may be implemented substantially the same as or similar to the display module 160 of FIG. 1.

According to one embodiment, the first display 360 may display an exercise routine received from the electronic device.

According to one embodiment, the first sensor module 376 may be implemented substantially the same as or similar to the sensor module 176 of FIG. 1.

According to one embodiment, the first sensor module 376 may include a biometric sensor, a motion sensor, an acceleration sensor, a gyro sensor, an angular velocity sensor, a gyro sensor, a heart rate sensor, a temperature and humidity sensor, an air pressure sensor, and/or a position sensor. there is.

According to one embodiment, the first communication module 390 may be implemented substantially the same as or similar to the communication module 190 of FIG. 1 and may include a plurality of communication circuits using different communication technologies. there is.

According to one embodiment, the first communication module 390 may include at least one of a wireless LAN module (not shown) and a short-range communication module (not shown), and the short-range communication module (not shown) may be used to provide UWB ( It may include an ultra wide band) communication module, Wi-Fi communication module, NFC communication module, Bluetooth legacy communication module, and/or BLE communication module.

Figure 4 is a block diagram 400 of an electronic device according to an embodiment.

Referring to FIG. 4, according to one embodiment, the electronic device 401 (e.g., the electronic device 401 of FIG. 2) includes a second processor 420, a second memory 430, and a second display ( 460), a second sensor module 476, and a second communication module 490.

At least some of the components of the electronic device 401 shown in FIG. 4 may be the same or similar to the components of the electronic device 101 shown in FIG. 1, and overlapping descriptions will be omitted hereinafter.

According to one embodiment, the second processor 420 may be implemented substantially the same as or similar to the processor 120 of FIG. 1.

According to one embodiment, the second processor 420 receives a signal from a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2) that is connected to communication through the second sensor module 476 while wearing the wearable electronic device. When exercise data corresponding to a plurality of exercise actions performed by the user is received, the user's exercise routine can be created based on the exercise data.

According to one embodiment, when the second processor 420 receives information indicating the start of a user's exercise from the wearable electronic device, it may wait to receive exercise data.

According to one embodiment, while receiving exercise data from the wearable electronic device, the second processor 420 receives information indicating the end of the user's exercise from the wearable electronic device, and proceeds from the start of the exercise to the end of the exercise. The user's exercise routine can be created based on the exercise data received up to .

According to one embodiment, the second processor 420 determines the exercise type, exercise time for each exercise type, and exercise type for a plurality of exercise actions performed by the user wearing the wearable electronic device based on the exercise data. The number of exercises may be detected and the user's exercise routine including the detected exercise type, exercise time, and number of exercises may be created.

According to one embodiment, the second processor 420 detects a periodic repetitive exercise pattern based on the exercise data, performs grouping based on the periodic repetitive exercise pattern, and groups using learning data. Types of exercise can be categorized by type.

According to one embodiment, the second processor 420 processes the exercise data, detects a period in which a periodic repetitive exercise pattern occurs, and performs a PCA (Principal) in the period in which the periodic repetitive exercise pattern occurs. Features can be detected using predictive discriminant analysis techniques such as Component Analysis (LDA) or Linear Discriminant Analysis (LDA). If the repetitive movement pattern section is not detected for more than a threshold time, the second processor 420 performs unsupervised machine learning (e.g., K-means, Gaussian Mixture Model (GMM), Hierarchical Agglomerative Clustering (HAC)). , or DBSCAN, etc.) can be used to perform clustering on the repetitive movement patterns. The second processor 420 can measure similarity by calculating coefficients of Pearson Correlation, Euclidian Distance, or Cosine Similarity, and perform grouping by clusters with high similarity. The second processor 420 may classify exercise types by grouping using a machine learning-based classifier learning model. The second processor 420 may detect exercise time and exercise number as detailed information for each classified exercise group.

According to one embodiment, the second processor 420 detects the rest time and number of rests during which the user rested between a plurality of exercise actions performed by the user based on rest data received from the wearable electronic device. And, the detected rest time and number of rests can be included in the exercise routine to be generated.

According to one embodiment, the second processor 420 may transmit the generated exercise routine to the wearable electronic device so that the generated exercise routine can be provided by the wearable electronic device.

According to one embodiment, the second processor 420 recommends changing at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine according to the user's body information. You can.

According to one embodiment, the second processor 420 visually displays the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine on the second display 460. Depending on the user's physical information, a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine may be recommended.

For example, when performing 3 sets of the first exercise (e.g., strength A exercise) among a plurality of exercises, the second processor 420 performs the first exercise 15 times for 1 minute and 15 seconds or more for each set. If the user's heart rate is higher than the threshold in the first section, the number of exercises in the first section, 3 sets, is increased to 4 sets, the exercise time is reduced to 50 seconds per set, and the rest time between sets is increased, It may be recommended that the user fulfill an exercise goal that can be accomplished with the exercise routine.

For example, the second processor 420 may set the calorie consumption rate when the user's body fat percentage is above a threshold or the body fat percentage set as a target value by the user and a plurality of exercises included in the exercise routine are performed. If it is not included in the calorie consumption rate to reduce the user's body fat percentage, it may be recommended to add aerobic exercise or change one of the plurality of exercises to aerobic exercise.

According to one embodiment, the second processor 420 visually displays the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine on the second display 460. An editing function may be provided that allows the user to change at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine.

According to one embodiment, the second processor 420 stores the generated exercise routine, the exercise routine changed according to the recommendation, or the exercise routine edited by the user in the second memory 430 based on the user's selection. You can.

According to one embodiment, the second processor 420 checks the exercise routine selected by the user among a plurality of exercise routines stored in the second memory 430, and at the time of selecting the exercise routine, the wearable electronic device (e.g., The exercise routine included in the selected exercise routine according to the body information (e.g., heart rate, stress, weight, and/or body fat percentage) of the user wearing the wearable electronic device 301 of FIG. 2 and/or external environment information. Changes to at least one of the types of exercises included, exercise duration, number of exercises, rest periods, or number of rests may be recommended.

For example, the second processor 420 may use physical information of the user wearing the wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2), such as heart rate, stress, weight, and/or Based on the body fat percentage, a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the selected exercise routine may be recommended.

