KR20210136722A - Electronic device and method for determining type of falling accident - Google Patents

Abstract

The present invention provides a method and an electronic device for determining a fall event type based on acceleration data and barometric pressure data of an electronic device. The electronic device includes: an acceleration sensor; a barometric sensor; a memory for storing instructions; and at least one processor electrically connected to the acceleration sensor, the barometric sensor, and the memory. When executing the stored instructions, the at least one processor acquires acceleration data from the acceleration sensor, acquires barometric data from the barometric sensor, determines that a fall event has occurred upon sensing that the barometric data has changed by at least a preset threshold for a certain time and sensing a first impact equal to or greater than a first reference impact value from the acceleration data for the certain time, determines, on the basis of the acceleration data and barometric data acquired for the certain time, the type of fall event that occurred, and determines an injured part of a user on the basis of the determined fall event type.

Description

A method for determining a fall event type of an electronic device and an electronic device thereof

Various embodiments disclosed herein relate to a method of determining a fall event type based on acceleration data and barometric pressure data of an electronic device, and an electronic device thereof.

A fall means 'an unintentional fall of the body to the floor or the ground due to an accident or various causes'. Injuries due to falls have recently been increasing, and as such falls are unpredictable accidents, it is difficult to prevent them in advance and, in many cases, emergency measures for injuries after falls are essential.

Falls can occur at any time in our daily lives, regardless of location or place, and as the elderly who are at high risk for falls are increasing, fall detection technology is classified as an important technology in healthcare technology. Accordingly, a wearable device technology for detecting the occurrence of a user's fall event using various sensors mounted on the wearable device is emerging.

In the case of the conventional wearable device, the user's fall condition can be detected, but the body injured part due to the fall accident cannot be determined. Accordingly, the user cannot know information about injuries caused by the fall accident, and even the person or organization who received emergency rescue calls was able to take appropriate measures according to the accident situation after arriving at the accident site.

In addition, as only falls accompanied by a strong impact above a certain level were detected as fall accidents, there was a problem in that even if injuries caused by accumulated shocks occurred, even if injuries occurred due to accumulated shocks were overlooked, if non-severe falls were repeated.

According to various embodiments disclosed in this document, when the occurrence of a fall event is detected using acceleration data and barometric pressure data obtained from the wearable electronic device, the type of the detected fall event is determined, and information on the injury site according to the determined type It is possible to provide an electronic device that also provides

An electronic device according to an embodiment includes an acceleration sensor, a barometric pressure sensor, a memory storing instructions, and at least one processor electrically connected to the acceleration sensor, the barometric pressure sensor, and the memory, wherein the at least one When the stored instructions are executed, the processor is configured to: obtain acceleration data from the acceleration sensor, obtain barometric pressure data from the barometric pressure sensor, detect that the barometric pressure data changes by more than a preset threshold for a predetermined time, and When a first shock greater than or equal to the first reference shock value is detected from the acceleration data, it is determined that a fall event has occurred, and the type of the fall event that has occurred is determined based on the acceleration data and the atmospheric pressure data obtained for the predetermined time, and , it is possible to determine the user's injury site based on the determined type of the fall event.

According to an embodiment, a method for determining a fall event type of an electronic device includes: acquiring acceleration data from an acceleration sensor of the electronic device; acquiring air pressure data from a barometric pressure sensor of the electronic device; Determining that a fall event has occurred when detecting that data has changed by more than a preset threshold and detecting a first shock equal to or greater than the first reference shock value from the acceleration data for the predetermined period of time, the acceleration acquired for the predetermined time It may include an operation of determining the type of the fall event that has occurred based on data and the air pressure data, and an operation of determining an injury site of the user based on the determined type of the fall event.

The server for storing and analyzing data according to an embodiment collects information on occurrence of a user's fall event from an electronic device, determines and stores the type of the fall event from the collected information, and stores the It is possible to determine the user's injured part based on the type, and transmit the determined user's injured part information to the electronic device.

According to various embodiments disclosed in this document, a type of a fall event occurring to a user may be classified using data obtained from an acceleration sensor and a barometric pressure sensor of the electronic device, and according to the classified fall type, the information can be provided together.

According to various embodiments disclosed in this document, even if a relatively small amount of impact that is not detected as a fall event is detected, it is accumulated and stored in the memory, and by comparing it with a threshold value based on user propensity, injury caused by the accumulation of impact area can be determined.

In addition, various effects directly or indirectly identified through this document may be provided.

1 is a block diagram of an electronic device in a network environment, according to various embodiments of the present disclosure;
2 is an exemplary diagram illustrating a wearable electronic device according to an embodiment.
3 is a flowchart illustrating a method of determining an injury site according to a fall event of an electronic device according to an exemplary embodiment.
4 is a flowchart illustrating a method of determining occurrence of a fall event in an electronic device according to an exemplary embodiment.
5 is a flowchart illustrating a method of determining a fall event type of an electronic device according to an exemplary embodiment.
6 is a graph illustrating barometric pressure data, acceleration SVM data, and U-axis direction acceleration data with respect to time in the second fall type according to an embodiment.
7 is a graph illustrating barometric pressure data, acceleration SVM data, and U-axis direction acceleration data with respect to time in the third fall type according to an embodiment.
8 is a graph illustrating barometric pressure data, acceleration SVM data, and U-axis direction acceleration data with respect to time in the fourth fall type according to an embodiment.
9 is a flowchart illustrating a method of determining an injury site according to a fall event of an electronic device according to an exemplary embodiment.
10 is an exemplary diagram illustrating a relationship between an electronic device and a server when a fall event occurs, according to an embodiment.
11A is an exemplary diagram of outputting a message according to a first fall type on a display in an electronic device according to an embodiment.
11B is an exemplary diagram of outputting a message according to a second fall type on a display in an electronic device according to an embodiment.
12 is an exemplary diagram in which an electronic device outputs a message according to an accumulated impact on a display, according to an embodiment.
13A is an exemplary diagram of outputting a health care guide message on a display in an electronic device according to an exemplary embodiment;
13B is an exemplary diagram in which an electronic device outputs a health care guide message on a display, according to an embodiment.
In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

Hereinafter, various embodiments disclosed in this document will be described with reference to the accompanying drawings. For convenience of description, the sizes of the components shown in the drawings may be exaggerated or reduced, and the present invention is not necessarily limited to the illustrated ones.

1 is a block diagram of an electronic device 101 in a network environment 100 according to various embodiments of the present disclosure.

Referring to FIG. 1 , in a network environment 100 , the electronic device 101 communicates with the electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or a second network 199 . It may communicate with the electronic device 104 or the server 108 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 . According to an embodiment, the electronic device 101 includes a processor 120 , a memory 130 , an input device 150 , a sound output device 155 , a display device 160 , an audio module 170 , and a sensor module ( 176 , interface 177 , haptic module 179 , camera module 180 , power management module 188 , battery 189 , communication module 190 , subscriber identification module 196 , or antenna module 197 . ) may be included. In some embodiments, at least one of these components (eg, the display device 160 or the camera module 180 ) may be omitted or one or more other components may be added to the electronic device 101 . In some embodiments, some of these components may be implemented as a single integrated circuit. For example, the sensor module 176 (eg, a fingerprint sensor, an iris sensor, or an illuminance sensor) may be implemented while being embedded in the display device 160 (eg, a display).

