Wearable device that acquires signal by movement of user, electronic device that checks movement of user, and operating method thereof

Abstract

According to an embodiment, a wearable device may comprise: a first electrode; a second electrode; a communication circuit; at least one processor; and a memory that stores instructions. When executed by the at least one processor, the instructions may cause the wearable device to perform at least one operation. The at least one operation may include an operation of acquiring a first signal by the movement of a user on the basis of a potential difference between the first electrode and the second electrode while the wearable device is worn on any one ear of the user. The at least one operation may include an operation of identifying an electromyogram (EMG) signal including a high frequency component on the basis of the first signal. The at least one operation may include an operation of transmitting the EMG signal to an electronic device through the communication circuit so that the electronic device executes a function corresponding to the movement. Various other embodiments are also possible.

Description

Wearable device for acquiring signals based on user's movements, electronic device for confirming user's movements, and method for operating the same

[0001] The present disclosure relates to a wearable device for acquiring a signal by a user's movement, an electronic device for confirming a user's movement, and an operating method thereof, according to one embodiment.

[0002] Biosignals include electromyogram (EMG), electroencephalography (EEG), electrocardiogram (ECG), ballistocardiogram (BCG), and photoplethysmogram (PPG). Electronic devices can obtain various information about the state of a living organism by analyzing these biosignals.

[0003] In particular, electromyography is a signal generated by muscle movement and is of high importance among various biosignals.

[0004] The above information may be provided as background art to aid in understanding the present disclosure. No claim or determination is made as to whether any of the above-described matters constitute prior art related to the present disclosure.

[0005] According to one embodiment, a wearable device may include a first electrode, a second electrode, a communication circuit, at least one processor, and a memory storing instructions. The instructions, when executed by the at least one processor, may cause the wearable device to perform at least one operation. The at least one operation may include an operation of obtaining a first signal due to a movement of the user based on a potential difference between the first electrode and the second electrode while the wearable device is worn on one ear of the user. The at least one operation may include an operation of identifying an electromyogram (EMG) signal including a high frequency component based on the first signal. The at least one operation may include an operation of transmitting the EMG signal to an electronic device through the communication circuit so that the electronic device performs a function corresponding to the movement.

[0006] According to one embodiment, a method of operating a wearable device may include an operation of obtaining a first signal due to a movement of a user based on a potential difference between a first electrode and a second electrode of the wearable device while the wearable device is worn on one ear of the user. The method may include an operation of identifying an electromyogram (EMG) signal including a high frequency component based on the first signal. The method may include an operation of transmitting the EMG signal to an electronic device through a communication circuit of the wearable device so that the electronic device executes a function corresponding to the movement.

[0007] According to one embodiment, a storage medium storing computer-readable instructions may cause the instructions, when executed by at least one processor of a wearable device, to cause the wearable device to perform at least one operation. The at least one operation may include: obtaining a first signal due to a movement of the user based on a potential difference between a first electrode and a second electrode of the wearable device while the wearable device is worn on one ear of the user. The at least one operation may include: identifying an electromyogram (EMG) signal including a high frequency component based on the first signal. The at least one operation may include transmitting the EMG signal to an electronic device via a communication circuit of the wearable device so that the electronic device performs a function corresponding to the movement.

[0008] According to one embodiment, an electronic device may include a communication circuit, at least one processor, and a memory storing instructions. The instructions, when executed by the at least one processor, may cause the electronic device to perform at least one operation. The at least one operation may include receiving, through the communication circuit, a signal for identifying a movement of a user from a wearable device. The signal may include a first signal obtained based on a potential difference between a first electrode and a second electrode of the wearable device worn on either ear of the user, or the signal may include a first EMG signal obtained by the wearable device based on the first signal. The at least one operation may include an operation of determining the movement of the user based on a high frequency component identified based on the signal. The at least one operation may include an operation of executing a function of the electronic device corresponding to the movement.

[0009] According to one embodiment, a method of operating an electronic device may include receiving a signal for identifying a movement of a user from a wearable device via a communication circuit of the electronic device. The signal may include a first signal obtained based on a potential difference between a first electrode and a second electrode of the wearable device worn on either ear of the user, or the signal may include a first EMG signal obtained by the wearable device based on the first signal. The method may include an operation of determining the movement of the user based on a high frequency component identified based on the signal. The method may include an operation of executing a function of the electronic device corresponding to the movement.

[0010] A storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor of an electronic device, cause the electronic device to perform at least one operation. The at least one operation may include receiving, through a communication circuit of the electronic device, a signal for identifying a movement of a user from a wearable device. The signal may include a first signal obtained based on a potential difference between a first electrode and a second electrode of the wearable device worn on either ear of the user, or the signal may include a first EMG signal obtained by the wearable device based on the first signal. The at least one operation may include an operation of determining the movement of the user based on a high frequency component identified based on the signal. The at least one operation may include an operation of executing a function of the electronic device corresponding to the movement.

[0011] According to one embodiment, a method of operating an electronic device may include receiving a signal for confirming a movement of a user from a server via a communication circuit of the electronic device. The server may receive a first signal or a first EMG signal from a wearable device. The server may transmit the signal to the electronic device based on the first signal or the first EMG signal. The first signal may be obtained based on a potential difference between a first electrode and a second electrode of the wearable device worn on either ear of the user. The first EMG signal may be obtained based on the first signal. The method may include an operation of determining the movement of the user based on a high frequency component confirmed based on the signal. The method may include an operation of executing a function of the electronic device corresponding to the movement.

[0012] A storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor of an electronic device, cause the electronic device to perform at least one operation. The at least one operation may include receiving, from a server via a communication circuit of the electronic device, a signal for identifying a movement of a user. The server may receive a first signal or a first EMG signal from a wearable device. The server may transmit the signal to the electronic device based on the first signal or the first EMG signal. The first signal may be obtained based on a potential difference between a first electrode and a second electrode of the wearable device worn on either ear of the user. The first EMG signal may be obtained based on the first signal. The at least one operation may include determining the movement of the user based on a high frequency component identified based on the signal. The at least one action may include an action of executing a function of the electronic device corresponding to the movement.

[0013] FIG. 1 is a block diagram of an electronic device within a network environment, according to one embodiment.

[0014] FIG. 2 is a drawing for explaining a system for checking a user's movement according to one embodiment.

[0015] FIG. 3 is a block diagram of a wearable device and an electronic device according to one embodiment.

[0016] Figure 4 is a drawing explaining a data transmission path.

[0017] Figure 5 is a drawing explaining a data transmission path.

[0018] FIG. 6 is a diagram illustrating a first wearable electronic device and a second wearable electronic device according to one embodiment.

[0019] FIG. 7 is a diagram illustrating one ear of a user wearing a wearable electronic device according to one embodiment.

[0020] FIG. 8 is a diagram illustrating a signal generated by a user's movement according to one embodiment.

[0021] FIG. 9 is a diagram illustrating a signal generated by a user's movement according to one embodiment.

[0022] FIG. 10 is a diagram illustrating a signal caused by a user's movement according to one embodiment.

[0023] FIG. 11 is a flowchart of a method of operating a wearable device and an electronic device according to one embodiment.

[0024] FIG. 12 is a flowchart of a method of operating a wearable device and an electronic device according to one embodiment.

[0025] FIG. 13 is a flowchart of a method of operating a wearable device and an electronic device according to one embodiment.

[0026] FIG. 14 is a flowchart of a method of operating a wearable device and an electronic device according to one embodiment.

[0027] FIG. 15 is a flowchart of a method of operating a wearable device, a server, and an electronic device according to one embodiment.

[0028] FIG. 16 is a flowchart of a method of operating a wearable device, a server, and an electronic device according to one embodiment.

[0029] FIG. 17 is a drawing illustrating the operation of an electronic device according to one embodiment.

[0030] FIG. 18 is a drawing illustrating the operation of an electronic device according to one embodiment.

[0031] FIG. 19 is a drawing illustrating the operation of an electronic device according to one embodiment.

[0032] FIG. 1 is a block diagram of an electronic device within a network environment, according to one embodiment.

[0033] Referring to FIG. 1, in a network environment (100), an electronic device (101) may communicate with an electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of an electronic device (104) or a server (108) via a second network (199) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0034] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or an auxiliary processor (123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (121). For example, when the electronic device (101) includes the main processor (121) and the auxiliary processor (123), the auxiliary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a given function. The auxiliary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0035] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, on the electronic device (101) itself where the artificial intelligence model is executed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0036] The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or non-volatile memory (134).

[0037] 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).

[0038] The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0039] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0040] The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) may include, for example, a display, a holographic 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 a force generated by the touch.

[0041] The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can acquire sound through the input module (150), output sound through the sound output module (155), or an external electronic device (e.g., electronic device (102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (101).

[0042] The sensor module (176) can detect the operating status (e.g., power or temperature) of the electronic device (101) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (176) can 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, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0043] The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) with an external electronic device (e.g., the electronic device (102)). In 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.

[0044] The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., 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 (e.g., a headphone connector).

[0045] The haptic module (179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. According to one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0046] The camera module (180) can capture still images and videos. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0047] The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0048] A battery (189) may power at least one component of the electronic device (101). In one embodiment, the battery (189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0049] The communication module (190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., electronic device (102), electronic device (104), or server (108)), and the performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (e.g., 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) may include 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., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device (104) via 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., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (192) can verify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196).

[0050] The wireless communication module (192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for realizing 1eMBB, a loss coverage (e.g., 164 dB or less) for realizing mMTC, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for realizing URLLC.

[0051] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., 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), may be selected from the plurality of antennas, for example, by the communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device via the at least one selected antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (197).

[0052] According to various embodiments, the antenna module (197) may form a mmWave antenna module. In one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high-frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high-frequency band.

[0053] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0054] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed 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) is 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, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion 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 a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In one embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0055] FIG. 2 is a drawing for explaining a system for checking a user's movement according to one embodiment.

[0056] According to one embodiment, referring to FIG. 2, the first wearable device (310) may be worn on one ear of the user. The second wearable device (320) may be worn on the other ear of the user. For example, the first wearable device (310) and the second wearable device (320) may be implemented as a pair of wireless earphones. However, the wearable devices (e.g., 310, 320) may not be earphones. For example, the wearable device (e.g., 310), smart glasses, a smart watch, or a head-mounted display (HMD) device may be implemented. In this case, the wearable device (e.g., 310) may be one device, not one of the pair of devices. For example, the electronic device (200) may be implemented as a smart phone or a tablet PC. There is no limitation on the type of the electronic device (200). The electronic device (200) may be the electronic device (101) of FIG. 1. The electronic device (200) may include at least one of the components of the electronic device (101) of FIG. 1. The first wearable device (310) may include a component corresponding to at least one of the components of the electronic device (101) of FIG. 1. The second wearable device (320) may include a component corresponding to at least one of the components of the electronic device (101) of FIG. 1. For example, a description of at least one of the components of the electronic device (101) of FIG. 1 (e.g., communication module (190), processor (120), memory (130), sensor module (176)) may be applied to at least one component of the first wearable device (310) (e.g., communication circuit, processor, memory, sensor) or at least one component of the second wearable device (320) (e.g., communication circuit, processor, memory, sensor). However, for the convenience of explanation, redundant explanations may be omitted.

[0057] According to one embodiment, the electronic device (200) can identify the user's movement by analyzing a signal (e.g., a signal due to the user's movement, or an electromyogram (EMG) signal acquired based on a signal due to the user's movement) received from the first wearable device (310) while the first wearable device (310) is worn on one of the user's ears. According to one embodiment, the user's movement can include a eating motion, a teeth grinding motion, or a teeth clenching motion.