For example, the second processor 420 may include the exercise routine included in the selected exercise routine based on external environmental information, for example, current weather information and/or weather information predicted while performing the exercise routine. It may be recommended to change at least one of the types of exercise included, exercise time, number of exercises, rest time, or number of rests.

For example, the second processor 420 uses external environment information, for example, when the electronic device is located in an exercise-related place (e.g., a gym or a swimming pool), exercise information that can be performed at the exercise-related place. Based on this, a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the selected exercise routine may be recommended.

According to one embodiment, when the second processor 420 confirms execution of an exercise routine selected by the user, the second display 460 or/and a speaker (not shown) allow the user to exercise according to the exercise routine. ) can provide guide information.

According to one embodiment, the second memory 430 may be implemented substantially the same as or similar to the memory 130 of FIG. 1.

According to one embodiment, at least one exercise routine may be stored in the second memory 430.

According to one embodiment, the second display 460 may be implemented substantially the same as or similar to the display module 160 of FIG. 1.

According to one embodiment, the second display 460 may display an exercise routine generated based on exercise data received from a wearable electronic device (eg, the wearable electronic device 301 of FIG. 2).

According to one embodiment, the second display 460 may display an exercise routine generated based on exercise data received from a wearable electronic device (eg, the wearable electronic device 301 of FIG. 2).

According to one embodiment, the second display 460 displays the exercise routine according to the user's body information while displaying the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine. A recommended routine that changes at least one of the type of exercise included, exercise time, number of exercises, rest time, or number of rests may be displayed.

According to one embodiment, the second display 460 displays the type of exercise included in the exercise routine, exercise time, number of exercises, rest time, or number of breaks, while displaying the type of exercise included in the exercise routine, An editing function that allows the user to change at least one of exercise time, number of exercises, rest time, or number of breaks may be displayed.

According to one embodiment, the second sensor module 476 may be implemented substantially the same as or similar to the sensor module 176 of FIG. 1.

According to one embodiment, the second communication module 490 may be implemented substantially the same as or similar to the communication module 190 of FIG. 1 and may include a plurality of communication circuits using different communication technologies. there is.

According to one embodiment, the second communication module 490 may include at least one of a wireless LAN module (not shown) and a short-range communication module (not shown), and the short-range communication module (not shown) may be used to provide UWB ( It may include an ultra wide band) communication module, Wi-Fi communication module, NFC communication module, Bluetooth legacy communication module, and/or BLE communication module.

FIG. 5 is a diagram 500 for explaining an operation of detecting the start of exercise in a wearable electronic device according to an embodiment.

Referring to FIG. 5, as shown in screen <510>, a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device 301 of FIG. 3) is provided by the wearable electronic device. Upon receiving a selection of the exercise icon 511 indicating one exercise type among a plurality of exercise types, or when the start icon 513 indicating a request for creating an exercise routine receives the user's selection, the user starts the exercise. It can be detected.

As shown in the screen <530>, a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device 301 of FIG. 3) displays the gym 513 as an exercise-related place. Or, located in the swimming pool 533 and as shown on screen <<550>, a wearable electronic device (e.g., the wearable electronic device 301 in FIG. 2 and/or the wearable electronic device 301 in FIG. 3) is configured to use the wearable electronic device or Exercise schedule in a calendar application, notification application, and/or message application stored in an electronic device (e.g., electronic device (e.g., electronic device 401 of FIG. 2 and/or electronic device 401 of FIG. 4)) connected to communication with the wearable electronic device. , the detected exercise schedule is stored, and the start time of the exercise schedule can be detected as the user's exercise start time.

A wearable electronic device (e.g., the wearable electronic device 301 in FIG. 2 and/or the wearable electronic device 301 in FIG. 3) includes the wearable electronic device or a calendar application, notification application, and/or message application stored in the electronic device. detects an exercise schedule, stores the detected exercise schedule, and when exercise data is collected from the exercise behavior of the user wearing the wearable electronic device when the current time is the start time of the exercise schedule, starts the user's exercise It can be detected.

FIG. 6 is a diagram 600 for explaining exercise and rest actions in a wearable electronic device according to an embodiment.

In the screen <610>, while a user wearing a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device 301 of FIG. 3) performs an exercise action, energy flow and core Temperature and average skin temperature are shown in graphs.

On the screen <630>, when a user wearing a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device 301 of FIG. 3) performs an exercise action (Exercise) and a rest action ( When performing recovery, cardiac output, stroke volume, and heart rate are shown in graphs.

FIG. 7 is a diagram 700 for explaining an operation of classifying exercise types based on exercise data in an electronic device according to an embodiment.

Referring to FIG. 7, an electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) is a wearable electronic device (e.g., the wearable electronic device of FIG. 2) to which communication is connected. 301) and/or the wearable electronic device 301 of FIG. 3) detects a period in which a periodic repetitive movement pattern occurs based on the movement data, and uses a predictive discriminant analysis technique in the period in which the periodic repetitive movement pattern occurs. Detect features, perform clustering on the repetitive exercise patterns using unsupervised machine learning, and select “strength exercise A section 711” and “strength exercise A section 711” for each cluster with high similarity. Grouping can be performed into “B section (713)”, “Strength exercise C section (715)”, and “Strength exercise D section (717)”.

As a result of classifying the electronic device by grouping using a machine learning-based classifier learning model, the “strength exercise section A (711)” is a “squat exercise section” that is an up and down movement, and the “strength exercise B section (713) )" is the "lunge exercise section" which is a horizontal exercise, "strength exercise C section (715)" is the "bench press exercise section" which is an up and down exercise, and the strength exercise D section (717)" is a "strength exercise section (717)" with little wrist movement. Exercise types can be classified into “leg press exercise sections.”

In the case of the "squat exercise section", the electronic device is a typical up and down movement in which the display of a wearable electronic device (e.g., a watch) worn on the user's wrist is facing the sky, and the wearable electronic device received from the wearable electronic device The type of exercise can be classified by additionally detecting posture information.

In the case of the "bench press exercise section", the electronic device is a typical up and down movement in which the crown of a wearable electronic device (e.g., a watch) worn on the user's wrist is pointing toward the sky, and the wearable electronic device received from the wearable electronic device The type of exercise can be classified by additionally detecting the posture information of the device.

The electronic device may detect rest sections 731, 733, and 735 between exercises based on rest data received from the wearable electronic device.