The processor 120, for example, executes software (eg, the program 140) to execute at least one other component (eg, a hardware or software component) of the electronic device 101 connected to the processor 120 . It can control and perform various data processing or operations. According to an embodiment, as at least part of data processing or operation, the processor 120 converts commands or data received from other components (eg, the sensor module 176 or the communication module 190) to the volatile memory 132 . may be loaded into the volatile memory 132 , process commands or data stored in the volatile memory 132 , and store the resulting data in the non-volatile memory 134 . According to an embodiment, the processor 120 includes a main processor 121 (eg, a central processing unit or an application processor), and an auxiliary processor 123 (eg, a graphic processing unit or an image signal processor) that can be operated independently or together with the main processor 121 . , a sensor hub processor, or a communication processor). Additionally or alternatively, the auxiliary processor 123 may be configured to use less power than the main processor 121 or to be specialized for a designated function. The auxiliary processor 123 may be implemented separately from or as a part of the main processor 121 .

The auxiliary processor 123 may be, for example, on behalf of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or when the main processor 121 is active (eg, executing an application). ), together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display device 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states. According to an embodiment, the auxiliary processor 123 (eg, an image signal processor or a communication processor) may be implemented as a part of another functionally related component (eg, the camera module 180 or the communication module 190). have.

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 . The data may include, for example, input data or output data for software (eg, the program 140 ) and instructions related thereto. The memory 130 may include a volatile memory 132 or a 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 an application 146 .

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

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

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

The audio module 170 may convert a sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 170 acquires a sound through the input device 150 , or an external electronic device (eg, a sound output device 155 ) connected directly or wirelessly with the electronic device 101 . The electronic device 102) (eg, a speaker or headphones) may output a sound.

The sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, user state), and generates an electrical signal or data value corresponding to the sensed state. can do. According to an embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, a barometric 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, a humidity sensor, or an illuminance sensor.

The interface 177 may support one or more designated protocols that may be used for the electronic device 101 to directly or wirelessly connect with an external electronic device (eg, the electronic device 102 ). According to an 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 an 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 may convert an electrical signal into a mechanical stimulus (eg, vibration or movement) or an electrical stimulus that the user can perceive through tactile or kinesthetic sense. According to an embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

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

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

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

The communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). It can support establishment and communication through the established communication channel. The communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to an embodiment, the communication module 190 is a wireless communication module 192 (eg, 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 (eg, : It may include a local area network (LAN) communication module, or a power line communication module). Among these communication modules, a corresponding communication module may be a first network 198 (eg, a short-range communication network such as Bluetooth, WiFi direct, or infrared data association (IrDA)) or a second network 199 (eg, a cellular network, the Internet, or It may communicate with an external electronic device via a computer network (eg, a telecommunication network such as a LAN or WAN). These various types of communication modules may be integrated into one component (eg, a single chip) or may be implemented as a plurality of components (eg, multiple chips) separate from each other. The wireless communication module 192 uses subscriber information (eg, 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 may be identified and authenticated.

The antenna module 197 may transmit or receive a signal or power to the outside (eg, an external electronic device). According to an embodiment, the antenna module 197 may include one antenna including a conductor formed on a substrate (eg, a PCB) or a radiator formed of a conductive pattern. According to an embodiment, the antenna module 197 may include a plurality of antennas. 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 connected from the plurality of antennas by, for example, the communication module 190 . can be selected. A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, RFIC) other than the radiator may be additionally formed as a part of the antenna module 197 .

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

According to an embodiment, the command 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 electronic devices 102 and 104 may be the same or a different type of the electronic device 101 . According to an embodiment, all or part of the operations performed by the electronic device 101 may be performed by one or more of the external electronic devices 102 , 104 , or 108 . For example, when the electronic device 101 needs to perform a function or service automatically or in response to a request from a user or other device, the electronic device 101 may perform the function or service itself instead of executing the function or service itself. Alternatively or additionally, one or more external electronic devices may be requested to perform at least a part of the function or the service. The one or more external electronic devices that have received the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and transmit a result of the execution to the electronic device 101 . The electronic device 101 may process the result as it is or additionally and provide it as at least a part of a response to the request. For this purpose, for example, cloud computing, distributed computing, or client-server computing technology may be used.

2 is an exemplary diagram illustrating the wearable electronic device 200 (eg, the electronic device 101 of FIG. 1 ) according to an embodiment.

Referring to FIG. 2 , a wearable electronic device 200 (hereinafter, referred to as an electronic device) according to an embodiment includes an acceleration sensor 210 (eg, the sensor module 176 of FIG. 1 ), and an air pressure sensor 220 (eg, an acceleration sensor 210 ). may include a sensor module 176 of FIG. 1 ), a processor 230 (eg, the processor 120 of FIG. 1 ), and a memory 240 (eg, the memory 130 of FIG. 1 ), and a display 250 (eg, the display device 160 of FIG. 1 ) may be further included.

According to an embodiment, the acceleration sensor 210 may be disposed in an inner space of a housing that forms the exterior of the electronic device 200 . The acceleration sensor 210 according to an embodiment may perform a linear motion corresponding to three axes (eg, an x-axis, a y-axis, and a z-axis) of the electronic device 200 and/or a linear motion corresponding to the three axes of the electronic device 200 . Acceleration information can be sensed. According to an embodiment, the motion sensor, the 6-axis sensor, the impact sensor, or the rotation vector sensor may include an acceleration sensor (and/or a gyro sensor). The acceleration sensor may measure an acceleration or an impact strength of the moving electronic device 200 using the sensed data, and may measure a force (vector) applied to the electronic device 200 . For example, when there is no movement of the electronic device 200 , a value corresponding to the acceleration due to gravity is measured, and when the electronic device 200 moves, a value corresponding to an amount of acceleration change in the corresponding direction may be measured.

According to an embodiment, the barometric pressure sensor 220 may be disposed in an inner space of a housing that forms the exterior of the electronic device 200 . The barometric pressure sensor 220 according to an embodiment may measure the pressure of the surrounding gas (or atmospheric) at the location where the electronic device 200 is located, and use the pressure change of the gas sensed by the barometric pressure sensor 220 . Thus, it is possible to determine a change in the height at which the electronic device 200 is located. For example, when the electronic device 200 is on the ground surface, a value corresponding to 1 atm may be measured, and when the electronic device 200 moves from the ground to a higher place, the measured air pressure value gradually increases from 1 atm. can be lowered

According to an embodiment, the acceleration sensor 210 may be a sensor that measures data corresponding to the movement of the electronic device 200 , and the barometric pressure sensor 220 is data corresponding to an external environmental state of the electronic device 200 . It may be a sensor that measures According to an embodiment, the acceleration data measured by the acceleration sensor 210 and the atmospheric pressure data measured by the barometric pressure sensor 220 are used as data for determining the occurrence of a fall event in the processor 230 of the electronic device 200 . In addition, data measured by various sensors may be used.

The processor 230 according to an embodiment may include a generic processor configured to execute a hardware module or software (eg, an application program). The processor 230 is a hardware configuration including at least one of various sensors provided in the electronic device 200 , a data measurement module, an input/output interface, a module for managing the state or environment of the electronic device 200 , and a communication module An element (function) or a software element (program) can be controlled.

According to an embodiment, the processor 230 may be electrically connected to the acceleration sensor 210 , the barometric pressure sensor 220 , the memory 240 , and the display 250 of the electronic device 200 . As the command stored in the memory 240 is executed, the processor 230 according to an embodiment may obtain acceleration data from the acceleration sensor 210 and may obtain air pressure data from the barometric pressure sensor 220, When it is detected that the atmospheric pressure data has changed by more than a preset threshold value for a certain period of time and a first shock equal to or greater than the first reference shock value is detected from the acceleration data for a certain period of time, it may be determined that a fall event has occurred, and the acceleration acquired for a certain period of time It is possible to determine the type of the generated fall event based on the data and the atmospheric pressure data, and the user's injury site may be determined based on the determined type of the fall event.