[0058] According to one embodiment, the electronic device (200) can identify the user's movement by analyzing a signal (e.g., a signal due to the user's movement or an EMG signal obtained based on a signal due to the user's movement) received from the second wearable device (320) while the second wearable device (320) is worn on the user's other ear. The technical features of the present invention can be equally applied to a method in which the electronic device (200) identifies the user's movement by analyzing a signal (e.g., a signal due to the user's movement or an EMG signal obtained based on a signal due to the user's movement) received from the second wearable device (320). However, for convenience of explanation, the present disclosure will focus on a method in which the electronic device (200) identifies the user's movement by analyzing a signal (e.g., a signal due to the user's movement or an EMG signal obtained based on a signal due to the user's movement) received from the first wearable device (310). Accordingly, the first wearable device (310) may be referred to as a wearable device (310).

[0059] According to one embodiment, the electronic device (200) can determine whether the movement of the user identified based on a signal received from the wearable device (310) (e.g., a signal by the user's movement, or an EMG signal acquired based on a signal by the user's movement) corresponds to a movement pre-specified by the electronic device (200). If the electronic device (200) determines that the identified movement of the user matches the specified movement, the electronic device (200) can execute a function of the electronic device (200) corresponding to the specified movement. For example, the function of the electronic device (200) may include a function of sensing or outputting information about the user's sleep state, a function of sensing or outputting information about the movement of the user's jaw, or a function of sensing or outputting information about the user's meal.

[0060] FIG. 3 is a block diagram of a wearable device and an electronic device according to one embodiment.

[0061] According to one embodiment, referring to FIG. 3, the electronic device (200) may include a processor (202) and a memory (203). The processor (202) of the electronic device (200) may be the processor (120) of FIG. 1. The memory (203) of the electronic device (200) may be the memory (130) of FIG. 1.

[0062] According to one embodiment, the processor (202) of the electronic device (200) may be referred to as a controller (202). The operation of the electronic device (200) according to one embodiment may be controlled by the processor (202) of the electronic device (200). When the electronic device (200) performs a specific operation, the electronic device (200) or a component included in the electronic device (200) may be controlled by the processor (202) of the electronic device (200). The processor (202) may be a circuit that performs processing. The electronic device (200) may include one or more processors (202). The operation(s) of the electronic device (200) may be processed by one processor (202). Some of the operations of the electronic device (200) may be processed by some of the processors (202) among the plurality of processors (202), and other of the operations of the electronic device (200) may be processed by other processors (202) among the plurality of processors (202). Hereinafter, even when a plurality of processors (202) are implemented, for convenience of explanation, the terms “operation of the electronic device (200)” or “operation of the processor (202)” will be used. According to one embodiment, the memory (203) may include instructions configured to cause at least one operation. When executed by the processor (202) of the electronic device (200), the instructions may cause the electronic device (200) to perform at least one operation. The electronic device (200) may include one or more memories (203). Hereinafter, “memory (203)” may be one memory (203) or a plurality of memories (203). Instructions may be stored in one memory (203). Some of the instructions may be stored in some of the plurality of memories (203), and other of the instructions may be stored in other of the plurality of memories (203).Hereinafter, even when a plurality of memories (203) are implemented, they will be referred to as “memories (203)” for convenience of explanation. According to one embodiment, in relation to the electronic device (200), a computer-readable storage medium storing instructions configured to cause at least one operation may be proposed.

[0063] According to one embodiment, referring to FIG. 3, the electronic device (200) may include a communication circuit (201) (e.g., a circuit included in the communication module (190) of FIG. 1). The electronic device (200) may include a display (204) (e.g., a display included in the display module (160) of FIG. 1). The electronic device (200) may include a speaker (205) (e.g., a speaker included in the audio output module (155) of FIG. 1). The electronic device (200) may include a sensor (206) (e.g., a sensor included in the sensor module (176) of FIG. 1).

[0064] According to one embodiment, referring to FIG. 3, a wearable device (310) may include a processor (312) and a memory (313). The processor (312) of the wearable device (310) may have a configuration corresponding to the processor (120) of FIG. 1. The memory (313) of the wearable device (310) may have a configuration corresponding to the memory (130) of FIG. 1.

[0065] According to one embodiment, the processor (312) of the wearable device (310) may be referred to as a controller (312). The operation of the wearable device (310) according to one embodiment may be controlled by the processor (312) of the wearable device (310). The wearable device (310) performing a specific operation may be controlled by the processor (312) of the wearable device (310) or a component included in the wearable device (310). The processor (312) may be circuitry that performs processing. The wearable device (310) may include one or more processors (312). The operation(s) of the wearable device (310) may be processed by one processor (312). Some of the operations of the wearable device (310) may be processed by some of the processors (312) among the plurality of processors (312), and other of the operations of the wearable device (310) may be processed by other processors (312) among the plurality of processors (312). Hereinafter, even when a plurality of processors (312) are implemented, for the convenience of explanation, the terms “operations of the wearable device (310)” or “operations of the processor (312)” will be used. According to one embodiment, the memory (313) may include instructions configured to cause at least one operation. When executed by the processor (312) of the wearable device (310), the instructions may cause the wearable device (310) to perform at least one operation. The wearable device (310) may include one or more memories (313). Hereinafter, “memory (313)” may be one memory (313) or multiple memories (313). Instructions may be stored in one memory (313). Some of the instructions may be stored in some of the multiple memories (313), and other of the instructions may be stored in other parts of the multiple memories (313).Hereinafter, even when a plurality of memories (313) are implemented, they will be referred to as "memories (313)" for convenience of explanation. According to one embodiment, in relation to a wearable device (310), a computer-readable storage medium storing instructions configured to cause at least one operation may be proposed.

[0066] According to one embodiment, referring to FIG. 3, the wearable device (310) may include a communication circuit (311) (e.g., a circuit corresponding to the communication module (190) of FIG. 1). The wearable device (310) may include a sensor (317) (e.g., a sensor corresponding to the sensor module (176) of FIG. 1).

[0067] According to one embodiment, referring to FIG. 3, a wearable device (310) may include a first electrode (314) and a second electrode (315). The first electrode (314) and the second electrode (315) may be exposed to the exterior of the wearable device (310) so as to be in contact with a user's body. A processor (312) of the wearable device (310) may be connected to the first electrode (314) and the second electrode (315). For example, the first electrode (314) may be referred to as an active electrode or a measuring electrode. For example, the second electrode (315) may be referred to as a reference electrode or a reference electrode. The wearable device (310) can obtain a signal based on the potential difference between the first electrode (314) (e.g., active electrode) and the second electrode (315) (e.g., reference electrode). For example, the wearable device (310) can obtain a signal based on the potential difference between the first electrode (314) (e.g., active electrode) and the second electrode (315) (e.g., reference electrode) using a differential amplifier. The signal obtained based on the potential difference between the first electrode (314) (e.g., active electrode) and the second electrode (315) (e.g., reference electrode) can include, for example, a component corresponding to an electroencephalogram (EEG) signal corresponding to a user's movement (e.g., high-frequency component), or a component corresponding to a noise signal (e.g., low-frequency component) due to the user's movement. For example, the wearable device (310) can obtain a signal due to the user's movement based on the potential difference between the first electrode (314) (e.g., active electrode) and the second electrode (315) (e.g., reference electrode). The signal obtained based on the potential difference between the first electrode (314) (e.g., active electrode) and the second electrode (315) (e.g., reference electrode) can include a signal due to the user's movement.For example, a signal based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) can be obtained by a movement of a user wearing the wearable device (310) (e.g., movement of the user's chin). The signal obtained based on the potential difference between the first electrode (314) (e.g., active electrode) and the second electrode (315) (e.g., reference electrode) can include a signal due to a movement of a user wearing the wearable device (310) (e.g., movement of the user's chin). For example, the wearable device (310) can obtain a signal due to a movement of the user based on the potential difference between the first electrode (314) and the second electrode (315) while the wearable device (310) is worn on either ear of the user. According to one embodiment, the wearable device (310) may include a ground electrode (316). For example, the ground electrode (316) may be referred to as a ground electrode. The ground electrode (316) may be exposed to the exterior of the wearable device (310) so as to be in contact with a user's body. The processor (312) of the wearable device (310) may be connected to the ground electrode (316). The processor (312) of the wearable device (310) may also include the ground electrode (316) (e.g., an internal electrode of the processor (312)). The wearable device (310) may not include the ground electrode (316). The wearable device (310) can adjust the potential difference between the first electrode (314) and the second electrode (315) using the signal of the ground electrode (316) to obtain a signal by the user's movement.

[0068] Figure 4 is a drawing illustrating a data transmission path. Figure 5 is a drawing illustrating a data transmission path.

[0069] With reference to FIGS. 3, 4, and 5, the data transmission path can be understood. The embodiments of FIGS. 3, 4, and 5 differ only in the data transmission path, and the remaining operations excluding data transmission may be identical or similar.

[0070] FIG. 3 is a diagram illustrating the transmission of data between a wearable device (310) and an electronic device (200). FIG. 4 is a diagram illustrating the transmission of data between a wearable device (310), a server (400), and an electronic device (200). FIG. 5 is a diagram illustrating the transmission of data between a first wearable device (310), a second wearable device (320), and an electronic device (200).

[0071] Referring to FIG. 3, according to one embodiment, a wearable device (310) can transmit a signal to an electronic device (200). The wearable device (310) can transmit a signal to the electronic device (200) using a communication circuit (311). The electronic device (200) can receive a signal from the wearable device (310) using a communication circuit (201).

[0072] Referring to FIG. 4, according to one embodiment, a wearable device (310) can transmit a signal to an electronic device (200). The wearable device (310) can transmit a signal to the electronic device (200) using a communication circuit (e.g., 311). The electronic device (200) can receive a signal from the wearable device (310) using a communication circuit (e.g., 201). According to one embodiment, the wearable device (310) can transmit a signal to a server (400). The wearable device (310) can transmit a signal to the server (400) using a communication circuit (e.g., 311). The server (400) can receive a signal from the wearable device (310). The server (400) can transmit a signal to the electronic device (200). The server (400) can transmit a signal to the electronic device (200) based on a signal provided from the wearable device (310). The electronic device (200) can receive a signal from the server (400) using a communication circuit (e.g., 201). The electronic device (200) can receive a signal transmitted from the server (400) based on a signal provided from the wearable device (310) using a communication circuit (e.g., 201).

[0073] Referring to FIG. 5, according to one embodiment, a first wearable device (310) can transmit a signal to an electronic device (200). The first wearable device (310) can transmit a signal to the electronic device (200) using a communication circuit (e.g., 311). The electronic device (200) can receive a signal from the first wearable device (310) using a communication circuit (e.g., 201). According to one embodiment, a second wearable device (320) can transmit a signal to the electronic device (200) through the first wearable device (310). For example, the second wearable device (320) can transmit a signal to the first wearable device (310). The second wearable device (320) can transmit a signal to the first wearable device (310) using a communication circuit (e.g., 311). The first wearable device (310) can receive a signal from the second wearable device (320). The first wearable device (310) can transmit a signal to the electronic device (200) based on the signal provided from the second wearable device (320). The electronic device (200) can receive the signal transmitted from the first wearable device (310) based on the signal provided from the second wearable device (320) using a communication circuit (e.g., 201). According to one embodiment, the second wearable device (320) may also transmit signals directly to the electronic device (200), such as the first wearable device (310) of FIG. 3.