When the electronic device detects rest sections 711a and 711b with unspecified and/or irregular times in the “strength exercise A section 711,” the rest sections 711a detected with the unspecified and/or irregular times , 711b) can be deleted.

FIGS. 8A to 8C are diagrams 800a to 800c illustrating an operation of creating an exercise routine in an electronic device and recommending editing of the exercise routine based on body information of the user, according to an embodiment of the present invention.

As shown in FIG. 8A, the electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) is a wearable electronic device (e.g., the electronic device 301 of FIG. 2) with which communication is connected. and/or exercise data and rest data received from the wearable electronic device 301 of FIG. 3) may be recorded.

As shown in FIG. 8B, the electronic device (e.g., the electronic device 401 in FIG. 2 and/or the electronic device 401 in FIG. 4) runs by exercise type based on the exercise data and rest data recorded in FIG. 8A. Create an exercise routine classified into a section 811, a strength A section 813, a strength B section 815a, a strength C section 817, and a rowing section 819, and store the generated exercise routine in the electronic device. It can be provided visually through a display (e.g., the second display 460 of FIG. 4).

As shown in FIG. 8C, the electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4), when the user's heart rate is higher than the threshold in the muscle strength B section 815, The number of exercises in the strength B section (815b), which is 3 sets, is increased to 4 sets, the exercise time is reduced to 50 seconds for each set, and the rest time after the start and end of the strength B section is increased so that the user performs the exercise routine. It can be recommended that you meet your exercise goals if you can.

FIGS. 9A to 9D are diagrams 900a to 900d for explaining an operation of editing an exercise routine in an electronic device according to an embodiment.

As shown in FIG. 9A, the electronic device 401 (e.g., the electronic device 401 in FIG. 2 and/or the electronic device 401 in FIG. 4) is a wearable electronic device (e.g., the electronic device in FIG. 2) with which communication is connected. An exercise routine 913a generated based on exercise data and rest data received from (301) and/or the wearable electronic device 301 of FIG. 3 may be provided. While displaying the exercise routine 913a, if you confirm the selection of “Create routine 911” for recommended editing and user editing, you can switch to the mode for recommending editing for the exercise routine as shown in FIG. 9B. there is.

As shown in FIG. 9B, the electronic device 401 (e.g., the electronic device 401 in FIG. 2 and/or the electronic device 401 in FIG. 4) displays the display (e.g., the second display in FIG. 4) of the electronic device. While the exercise routine 913a is displayed at 460, the heart rate rises above the threshold during the lower body exercise A section, so the lower body exercise A section (a1) is changed along with the phrase 931 recommending a change in exercise time and number of times. When the electronic device 401 confirms the selection of “Save routine 935a,” the user inputs the exercise routine 913b that has been changed as recommended by the electronic device 401. When the electronic device 401 confirms the selection of “Additional Editing” (935b), the user can edit the exercise routine as the name (e.g., lower body exercise). You can switch to the mode for .

As shown in FIG. 9C, the electronic device 401 (e.g., the electronic device 401 in FIG. 2 and/or the electronic device 401 in FIG. 4) displays the display (e.g., the second display in FIG. 4) of the electronic device. While displaying the exercise routine (913a) at 460, the user can change the order of the exercise (951), the name of the exercise (953), and the type of exercise (955). ) and a function 957 to change the exercise time, the electronic device 401 may change the exercise time by the user of the electronic device 401 when the selection of “save routine 959” is confirmed. The exercise routine 913c can be additionally saved as the name of the exercise routine entered by the user (eg, lower body exercise).

As shown in FIG. 9D, the electronic device 401 (e.g., the electronic device 401 in FIG. 2 and/or the electronic device 401 in FIG. 4) recommends the electronic device 401 as shown in FIG. 9B. The changed exercise routine 913b is additionally saved as the name of the exercise routine entered by the user (e.g., lower body exercise), or the exercise routine 913c changed by the user is saved as the name of the exercise routine entered by the user as shown in FIG. 9C. When additionally stored as (e.g., lower body exercise), the additionally stored exercise routine (913b or 913c) can be saved as a user's customized exercise routine.

The electronic device 401 may set and store the name of the exercise routine, the date (eg, day of the week) to perform the exercise routine, and the repetition cycle of the exercise routine according to the user's input.

FIG. 10 is a diagram 1000 for explaining an operation of providing guidance while executing an exercise routine in a wearable electronic device according to an embodiment.

Referring to FIG. 10, when the wearable electronic device 301 (e.g., the wearable electronic device 301 of FIG. 2 and the wearable electronic device 301 of FIG. 3) confirms execution of the exercise routine selected by the user, Guide information 1011 or 1013 may be provided through a display (e.g., the first display 360 in FIG. 3) or/and a speaker (not shown) so that the user can exercise according to the exercise routine.

A system for generating an exercise routine according to an embodiment includes multiple exercise routines performed by the user based on biometric information of the user wearing the wearable electronic device obtained from the sensor module (376 in FIG. 3) of the wearable electronic device. It may include the wearable electronic device (301 in FIG. 2; 301 in FIG. 3) that collects exercise data corresponding to exercise actions and transmits the collected exercise data to an electronic device.

The system according to one embodiment generates the user's exercise routine based on exercise data received from the wearable electronic device, and determines the type of exercise included in the exercise routine, exercise time, and exercise routine according to the user's body information. It may include an electronic device (401 in FIG. 2; 401 in FIG. 4) that recommends changing at least one of the number of exercises, rest time, or number of rests.

In the system according to one embodiment, the wearable electronic device (301 in FIG. 2; 301 in FIG. 3) receives the user's selection to notify the start of exercise, confirms the exercise schedule stored in the wearable electronic device, and performs the following functions: The user's start of exercise may be detected based on at least one of detecting that the device is located in an exercise-related location or detecting the user's repeated performance of the same action.

In the system according to one embodiment, the wearable electronic device (301 in FIG. 2; 301 in FIG. 3) responds to a resting action performed by the user based on the biometric information while collecting the exercise data. Rest data may be collected and the rest data may be transmitted to the electronic device.

In the system according to one embodiment, the electronic device (401 in FIG. 2; 401 in FIG. 4) detects the type of exercise, exercise time, and number of exercises based on the exercise data, and detects the exercise time and number of exercises based on the rest data. Rest time and number of breaks can be detected and the user's exercise routine can be created based on the detected type of exercise, exercise time, number of exercises, rest time, and number of breaks.