According to an embodiment, the memory 240 may store various data used by at least one component (eg, the processor 230 ) of the electronic device 200 . According to an embodiment, the memory 240 may store various data to detect the occurrence of a fall event of the user of the electronic device 200 , determine the type of the detected fall event, or determine an injury site according to the type. For example, the data may include threshold data (barometric pressure data, acceleration data) for determining the occurrence or type of a fall event, and may include acceleration data measured by the acceleration sensor 210 and measured by the barometric pressure sensor 220 . It may include the used barometric pressure data, and may include input data or output data for related software (eg, the program 140 of FIG. 1 ) and related commands. According to an embodiment, the memory 240 may store at least one command for detecting the occurrence of a fall event, determining a type of the detected fall event, and determining an injury site according to the type.

According to an embodiment, the display 250 may be visually exposed on the front surface of the electronic device 200 through an opening or a recess provided in the housing of the electronic device 200 . According to an embodiment, the display 250 may visually provide information to the outside (eg, a user) of the electronic device 200 and display various contents (eg, text, image, video, icon, or symbol). can do. For example, the display 250 may include a display panel, a hologram device, or a projector, and a control circuit (eg, a display driver IC (DDI)) for controlling the corresponding device. According to an embodiment, the display 250 may include a touch circuitry configured to sense a touch or a sensor circuit (eg, a pressure sensor) configured to measure the intensity of a force generated by the touch, and A touch, gesture, proximity, or hovering input using a pen or a part of the user's body may be received. According to an embodiment, at least a portion of the display 250 may be made of a flexible material, and the corresponding area may be bent when a force is applied.

According to an embodiment, the display 250 may provide a circular screen. In various embodiments, the shape of the screen provided by the display 250 is not limited to a circular shape, and may include an oval, a rounded square, and a square having a notch area depending on the type or design of the electronic device 200 . . In this document, for convenience of description, it is assumed that the display 250 has a circular shape, but various modifications are possible.

3 is a flowchart 300 illustrating a method of determining an injury site according to a fall event of an electronic device (eg, the electronic device 101 of FIG. 1 and the wearable electronic device 200 of FIG. 2 ) according to an embodiment; am. The order of the operations shown in the drawings of this specification is for description of an embodiment, and the order may be changed. For example, operations 310 and 320 may be performed in parallel or the order of operations may be changed.

The operation of FIG. 3 may be performed by the electronic device 200 of FIG. 2 . Referring to FIG. 3 , according to an embodiment, the processor 230 of the electronic device 200 obtains acceleration data from the acceleration sensor 210 ( 310 ), and obtains the air pressure data from the barometric pressure sensor ( 220 ). ( 320 ), when it is detected that the atmospheric pressure data has changed by more than a preset threshold value for a certain period of time and an impact (eg, a first impact) greater than the first reference shock value is detected from the acceleration data for a certain period of time, it is determined that a fall event has occurred operation 330, determining a type of a fall event that has occurred based on acceleration data and barometric pressure data acquired for a predetermined time 340, and determining an injury site of the user based on the determined type of fall event (350) can be performed.

The processor 230 according to an embodiment may obtain acceleration data from the acceleration sensor 210 in operation 310 and may obtain air pressure data from the barometric pressure sensor 220 in operation 320 . According to an embodiment, the acceleration sensor 210 and/or the barometric pressure sensor 220 may be set to acquire sensing data every predetermined time (eg, about 10 ms or 20 ms).

According to an embodiment, the acceleration data is sensing data on the motion of the electronic device 200 acquired at regular time intervals from the acceleration sensor 210 , and may include information on the motion of the electronic device 200 . The acceleration data may include acceleration signals for each of a plurality of axes (eg, x-axis, y-axis, and z-axis) sensed by the acceleration sensor 210 , and the processor 230 performs the electronic device based on at least a part of the acceleration data. The motion of 200 can be detected. According to an embodiment, the barometric pressure data is sensing data of the external barometric pressure of the electronic device 200 acquired at regular time intervals from the barometric pressure sensor 220 , and may include information on the height at which the electronic device 200 is located. can According to an embodiment, the processor 230 may detect a change in height of the electronic device 200 based on at least a part of the barometric pressure data.

In operation 330 , the processor 230 according to an embodiment may detect the occurrence of a fall event based on at least some of the acceleration data and the atmospheric pressure data obtained in operations 310 to 320 . The processor 230 may determine that a fall event has occurred when detecting that the atmospheric pressure data has changed by more than a preset threshold value for a predetermined time and detecting a first shock equal to or greater than the first reference shock value from the acceleration data for a predetermined time. According to an embodiment, the first reference impact value may be experimentally calculated. Hereinafter, operation 330 according to an embodiment will be described in detail with reference to FIG. 4 .

4 is a flowchart 400 illustrating a method of determining occurrence of a fall event in the electronic device 200 according to an embodiment.

Referring to FIG. 4 , operation 330 of FIG. 3 is an operation 420 of determining the user's walking situation, an operation 430 of detecting a change in air pressure data for a predetermined time, and an operation of detecting a change in acceleration data for a predetermined time. (440), the operation of determining whether the amount of change of the atmospheric pressure data is greater than a preset threshold value and a first shock equal to or greater than the first reference shock value is detected from the acceleration data (450), and the operation of determining that a fall event has occurred according to the determination of operation 450 (460).

Referring to FIG. 4 , the processor 230 may acquire acceleration data and barometric pressure data in operation 410 (eg, operations 310 and 320 of FIG. 3 ), and may determine the user's walking situation in operation 420 . According to an embodiment, the processor 230 may detect the user's walking situation based on a periodic acceleration signal pattern caused by a ground repulsion force generated during walking. For example, the processor 230 may determine whether the user is walking or running. According to an embodiment, operation 420 may be omitted.

According to an embodiment, the processor 230 may determine the walking environment together with the user's walking situation. The processor 230 may determine in which walking environment the user is walking or running. For example, the walking environment may include slopes (eg, uphill roads, downhill roads), flat areas, and/or bumps. According to an embodiment, when determining the occurrence or type of the fall event, the processor 230 may consider the user's walking situation and information on the walking environment determined in operation 420 together. For example, if the user is running on a bumpy downhill, the probability of a fall event may be higher than that of walking on flat ground, and the probability of a fall type falling forward may be higher.

According to an embodiment, the processor 230 may detect a degree of change in the barometric pressure data for a predetermined time in operation 430 , and detect a change in the acceleration data for a predetermined time in operation 440 . According to an embodiment, the processor 230 may obtain information on the amount of change in the atmospheric pressure data for a predetermined time by using the measured slope information and the peak-to-peak information of the atmospheric pressure data. The processor 230 may obtain acceleration signal vector magnitude (SVM) data from the measured acceleration data, and the acceleration SVM data may include information on the magnitude of the measured 3-axis acceleration data. According to an embodiment, the processor 230 may obtain information on the amount of impact applied to the electronic device 200 using the acceleration SVM data. For example, when the barometric pressure data increases with a steep slope for a predetermined time, it may mean that the height at which the electronic device 200 is located is rapidly lowered, and when the acceleration SVM data instantaneously increases, an impact (or force) may be applied.