[0074] FIG. 6 is a diagram illustrating a first wearable electronic device and a second wearable electronic device according to one embodiment.

[0075] FIG. 6 is a drawing illustrating an example of the arrangement of electrodes of a first wearable electronic device (310) and a second wearable electronic device (320). The arrangement of electrodes of the first wearable electronic device (310) and the second wearable electronic device (320) is not limited to the embodiment of FIG. 6.

[0076] Referring to (a) of FIG. 6, according to one embodiment, the first wearable device (310) may include an ear tip (618) and a main body (or body part) (617) coupled with the ear tip (618). The shape of the ear tip (618) is not limited to the embodiment of FIG. 6. The shape of the main body (or body part) (617) is not limited to the embodiment of FIG. 6. For example, the main body (or body part) of the first wearable device (310) may be implemented in a form that wraps around a user's body (e.g., an ear).

[0077] According to one embodiment, the first wearable device (310) may include a first electrode (314), a ground electrode (316), and a second electrode (315). The positions of the first electrode (314), the ground electrode (316), and the second electrode (315) are not limited to the embodiment of FIG. 6. For example, the first electrode (314), the ground electrode (316), and the second electrode (315) may be positioned at the positions described in FIG. 7.

[0078] According to one embodiment, the processor (312) of the first wearable device (310) may be disposed in the main body (617). However, this is an example, and the processor (312) may also be disposed in the ear tip (618).

[0079] According to one embodiment, the first electrode (314) may be disposed on the main body (or body portion) (617). According to one embodiment, the first electrode (314) may include at least one electrode (e.g., a conductor electrode) exposed to the outside so as to be in contact with the user's body. Depending on the implementation, the first electrode (314) may be implemented with a plurality of electrodes. However, the number or shape of the electrodes included in the first electrode (314) may be modified to various numbers and / or shapes that can be understood by those skilled in the art. According to one embodiment, the first electrode (314) may be implemented with silver (Ag). However, this is an example, and the material of the first electrode (314) may not be limited thereto. According to one embodiment, the ground electrode (316) may be disposed on the ear tip (618). According to one embodiment, the ground electrode (316) may be a ground for generating a potential difference. For example, the ground electrode (316) may be exposed on the outside of the ear tip (618) so as to be in contact with the user's body. According to one embodiment, the second electrode (315) may be placed on the main body (617). For example, the second electrode (315) may be exposed on the outside of the main body (617) so as to be in contact with the user's body.

[0080] Referring to (b) of FIG. 6, according to one embodiment, the second wearable device (320) may include an ear tip (628) and a main body (or body part) (627) coupled with the ear tip (628). The shape of the ear tip (628) is not limited to the embodiment of FIG. 6. The shape of the main body (or body part) (627) is not limited to the embodiment of FIG. 6. For example, the main body (or body part) of the second wearable device (320) may be implemented in a form that wraps around the user's body (e.g., ear).

[0081] According to one embodiment, the second wearable device (320) may include a first electrode (324), a ground electrode (326), and a second electrode (325). The positions of the first electrode (324), the ground electrode (326), and the second electrode (325) are not limited to the embodiment of FIG. 6. For example, the first electrode (324), the ground electrode (326), and the second electrode (325) may be positioned at the positions described in FIG. 7.

[0082] According to one embodiment, the processor (e.g., 312) of the second wearable device (320) may be disposed in the main body (627). However, this is an example, and the processor (e.g., 312) of the second wearable device (320) may also be disposed in the ear tip (628).

[0083] According to one embodiment, the first electrode (324) may be disposed on the main body (or body portion) (627). According to one embodiment, the first electrode (324) may include at least one electrode (e.g., a conductor electrode) exposed to the outside so as to be in contact with the user's body. Depending on the implementation, the first electrode (324) may be implemented with a plurality of electrodes. However, the number or shape of the electrodes included in the first electrode (324) may be modified to various numbers and / or shapes that can be understood by those skilled in the art. According to one embodiment, the first electrode (324) may be implemented with silver (Ag). However, this is an example, and the material of the first electrode (324) may not be limited thereto. According to one embodiment, the ground electrode (326) may be disposed on the ear tip (628). According to one embodiment, the ground electrode (326) may be a ground for generating a potential difference. For example, the ground electrode (326) may be exposed on the outside of the ear tip (628) so as to be in contact with the user's body. According to one embodiment, the second electrode (325) may be disposed on the main body (627). For example, the second electrode (325) may be exposed on the outside of the main body (627) so as to be in contact with the user's body.

[0084] FIG. 7 is a diagram illustrating one ear of a user wearing a wearable electronic device according to one embodiment.

[0085] Let us explain Fig. 7 using the first wearable device (310) as an example.

[0086] According to one embodiment, referring to FIG. 7, the first electrode (314) of the wearable device (310) may be positioned at a location corresponding to one of a plurality of parts (e.g., “1”, “2”, “3”, “4”, “5”, “6”, “7”, “8”) of the user’s body (e.g., ear) of FIG. 7. The second electrode (315) of the wearable device (310) may be positioned at a location corresponding to one of a plurality of parts (e.g., “1”, “2”, “3”, “4”, “5”, “6”, “7”, “8”) of the user’s body (e.g., ear) of FIG. 7. The first electrode (314) and the second electrode (315) may be respectively positioned at positions corresponding to the same portion among a plurality of parts (e.g., “1”, “2”, “3”, “4”, “5”, “6”, “7”, “8”) of the user’s body (e.g., ear) of FIG. 7, or may be respectively positioned at positions corresponding to different portions. The first electrode (314) and the second electrode (315) being respectively positioned at positions corresponding to the same portion may mean that the first electrode (314) and the second electrode (315) are positioned nearby. The ground electrode (316), like the first electrode (314) and the second electrode (315), may also be positioned at positions corresponding to one of a plurality of parts (e.g., “1”, “2”, “3”, “4”, “5”, “6”, “7”, “8”) of the user’s body (e.g., ear) of FIG. 7. The ground electrode (316) may also be positioned at a position corresponding to the same part as the first electrode (314) (or the second electrode (315)) or at a position corresponding to a different part among the multiple parts (e.g., “1”, “2”, “3”, “4”, “5”, “6”, “7”, “8”) of the user’s body (e.g., ear) of FIG. 7.

[0087] For example, referring to FIG. 7, the wearable device (310) may be worn on either ear of the user. According to one embodiment, a ground electrode (316) included in the wearable device (310) may be brought into contact with a hole (e.g., “8” in FIG. 7) of either ear of the user. According to one embodiment, a first electrode (314) included in the wearable device (310) may be brought into contact with a concha (e.g., “6” in FIG. 7) of either ear of the user. According to one embodiment, a second electrode (315) included in the wearable device (310) may be brought into contact with a concha (e.g., “6” in FIG. 7) of either ear of the user.

[0088] According to one embodiment, the wearable device (310) can obtain a signal including a component corresponding to an EEG signal, a component corresponding to an EMG signal caused by the user's movement (e.g., a high-frequency component), or a component corresponding to a noise signal caused by the user's movement (e.g., a low-frequency component) based on the potential difference between the first electrode (314) and the second electrode (315) when the wearable device (310) is worn on one ear of the user.

[0089] FIG. 8 is a diagram illustrating a signal generated by a user's movement according to one embodiment.

[0090] Fig. 8 may be a result of a user wearing a wearable device (310) performing a teeth clenching and opening motion.

[0091] Figure 8 (a) is a graph showing the movement of the body (e.g., jaw) of a user wearing a wearable device (310). For example, referring to Figure 8 (a), a user wearing a wearable device (310) can perform a motion of clenching and unclenching teeth from 480 [ns] to 800 [ns].

[0092] Fig. 8(b) is a graph showing a signal obtained based on the potential difference between the first electrode (314) and the second electrode (315). For example, referring to Fig. 8(b), when a user wearing a wearable device (310) performs a motion of clenching and opening his / her teeth, high-frequency components (dotted line portion of Fig. 8(b)) can be observed according to the contraction and relaxation of the user's jaw muscles. Accordingly, based on the detection of high-frequency components, the movement of the user's body (e.g., jaw) can be confirmed.

[0093] Fig. 8 (c) is a graph that shows the signal of Fig. 8 (b) by transforming it (e.g., Fourier transform) and displaying it by frequency component. For example, referring to Fig. 8 (c), as a result of performing a Fourier transform (e.g., short-time Fourier transform (STFT)) on a signal obtained based on the potential difference between the first electrode (314) and the second electrode (315), a high-frequency component (e.g., EMG signal) and / or a low-frequency component (e.g., noise signal) of the signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) can be confirmed. As a result of performing a Fourier transform (e.g., short-time Fourier transform (STFT)) on a signal obtained based on the potential difference between the first electrode (314) and the second electrode (315), a high-frequency component (e.g., EMG signal) (e.g., 20 [Hz] or higher), a mid-frequency component (e.g., brainwave signal) (e.g., 4 to 20 [Hz]), and / or a low-frequency component (e.g., noise signal) (e.g., 4 [Hz] or lower) of the signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) can be confirmed. The high-frequency component, the mid-frequency component, and the low-frequency component may be relatively distinct concepts. At least a part of the high-frequency component may be different from at least a part of the mid-frequency component. At least a part of the mid-frequency component may be different from at least a part of the low-frequency component. The low-frequency component may be different from the high-frequency component. The high-frequency component may include frequency components in a different range than the mid-frequency component or the low-frequency component. The low-frequency component may include frequency components in a different range than the mid-frequency component or the high-frequency component. For example, at least a portion of the high-frequency component may include frequency components in a specified range (e.g., 20 Hz or more) (e.g., 20 Hz or more and 128 Hz or less).For example, if a high frequency component includes a frequency component (e.g., 30 [Hz]) that falls within a specified range (e.g., 20 [Hz] or more) (e.g., 20 [Hz] or more and 128 [Hz] or less), then at least a portion of the high frequency component may include a frequency component within the specified range (e.g., 20 [Hz] or more) (e.g., 20 [Hz] or more and 128 [Hz] or less). For example, at least a portion of the low frequency component may include a frequency component within a specified range (e.g., 4 [Hz] or less) (e.g., 1 [Hz] or more and 4 [Hz] or less). For example, if the low-frequency component includes a frequency component (e.g., 3[Hz]) that falls within a specified range (e.g., 4[Hz] or less) (e.g., 1[Hz] or more and 4[Hz] or less), it can be said that at least part of the low-frequency component includes a frequency component within a specified range (e.g., 4[Hz] or less) (e.g., 1[Hz] or more and 4[Hz] or less).

[0094] FIG. 9 is a diagram illustrating a signal caused by a user's movement according to one embodiment. FIG. 10 is a diagram illustrating a signal caused by a user's movement according to one embodiment.

[0095] For example, FIG. 9 may represent a waveform of a signal acquired based on the potential difference between the first electrode (314) and the second electrode (315) while the user is eating food. That is, FIG. 9 may correspond to a eating motion among the user's movements. For example, based on the fact that a high-frequency component (e.g., the boxed portion of FIG. 9) is confirmed more than a specified number of times over a specified period of time, the user's movements may be determined to include a eating motion.