In the system according to one embodiment, the electronic device (401 in FIG. 2; 401 in FIG. 4) detects a periodic repetitive movement pattern based on the movement data, and groups based on the periodic repetitive movement pattern. You can perform and classify the types of exercise by grouping using the learning data.

In the system according to one embodiment, the electronic device (401 in FIG. 2; 401 in FIG. 4) visually displays the exercise routine on the display of the electronic device, based on the user's body information. A change in at least one of the types of exercises included in the exercise routine, exercise time, number of exercises, rest time, or number of rests may be recommended.

In the system according to one embodiment, the electronic device (401 in FIG. 2; 401 in FIG. 4) may transmit the exercise routine to the wearable electronic device to display the exercise routine on the display of the wearable electronic device. there is.

In the system according to one embodiment, the electronic device (401 in FIG. 2; 401 in FIG. 4) visually displays the exercise routine on the display of the electronic device while displaying the type of exercise included in the exercise routine. , an editing function may be provided in which at least one of exercise time, number of exercises, rest time, or number of breaks can be changed by the user.

In the system according to one embodiment, the electronic device (401 in FIG. 2; 401 in FIG. 4), when confirming the selection to execute the exercise routine, displays the user's body at the time of selecting execution of the exercise routine. Depending on the information, a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine may be recommended.

In the system according to one embodiment, the electronic device (401 in FIG. 2; 401 in FIG. 4), when confirming the selection to execute the exercise routine, external environment information at the time of selecting execution of the exercise routine Accordingly, a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine may be recommended.

FIG. 11 is a flowchart 1100 for explaining an operation for creating an exercise routine according to an embodiment. Operations for creating an exercise routine may include operations 1101 to 1133. In the following embodiments, each operation may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each operation may be changed, at least two operations may be performed in parallel, or another operation may be added.

In operation 1101, the wearable electronic device 301 (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device 301 of FIG. 3) may detect the start of the user's exercise.

According to one embodiment, the wearable electronic device 301 may detect the user's start of exercise when receiving the user's selection indicating the start of exercise.

According to one embodiment, the wearable electronic device 301 may detect the user's start of exercise when checking the wearable electronic device or the exercise schedule stored in the electronic device.

According to one embodiment, the wearable electronic device 301 may detect the start of the user's exercise when the wearable electronic device 301 is located in an exercise-related place.

According to one embodiment, the wearable electronic device 301 may detect the user's start of exercise when it detects that the user wearing the wearable electronic device 301 repeatedly performs the same action.

In operation 1103, the wearable electronic device 301 (e.g., the wearable electronic device 301 in FIG. 2 and/or the wearable electronic device 301 in FIG. 3) sends information indicating the start of the user's exercise to the electronic device 401. It can be sent to .

According to one embodiment, the wearable electronic device 301 sends information indicating the start of the exercise to the electronic device 401 through a communication module (e.g., the first communication module 390 of FIG. 3) of the wearable electronic device. It can be sent to .

In operation 1105, the electronic device 401 (eg, the electronic device 401 of FIG. 2 and/or the electronic device of FIG. 4) may wait to receive exercise data.

According to one embodiment, when the electronic device 401 receives information indicating the start of exercise from the wearable electronic device 301, it may wait to receive the exercise data.

In operation 1107, the wearable electronic device 301 (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable 301 of FIG. 3) detects the user's exercise behavior, and detects the user's exercise behavior in operation 1109. You can collect exercise data corresponding to .

According to one embodiment, the wearable electronic device 301 monitors the user's exercise behavior based on biometric information acquired through a sensor module (e.g., the first sensor module 376 in FIG. 3) of the wearable electronic device. Detection and biometric information acquired through the sensor module during the exercise activity can be collected as exercise data.

In operation 1111, the wearable electronic device 301 (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable 301 of FIG. 3) may transmit exercise data to the electronic device 401.

According to one embodiment, the wearable electronic device 301 transmits the exercise data to the electronic device 401 through a communication module (e.g., the first communication module 390 in FIG. 3) of the wearable electronic device. You can.

In operation 1113, the electronic device 401 (eg, the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) may record exercise data.

According to one embodiment, the electronic device 401 may record exercise data received from the wearable electronic device.

In operation 1115, the wearable electronic device 301 (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable 301 of FIG. 3) detects the user's resting behavior, and detects the user's resting behavior in operation 1117. Rest data corresponding to can be collected.

According to one embodiment, while collecting exercise data corresponding to the user's exercise behavior, the wearable electronic device 301 collects the same exercise data corresponding to the exercise behavior within a first predetermined period of time (e.g., 30 minutes). If the heart rate of the user detected while performing the exercise action decreases below the threshold, it is detected as a resting action of the user, and the rest includes the resting time and/or number of rests during which the resting action was performed. Data can be collected.

In operation 1119, the wearable electronic device 301 (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable 301 of FIG. 3) may transmit rest data to the electronic device 401.

According to one embodiment, the wearable electronic device 301 may transmit the rest data to the electronic device 401 through a communication module (e.g., the first communication module 390 of FIG. 3) of the wearable electronic device. there is.

In operation 1121, the electronic device 401 (eg, the electronic device 401 of FIG. 2 and/or the electronic device of FIG. 4) may record rest data.

According to one embodiment, the electronic device 401 may record rest data received from the wearable electronic device.

In operation 1123, when the wearable electronic device 301 (e.g., the wearable electronic device 301 in FIG. 2 and/or the wearable 301 in FIG. 3) detects the end of the user's exercise, it provides information notifying the end of the exercise in operation 1125. can be transmitted to the electronic device 401.

According to one embodiment, the wearable electronic device 301 collects the exercise data and transmits the collected exercise data to the electronic device 401 while performing a first schedule for detecting the user's resting behavior. If exercise data is not collected even after time has elapsed, the end of the user's exercise can be detected.

According to one embodiment, the wearable electronic device 301 sends information notifying the end of the exercise to the electronic device 401 through a communication module (e.g., the first communication module 390 of FIG. 3) of the wearable electronic device. ) can be transmitted.

In operation 1127, the electronic device 401 (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) may generate an exercise routine based on exercise data and/or rest data.

According to one embodiment, when the electronic device 401 receives information indicating the end of exercise from the wearable electronic device, exercise data recorded from the time of receiving the information indicating the start of the exercise to the time of indicating the end of the exercise is stored. You can create exercise routines based on this.