According to an embodiment, in operation 450 , the processor 230 may determine whether the amount of change in atmospheric pressure data for a predetermined time sensed in operation 430 is greater than a preset threshold, and based on the acceleration data detected in operation 440 , the first reference It may be determined whether a first impact greater than or equal to the impact value is detected. According to an embodiment, when the processor 230 detects that the atmospheric pressure data has changed by more than a preset threshold value for a predetermined time and detects a first shock equal to or greater than the first reference shock value from the acceleration data for a predetermined time (450-Yes) , it may be determined that a fall event has occurred in operation 460 .

Referring back to FIG. 3 , the processor 230 according to an embodiment may determine the type of the fall event that has occurred in operation 340 . According to an embodiment, the processor 230 may determine the type of the fall event based on acceleration data and barometric pressure data for a predetermined time used in operation 330, that is, acceleration data and barometric data before and after the fall event occurs. . According to an embodiment, when determining the type of a fall event based on the acceleration data and the barometric pressure data, the processor 230 may use a pattern of predefined sensor data according to the fatality level according to the past accumulated fall history.

When a fall event occurs, the user's injury site and degree of injury may be different depending on whether the user fell forward or backward, or fell while holding hands, as well as the magnitude of the generated shock. Accordingly, the processor 230 according to an exemplary embodiment determines the magnitude of the amount of impact received by the user when a fall event occurs, whether the user fell or fell backward, and the hand It is possible to determine the type of fall event by considering whether or not the person fell while pointing. According to an embodiment, the type of the fall event is a first fall type in which the user is unconscious after the fall event occurs, a second fall type in which the user falls forward, and the user puts his/her hand on the ground (or puts his/her hand on the ground after the user falls backwards). It may include at least one of a third fall type (falling backward while in the air) and a fourth fall type in which the user falls backward while placing his or her hand on the ground. According to an embodiment, the third fall type and the fourth fall type are the same as the type in which the user falls backward, but whether the user touches the ground with his or her hand before (or at the same time) directly falling to the ground while the user falls backward. Alternatively, it may be different whether the body touched the ground with a hand after it fell directly to the ground. Hereinafter, a method of determining a fall event as any one of the first fall type to the fourth fall type will be described with reference to FIG. 5 .

5 is a flowchart 500 illustrating a method of determining a fall event type of the electronic device 200 according to an embodiment.

Referring to FIG. 5, operation 340 of FIG. 3 is an operation 502 of determining whether a user's motion is detected for a preset time, an operation 504 of detecting U-axis acceleration data for a predetermined time, and an operation of determining whether the U-axis acceleration data value is An operation of determining whether there is a section in which the atmospheric pressure data is greater than a preset threshold and rising after falling ( 505 ), an operation of analyzing the acceleration data after the first shock ( 507 ), and an impact (eg, a second reference shock value) greater than the second reference shock value and determining whether a second impact) has been detected ( 508 ).

Referring to FIG. 5 , the processor 230 may detect that a fall event has occurred in operation 501 (eg, operation 330 of FIG. 3 ), and a preset time (eg, about 10 seconds) after the fall event occurs in operation 502 . ), it can be determined whether the user's movement is detected. According to an embodiment, the processor 230 may determine whether the user is conscious by detecting whether the user moves based on at least a part of the acceleration data and the barometric pressure data after the fall event occurs. When the user's movement is not detected for more than a preset time (502 - No), in operation 503, the processor 230 may determine the type of the occurred fall event as the first fall type in which the user is unconscious after the fall event occurs. . When the user's movement is detected for a preset time (502 - Yes), in operation 504, the processor 230 determines the opposite direction of gravity from the acceleration data for a predetermined time used in operation 330, that is, the acceleration data before and after the fall event occurs. of acceleration data can be detected. According to an embodiment, the processor 230 may detect the U-axis acceleration data by changing the acceleration data obtained for a predetermined time before and after the fall event into an ENU (east, north, up) coordinate system. According to an embodiment, the U-axis acceleration data may be acceleration data in a direction perpendicular to the ground.

Referring to FIG. 5 , in operation 505 , the processor 230 may determine whether there is a section in which the atmospheric pressure data briefly falls and then abruptly rises during the predetermined time while the U-axis acceleration data has a value greater than a preset threshold. According to an embodiment, when the user falls backward, the electronic device 200 (or the user's hand) may be reflexively and momentarily heard, and accordingly, the atmospheric pressure data value temporarily decreases while the U-axis acceleration data value momentarily decreases. It may have a value greater than the set threshold. Accordingly, when the detected U-axis acceleration data has a value greater than a preset threshold and the section in which the atmospheric pressure data descends and then rises does not exist for the predetermined time period (505 - No), in operation 506, the processor 230 causes a fall The type of event may be determined as a second fall type in which the user falls forward.

According to an embodiment, when the detected U-axis acceleration data has a value greater than a preset threshold and a section in which the atmospheric pressure data descends and then rises exists for the predetermined time period (505 - Yes), the processor 230 performs operation 507 may analyze the acceleration data after the first impact, and in operation 508 it may be determined whether a second impact greater than or equal to a second reference impact value is sensed after the first impact. According to an embodiment, the processor 230 may calculate the amount of impact applied to the electronic device 200 using the acceleration SVM data in operation 508 and determine whether a second impact greater than or equal to a second reference impact value is detected. have. For example, the second impact sensed after the first impact may be an impact received while the user's body first falls to the ground as the user falls backward and then the hand touches the ground. According to an embodiment, the amount of impact (eg, the amount of the second impact) received while the user's hand touched the ground is the amount of impact (eg, the first impact) received while the user's body (or buttocks, waist) fell to the ground. impact amount of the impact), and the second reference impact value that is the reference value may be smaller than the first reference impact value. According to an embodiment, the second reference impact value may be experimentally calculated like the first reference impact value.

According to an embodiment, when a second shock greater than or equal to the second reference shock value is detected after the first shock (508-Yes), in operation 510, the processor 230 determines the type of the fall event that occurred after the user falls backwards. Straw to the ground can be determined as the third fall type. According to an embodiment, if the second impact greater than the second reference impact value is not detected after the first impact (508-No), in operation 509, the processor 230 determines the type of the fall event that occurred when the user puts his or her hand on the ground. It can be determined as the 4th fall type, in which the person falls backwards while being touched. According to an embodiment, in the third fall type in which the user falls backward without putting his or her hand on the ground (or putting his hand in the air), the first fall type is higher than in the fourth fall type in which the user falls backward while placing his or her hand on the ground. The amount of impact caused by the impact may be large and the degree of injury may be severe.

According to an embodiment, the processor 230 may determine the type of the fall event that has occurred as any one of the first fall type to the fourth fall type, and may fall by continuously sensing the barometric pressure data and the acceleration data even after the fall event occurs. A subsequent continuous operation may be determined. For example, when the user falls forward and rolls, the processor 230 may determine the rolling motion as the secondary motion after the second fall type, and analyze the fall type and the secondary motion together to determine the user's injury site. can

Referring back to FIG. 3 , the processor 230 according to an embodiment may determine an injured part of the user in operation 350 based on the type of the fall event determined in operation 340 . According to an embodiment, information on an injury site and degree of injury expected according to a fall event type may be stored in advance in the electronic device 200 , and in operation 350 , the processor 230 determines the occurrence of the fall from among the previously stored information. It is possible to determine the injured part of the user by using the information corresponding to the type of event. For example, information obtained by analyzing various data related to an injury site and degree of injury occurring according to a fall type may be previously stored in the memory 240 of the electronic device 200 . As another example, information obtained by analyzing various data on an injury site and degree of injury occurring according to a fall type may be stored in advance in an external server. In this case, the electronic device 200 may determine the injured part of the user by using information stored in the external server.