[0096] For example, FIG. 10 may represent a waveform of a signal acquired based on the potential difference between the first electrode (314) and the second electrode (315) while the user is grinding his or her teeth. That is, FIG. 10 may correspond to a grinding motion or a clenching motion among the user's movements. For example, based on the fact that a high-frequency component (e.g., the boxed portion of FIG. 10) is continuously confirmed for a specified period of time, the user's movement may be determined to include a grinding motion. For example, based on the fact that a high-frequency component (e.g., the boxed portion of FIG. 10) is confirmed while an event corresponding to the user's sleep is confirmed, the user's movement may be determined to include a grinding motion. According to one embodiment, the event corresponding to the user's sleep may be an event that confirms that the user is sleeping based on data confirmed through the sensor (317) of the wearable device (310) and / or data confirmed through the sensor (206) of the electronic device (200). For example, the electronic device (200) can receive data confirmed through the sensor (317) of the wearable device (310) through the communication circuit (201). The electronic device (200) can determine that the user is sleeping based on the data provided from the wearable device (310). For example, the electronic device (200) can determine that the user is sleeping based on the data confirmed through the sensor (206). For example, the electronic device (200) can determine that the user is sleeping based on the data confirmed through the sensor (317) of the wearable device (310) and the data confirmed through the sensor (206) of the electronic device (200).Data identified through the sensor (317) of the wearable device (310) and / or data identified through the sensor (206) of the electronic device (200) may include data on a biosignal identified using a biosensor, data on the movement of the wearable device (310) identified using an acceleration sensor or a gyro sensor, or data on the movement of the user identified using an image sensor. According to one embodiment, an event corresponding to the user's sleep may be an event that identifies a specific time when the probability that the user is sleeping is greater than or equal to a reference value. For example, the electronic device (200) may identify a predetermined sleep time of the user (e.g., from 10 PM to 6 AM). The electronic device (200) may identify an event corresponding to the user's sleep based on whether the current time is included in the predetermined sleep time of the user.

[0097] The descriptions of FIGS. 1 to 10 can be applied to the embodiments described below. When describing the embodiments described below, portions that overlap with the descriptions of FIGS. 1 to 10 may be omitted. Any portions omitted from the descriptions of each drawing or each embodiment can be understood by referring to the descriptions of other drawings or embodiments.

[0098] FIG. 11 is a flowchart of a method of operating a wearable device and an electronic device according to one embodiment. FIG. 11 can be explained with reference to the previously described embodiments and the embodiments described below.

[0099] At least some of the operations of FIG. 11 may be omitted. The order of the operations of FIG. 11 may be changed. Operations other than those of FIG. 11 may be performed before, during, or after the operations of FIG. 11.

[0100] Referring to FIG. 11, in operation 1101, according to one embodiment, the wearable device (310) (e.g., the processor (312)) may obtain a first signal due to the user's movement based on the potential difference between the first electrode (314) and the second electrode (315). The wearable device (310) may obtain the first signal due to the user's movement based on the potential difference between the first electrode (314) and the second electrode (315) while the wearable device (310) is worn on the user's body (e.g., on either ear). According to one embodiment, as described above, the potential difference between the first electrode (314) and the second electrode (315) may also be adjusted using the signal of the ground electrode (316).

[0101] In operation 1103, according to one embodiment, the wearable device (310) (e.g., processor (312)) can identify an EMG signal based on the first signal of operation 1101. The EMG signal can correspond to a high-frequency component included in the first signal. The high-frequency component included in the first signal can be referred to as an EMG signal. The wearable device (310) can identify an EMG signal including a high-frequency component based on the first signal. For example, the wearable device (310) can perform a transformation (e.g., Fourier transform) on the first signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) and identify an EMG signal including a high-frequency component. The range of the high-frequency component can be understood with reference to the description of FIG. 8.

[0102] In operation 1105, according to one embodiment, the wearable device (310) (e.g., processor (312)) may transmit the EMG signal identified in operation 1103 to the electronic device (200). For example, the transmitted EMG signal may be a signal corresponding to the EMG signal (e.g., an EMG signal, or a signal including information about the EMG signal (e.g., number of detections, detection frequency, detection interval)). Based on identifying the EMG signal in operation 1103, the wearable device (310) may transmit a signal corresponding to the EMG signal to the electronic device (200) using the communication circuit (311). The electronic device (200) may receive the EMG signal (e.g., a signal corresponding to the EMG signal) from the wearable device (310) using the communication circuit (201).

[0103] In operation 1107, according to one embodiment, the electronic device (200) (e.g., the processor (202)) may identify a high-frequency component included in the EMG signal (e.g., a signal corresponding to the EMG signal) received from the wearable device (310). Identifying the high-frequency component may include identifying the presence of the high-frequency component or identifying information about the high-frequency component (e.g., the number of detections, the detection frequency, the detection interval). The range of the high-frequency component may be understood with reference to the description of FIG. 8.

[0104] In operation 1109, according to one embodiment, the electronic device (200) (e.g., processor (202)) may determine a user's movement (e.g., eating movement, teeth grinding movement, teeth clenching movement) based on the high-frequency component identified in operation 1107. The electronic device (200) may determine whether the movement corresponding to the high-frequency component identified in operation 1107 corresponds to a pre-designated movement. The electronic device (200) may determine which of the pre-designated movements the high-frequency component identified in operation 1107 corresponds to. The electronic device (200) may determine that the user's movement includes a specific movement based on whether the high-frequency component identified in operation 1107 satisfies a condition corresponding to a specific movement. For example, the condition corresponding to a specific movement may be as follows. For example, the electronic device (200) may determine that the user's movement includes a eating movement based on the fact that the high frequency component of the 1107 movement is confirmed a specified number of times over a specified period of time. For example, the electronic device (200) may determine that the user's movement includes a clenching movement based on the fact that the high frequency component of the 1107 movement is continuously confirmed over a specified period of time. For example, the electronic device (200) may determine that the user's movement includes a bruxing movement based on the fact that the high frequency component of the 1107 movement is confirmed while an event corresponding to the user's sleep is confirmed. According to one embodiment, the event corresponding to the user's sleep may be an event that confirms that the user is sleeping based on data confirmed through the sensor (317) of the wearable device (310) and / or data confirmed through the sensor (206) of the electronic device (200). According to one embodiment, the event corresponding to the user's sleep may be an event that confirms that a specific time period is when the probability that the user is sleeping is greater than or equal to a reference value.Events corresponding to the user's sleep have been previously discussed.

[0105] In operation 1111, according to one embodiment, the electronic device (200) (e.g., processor (202)) may execute a function corresponding to the user's movement based on the user's movement identified in operation 1109. For example, the electronic device (200) may execute a first function corresponding to the eating motion based on determining the user's movement as a eating motion. The first function may be described with reference to FIG. 17, which will be described later. For example, the electronic device (200) may execute a second function corresponding to the teeth grinding motion based on determining the user's movement as a teeth grinding motion. The second function may be described with reference to FIG. 18, which will be described later. For example, the electronic device (200) may execute a third function corresponding to the teeth grinding motion based on determining the user's movement as a teeth clenching motion. The third function may be described with reference to FIG. 19, which will be described later.

[0106] FIG. 12 is a flowchart of a method of operating a wearable device and an electronic device according to one embodiment. FIG. 12 can be explained with reference to the previously described embodiments and the embodiments described below.

[0107] At least some of the operations of FIG. 12 may be omitted. The order of the operations of FIG. 12 may be changed. Operations other than those of FIG. 12 may be performed before, during, or after the operations of FIG. 12.

[0108] Referring to FIG. 12, in operation 1201, according to one embodiment, the wearable device (310) (e.g., processor (312)) may obtain a first signal due to the user's movement based on the potential difference between the first electrode (314) and the second electrode (315). Operation 1201 may be the same as or similar to operation 1101 of FIG. 11. Duplicate descriptions will be omitted.

[0109] In operation 1203, according to one embodiment, the wearable device (310) (e.g., processor (312)) may determine an EMG signal based on the first signal of operation 1101. Operation 1203 may be identical to or similar to operation 1103 of FIG. 11. Duplicate descriptions will be omitted.

[0110] In operation 1205, according to one embodiment, the wearable device (310) (e.g., processor (312)) may transmit the EMG signal identified in operation 1203 to the electronic device (200). Operation 1205 may be the same as or similar to operation 1105 of FIG. 11. Duplicate descriptions will be omitted.

[0111] In operation 1207, according to one embodiment, the electronic device (200) (e.g., the processor (202)) may identify a high-frequency component included in the EMG signal (e.g., a signal corresponding to the EMG signal) received from the wearable device (310). The range of the high-frequency component may be understood with reference to the description of FIG. 8. Operation 1207 may be the same as or similar to operation 1107 of FIG. 11. Duplicate descriptions will be omitted.

[0112] In operation 1209, according to one embodiment, the wearable device (310) (e.g., processor (312)) may identify a noise signal based on the first signal of operation 1101. The noise signal may correspond to a low-frequency component included in the first signal. The low-frequency component included in the first signal may be referred to as a noise signal. The wearable device (310) may identify a noise signal including a low-frequency component based on the first signal. For example, the wearable device (310) may perform a transformation (e.g., Fourier transform) on the first signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) and identify a noise signal including a low-frequency component. The range of the low-frequency component may be understood with reference to the description of FIG. 8.

[0113] In operation 1211, according to one embodiment, the wearable device (310) (e.g., processor (312)) may transmit the noise signal identified in operation 1209 to the electronic device (200). For example, the transmitted noise signal may be a signal corresponding to the noise signal (e.g., a noise signal, or a signal including information about the noise signal (e.g., number of detections, detection frequency, detection interval)). Based on identifying the noise signal in operation 1209, the wearable device (310) may transmit a signal corresponding to the noise signal to the electronic device (200) using the communication circuit (311). The electronic device (200) may receive the noise signal (e.g., a signal corresponding to the noise signal) from the wearable device (310) using the communication circuit (201).

[0114] In operation 1213, according to one embodiment, the electronic device (200) (e.g., the processor (202)) may identify a low-frequency component included in a noise signal (e.g., a signal corresponding to the noise signal) received from the wearable device (310). Identifying the low-frequency component may include identifying the presence of the low-frequency component or identifying information about the low-frequency component (e.g., the number of detections, the detection frequency, the detection interval). The range of the low-frequency component may be understood with reference to the description of FIG. 8.

[0115] In one embodiment, operations 1205 and 1211 may be one operation. For example, the electronic device (200) may transmit one signal including an EMG signal identified in operation 1203 (e.g., a signal corresponding to the EMG signal of operation 1205) and a noise signal identified in operation 1209 (e.g., a signal corresponding to the noise signal) to the electronic device (200) using the communication circuit (311). The electronic device (200) may receive one signal including an EMG signal identified in operation 1203 (e.g., a signal corresponding to the EMG signal of operation 1205) and a noise signal identified in operation 1209 (e.g., a signal corresponding to the noise signal) from the wearable device (310) using the communication circuit (201). In this case, operations 1207 and 1213 may be understood as one operation.