According to one embodiment, the electronic device 401 records the exercise type, exercise time for each exercise type, and exercise for each exercise type for a plurality of exercise actions performed by the user wearing the wearable electronic device based on the exercise data. The number of times can be detected, and the user's exercise routine including the detected exercise type, exercise time, and number of exercises can be created.

According to one embodiment, the electronic device 401 processes the exercise data, detects a period in which a periodic repetitive movement pattern occurs, and performs a Principal Component (PCA) function in the period in which the periodic repetitive movement pattern occurs. Features can be detected using predictive discriminant analysis techniques such as Analysis) or LDA (Liner Discriminant Analysis). If the repetitive movement pattern section is not detected for more than a threshold time, the electronic device 401 performs unsupervised machine learning (e.g., K-means, Gaussian Mixture Model (GMM), Hierarchical Agglomerative Clustering (HAC), Clustering of the repetitive movement patterns can be performed using (or DBSCAN, etc.). The electronic device 401 can measure similarity by calculating the coefficient of Pearson Correlation, Euclidian Distance, or Cosine Similarity, and perform grouping by clusters with high similarity. The electronic device 401 can classify exercise types by grouping using a machine learning-based classifier learning model. The electronic device 401 can detect exercise time and exercise number as detailed information for each classified exercise group.

According to one embodiment, the electronic device 401 determines between a plurality of exercise actions performed by the user based on rest data recorded from the time of receiving the information notifying the start of the exercise to the time of notifying the end of the exercise. The user's resting time and number of rests may be detected, and the detected resting time and number of rests may be included in the exercise routine to be generated.

In operation 1129, the electronic device 401 (e.g., the electronic device 401 of FIG. 2 and/or the electronic device of FIG. 4) may transmit an exercise routine to the wearable electronic device 301.

According to one embodiment, the electronic device 401 may transmit the exercise routine to the wearable electronic device 501 through a communication module of the electronic device (e.g., the second communication module 490 in FIG. 4). there is.

In operation 1131, the wearable electronic device 301 (e.g., the wearable electronic device 301 in FIG. 2 and/or the wearable 301 in FIG. 3) may output an exercise routine.

According to one embodiment, when the wearable electronic device 301 receives an exercise routine from the electronic device 401, it displays the exercise routine through the display of the wearable electronic device (e.g., the first display 360 in FIG. 3). You can display exercise routines.

In operation 1133, the electronic device 401 (e.g., the electronic device 401 of FIG. 2 and/or the electronic device of FIG. 4) may provide editing recommendations for exercise routines based on the user's body information.

According to one embodiment, the electronic device 401 displays the type of exercise included in the exercise routine, exercise time, number of exercises, and rest on the display of the electronic device (e.g., the second display 460 of FIG. 4). While visually displaying the time or number of breaks, a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine may be recommended according to the user's body information. For example, the user's physical information may include the user's heart rate, blood pressure, and stress while performing a plurality of exercise activities, and may include the user's current body weight, body fat mass, and skeletal muscle mass.

According to one embodiment, the electronic device 401 displays the type of exercise included in the exercise routine, exercise time, number of exercises, and rest on the display of the electronic device (e.g., the second display 460 of FIG. 4). While visually displaying the time or number of breaks, an editing function that allows the user to change at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine may be additionally provided. .

FIG. 12 is a flowchart 1200 illustrating an operation for creating an exercise routine in a wearable electronic device according to an embodiment. Operations for creating an exercise routine may include operations 1201 to 1217. In the following embodiments, each operation may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each operation may be changed, at least two operations may be performed in parallel, or another operation may be added.

In operation 1201, a wearable electronic device (eg, the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device 301 of FIG. 3) may detect the start of the user's exercise.

According to one embodiment, the wearable electronic device receives the user's selection to notify the start of exercise, confirms the exercise schedule stored in the wearable electronic device, detects that the wearable electronic device is located in an exercise-related place, or detects the user's The user's start of exercise may be detected based on at least one of detecting repeated performance of the same action.

According to one embodiment, the wearable electronic device may transmit information indicating the start of the user's exercise to the electronic device through a communication module (e.g., the first communication module 390 of FIG. 3) of the wearable electronic device. there is.

In operation 1203, when the wearable electronic device (e.g., the wearable electronic device 301 in FIG. 2 and/or the wearable 301 in FIG. 3) detects the user's exercise behavior, in operation 1205, it detects the user's exercise behavior. Exercise data may be collected, and the collected exercise data may be transmitted to an electronic device (eg, the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4).

According to one embodiment, the wearable electronic device detects the user's exercise behavior based on biometric information acquired through a sensor module (e.g., the first sensor module 376 in FIG. 3) of the wearable electronic device, Biometric information acquired through the sensor module during the exercise activity can be collected as exercise data.

According to one embodiment, the wearable electronic device may transmit the exercise data to the electronic device through a communication module (e.g., the first communication module 390 of FIG. 3) of the wearable electronic device.

In operation 1207, when the wearable electronic device (e.g., the wearable electronic device 301 in FIG. 2 and/or the wearable 301 in FIG. 3) detects the user's resting behavior, in operation 1209, it detects the user's resting behavior. Rest data may be collected, and the collected rest data may be transmitted to an electronic device (eg, the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4).

According to one embodiment, while the wearable electronic device is collecting exercise data corresponding to the user's exercise behavior, the same exercise data corresponding to the exercise behavior is not collected within a first certain period of time (e.g., 30 minutes). , when the user's heart rate detected while performing the exercise action decreases below the threshold, it is detected as the user's resting action, and rest data including the resting time and/or number of rests during which the resting action was performed is collected. can do.

According to one embodiment, the wearable electronic device may transmit the rest data to the electronic device through a communication module (eg, the first communication module 390 of FIG. 3) of the wearable electronic device.

In operation 1211, when the wearable electronic device 301 (e.g., the wearable electronic device 301 in FIG. 2 and/or the wearable 301 in FIG. 3) detects the end of the user's exercise, it provides information notifying the end of the exercise in operation 1213. can be transmitted to an electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4).

According to one embodiment, while collecting the exercise data, the wearable electronic device may detect the end of the user's exercise if exercise data is not collected even after a first predetermined period of time for detecting the user's rest behavior has elapsed. .