For example, if it is determined in operation 340 that the type of the fall event is the first fall type in which the user is unconscious, in operation 350 the processor 230 may determine that the user's head has been severely injured. As another example, if it is determined in operation 340 that the type of the fall event is the second fall type in which the user fell forward, in operation 350 the processor 230 determines that the user has suffered a strong head injury to the wrist and/or knee. can As another example, if it is determined in operation 340 that the type of the fall event is the third fall type in which the user puts his or her hand on the ground after falling backward, in operation 350 the processor 230 may cause a strong injury to the user's waist and/or hip joint. can be judged to have been As another example, if the type of the fall event is determined in operation 340 as the fourth fall type in which the user falls backward while putting his or her hand on the ground, in operation 350, the processor 230 may reduce the user's back and/or hip joint weakness. It can be judged that he suffered an injury and suffered a strong injury to his wrist. However, the injury site according to the above-described fall type is an example, and in addition, it may be determined in various ways according to the accumulation of injury information.

According to an embodiment, the first fall type may be a case in which the user is unconscious after a fall event occurs, and the second to fourth fall types may be a case in which the user is conscious after a fall event occurs . According to an embodiment, in the case of the first fall type in which the user is not conscious, the need to analyze further barometric pressure data, acceleration SVM data, and/or U-axis direction acceleration data may be low. In this case, the processor 230 may send a rescue request to the emergency rescue team on behalf of the unconscious user.

Hereinafter, changes in atmospheric pressure data, acceleration SVM data, and U-axis direction acceleration data in the second to fourth fall types will be described in detail with reference to the accompanying drawings.

6 is a graph illustrating barometric pressure data, acceleration SVM data, and U-axis direction acceleration data with respect to time in a second fall type according to an embodiment.

In FIG. 6 , graph (a) is a barometric pressure data graph in the second fall type, graph (b) is an acceleration SVM data graph in the second fall type, and graph (c) is a U-axis direction acceleration data graph in the second fall type am. Referring to the graph (a) of FIG. 6 , it can be confirmed that the atmospheric pressure data rapidly increased for a predetermined time (or a predetermined section) 610 . According to an embodiment, it may be confirmed that a constant air pressure is maintained before the fall event occurs, and the air pressure rapidly increases as the fall event occurs. Referring to the graph (b) of FIG. 6 , it can be confirmed that a peak 620 has occurred in the acceleration SVM data, and a peak 620 portion of the acceleration SVM data may mean a first impact. . Referring to the graph (c) of FIG. 6 , it can be seen that most of the acceleration data in the U-axis direction have a negative (-) value when a fall event of the second fall type occurs.

7 is a graph illustrating barometric pressure data, acceleration SVM data, and U-axis direction acceleration data with respect to time in the third fall type according to an embodiment.

In FIG. 7 , graph (a) is a barometric pressure data graph in the third fall type, graph (b) is an acceleration SVM data graph in the third fall type, and graph (c) is a U-axis acceleration data graph in the third fall type am. Referring to the graph (a) of FIG. 7 , it can be confirmed that the atmospheric pressure data rapidly increased for a predetermined time (or a predetermined section) 710 . According to an embodiment, it can be confirmed that the air pressure is maintained at a constant level before the fall event occurs, and then the air pressure decreases for a short period of time as the user's hand is raised while the fall event occurs and then rises rapidly again. Referring to the graph (b) of FIG. 7 , ^{a high peak 720 of about 400 mm/s 2} occurs in the acceleration SVM data, and then a low peak 730 of about 200 mm/s ^{2 occurs.} that can be checked The high peak 720 part of the acceleration SVM data may mean the first shock received from the user's hip region, and the low peak 730 part of the acceleration SVM data is generated when the hand touches the ground after the first shock occurs. It may mean a second impact. Referring to the graph (c) of FIG. 7 , when a fall event of the third fall type occurs, most of the acceleration data in the U-axis direction has a negative (-) value, but as the user's body is lifted, the amount temporarily exceeds a certain threshold. It can be seen that a value 740 of (+) is displayed.

8 is a graph illustrating barometric pressure data, acceleration SVM data, and U-axis direction acceleration data with respect to time in the fourth fall type according to an embodiment.

In FIG. 8 , graph (a) is a barometric pressure data graph in the fourth fall type, graph (b) is an acceleration SVM data graph in the fourth fall type, and graph (c) is a U-axis acceleration data graph in the fourth fall type am. Referring to the graph (a) of FIG. 8 , it can be confirmed that the atmospheric pressure data rapidly increases for a predetermined time (or a predetermined section) 810 . According to an embodiment, it can be confirmed that the atmospheric pressure is maintained at a constant level before the fall event occurs, and the air pressure decreases briefly as the user's hand is raised while the fall event occurs and then rapidly rises again. Referring to the graph (b) of FIG. 8 , it can be confirmed that a high peak 820 occurs in the acceleration SVM data, and since the user's hand and body simultaneously touch the ground, a peak does not occur after the high peak occurs. can confirm that it is not. Referring to the graph (c) of FIG. 8 , when a fall event of the fourth fall type occurs, most of the acceleration data in the U-axis direction has a negative (-) value, but as the user's body is lifted, the amount temporarily exceeds a certain threshold. It can be seen that the (+) value (830) is shown.

9 is a flowchart 900 illustrating a method of determining an injured site according to a fall event of the electronic device 200 according to an exemplary embodiment.

According to an embodiment, the processor 230 may acquire acceleration data and barometric pressure data in operation 901 , determine the user's walking situation in operation 902 , and detect a change in atmospheric pressure data for a predetermined time in operation 903 . In operation 904 , a change in acceleration data may be detected for a predetermined time. The processor 230 according to an embodiment may determine whether an amount of change of the atmospheric pressure data is greater than a preset threshold value and an impact (eg, a first impact) greater than a first reference impact value is detected in operation 905 , the condition of operation 905 is satisfied (905-Yes), it may be determined that a fall event has occurred in operation 906 . The processor 230 according to an embodiment may determine the type of the fall event that has occurred in operation 907 , and may determine an injured part of the user in operation 908 .

If it is determined that the condition is not satisfied in operation 905 (905 - NO), the processor 230 according to an embodiment determines whether the amount of change in the atmospheric pressure data is greater than a preset threshold value and the third reference shock value or more in operation 909. It may be determined whether an impact (eg, a third impact) having an intensity lower than a reference impact value is detected. When the condition of operation 909 is satisfied (909-Yes), the processor 230 may store information on the sensed shock in operation 910 in the memory 240 , and the shock accumulated in the memory 240 in operation 911 It may be determined whether the number of is greater than a preset threshold. When the condition of operation 911 is satisfied (911-Yes), the processor 230 may determine whether the sum of the shock amounts accumulated in the memory 240 in operation 912 is greater than a threshold value based on a preset user tendency. . When the condition of operation 912 is satisfied, the processor 230 may determine an injured part of the user according to the accumulated impact in operation 913 .

Operations 901 to 908 of FIG. 9 describe a method of determining a user's injured part due to the currently occurring fall event itself, and operations 909 to 913 indicate that the impact caused by the currently occurring fall event is not strong enough to cause an injury, but weak impacts are applied. It may be a description of a method for determining an injury site that may be accumulated.