[0116] In operation 1215, according to one embodiment, the electronic device (200) (e.g., the processor (202)) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the high-frequency component identified in operation 1207 and the low-frequency component identified in operation 1213. The electronic device (200) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the high-frequency component identified in operation 1207 by using the low-frequency component identified in operation 1213 as a reference. For example, the electronic device (200) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) by comparing the low-frequency component and the high-frequency component. For example, the electronic device (200) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) by correcting the high-frequency component to a low-frequency component. For example, the electronic device (200) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the low-frequency component satisfying a specified first condition and the high-frequency component satisfying a specified second condition (e.g., the condition described in operation 1109). For example, the electronic device (200) can determine that the user's movement includes the eating motion based on the high-frequency component being confirmed a specified number of times or more during a specified period of time using the low-frequency component as a reference. For example, the electronic device (200) can determine that the user's movement includes the teeth clenching motion based on the high-frequency component being confirmed continuously during a specified period of time using the low-frequency component as a reference. For example, the electronic device (200) may determine that the user's movement includes a teeth grinding motion based on identifying the high-frequency component using the low-frequency component as a reference while an event corresponding to the user's sleep is identified.In one embodiment, the event corresponding to the user's sleep may be an event that confirms that the user is sleeping based on data confirmed through the sensor (317) of the wearable device (310) and / or data confirmed through the sensor (206) of the electronic device (200). In one embodiment, the event corresponding to the user's sleep may be an event that confirms that a specific time period is when the probability that the user is sleeping is greater than or equal to a reference value. The event corresponding to the user's sleep has been described above.

[0117] In operation 1217, according to one embodiment, the electronic device (200) (e.g., the processor (202)) may execute a function corresponding to the user's movement based on the user's movement identified in operation 1215. For example, the electronic device (200) may execute a first function corresponding to the eating motion based on determining the user's movement as a eating motion. The first function may be described with reference to FIG. 17, which will be described later. For example, the electronic device (200) may execute a second function corresponding to the teeth grinding motion based on determining the user's movement as a teeth grinding motion. The second function may be described with reference to FIG. 18, which will be described later. For example, the electronic device (200) may execute a third function corresponding to the teeth grinding motion based on determining the user's movement as a teeth clenching motion. The third function may be described with reference to FIG. 19, which will be described later.

[0118] FIG. 13 is a flowchart of a method of operating a wearable device and an electronic device according to one embodiment. FIG. 13 can be explained with reference to the previously described embodiments and the embodiments described below.

[0119] At least some of the operations of FIG. 13 may be omitted. The order of the operations of FIG. 13 may be changed. Operations other than those of FIG. 13 may be performed before, during, or after the operations of FIG. 13.

[0120] Referring to FIG. 13, in operation 1301, according to one embodiment, the wearable device (310) (e.g., processor (312)) may obtain a first signal due to the user's movement based on the potential difference between the first electrode (314) and the second electrode (315). Operation 1301 may be the same as or similar to operation 1101 of FIG. 11. Duplicate descriptions will be omitted.

[0121] In operation 1303, according to one embodiment, the wearable device (310) (e.g., processor (312)) may transmit the first signal identified in operation 1301 to the electronic device (200). For example, the transmitted first signal may be a signal corresponding to the first signal (e.g., the first signal, or a signal including information about the first signal (e.g., frequency, amplitude, waveform)). Based on identifying the first signal in operation 1301, the wearable device (310) may transmit the signal corresponding to the first signal to the electronic device (200) using the communication circuit (311). The electronic device (200) may receive the first signal (e.g., the signal corresponding to the first signal) of operation 1301 from the wearable device (310) using the communication circuit (201).

[0122] In operation 1305, according to one embodiment, the electronic device (200) (e.g., the processor (202)) may identify an EMG signal including a high-frequency component based on the first signal of operation 1303 (e.g., a signal corresponding to the first signal). For example, the electronic device (200) may perform a transformation (e.g., a Fourier transform) on the first signal of operation 1303 and identify a high-frequency component (or an EMG signal including a high-frequency component). Identifying the high-frequency component may include identifying the presence of the high-frequency component or identifying information about the high-frequency component (e.g., the number of detections, the detection frequency, the detection interval). The range of the high-frequency component may be understood with reference to the description of FIG. 8.

[0123] In operation 1307, according to one embodiment, the electronic device (200) (e.g., processor (202)) may determine the user's movement (e.g., eating movement, teeth grinding movement, teeth clenching movement) based on the high-frequency components identified in operation 1307. Operation 1307 may be the same as or similar to operation 1109 of FIG. 11. Therefore, a description of the operation of determining the user's movement (e.g., eating movement, teeth grinding movement, teeth clenching movement) based on the high-frequency components will be omitted.

[0124] In operation 1309, according to one embodiment, the electronic device (200) (e.g., processor (202)) may execute a function corresponding to the user's movement based on the user's movement identified in operation 1307. For example, the electronic device (200) may execute a first function corresponding to the eating motion based on determining the user's movement as a eating motion. The first function may be described with reference to FIG. 17, which will be described later. For example, the electronic device (200) may execute a second function corresponding to the teeth grinding motion based on determining the user's movement as a teeth grinding motion. The second function may be described with reference to FIG. 18, which will be described later. For example, the electronic device (200) may execute a third function corresponding to the teeth grinding motion based on determining the user's movement as a teeth clenching motion. The third function may be described with reference to FIG. 19, which will be described later.

[0125] FIG. 14 is a flowchart of a method of operating a wearable device and an electronic device according to one embodiment. FIG. 14 can be explained with reference to the previously described embodiments and the embodiments described below.

[0126] At least some of the operations of FIG. 14 may be omitted. The order of the operations of FIG. 14 may be changed. Operations other than those of FIG. 14 may be performed before, during, or after the operations of FIG. 14.

[0127] Referring to FIG. 14, in operation 1401, according to one embodiment, the wearable device (310) (e.g., processor (312)) may obtain a first signal due to the user's movement based on the potential difference between the first electrode (314) and the second electrode (315). Operation 1401 may be the same as or similar to operation 1301 of FIG. 13. Duplicate descriptions will be omitted.

[0128] In operation 1403, according to one embodiment, the wearable device (310) (e.g., processor (312)) may transmit the first signal identified in operation 1401 to the electronic device (200). Operation 1403 may be identical to or similar to operation 1303 of FIG. 13. Duplicate descriptions will be omitted.

[0129] In operation 1405, according to one embodiment, the electronic device (200) (e.g., processor (202)) may identify an EMG signal including a high-frequency component based on the first signal of operation 1403 (e.g., a signal corresponding to the first signal). The range of the high-frequency component may be understood with reference to the description of FIG. 8. Operation 1405 may be identical to or similar to operation 1305 of FIG. 13. Duplicate descriptions will be omitted.

[0130] In operation 1407, according to one embodiment, the electronic device (200) (e.g., the processor (202)) may identify a noise signal including a low-frequency component based on the first signal of operation 1403 (e.g., a signal corresponding to the first signal). For example, the electronic device (200) may perform a transformation (e.g., a Fourier transform) on the first signal of operation 1403 and identify a low-frequency component (or a noise signal including a low-frequency component). Identifying the low-frequency component may include identifying the presence of the low-frequency component or identifying information about the low-frequency component (e.g., the number of detections, the detection frequency, the detection interval). The range of the low-frequency component may be understood with reference to the description of FIG. 8.

[0131] In operation 1409, according to one embodiment, the electronic device (200) (e.g., processor (202)) may determine the user's movement (e.g., eating movement, teeth grinding movement, teeth clenching movement) based on the high-frequency component identified in operation 1405 and the low-frequency component identified in operation 1407. Operation 1409 may be the same as or similar to operation 1215 of FIG. 12. Duplicate descriptions will be omitted.

[0132] In operation 1411, according to one embodiment, the electronic device (200) (e.g., the processor (202)) may execute a function corresponding to the user's movement based on the user's movement identified in operation 1409. For example, the electronic device (200) may execute a first function corresponding to the eating motion based on determining the user's movement as a eating motion. The first function may be described with reference to FIG. 17, which will be described later. For example, the electronic device (200) may execute a second function corresponding to the teeth grinding motion based on determining the user's movement as a teeth grinding motion. The second function may be described with reference to FIG. 18, which will be described later. For example, the electronic device (200) may execute a third function corresponding to the teeth grinding motion based on determining the user's movement as a teeth clenching motion. The third function may be described with reference to FIG. 19, which will be described later.

[0133] FIG. 15 is a flowchart illustrating a method of operating a wearable device, a server, and an electronic device according to one embodiment. FIG. 16 is a flowchart illustrating a method of operating a wearable device, a server, and an electronic device according to one embodiment. FIGS. 15 and 16 can be described with reference to the previously described embodiments and the embodiments described below.

[0134] At least some of the operations of FIGS. 15 and 16 may be omitted. The order of the operations of FIGS. 15 and 16 may be changed. Operations other than those of FIGS. 15 and 16 may be performed before, during, or after the operations of FIGS. 15 and 16.

[0135] FIGS. 15 and 16 differ from the embodiments of FIGS. 11 to 14 in that data is transmitted via the server (400), but other operations may be similar to the embodiments of FIGS. 11 to 14. Therefore, redundant descriptions may be omitted, and omitted portions of the descriptions of the embodiments of FIGS. 15 and 16 may be understood with reference to the descriptions of the embodiments of FIGS. 11 to 14.

[0136] Referring to FIG. 15, in operation 1501, according to one embodiment, the wearable device (310) (e.g., processor (312)) may obtain a first signal due to the user's movement based on the potential difference between the first electrode (314) and the second electrode (315). Operation 1501 may be the same as or similar to operation 1101 of FIG. 11. Duplicate descriptions will be omitted.

[0137] In operation 1503, according to one embodiment, the wearable device (310) (e.g., processor (312)) may determine an EMG signal (e.g., a high-frequency component) based on the first signal of operation 1501. The range of the high-frequency component may be understood by referring to the description of FIG. 8. Operation 1503 may be identical to or similar to operation 1103 of FIG. 11. Duplicate descriptions will be omitted.

[0138] In operation 1505, according to one embodiment, the wearable device (310) (e.g., processor (312)) may transmit the EMG signal identified in operation 1503 to the server (400). Except that the EMG signal is transmitted to the server (400), operation 1505 may be the same as or similar to operation 1105 of FIG. 11. For example, based on identifying the EMG signal in operation 1503, the wearable device (310) may transmit a signal corresponding to the EMG signal to the server (400) using the communication circuit (311). The server (400) may receive the EMG signal (e.g., a signal corresponding to the EMG signal) from the wearable device (310).

[0139] Actions 1507 and 1509 may be performed or omitted.

[0140] In operation 1507, according to one embodiment, the wearable device (310) (e.g., processor (312)) may identify a noise signal (e.g., a low-frequency component) based on the first signal of operation 1501. The range of the low-frequency component may be understood by referring to the description of FIG. 8. Operation 1507 may be identical to or similar to operation 1209 of FIG. 12. Duplicate descriptions will be omitted.

[0141] In operation 1509, according to one embodiment, the wearable device (310) (e.g., processor (312)) may transmit the noise signal identified in operation 1507 to the server (400). Except that the noise signal is transmitted to the server (400), operation 1509 may be the same as or similar to operation 1211 of FIG. 12. For example, based on identifying the noise signal in operation 1507, the wearable device (310) may transmit a signal corresponding to the noise signal to the server (400) using the communication circuit (311). The server (400) may receive the noise signal (e.g., a signal corresponding to the noise signal) from the wearable device (310).

[0142] In one embodiment, operations 1505 and 1509 may be one operation. For example, the electronic device (200) may transmit one signal including an EMG signal identified in operation 1503 (e.g., a signal corresponding to the EMG signal of operation 1505) and a noise signal identified in operation 1507 (e.g., a signal corresponding to the noise signal) to the server (400) using the communication circuit (311). The server (400) may receive one signal including an EMG signal identified in operation 1503 (e.g., a signal corresponding to the EMG signal of operation 1505) and a noise signal identified in operation 1507 (e.g., a signal corresponding to the noise signal) from the wearable device (310).