According to one embodiment, the wearable electronic device may transmit information notifying the end of the exercise to the electronic device through a communication module (e.g., the first communication module 390 of FIG. 3) of the wearable electronic device.

In operation 1215, the wearable electronic device 301 (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable 301 of FIG. 3) is an electronic device (e.g., the electronic device 401 of FIG. 2 and/or Upon receiving the exercise routine generated by the electronic device 401 of FIG. 4, the exercise routine may be output in operation 1217.

According to one embodiment, the wearable electronic device may output the exercise routine received from the electronic device through a display of the wearable electronic device (eg, the first display 360 of FIG. 3).

FIG. 13 is a flowchart 1300 illustrating an operation for creating an exercise routine in an electronic device according to an embodiment. Operations for creating an exercise routine may include operations 1301 to 1319. In the following embodiments, each operation may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each operation may be changed, at least two operations may be performed in parallel, or another operation may be added.

In operation 1301, an electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device of FIG. 4) is connected to a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device of FIG. 3). When information indicating the start of exercise is received from the electronic device 301, the user may wait to receive exercise data in operation 1303.

According to one embodiment, when the electronic device receives information indicating the start of exercise from the wearable electronic device through which communication is connected, the electronic device may wait to receive the exercise data.

In operation 1305, the electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device of FIG. 4) is connected to a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device of FIG. 3). When exercise data is received from the electronic device 301, the received exercise data can be recorded in operation 1307.

According to one embodiment, the electronic device may record exercise data received from a wearable electronic device.

In operation 1309, the electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device of FIG. 4) is connected to a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or the wearable electronic device of FIG. 3). When rest data is received from the electronic device 301, the received rest data may be recorded in operation 1311.

In operation 1313, the electronic device 401 (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) is a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or Alternatively, upon receiving information indicating the end of exercise from the wearable electronic device 301 of FIG. 3, an exercise routine may be created based on exercise data and/or rest data in operation 1315.

According to one embodiment, when the electronic device receives information indicating the end of exercise from the wearable electronic device, the electronic device performs exercise based on exercise data recorded from the time of receiving the information indicating the start of the exercise to the time of indicating the end of the exercise. You can create routines.

According to one embodiment, the electronic device detects the type of exercise, exercise time for each exercise type, and number of exercise times for each exercise type for a plurality of exercise actions performed by the user wearing the wearable electronic device based on the exercise data. And, the user's exercise routine including the detected exercise type, exercise time, and exercise number can be created.

According to one embodiment, the electronic device detects a periodic repetitive exercise pattern based on the exercise data, performs grouping based on the periodic repetitive exercise pattern, and types of exercise for each grouping using learning data. can be classified. The electronic device can detect exercise time and exercise number as detailed information for each classified exercise group.

According to one embodiment, the electronic device, based on rest data recorded from the time of receiving information notifying the start of the exercise to the time of notifying the end of the exercise, allows the user to The rest time and number of breaks may be detected, and the detected rest time and number of breaks may be included in the exercise routine to be generated.

In operation 1317, the electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) transmits the exercise routine to a wearable electronic device (e.g., the wearable electronic device 301 of FIG. 2 and/or It can be transmitted to the wearable electronic device 301 of FIG. 3).

According to one embodiment, the electronic device may transmit the exercise routine to the wearable electronic device 501 through a communication module of the electronic device (e.g., the second communication module 490 of FIG. 4).

In operation 1319, the electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) may provide a recommended edit for an exercise routine based on the user's body information.

According to one embodiment, the electronic device displays the type of exercise included in the exercise routine, exercise time, number of exercises, rest time, or rest time on the display of the electronic device (e.g., the second display 460 of FIG. 4). While visually displaying the number of times, it may be recommended to change at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine according to the user's body information.

According to one embodiment, the electronic device displays the type of exercise included in the exercise routine, exercise time, number of exercises, rest time, or rest time on the display of the electronic device (e.g., the second display 460 of FIG. 4). While visually displaying the number of times, an editing function that allows the user to change at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine may be additionally provided.

FIG. 14 is a flowchart 1400 illustrating an operation for classifying exercise types in an electronic device according to an embodiment. Movements for classifying exercise types may include movements 1401 to 1413. In the following embodiments, each operation may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each operation may be changed, at least two operations may be performed in parallel, or another operation may be added.

In operation 1401, an electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) may detect a periodic repetitive exercise pattern section based on exercise data.

According to one embodiment, the electronic device may detect a periodic repetitive exercise pattern section after pre-processing the exercise data.

In operation 1403, an electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) may detect a feature of a period of a periodic repetitive movement pattern.

According to one embodiment, the electronic device may detect a feature in the period in which the periodic repetitive motion pattern occurs using a predictive discriminant analysis technique such as Principal Component Analysis (PCA) or Liner Discriminant Analysis (LDA). there is.

In operation 1405, the electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) may determine whether non-detection of a repetitive movement pattern section is longer than a threshold time.

In operation 1405, if the non-detection of the repetitive movement pattern section is less than or equal to the threshold time, the electronic device may repeatedly perform operations 1401 to 1403.

In operation 1405, if the non-detection of the repetitive exercise pattern section is greater than or equal to the threshold time, the electronic device may perform clustering of the repetitive exercise patterns in block 1407.

According to one embodiment, the electronic device performs the iterative movement using unsupervised machine learning (e.g., K-means, Gaussian Mixture Model (GMM), Hierarchical Agglomerative Clustering (HAC), or DBSCAN, etc.) Clustering can be performed on patterns.

In operation 1409, an electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) may perform grouping based on similarity.

According to one embodiment, the electronic device may measure similarity by calculating a coefficient of Pearson Correlation, Euclidian Distance, or Cosine Similarity, and perform grouping by clusters with high similarity.

In operation 1411, the electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device 401 of FIG. 4) may classify exercise types by grouping.

According to one embodiment, the electronic device may select a representative pattern for each group and classify exercise types for each grouping using a machine learning-based classifier learning model.

In operation 1413, an electronic device (e.g., the electronic device 401 of FIG. 2 and/or the electronic device of FIG. 4) may detect detailed information for each type of exercise.

According to one embodiment, the electronic device may detect exercise time and exercise number as detailed information for each classified exercise group.