Operation 901 of FIG. 9 may correspond to operations 310 and 320 of FIG. 3 , operations 902 to 906 of FIG. 9 may correspond to operation 330 of FIG. 3 , and operation 907 of FIG. 9 may correspond to operations of FIG. 3 . may correspond to 340 , and operation 908 of FIG. 9 may correspond to operation 350 of FIG. 3 . Hereinafter, operations 909 to 913 of FIG. 9 will be described in detail.

According to an embodiment, in operation 909 , the processor 230 may not determine that the fall event of the first impact has occurred, but the impact (eg, the second reference impact value) is smaller than the first reference impact value and greater than the third reference impact value. 3 impact) can be detected. According to an embodiment, when the amount of change of the atmospheric pressure data is greater than a preset threshold and a third shock is detected from the acceleration data, which is smaller than the first reference shock value but greater than the third reference shock value, the user falls and receives a weak shock. can mean In this case, in operation 910 , the processor 230 may store the history information on the sensed impact in the memory 240 to cumulatively manage it. According to an embodiment, when the processor 230 stores the history information for the third impact in the memory 240 , it may divide and store the falling type or store the impact site information according to the type together. For example, the processor 230 may divide and store the fall type due to the third impact using the method of operations 504 to 510 of FIG. History information about the sensed impact may be stored in the memory 240 by dividing it into a type in which the user puts their hand on the ground after falling, and a type in which the user falls backward while putting their hand on the ground.

According to an embodiment, the processor 230 determines whether the number of shocks accumulated in the memory 240 is greater than a preset threshold in operation 911 , and determines the amount of shock accumulated in the memory 240 in operation 912 . It may be determined whether the sum is greater than a preset threshold value based on user tendency. According to an embodiment, when both the conditions of operations 911 and 912 are satisfied, the processor 230 performs an operation 913 according to the accumulated shock based on the information on the impact for each type of fall accumulated and stored in the memory 240 . It is possible to determine the injured part of the user. According to an embodiment, operation 911 may be omitted.

According to an embodiment, the threshold value based on the user tendency may be preset based on the user's profile information and the user's daily life pattern. For example, the user's profile information may include at least one of the user's age information, gender information, height information, weight information, and blood type information, and the daily life pattern may include information about the user's usual activity. . According to an embodiment, even if the same shock is received, the degree of injury may be different depending on the user's propensity, and in consideration of this, a threshold value based on different user propensity may be set for each user. For example, active users may be less prone to fall-impact injuries than inactive users, women may be more vulnerable to fall-impact injuries than men, and fall due to lower bone density and less muscle mass as they age. Injuries from impact can be severe. The information used to obtain the threshold value based on the above-described user tendency is an example, and the present invention is not limited thereto, and various information about the user may be used.

According to an embodiment, the processor 230 may calculate a different activity coefficient c for each user, and may set a threshold value based on the user tendency based on the activity coefficient c. Equation 1 below is an equation for calculating the activity coefficient c.

Referring to Equation 1 above, the activity coefficient c may be calculated using values of duration m, gender s, and age a at which an active movement occurred. According to an embodiment, each of m', s', and a' values obtained by normalizing the active movement duration m, gender s, and age a values within a group are obtained, and these values We can calculate the value of the activity coefficient c by applying a weight to . The above-described formula for calculating the value of the activity coefficient c is an example, and in addition, various information about the user may be further reflected to obtain the activity coefficient c.

10 is an exemplary diagram illustrating a relationship between an electronic device and a server when a fall event occurs, according to an embodiment.

According to an embodiment, the wearable device 1010 (eg, the electronic device 101 of FIG. 1 , the electronic device 200 of FIG. 2 ) generates a user's fall event using an acceleration sensor and a barometric pressure sensor mounted therein. can be determined and the type of fall event can be determined. When it is determined that the fall event has occurred, the wearable device 1010 may transmit related information to the linked external electronic device 1020 ( S1011 ). According to an embodiment, the transmitted related information includes information on a history of occurrence of a fall event (eg, location, date, time) and information used to determine occurrence of a fall event (eg, barometric pressure data, acceleration data). However, the present invention is not limited thereto. According to an embodiment, the related information transmitted to the external electronic device 1020 may be used as data for integrated health management of the user through the healthcare application of the external electronic device 1020 .

According to an embodiment, the external electronic device 1020 may upload the received information and/or processed information of the received information to the external server 1030 (1012), and the external server 1030 may Through data analysis, it is possible to determine the expected injury site and severity of the fall accident history. According to an embodiment, the external server 1030 may request a specialist consultation to the specialized hospital 1040 according to the analyzed result (1013), and when a serious injury is expected to the user (eg, the first fall type) ) may send a rescue request 1014 directly to the rescue team 1050 . According to an embodiment, the external server 1030 may transmit the updated information on the user's status to the rescue team 1050 together. For example, if the user was unconscious and then regained consciousness (ie, movement does not occur for more than a certain period of time) or if the user is conscious and loses consciousness after making a rescue request (ie, movement does not occur) occurs and does not occur for a certain period of time), the external server 1030 may transmit visual information in which the user regains consciousness or visual information in which the user loses consciousness to the rescue team 1050 . According to an embodiment, the analyzed result transmitted by the external server 1030 to the specialized hospital 1040 and/or the rescue team 1050 includes information about the history of the fall event (eg, location, date, time) as well as Information on the expected injury site and the user's usual health state information may also be included, and accordingly, the specialized hospital 1040 and/or the rescue team 1050 may take appropriate measures for the user. According to an embodiment, the result analyzed by the external server 1030 and/or the feedback information received from the specialized hospital 1040 and the rescue team 1050 may be transmitted back to the external electronic device 1020 ( 1012 ), and again It may be transmitted to the wearable device 1010 (1011). The above-described description of FIG. 10 describes a case in which information is transmitted from the external server 1030 to the specialized hospital 1040 and/or the rescue team 1050, but is not limited thereto. The information may be transmitted to the hospital 1040 and/or the rescue team 1050 .

According to an embodiment, the wearable device 1010 (or the processor 230 of the electronic device 200) determines the occurrence of a user's fall event and the type of the fall event using an acceleration sensor and a barometric pressure sensor mounted therein. In this case, information sensed by a sensor mounted on an external wearable device (eg, earphone) may be used together. For example, the wearable device 1010 may use information sensed by an external wearable device worn on the user's head together, and in this case, the accuracy of the fall event type determination by additionally using detailed information about the user's head movement can increase

According to an embodiment of the present disclosure, the processor 230 of the electronic device 200 controls the display 250 to not only information about an injury site and/or emergency action expected according to the currently determined fall type, but also the accumulated fall shock history. Accordingly, information on an expected injury site and/or a health care guide may be output to the user.

11A is an exemplary diagram in which the electronic device 200 outputs a message according to the first fall type to the display 250 according to an embodiment, and FIG. 11B is a second fall in the electronic device 200 according to an embodiment. It is an exemplary diagram of outputting a message according to the type to the display 250 .