[0143] In operation 1511, according to one embodiment, the server (400) may transmit a signal to the electronic device (200). The electronic device (200) may receive the signal from the server (400) using the communication circuit (201). The signal transmitted from the server (400) to the electronic device (400) may include a signal corresponding to the EMG signal of operation 1505 and / or a signal corresponding to the noise signal of operation 1509. For example, the server (400) may transmit a signal corresponding to the EMG signal received from the wearable device (310) to the electronic device (200). For example, the server (400) may transmit a signal corresponding to the noise signal received from the wearable device (310) to the electronic device (200). For example, the server (400) may transmit a signal including an EMG signal and a noise signal received from a wearable device (310) to the electronic device (200). If operations 1507 and 1509 are omitted, the operation of transmitting a signal corresponding to the noise signal from the server (400) to the electronic device (200) may be omitted.

[0144] In operation 1513, according to one embodiment, the electronic device (200) (e.g., processor (202)) may determine a user's movement (e.g., eating movement, teeth grinding movement, teeth clenching movement) based on a signal received from the server (400). For example, the electronic device (200) may determine a high-frequency component (and / or a low-frequency component) based on the signal received from the server (400), and determine the user's movement (e.g., eating movement, teeth grinding movement, teeth clenching movement) based on the determined high-frequency component (and / or low-frequency component). The range of the high-frequency component and the range of the low-frequency component may be understood with reference to the description of FIG. 8. The operation of determining the user's movement is omitted here as it has been described above.

[0145] In operation 1515, according to one embodiment, the electronic device (200) (e.g., processor (202)) may execute a function corresponding to the user's movement based on the user's movement identified in operation 1513. The execution of the function corresponding to the user's movement has been described above. This will be described in more detail with reference to FIGS. 17, 18, and 19.

[0146] According to one embodiment, among the operations of FIG. 15, an operation corresponding to operation 1513 may be performed by the server (400). For example, the server (400) may not perform operation 1511. For example, the server (400) may determine a user's movement (e.g., a eating motion, a teeth grinding motion, a teeth clenching motion) based on a signal (e.g., an EMG signal and / or a noise signal) provided from the wearable device (310). For example, the server (400) may identify a high-frequency component (and / or a low-frequency component) based on a signal received from the wearable device (310), and determine the user's movement (e.g., a eating motion, a teeth grinding motion, a teeth clenching motion) based on the identified high-frequency component (and / or low-frequency component). According to one embodiment, the server (400) may transmit a signal including information about the user's movement determined by the server (400) to the electronic device (200). The electronic device (200) may determine the user's movement (e.g., eating movement, teeth grinding movement, teeth clenching movement) based on the signal received from the server (400) (e.g., signal including information about the user's movement). Thereafter, the electronic device (200) may perform operation 1515. According to one embodiment, the server (400) may transmit a signal including information about the user's movement determined by the server (400) to the wearable device (310). The wearable device (310) may transmit a signal (e.g., signal including information about the user's movement) to the electronic device (200) based on receiving the signal (e.g., signal including information about the user's movement) from the server (400). The electronic device (200) can determine the user's movements (e.g., eating movements, teeth grinding movements, teeth clenching movements) based on signals received from the wearable device (310) (e.g., signals containing information about the user's movements). Thereafter, the electronic device (200) can perform operation 1515.

[0147] Referring to FIG. 16, in operation 1601, according to one embodiment, the wearable device (310) (e.g., processor (312)) may obtain a first signal due to the user's movement based on the potential difference between the first electrode (314) and the second electrode (315). Operation 1601 may be the same as or similar to operation 1301 of FIG. 13. Duplicate descriptions will be omitted.

[0148] In operation 1603, according to one embodiment, the wearable device (310) (e.g., processor (312)) may transmit the first signal identified in operation 1601 to the server (400). Except that the first signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) is transmitted to the server (400), operation 1603 may be the same as or similar to operation 1303 of FIG. 13 . For example, the wearable device (310), based on identifying the first signal in operation 1601, may transmit a signal corresponding to the first signal to the server (400) using the communication circuit (311). The server (400) may receive the first signal (e.g., a signal corresponding to the first signal) from the wearable device (310).

[0149] In operation 1605, according to one embodiment, the server (400) may transmit a signal to the electronic device (200). The electronic device (200) may receive the signal from the server (400) using the communication circuit (201). The signal transmitted from the server (400) to the electronic device (400) may be a signal corresponding to a first signal obtained based on a potential difference between the first electrode (314) and the second electrode (315) of the wearable device (310). For example, the server (400) may transmit a signal corresponding to a first signal obtained based on a potential difference between the first electrode (314) and the second electrode (315) of the wearable device (310) to the electronic device (200).

[0150] In operation 1607, according to one embodiment, the electronic device (200) (e.g., processor (202)) may determine a user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on a signal received from the server (400). For example, the electronic device (200) may identify a high-frequency component (and / or a low-frequency component) based on a signal received from the server (400) (e.g., a signal corresponding to a first signal obtained based on a potential difference between the first electrode (314) and the second electrode (315) of the wearable device (310). For example, the electronic device (200) may perform a transformation (e.g., Fourier transform) on the signal received from the server (400) and identify a high-frequency component (and / or a low-frequency component). The electronic device (200) can determine the user's movements (e.g., eating movements, teeth grinding movements, and clenching movements) based on the identified high-frequency components (and / or low-frequency components). The range of high-frequency components and the range of low-frequency components can be understood by referring to the description of FIG. 8. The operation of determining the user's movements has been described above and will therefore be omitted here.

[0151] In operation 1609, according to one embodiment, the electronic device (200) (e.g., processor (202)) may execute a function corresponding to the user's movement based on the user's movement identified in operation 1607. The execution of the function corresponding to the user's movement has been described above. This will be described in more detail with reference to FIGS. 17, 18, and 19.

[0152] According to one embodiment, among the operations of FIG. 16, an operation corresponding to operation 1607 may be performed by the server (400). For example, the server (400) may not perform operation 1605. For example, the server (400) may identify a high-frequency component (and / or a low-frequency component) based on a signal received from the wearable device (310) (e.g., a signal corresponding to a first signal obtained based on a potential difference between the first electrode (314) and the second electrode (315) of the wearable device (310). For example, the server (400) may perform a transformation (e.g., a Fourier transform) on the signal received from the server (400) and identify the high-frequency component (and / or the low-frequency component). The server (400) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the identified high-frequency components (and / or low-frequency components). According to one embodiment, the server (400) can transmit a signal including information about the user's movement determined by the server (400) to the electronic device (200). The electronic device (200) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the signal received from the server (400) (e.g., signal including information about the user's movement). Thereafter, the electronic device (200) can perform operation 1609. According to one embodiment, the server (400) can transmit a signal including information about the user's movement determined by the server (400) to the wearable device (310). The wearable device (310) can transmit a signal (e.g., a signal including information about the user's movement) to the electronic device (200) based on receiving a signal (e.g., a signal including information about the user's movement) from the server (400). The electronic device (200) can determine the user's movement (e.g., a eating movement, a teeth grinding movement, a teeth clenching movement) based on the signal (e.g., a signal including information about the user's movement) received from the wearable device (310).Afterwards, the electronic device (200) can perform operation 1609.

[0153] According to one embodiment, among the operations of FIG. 16, an operation of checking an EMG signal (and / or a noise signal) may be performed by the server (400). For example, the server (400) may not perform operation 1605. For example, the server (400) may check a high-frequency component (and / or a low-frequency component) based on a signal received from the wearable device (310) (e.g., a signal corresponding to a first signal obtained based on a potential difference between the first electrode (314) and the second electrode (315) of the wearable device (310). For example, the server (400) may perform a transformation (e.g., a Fourier transform) on the signal received from the server (400) and check the high-frequency component (and / or the low-frequency component). According to one embodiment, the server (400) may transmit a signal including information about the high frequency component (and / or low frequency component) identified by the server (400) to the electronic device (200). The electronic device (200) may identify the high frequency component (and / or low frequency component) based on the signal received from the server (400) (e.g., the signal including information about the high frequency component (and / or low frequency component)). The electronic device (200) may determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the identified high frequency component (and / or low frequency component). Thereafter, the electronic device (200) may perform operation 1609. According to one embodiment, the server (400) may transmit a signal including information about the high frequency component (and / or low frequency component) identified by the server (400) to the wearable device (310). The wearable device (310) may transmit a signal (e.g., a signal including information about high-frequency components (and / or low-frequency components)) to the electronic device (200) based on receiving a signal (e.g., a signal including information about high-frequency components (and / or low-frequency components)) from the server (400).The electronic device (200) can identify high-frequency components (and / or low-frequency components) based on a signal received from the wearable device (310) (e.g., a signal including information about high-frequency components (and / or low-frequency components)). The electronic device (200) can determine the user's movements (e.g., eating movements, teeth grinding movements, teeth clenching movements) based on the identified high-frequency components (and / or low-frequency components). Thereafter, the electronic device (200) can perform operation 1609.

[0154] FIG. 17 is a diagram illustrating the operation of an electronic device according to one embodiment. FIG. 18 is a diagram illustrating the operation of an electronic device according to one embodiment. FIG. 19 is a diagram illustrating the operation of an electronic device according to one embodiment.

[0155] Figure 17 is a drawing illustrating functions corresponding to eating movements. Figure 18 is a drawing illustrating functions corresponding to teeth grinding movements. Figure 19 is a drawing illustrating functions corresponding to teeth clenching movements.

[0156] According to one embodiment, the electronic device (200) (e.g., the processor (202)) may perform a first function based on determining that the user's movement includes a eating motion. The first function may include displaying a screen (1700) of FIG. 17. Referring to FIG. 17, an operation of performing the first function may include displaying a screen (1700) including at least one of a start time and an end time of the eating motion, a period between the start time and the end time of the eating motion, a number of chews, an average number of chews, or a food intake guide during the period between the start time and the end time of the eating motion, on a display (204) of the electronic device (200). The first function may include an operation other than displaying the screen (1700) of FIG. 17.

[0157] According to one embodiment, the electronic device (200) (e.g., the processor (202)) may perform a second function based on determining that the user's movement includes a teeth grinding motion. The second function may include displaying a screen (1800) of FIG. 18. Referring to FIG. 18, the operation of performing the second function may include displaying a screen (1800) including at least one of a number of teeth grindings, a timing of teeth grindings, or an object representing teeth grindings, on the display (204) of the electronic device (200). The second function may include other operations than displaying the screen (1800) of FIG. 18. For example, the operation of performing the second function may include outputting a pre-specified sound in response to the teeth grinding motion through the speaker (205) of the electronic device (200). For example, the operation of performing the second function may include outputting a pre-specified sound in response to the teeth grinding motion through the haptic module (179) of the electronic device (200). It may include an action that outputs a pre-specified vibration in response.

[0158] According to one embodiment, the electronic device (200) (e.g., the processor (202)) may perform a third function based on determining that the user's movement includes a clenching motion. The third function may include displaying a screen (1900) of FIG. 19. Referring to FIG. 19, an operation of performing the third function may include displaying a screen (1900) indicating that a clenching motion has been detected on a display (204) of the electronic device (200). The third function may include an operation other than displaying a screen (1900) of FIG. 19.

[0159] Those skilled in the art will appreciate that the embodiments described herein may be applied interchangeably, within the scope of their applicability. For example, those skilled in the art will appreciate that at least some operations of one embodiment described herein may be omitted and applied, or at least some operations of one embodiment may be applied in conjunction.

[0160] The technical tasks to be achieved in this document are not limited to the technical tasks mentioned above, and other technical tasks not mentioned will be clearly understood by those with ordinary skill in the technical field to which this document pertains from the description below.