A method for creating an exercise routine according to an embodiment includes using the wearable electronic device (301 in FIG. 2; 301 in FIG. 3), using the wearable electronic device (301 in FIG. 2; 301 in FIG. 3), using the wearable electronic device (301 in FIG. 2; 301 in FIG. 3). The method may include collecting exercise data corresponding to a plurality of exercise actions performed by the user based on biometric information of the user wearing the device and transmitting the collected exercise data to the electronic device.

The method according to one embodiment may include generating, by the electronic device (401 in FIG. 2; 401 in FIG. 4), an exercise routine for the user based on exercise data received from the wearable electronic device. You can.

The method according to one embodiment includes, by the electronic device (401 in FIG. 2; 401 in FIG. 4), the type of exercise, exercise time, number of exercises, and rest included in the exercise routine according to the user's body information. It may include an action recommending a change in at least one of time or number of breaks.

The method according to one embodiment includes receiving a user's selection notifying the start of exercise by the wearable electronic device (301 in FIG. 2; 301 in FIG. 3), confirming the exercise schedule stored in the wearable electronic device, and The method may further include detecting the user's start of exercise based on at least one of detecting that the electronic device is located in an exercise-related location or detecting the user's repeated performance of the same action.

The method according to one embodiment includes, while collecting the exercise data by the wearable electronic device (301 in FIG. 2; 301 in FIG. 3), a resting action performed by the user based on the biometric information. The method may further include collecting corresponding rest data and transmitting the rest data to the electronic device.

The method according to one embodiment includes detecting the type of exercise, exercise time, and number of exercises based on the exercise data by the electronic device (401 in FIG. 2; 401 in FIG. 4), and the rest data. It may further include detecting and determining the rest time and number of breaks based on the user's exercise routine, and generating the user's exercise routine based on the detected type of exercise, exercise time, number of exercises, rest time, and number of breaks.

The method according to one embodiment includes detecting, by the electronic device (401 in FIG. 2; 401 in FIG. 4), a periodic repetitive exercise pattern based on the exercise data, based on the periodic repetitive exercise pattern. It may further include an operation of performing grouping and an operation of classifying the type of exercise for each grouping using learning data.

The method according to one embodiment is based on the user's body information while visually displaying the exercise routine on the display of the electronic device by the electronic device (401 in FIG. 2; 401 in FIG. 4). It may further include recommending a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine.

The method according to one embodiment includes transmitting the exercise routine to the wearable electronic device in order to display the exercise routine on the display of the wearable electronic device by the electronic device (401 in FIG. 2; 401 in FIG. 4). Additional actions may be included.

The method according to one embodiment includes, by the electronic device (401 in FIG. 2; 401 in FIG. 4), the exercise routine included in the exercise routine while visually displaying the exercise routine on the display of the electronic device. It may further include an operation of providing an editing function in which at least one of the type, exercise time, exercise number, rest time, or number of breaks can be changed by the user.

The method according to one embodiment includes, when confirming the selection for execution of the exercise routine by the electronic device (401 in FIG. 2; 401 in FIG. 4), the user's information at the time of selecting execution of the exercise routine. It may further include recommending a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine according to the body information.

The method according to one embodiment includes, when confirming the selection for execution of the exercise routine by the electronic device (401 in FIG. 2; 401 in FIG. 4), the external environment at the time of selecting execution of the exercise routine. Depending on the information, it may further include recommending a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine.

An electronic device according to an embodiment disclosed in this document may be of various types. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to embodiments of this document are not limited to the above-described devices.

An embodiment of this document and the terms used herein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various changes, equivalents, or substitutes for the embodiment. In connection with the description of the drawings, similar reference numbers may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the above items, unless the relevant context clearly indicates otherwise. As used herein, “A or B”, “at least one of A and B”, “at least one of A or B”, “A, B or C”, “at least one of A, B and C”, and “A Each of phrases such as “at least one of , B, or C” may include any one of the items listed together in the corresponding phrase, or any possible combination thereof. Terms such as "first", "second", or "first" or "second" may be used simply to distinguish one component from another, and to refer to those components in other respects (e.g., importance or order) is not limited. One (e.g., first) component is said to be “coupled” or “connected” to another (e.g., second) component, with or without the terms “functionally” or “communicatively.” Where mentioned, it means that any of the components can be connected to the other components directly (e.g. wired), wirelessly, or through a third component.

The term “module” used in one embodiment of this document may include a unit implemented in hardware, software, or firmware, and may be interchangeable with terms such as logic, logic block, component, or circuit, for example. can be used A module may be an integrated part or a minimum unit of the parts or a part thereof that performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

An embodiment of this document is a storage medium (e.g., built-in memory 136 or external memory 138) that can be read by a machine (e.g., electronic device 101 or electronic device 301). It may be implemented as software (e.g., program 140) including one or more instructions stored in . For example, a processor (e.g., processor 520) of a device (e.g., electronic device 301) may call at least one command among one or more commands stored from a storage medium and execute it. This allows the device to be operated to perform at least one function according to the at least one instruction called. The one or more instructions may include code generated by a compiler or code that can be executed by an interpreter. A storage medium that can be read by a device may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain signals (e.g. electromagnetic waves). This term refers to cases where data is stored semi-permanently in the storage medium. There is no distinction between cases where it is temporarily stored.

According to one embodiment, a method according to an embodiment disclosed in this document may be provided and included in a computer program product. Computer program products are commodities and can be traded between sellers and buyers. The computer program product may be distributed in the form of a machine-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play Store ^TM ) or on two user devices (e.g. It can be distributed (e.g. downloaded or uploaded) directly between smart phones) or online. In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily created in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

According to one embodiment, each component (e.g., module or program) of the above-described components may include a single or multiple entities, and some of the multiple entities may be separately placed in other components. . According to one embodiment, one or more of the above-described corresponding components or operations may be omitted, or one or more other components or operations may be added. Alternatively or additionally, multiple components (eg, modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component of the plurality of components prior to the integration. . According to one embodiment, operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or , or one or more other operations may be added.

According to an embodiment of the present disclosure, in a non-volatile storage medium storing instructions, the instructions are set to cause the electronic device to perform at least one operation when executed by the electronic device, and the at least one operation is , by the wearable electronic device, collect exercise data corresponding to a plurality of exercise actions performed by the user based on biometric information of the user wearing the wearable electronic device obtained from a sensor module of the wearable electronic device, and , transmitting the collected exercise data to an electronic device, generating, by the electronic device, an exercise routine for the user based on exercise data received from the wearable electronic device, and, by the electronic device, It may include recommending a change in at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine according to the user's body information.