Referring to FIG. 11A , when a fall event of the first fall type in which the user is unconscious occurs, the processor 230 may output a message 1110a for contacting an emergency contact network or a rescue team. According to an embodiment, the processor 230 may deliver not only the location information of the user to the rescue team but also the information on the injured part, and may prepare medical equipment according to the injury in advance. For example, the electronic device 200 may be linked with a national organization such as a 119 rescue team, and may directly make a phone call to the rescue team to check the user's condition. For another example, the processor 230 is an external server, the user's personal information (eg, name, blood type, age, gender, height, weight, treatment history), the user's location information, and state information according to the fall (eg: Fall time, degree of fall, degree of injury) information can be delivered, and the external server can comprehensively analyze the received information to remotely determine the user's condition, and take action to quickly receive treatment through the nearest rescue team. can

Referring to FIG. 11B , when a fall event of the second fall type consciously occurs to the user, the processor 230 sends a message 1110b for notifying an injury site (eg, wrist or knee) expected according to the second fall type. ) can be printed. According to an embodiment, the processor 230 may output the self-diagnosis guide information and the first aid method information together, and may recommend a nearby hospital. Message content according to the fall type is an example, and is not limited thereto.

12 is an exemplary diagram in which the electronic device 200 outputs a message according to the accumulated impact on the display 250 according to an embodiment.

Referring to FIG. 12 , according to an embodiment, the processor 230 may output a message 1210 for checking a health state by monitoring a fall history, even if the slight shock received by the user does not lead to an injury. For example, the processor 230 may output not only information about the injury at the time of the occurrence of the fall event, but also a message for delivering information on aftereffects that may occur to the user even after a predetermined period has elapsed after the occurrence of the fall event. As another example, even if the current fall event does not lead to injury, when the sum of the accumulated shocks exceeds a predetermined threshold, a message for confirming the user's health status may be output.

13A and 13B are exemplary diagrams in which the electronic device 200 outputs a health care guide message on the display 250 according to an embodiment.

Referring to FIG. 13A , the processor 230 according to an embodiment may output an automatic notification message 1310a according to a preset schedule based on the user's injury information. For example, a notification message may be provided according to a predetermined schedule according to a user input so that the user can check his/her own state.

Referring to FIG. 13B , the processor 230 according to an embodiment may output a message 1310b for rehabilitation treatment based on the user's injury information. For example, the processor 230 may output content for a good exercise method or stretching to the injured area. As another example, the processor 230 may provide a program for helping the user in rehabilitation activities by connecting with peripheral Internet of Things (IoT) devices. According to an embodiment, the processor 230 may detect the user's activity amount and output a warning message for aftereffects. For example, if the processor 230 detects an activity of climbing stairs after a knee injury due to a fall occurs to the user, a warning message for preventing the aftereffects of the knee injury may be output. As another example, when a user suffers a back injury due to a fall, the processor 230 may detect a left and right balance when the user walks to determine the degree of recovery of the back injury. The contents of the health management guide message output in FIGS. 12 to 13 are an example, and the contents of the health management guide message are not limited thereto, and messages of various contents of the health management guide may be output.

As described above, according to an embodiment, determining the fall event type of an electronic device (eg, the electronic device 101 of FIG. 1 , the electronic device 200 of FIG. 2 , and the wearable device 1010 of FIG. 10 ) The method includes an operation of obtaining acceleration data from an acceleration sensor of the electronic device (eg, operation 310 of FIG. 3 ), an operation of acquiring air pressure data from an air pressure sensor of the electronic device (eg operation 320 of FIG. 3 ), a schedule When it is detected that the atmospheric pressure data has changed by more than a preset threshold value for a period of time and a first shock greater than or equal to the first reference shock value is detected from the acceleration data for the predetermined period of time, determining that a fall event has occurred (eg, FIG. 3 ) operation 330), an operation of determining the type of the occurred fall event based on the acceleration data and the barometric pressure data acquired for the predetermined time (eg, operation 340 of FIG. 3), and the determined type of the fall event It may include an operation (eg, operation 350 of FIG. 3 ) for determining the injured part of the user based on the operation.

According to an embodiment, the determining of the type of the fall event (eg, operation 340 of FIG. 3 ) is based on at least one of the acceleration data and the barometric pressure data after the fall event occurs when the fall event occurs to determine whether or not the user has moved (eg, operation 502 in FIG. 5 ), and if the user's movement is not detected for a preset period of time, determining whether the user's movement is the first fall type (eg, operation 503 in FIG. 5 ) ) may be included.

According to an embodiment, in the operation of determining the type of the fall event (eg, operation 340 in FIG. 3 ), when the user's movement is detected for a preset time, from the acceleration data obtained for the predetermined time, the An operation of detecting acceleration data in a vertical direction (eg, operation 504 in FIG. 5 ) and a section in which the atmospheric pressure data descends and then rises while the detected acceleration data in a vertical direction with the ground has a value greater than a preset value is the constant If it does not exist for a period of time, it may include an operation (eg, operation 506 of FIG. 5 ) of determining the second fall type.

According to an embodiment, in the operation of determining the type of the fall event (eg, operation 340 in FIG. 3 ), when the user's movement is detected for a preset time, from the acceleration data obtained for the predetermined time, the Detecting the acceleration data in the vertical direction (eg, operation 504 in FIG. 5 ), the detected acceleration data in the vertical direction with the ground has a larger value than a preset value, and the section in which the atmospheric pressure data descends and then rises is the constant If it exists for a period of time, an operation of determining whether a second shock equal to or greater than a second reference shock value is detected from the acceleration data for the predetermined period (eg, operations 505, 507, 508 in FIG. 5), the second shock An operation of determining as the third fall type when detected (eg, operation 510 of FIG. 5 ), and an operation of determining as a fourth type of fall when the second impact is not detected (eg, operation 509 of FIG. 5 ) may include.

According to an embodiment, the second impact may be detected after the first impact occurs, and the second reference impact value may be smaller than the first reference impact value.

According to an embodiment, it is detected that the atmospheric pressure data has changed by more than a preset threshold for the predetermined time, and a third shock is detected from the acceleration data for the predetermined time that is less than the first reference shock value and higher than the third reference shock value In this case, the method may further include an operation (eg, operations 909 and 910 of FIG. 9 ) of storing information on the third impact in a memory of the electronic device.

According to an embodiment, when the accumulated amount of impact of the third impact stored in the memory is greater than or equal to a threshold value based on user propensity, the operation of determining the injured part of the user based on the stored information on the third impact (eg : may further include operations 912 and 913 of FIG. 9 .

According to an embodiment, the threshold value based on the user tendency may be set based on at least one of the user's gender information, the user's age information, and the user's activity amount information.

As described above, according to an embodiment, the server that stores and analyzes data (eg, the external server 1030 of FIG. 10 ) may include an electronic device (eg, the electronic device 101 of FIG. 1 , the electronic device of FIG. 2 ). The device 200, the wearable device 1010 of FIG. 10) collects information about the occurrence of a user's fall event, determines and stores the type of the fall event from the collected information, and determines the type of the fall event. Based on the determination of the injured part of the user, the determined information on the injured part of the user may be transmitted to the electronic device.

According to an embodiment, the server may determine the type of the fall event based on the acceleration data and the barometric pressure data obtained from the acceleration sensor and the barometric pressure sensor of the electronic device.

According to an embodiment, the type of the fall event includes a first fall type in which the user is unconscious after the fall event occurs, a second fall type in which the user falls forward, and a hand on the ground after the user falls backward. The straw may include at least one of a third fall type and a fourth fall type in which the user falls backward while putting his or her hand on the ground.

According to an embodiment, the server may transmit the type information of the fall event and information on the user's injured part to the outside.

The electronic device according to various embodiments disclosed in this document may be a device of various types. The electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device. The electronic device according to the embodiment of this document is not limited to the above-described devices.