[0161] The effects that can be obtained from the present disclosure are not limited to the effects mentioned above, and other effects that are not mentioned can be clearly understood by a person having ordinary skill in the art to which the present disclosure belongs from the description below.

[0162] According to one embodiment, a wearable device (310) may include a first electrode (314), a second electrode (315), a communication circuit (311), at least one processor (312), and a memory (313) storing instructions. The instructions, when executed by the at least one processor (312), may cause the wearable device (310) to perform at least one operation. The at least one operation may include an operation of acquiring a first signal by a movement of the user based on a potential difference between the first electrode (314) and the second electrode (315) while the wearable device (310) is worn on one ear of the user. The at least one operation may include an operation of identifying an electromyogram (EMG) signal including a high frequency component based on the first signal. The at least one action may include an action of transmitting the EMG signal to the electronic device (200) via the communication circuit (311) so that the electronic device (200) executes a function corresponding to the movement.

[0163] According to one embodiment, in the wearable device (310), the operation of checking the EMG signal may include performing a Fourier transform on the first signal and checking the EMG signal including the high-frequency components. At least some of the high-frequency components may include frequency components of 20 [Hz] or more and 128 [Hz] or less.

[0164] According to one embodiment, the wearable device (310) may include a ground electrode (316). The operation of obtaining the first signal may include an operation of adjusting the potential difference between the first electrode (314) and the second electrode (315) using the signal of the ground electrode (316).

[0165] According to one embodiment, in the wearable device (310), the at least one operation may include an operation of identifying a noise signal including a low frequency component based on the first signal. The at least one operation may include an operation of transmitting the noise signal to the electronic device (200) via the communication circuit (311).

[0166] According to one embodiment, in the wearable device (310), the at least one operation may include an operation of transmitting the EMG signal to a server (400) using the communication circuit (311) so as to transmit the EMG signal to the electronic device (200). The server (400) may be configured to transmit the EMG signal received from the wearable device (310) to the electronic device (200).

[0167] According to one embodiment, a method of operating a wearable device (310) may include an operation of obtaining a first signal by a movement of a user based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) while the wearable device (310) is worn on one ear of the user. The method may include an operation of identifying an electromyogram (EMG) signal including a high frequency component based on the first signal. The method may include an operation of transmitting the EMG signal to the electronic device (200) through a communication circuit (311) of the wearable device (310) so that the electronic device (200) executes a function corresponding to the movement.

[0168] According to one embodiment, in the method of the wearable device (310), the operation of checking the EMG signal may include an operation of performing a Fourier transform on the first signal and checking the EMG signal including the high-frequency components. At least some of the high-frequency components may include frequency components of 20 [Hz] or more and 128 [Hz] or less.

[0169] According to one embodiment, in the method of the wearable device (310), the wearable device (310) may include a ground electrode (316). The operation of obtaining the first signal may include an operation of adjusting the potential difference between the first electrode (314) and the second electrode (315) using the signal of the ground electrode (316).

[0170] According to one embodiment, the method of the wearable device (310) may include an operation of identifying a noise signal including a low frequency component based on the first signal. The method may include an operation of transmitting the noise signal to the electronic device (200) via the communication circuit (311).

[0171] According to one embodiment, the method of the wearable device (310) may include an operation of transmitting the EMG signal to a server (400) using the communication circuit (311) so as to transmit the EMG signal to the electronic device (200). In the method of operating the wearable device (310), the server (400) may be configured to transmit the EMG signal received from the wearable device (310) to the electronic device (200).

[0172] According to one embodiment, a storage medium storing computer-readable instructions may cause the instructions, when executed by at least one processor (312) of a wearable device (310), to cause the wearable device (310) to perform at least one operation. The at least one operation may include an operation of acquiring a first signal by a movement of the user based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) while the wearable device (310) is worn on one ear of the user. The at least one operation may include an operation of identifying an electromyogram (EMG) signal including a high frequency component based on the first signal. The at least one action may include an action of transmitting the EMG signal to the electronic device (200) via the communication circuit (311) of the wearable device (310) so that the electronic device (200) executes a function corresponding to the movement.

[0173] According to one embodiment, in the storage medium associated with the wearable device (310), the operation of identifying the EMG signal may include performing a Fourier transform on the first signal and identifying the EMG signal including the high-frequency components. At least some of the high-frequency components may include frequency components of 20 [Hz] or more and 128 [Hz] or less.

[0174] According to one embodiment, in the storage medium associated with the wearable device (310), the wearable device (310) may include a ground electrode (316). The operation of obtaining the first signal may include an operation of adjusting the potential difference between the first electrode (314) and the second electrode (315) using the signal of the ground electrode (316).

[0175] According to one embodiment, in the storage medium associated with the wearable device (310), the at least one operation may include an operation of identifying a noise signal including a low frequency component based on the first signal. The at least one operation may include an operation of transmitting the noise signal to the electronic device (200) via the communication circuit (311).

[0176] According to one embodiment, in the storage medium associated with the wearable device (310), the at least one operation may include an operation of transmitting the EMG signal to a server (400) using the communication circuit (311) so as to transmit the EMG signal to the electronic device (200). In the operating method of the wearable device (310), the server (400) may be configured to transmit the EMG signal received from the wearable device (310) to the electronic device (200).

[0177] According to one embodiment, an electronic device (200) may include a communication circuit (201), at least one processor (202), and a memory (203) storing instructions. The instructions, when executed by the at least one processor (202), may cause the electronic device (200) to perform at least one operation. The at least one operation may include receiving, through the communication circuit (201), a signal for identifying a movement of a user from a wearable device (310). Here, the signal may include a first signal obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on either ear of the user, or the signal may include a first EMG signal obtained by the wearable device (310) based on the first signal. The at least one action may include an action of determining the movement of the user based on a high frequency component identified based on the signal. The at least one action may include an action of executing a function of the electronic device (200) corresponding to the movement.

[0178] According to one embodiment, in the electronic device (200), the operation of receiving the signal may include an operation of receiving the first signal from the wearable device (310) through the communication circuit (201). The at least one operation may include an operation of identifying a second EMG signal including the high-frequency component based on the received first signal. The operation of determining the movement of the user may include an operation of determining the movement of the user based on the high-frequency component identified based on the second EMG signal.

[0179] According to one embodiment, in the electronic device (200), the operation of identifying the second EMG signal may include an operation of performing a Fourier transform on the first signal and identifying the second EMG signal including the high-frequency components. At least some of the high-frequency components may include frequency components of 20 [Hz] or more and 128 [Hz] or less.

[0180] According to one embodiment, in the electronic device (200), the operation of receiving the signal may include an operation of receiving the first EMG signal from the wearable device (310) through the communication circuit (201). The operation of determining the movement of the user may include an operation of determining the movement of the user based on the high-frequency component identified based on the first EMG signal.

[0181] According to one embodiment, in the electronic device (200), the at least one operation may include an operation of determining that the movement of the user includes a eating motion based on the high frequency component being confirmed a specified number of times over a specified period of time. The at least one operation may include an operation of executing a first function of the electronic device (200) based on determining that the movement of the user includes the eating motion.

[0182] According to one embodiment, in the electronic device (200), the operation of executing the first function may include an operation of displaying a screen including at least one of a start time and an end time of the eating motion, a period between the start time and the end time, a number of chews, an average number of chews, or a food intake guide during the period, on the display (204) of the electronic device (200).

[0183] In one embodiment, in the electronic device (200), the at least one operation may include an operation of determining that the movement of the user includes a teeth grinding motion based on identifying the high frequency component while an event corresponding to the user's sleep is identified. The at least one operation may include an operation of executing a second function of the electronic device (200) based on determining that the movement of the user includes the teeth grinding motion.

[0184] According to one embodiment, in the electronic device (200), the event corresponding to the sleep of the user may include an event confirming that the user is sleeping, or an event confirming that the probability that the user is sleeping is a specific time greater than or equal to a reference value, based on data confirmed through a sensor (317) of the wearable device (310) and / or data confirmed through a sensor (206) of the electronic device (200).

[0185] According to one embodiment, in the electronic device (200), the operation of executing the second function may include an operation of displaying a screen including at least one of the number of teeth grindings, the timing of teeth grindings, or an object representing teeth grindings on the display (204) of the electronic device (200).

[0186] According to one embodiment, in the electronic device (200), the operation of executing the second function may include an operation of outputting a sound through a speaker (205) of the electronic device (200). The operation of executing the second function may include an operation of outputting a vibration through a haptic module (179) of the electronic device (200).

[0187] In one embodiment, in the electronic device (200), the at least one action may include an action of determining that the movement of the user includes a clenching motion based on the high frequency component being continuously confirmed for a specified period of time. The at least one action may include an action of executing a third function of the electronic device (200) based on determining that the movement of the user includes the clenching motion.

[0188] According to one embodiment, in the electronic device (200), the at least one operation may include an operation of receiving a first noise signal obtained based on the first signal by the wearable device (310) from the wearable device (310) through the communication circuit (201), or an operation of identifying a second noise signal based on the received first signal. The operation of determining the movement of the user may include an operation of determining the movement of the user based on a high frequency component by using a low frequency component identified based on the first noise signal or the second noise signal as a reference.

[0189] According to one embodiment, an electronic device (200) may include a communication circuit (201), at least one processor (202), and a memory (203) storing instructions. The instructions, when executed by the at least one processor (202), may cause the electronic device (200) to perform at least one operation. The at least one operation may include receiving a signal for confirming a movement of a user from a server (400) via the communication circuit (201). Here, the server (400) may be configured to receive a first signal or a first EMG signal from a wearable device (310). The server (400) may be configured to transmit the signal to the electronic device (200) based on the first signal or the first EMG signal. The first signal may be obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on one ear of the user. The first EMG signal may be obtained based on the first signal. The at least one action may include an action of determining the movement of the user based on a high frequency component identified based on the signal. The at least one action may include an action of executing a function of the electronic device (200) corresponding to the movement.

[0190] According to one embodiment, a method of operating an electronic device (200) may include an operation of receiving a signal for confirming a movement of a user from a wearable device (310) through a communication circuit (201) of the electronic device (200). Here, the signal may include a first signal obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on either ear of the user, or the signal may include a first EMG signal obtained based on the first signal by the wearable device (310). The method may include an operation of determining the movement of the user based on a high frequency component confirmed based on the signal. The method may include an operation of executing a function of the electronic device (200) corresponding to the movement.

[0191] According to one embodiment, in the operating method of the electronic device (200), the operation of receiving the signal may include an operation of receiving the first signal from the wearable device (310) through the communication circuit (201). The method may include an operation of identifying a second EMG signal including the high-frequency component based on the received first signal. The operation of determining the movement of the user may include an operation of determining the movement of the user based on the high-frequency component identified based on the second EMG signal.

[0192] According to one embodiment, in the operating method of the electronic device (200), the operation of checking the second EMG signal may include an operation of performing a Fourier transform on the first signal and checking the second EMG signal including the high-frequency components. At least some of the high-frequency components may include frequency components of 20 [Hz] or more and 128 [Hz] or less.

[0193] According to one embodiment, in the operating method of the electronic device (200), the operation of receiving the signal may include an operation of receiving the first EMG signal from the wearable device (310) through the communication circuit (201). The operation of determining the movement of the user may include an operation of determining the movement of the user based on the high-frequency component identified based on the first EMG signal.