Claims (20)

In a system for creating an exercise routine,
Collect exercise data corresponding to a plurality of exercise actions performed by the user based on biometric information of the user wearing the wearable electronic device obtained from the sensor module (376 in FIG. 3) of the wearable electronic device, and The wearable electronic device (301 in FIG. 2; 301 in FIG. 3) transmits the collected exercise data to an electronic device; and
Generates an exercise routine for the user based on exercise data received from the wearable electronic device, and selects among the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine according to the user's body information. A system comprising an electronic device (401 in FIG. 2; 401 in FIG. 4) recommending at least one change.
The method of claim 1, wherein the wearable electronic device (301 in FIG. 2; 301 in FIG. 3),
Based on at least one of receiving the user's selection to notify the start of exercise, confirming the exercise schedule stored in the wearable electronic device, detecting that the wearable electronic device is located in an exercise-related location, or detecting the user's repeated performance of the same action. A system for detecting the start of exercise of the user.
The method of claim 1 or 2, wherein the wearable electronic device (301 in FIG. 2; 301 in FIG. 3),
While collecting the exercise data, collect rest data corresponding to a rest action performed by the user based on the biometric information,
A system for transmitting the rest data to the electronic device.
The electronic device according to any one of claims 1 to 3, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4),
Detect the type of exercise, exercise time, and number of exercises based on the exercise data,
Detect and determine rest time and number of breaks based on the rest data,
A system for generating an exercise routine for the user based on the detected type of exercise, exercise time, number of exercises, rest time, and number of rests.
The electronic device according to any one of claims 1 to 4, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4),
A system that detects a periodic repetitive exercise pattern based on the exercise data, performs grouping based on the periodic repetitive exercise pattern, and classifies types of exercise by grouping using learning data. The method of any one of claims 1 to 5, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4),
While visually displaying the exercise routine on the display of the electronic device, changing at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine based on the user's body information. A system that recommends.
The method of any one of claims 1 to 6, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4),
A system for transmitting the exercise routine to a wearable electronic device to display the exercise routine on a display of the wearable electronic device.
The electronic device (401 in FIG. 2; 401 in FIG. 4) according to any one of claims 1 to 7,
While visually displaying the exercise routine on the display of the electronic device,
A system that provides an editing function in which at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine can be changed by the user.
The method of any one of claims 1 to 8, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4),
When confirming the selection for execution of the exercise routine, the type of exercise included in the exercise routine, exercise time, number of exercises, rest time, or number of breaks may be selected according to the user's body information at the time of selecting execution of the exercise routine. A system that recommends at least one change.
The electronic device (401 in FIG. 2; 401 in FIG. 4) according to any one of claims 1 to 9,
When confirming the selection to execute the exercise routine, at least one of the type of exercise included in the exercise routine, exercise time, number of exercises, rest time, or number of breaks according to external environment information at the time of selecting execution of the exercise routine. A system that recommends one change.
In a method for creating an exercise routine,
The wearable electronic device (301 in FIG. 2; 301 in FIG. 3) provides information to the user based on biometric information of the user wearing the wearable electronic device obtained from the sensor module (376 in FIG. 2) of the wearable electronic device. collecting exercise data corresponding to a plurality of exercise actions performed by the user and transmitting the collected exercise data to an electronic device;
Generating, by the electronic device (401 in FIG. 2; 401 in FIG. 4), an exercise routine for the user based on exercise data received from the wearable electronic device; and
At least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine is changed by the electronic device (401 in FIG. 2; 401 in FIG. 4) according to the user's body information. How to include recommended actions.
The method of claim 11, wherein the wearable electronic device (301 in FIG. 2; 301 in FIG. 3)
Based on at least one of receiving the user's selection to notify the start of exercise, confirming the exercise schedule stored in the wearable electronic device, detecting that the wearable electronic device is located in an exercise-related location, or detecting the user's repeated performance of the same action. The method further includes detecting the start of exercise of the user.
The method of claim 11 or 12, wherein the wearable electronic device (301 in FIG. 2; 301 in FIG. 3)
While collecting the exercise data, collecting rest data corresponding to a rest action performed by the user based on the biometric information; and
The method further includes transmitting the rest data to the electronic device.
The method of any one of claims 11 to 13, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4)
detecting the type of exercise, exercise time, and number of exercises based on the exercise data;
An operation of detecting and determining rest time and number of breaks based on the rest data; and
The method further includes generating an exercise routine for the user based on the detected type of exercise, exercise time, number of exercises, rest time, and number of rests.
The method of any one of claims 11 to 14, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4)
detecting a periodic repetitive exercise pattern based on the exercise data;
An operation of performing grouping based on the periodic repetitive movement pattern; and
A method that further includes the operation of classifying types of exercise by grouping using learning data. The method of any one of claims 11 to 15, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4)
While visually displaying the exercise routine on the display of the electronic device, changing at least one of the type of exercise, exercise time, number of exercises, rest time, or number of breaks included in the exercise routine based on the user's body information. How to include more recommended actions.
The method of any one of claims 11 to 16, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4)
The method further includes transmitting the exercise routine to the wearable electronic device to display the exercise routine on a display of the wearable electronic device.
The method of any one of claims 11 to 17, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4)
An editing function that allows the user to change at least one of the type of exercise, exercise time, number of exercises, rest time, or number of rests included in the exercise routine while visually displaying the exercise routine on the display of the electronic device. How to include more actions to provide .
The method of any one of claims 11 to 18, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4)
When confirming the selection for execution of the exercise routine, the type of exercise included in the exercise routine, exercise time, number of exercises, rest time, or number of breaks may be selected according to the user's body information at the time of selecting execution of the exercise routine. How to further include at least one action that recommends a change.
The method of any one of claims 11 to 19, wherein the electronic device (401 in FIG. 2; 401 in FIG. 4)
When confirming the selection to execute the exercise routine, at least one of the type of exercise included in the exercise routine, exercise time, number of exercises, rest time, or number of breaks according to external environment information at the time of selecting execution of the exercise routine. How to further include actions that recommend one change.

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