Various embodiments of this document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates 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 , B, or C" each may include any one of the items listed together in the corresponding one of the phrases, or all possible combinations thereof. Terms such as "first", "second", or "first", "second" may simply be used to distinguish the element from other elements in question, and may refer to elements in other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is "coupled" or "connected" to another (eg, second) component, with or without the terms "functionally" or "communicatively". When referenced, it means that one component can be connected to the other component directly (eg by wire), wirelessly, or through a third component.

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

Various embodiments of the present document are stored in a storage medium (eg, the internal memory 136 or the external memory 138) readable by a machine (eg, the electronic device 101). It may be implemented as software (eg, the program 140) including the above instructions. For example, the processor (eg, the processor 120 ) of the device (eg, the electronic device 101 ) may call at least one of one or more instructions stored from a storage medium and execute it. This makes it possible for the device to be operated to perform at least one function according to the at least one command called. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium 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 a signal (eg, electromagnetic wave), and this term refers to the case where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.

According to an embodiment, the method according to various embodiments disclosed in this document may be provided by being included in a computer program product. Computer program products may be traded between sellers and buyers as commodities. The computer program product is distributed in the form of a machine-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play Store™) or on two user devices (eg, It can be distributed (eg downloaded or uploaded) directly, online between smartphones (eg: smartphones). In the case of online distribution, at least a part of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.

According to various embodiments, each component (eg, a module or a program) of the above-described components may include a singular or a plurality of entities. According to various embodiments, one or more components or operations among the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one 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 among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations are executed in a different order, or omitted. or one or more other operations may be added.

Claims (20)

In an electronic device,
acceleration sensor;
barometric pressure sensor;
a memory in which instructions are stored; and
at least one processor electrically connected to the acceleration sensor, the barometric pressure sensor, and the memory, wherein the at least one processor is configured to:
obtaining acceleration data from the acceleration sensor;
obtaining barometric pressure data from the barometric pressure sensor;
When it is detected that the atmospheric pressure data has changed by more than a preset threshold for a predetermined time and a first shock greater than or equal to the first reference impact value is detected from the acceleration data for the predetermined time, it is determined that a fall event has occurred,
Determining the type of the fall event that occurred based on the acceleration data and the barometric pressure data acquired for the predetermined time,
An electronic device that determines an injured part of the user based on the determined type of the fall event. The method according to claim 1,
The processor is
When the fall event occurs, determining whether the user moves based on at least one of the acceleration data and the barometric pressure data after the fall event occurs,
When the user's movement is not detected for a preset period of time, it is determined as the first fall type. 3. The method according to claim 2,
The processor is
If the user's movement is detected for a preset time, detecting acceleration data in a direction perpendicular to the ground from the acceleration data acquired for the predetermined time,
When the detected acceleration data in a direction perpendicular to the ground has a value greater than a preset value and a section in which the atmospheric pressure data descends and then rises does not exist for the predetermined period of time, it is determined as the second fall type. 3. The method according to claim 2,
The processor is
If the user movement is detected for the preset time, detecting acceleration data in a direction perpendicular to the ground from the acceleration data acquired for the predetermined time,
When the detected acceleration data in a direction perpendicular to the ground has a value greater than a preset value and a section in which the atmospheric pressure data descends and then rises exists for the predetermined time, a second reference impact value from the acceleration data for the predetermined time Determining whether or not the second shock is detected,
When the second impact is sensed, it is determined as a third fall type,
When the second impact is not sensed, the electronic device is determined to be a fourth fall type. 5. The method according to claim 4,
The second impact is sensed after the first impact occurs,
and the second reference impact value is less than the first reference impact value. The method according to claim 1,
The processor is
When it is detected that the atmospheric pressure data has changed by more than the preset threshold value for the predetermined time and a third shock greater than or equal to a third reference impact value less than the first reference impact value is sensed from the acceleration data for the predetermined time, the third An electronic device that stores information about the impact in the memory. 7. The method of claim 6,
The processor is
When the accumulated amount of impact of the third impact stored in the memory is greater than or equal to a threshold value based on a user tendency, the electronic device determines the injured part of the user based on the stored information on the third impact. 8. The method of claim 7,
The threshold value based on the user propensity is,
The electronic device is set based on at least one of the user's gender information, the user's age information, and the user's activity amount information. 8. The method of claim 7,
The electronic device further includes a display,
The processor is
When the accumulated amount of impact of the third impact stored in the memory is greater than or equal to a threshold value based on a user tendency, the electronic device controls the display to display a message about the determined injury site of the user. The method according to claim 1,
The electronic device further includes a display,
The processor is
An electronic device that transmits the determined information on the injured part of the user to the outside, and controls the display to display the transmitted history. A method for determining a fall event type of an electronic device, the method comprising:
acquiring acceleration data from an acceleration sensor of the electronic device;
acquiring barometric pressure data from a barometric pressure sensor of the electronic device;
determining that a fall event has occurred when detecting that the atmospheric pressure data has changed by more than a preset threshold value for a predetermined time and detecting a first shock equal to or greater than a first reference impact value from the acceleration data for a predetermined time;
determining the type of the fall event that has occurred based on the acceleration data and the barometric pressure data acquired for the predetermined time; and
Method comprising the operation of determining an injury site of the user based on the determined type of the fall event. 12. The method of claim 11,
The operation of determining the type of the fall event is,
when the fall event occurs, determining whether the user moves based on at least one of the acceleration data and the barometric pressure data after the fall event occurs; and
and determining as the first fall type when the user's movement is not detected for a preset time. 13. The method of claim 12,
The operation of determining the type of the fall event is,
detecting acceleration data in a direction perpendicular to the ground from the acceleration data acquired for the predetermined time when the user's movement is detected for the preset time; and
When the detected acceleration data in the vertical direction to the ground has a value greater than a preset value and the section in which the atmospheric pressure data descends and then rises does not exist for the predetermined time, determining the second fall type . 13. The method of claim 12,
The operation of determining the type of the fall event is,
detecting acceleration data in a direction perpendicular to the ground from the acceleration data acquired for the predetermined time when the user's movement is detected for the preset time;
When the detected acceleration data in a direction perpendicular to the ground has a value greater than a preset value and a section in which the atmospheric pressure data descends and then rises exists for the predetermined time, a second reference impact value from the acceleration data for the predetermined time Determining whether or not the second impact is detected;
determining a third fall type when the second impact is sensed; and
and determining as a fourth fall type when the second impact is not detected. 15. The method of claim 14,
The second impact is sensed after the first impact occurs,
wherein the second reference impact value is less than the first reference impact value. 12. The method of claim 11,
When it is detected that the atmospheric pressure data has changed by more than the preset threshold value for the predetermined time and a third shock greater than or equal to a third reference impact value less than the first reference impact value is sensed from the acceleration data for the predetermined time, the third The method further comprising the operation of storing information about the impact in a memory of the electronic device. 17. The method of claim 16,
When the accumulated amount of impact of the third impact stored in the memory is greater than or equal to a threshold value based on a user tendency, the method further comprising the operation of determining the injured part of the user based on the stored information on the third impact. 12. The method of claim 11,
The method further comprising transmitting the determined information on the injured part of the user to the outside, and displaying the transmitted history by controlling the display of the electronic device. In a server that stores and analyzes data,
Collect information about the user's fall event from the electronic device,
Determining and storing the type of the fall event from the collected information,
Determining the injury site of the user based on the determined type of the fall event,
A server for transmitting the determined information on the injured part of the user to the electronic device. 20. The method of claim 19,
A server that determines the type of the fall event based on the acceleration data and the atmospheric pressure data obtained from the acceleration sensor and the barometric pressure sensor of the electronic device.

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