[0194] According to one embodiment, the method of the electronic device (200) may include an operation of determining that the movement of the user includes a eating motion based on the high frequency component being confirmed a specified number of times over a specified period of time. The method may include an operation of executing a first function of the electronic device (200) based on determining that the movement of the user includes the eating motion.

[0195] According to one embodiment, in the operating method of the electronic device (200), the operation of executing the first function may include an operation of displaying a screen including at least one of a start time and an end time of the eating motion, a period between the start time and the end time, a number of chews, an average number of chews, or a food intake guide during the period, on the display (204) of the electronic device (200).

[0196] In one embodiment, the method of the electronic device (200) may include an operation of determining that the movement of the user includes a teeth grinding motion based on identifying the high frequency component while an event corresponding to the user's sleep is identified. The method may include an operation of executing a second function of the electronic device (200) based on determining that the movement of the user includes the teeth grinding motion.

[0197] According to one embodiment, in the operating method of the electronic device (200), the event corresponding to the sleep of the user may include an event for confirming that the user is sleeping, or an event for confirming that the probability that the user is sleeping is a specific time greater than or equal to a reference value, based on data confirmed through a sensor (317) of the wearable device (310) and / or data confirmed through a sensor (206) of the electronic device (200).

[0198] According to one embodiment, in the operating method of the electronic device (200), the operation of executing the second function may include an operation of displaying a screen including at least one of the number of teeth grindings, the timing of teeth grindings, or an object representing teeth grindings on the display (204) of the electronic device (200).

[0199] According to one embodiment, in the operating method of the electronic device (200), the operation of executing the second function may include an operation of outputting a sound through a speaker (205) of the electronic device (200). The operation of executing the second function may include an operation of outputting a vibration through a haptic module (179) of the electronic device (200).

[0200] According to one embodiment, the method of the electronic device (200) may include an operation of determining that the movement of the user includes a clenching motion based on the high frequency component being continuously confirmed for a specified period of time. The method may include an operation of executing a third function of the electronic device (200) based on determining that the movement of the user includes the clenching motion.

[0201] According to one embodiment, the method of the electronic device (200) may include an operation of receiving a first noise signal obtained based on the first signal by the wearable device (310) from the wearable device (310) through the communication circuit (201), or an operation of identifying a second noise signal based on the received first signal. The operation of determining the movement of the user may include an operation of determining the movement of the user based on a high frequency component by using a low frequency component identified based on the first noise signal or the second noise signal as a reference.

[0202] According to one embodiment, a method of operating an electronic device (200) may include receiving a signal for confirming a movement of a user from a server (400) through a communication circuit (201) of the electronic device (200). Here, the server (400) may be configured to receive a first signal or a first EMG signal from a wearable device (310). The server (400) may be configured to transmit the signal to the electronic device (200) based on the first signal or the first EMG signal. The first signal may be obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on one ear of the user. The first EMG signal may be obtained based on the first signal. The method may include an operation of determining the movement of the user based on a high frequency component identified based on the signal. The method may include an operation of executing a function of the electronic device (200) corresponding to the movement.

[0203] According to one embodiment, a storage medium storing computer-readable instructions may cause the instructions, when executed by at least one processor (312) of an electronic device (200), to cause the electronic device (200) to perform at least one operation. The at least one operation may include receiving a signal for identifying a movement of a user from a wearable device (310) via a communication circuit (201) of the electronic device (200). Here, the signal may include a first signal obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on one ear of the user, or the signal may include a first EMG signal obtained by the wearable device (310) based on the first signal. The at least one action may include an action of determining the movement of the user based on a high frequency component identified based on the signal. The at least one action may include an action of executing a function of the electronic device (200) corresponding to the movement.

[0204] According to one embodiment, in the storage medium associated with the electronic device (200), the operation of receiving the signal may include an operation of receiving the first signal from the wearable device (310) through the communication circuit (201). The at least one operation may include an operation of identifying a second EMG signal including the high-frequency component based on the received first signal. The operation of determining the movement of the user may include an operation of determining the movement of the user based on the high-frequency component identified based on the second EMG signal.

[0205] According to one embodiment, in the storage medium associated with the electronic device (200), the operation of identifying the second EMG signal may include an operation of performing a Fourier transform on the first signal and identifying the second EMG signal including the high-frequency components. At least some of the high-frequency components may include frequency components of 20 [Hz] or more and 128 [Hz] or less.

[0206] According to one embodiment, in the storage medium associated with the electronic device (200), the operation of receiving the signal may include an operation of receiving the first EMG signal from the wearable device (310) via the communication circuit (201). The operation of determining the movement of the user may include an operation of determining the movement of the user based on the high-frequency component identified based on the first EMG signal.

[0207] According to one embodiment, in the storage medium associated with the electronic device (200), the at least one operation may include an operation of determining that the movement of the user includes a eating motion based on the high frequency component being confirmed a specified number of times or more during a specified period of time. The at least one operation may include an operation of executing a first function of the electronic device (200) based on determining that the movement of the user includes the eating motion.

[0208] According to one embodiment, in the storage medium associated with the electronic device (200), the operation of executing the first function may include an operation of displaying a screen including at least one of a start time and an end time of the eating motion, a period between the start time and the end time, a number of chews, an average number of chews, or a food intake guide during the period, on the display (204) of the electronic device (200).

[0209] In one embodiment, in the storage medium associated with the electronic device (200), the at least one operation may include an operation of determining that the movement of the user includes a teeth grinding motion based on identifying the high frequency component while an event corresponding to the user's sleep is identified. The at least one operation may include an operation of executing a second function of the electronic device (200) based on determining that the movement of the user includes the teeth grinding motion.

[0210] According to one embodiment, in the storage medium associated with the electronic device (200), the event corresponding to the sleep of the user may include an event confirming that the user is sleeping, or an event confirming that a probability that the user is sleeping is greater than or equal to a reference value, based on data confirmed through a sensor (317) of the wearable device (310) and / or data confirmed through a sensor (206) of the electronic device (200).

[0211] According to one embodiment, in the storage medium associated with the electronic device (200), the operation of executing the second function may include an operation of displaying a screen including at least one of a number of teeth grindings, a time of teeth grinding, or an object representing teeth grinding on a display (204) of the electronic device (200).

[0212] According to one embodiment, in the storage medium associated with the electronic device (200), the operation of executing the second function may include an operation of outputting a sound through a speaker (205) of the electronic device (200). The operation of executing the second function may include an operation of outputting a vibration through a haptic module (179) of the electronic device (200).

[0213] According to one embodiment, in the storage medium associated with the electronic device (200), the at least one operation may include an operation of determining that the movement of the user includes a clenching motion based on the high frequency component being continuously confirmed for a specified period of time. The at least one operation may include an operation of executing a third function of the electronic device (200) based on determining that the movement of the user includes the clenching motion.

[0214] According to one embodiment, in the storage medium associated with the electronic device (200), the at least one operation may include an operation of receiving, from the wearable device (310) through the communication circuit (201), a first noise signal obtained based on the first signal by the wearable device (310), or an operation of identifying a second noise signal based on the received first signal. The operation of determining the movement of the user may include an operation of determining the movement of the user based on a high frequency component by using a low frequency component identified based on the first noise signal or the second noise signal as a reference.

[0215] According to one embodiment, a storage medium storing computer-readable instructions may cause the instructions, when executed by at least one processor (312) of an electronic device (200), to cause the electronic device (200) to perform at least one operation. The at least one operation may include receiving a signal for confirming a movement of a user from a server (400) via a communication circuit (201) of the electronic device (200). Here, the server (400) may be configured to receive a first signal or a first EMG signal from a wearable device (310). The server (400) may be configured to transmit the signal to the electronic device (200) based on the first signal or the first EMG signal. The first signal may be obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on one ear of the user. The first EMG signal may be obtained based on the first signal. The at least one action may include an action of determining the movement of the user based on a high frequency component identified based on the signal. The at least one action may include an action of executing a function of the electronic device (200) corresponding to the movement.

[0216] Electronic devices according to the various embodiments disclosed in this document may take various forms. 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 the embodiments of this document are not limited to the aforementioned devices.

[0217] The various embodiments of this document and the terminology 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 substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals 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 items, unless the context clearly indicates otherwise. In this document, each of the phrases "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 "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0218] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0219] Various embodiments of the present document may be implemented as software (e.g., a program) including one or more instructions stored on a storage medium that can be read by a machine (e.g., an electronic device). For example, a processor (e.g., a controller) of the machine may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate 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. The machine-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 (e.g., electromagnetic waves), and this term does not distinguish between cases where data is stored semi-permanently and cases where it is stored temporarily in the storage medium.

[0220] According to one embodiment, the method according to various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. 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 may be distributed online (e.g., downloaded or uploaded) via an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0221] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each 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, the 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 one or more other operations may be added.

Claims

1. In an electronic device (200), Communication circuit (201); at least one processor (202); and Contains a memory (203) for storing instructions, The above instructions, when executed by the at least one processor (202), cause the electronic device (200) to perform at least one operation, At least one of the above actions: An operation of receiving a signal for confirming a user's movement from a wearable device (310) through the above communication circuit (201), wherein the signal includes a first signal obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on one ear of the user, or the signal includes a first EMG signal obtained based on the first signal by the wearable device (310). An action of judging the movement of the user based on the high frequency component identified based on the above signal, and Including an operation of executing a function of the electronic device (200) corresponding to the above movement. Electronic devices (200).

2. In paragraph 1, The action of receiving the above signal is: An operation of receiving the first signal from the wearable device (310) through the communication circuit (201) is included. At least one of the above actions, An operation of identifying a second EMG signal including the high frequency component based on the received first signal is included. The action of judging the above movement of the above user is, An action for determining the movement of the user based on the high frequency component identified based on the second EMG signal, Electronic devices (200).

3. In paragraph 1 or 2, The operation of verifying the second EMG signal includes an operation of performing a Fourier transform on the first signal and verifying the second EMG signal including the high-frequency component. At least some of the high frequency components include frequency components of 20[Hz] or more and 128[Hz] or less. Electronic devices (200).

4. In any one of paragraphs 1 to 3, The action of receiving the above signal is: An operation of receiving the first EMG signal from the wearable device (310) through the communication circuit (201) is included. The action of judging the above movement of the above user is, An operation for determining the movement of the user based on the high frequency component identified based on the first EMG signal, Electronic devices (200).

5. In any one of paragraphs 1 to 4, At least one of the above actions, An action of determining that the user's movement includes a eating action based on the fact that the high-frequency component is confirmed more than a specified number of times during a specified period, and Based on determining that the movement of the user includes the eating motion, the electronic device (200) includes an operation of executing a first function. Electronic devices (200).

6. In any one of paragraphs 1 to 5, The action of executing the above first function is: Including an action of displaying a screen including at least one of a start time and an end time of the eating motion, a period between the start time and the end time, a number of chews, an average number of chews, or a food intake guide due to the eating motion during the period, on a display (204) of the electronic device (200). Electronic devices (200).

7. In any one of paragraphs 1 to 6, At least one of the above actions, An action of determining that the movement of the user includes a grinding motion based on checking the high frequency component while an event corresponding to the sleep of the user is confirmed, and Based on determining that the movement of the user includes the grinding motion, an operation of executing a second function of the electronic device (200) is included. Electronic devices (200).

8. In any one of paragraphs 1 to 7, The above event corresponding to the above sleep of the above user is, An event that confirms that the user is sleeping based on data confirmed through the sensor (317) of the wearable device (310) and / or data confirmed through the sensor (206) of the electronic device (200), or Including an event that verifies that a certain time period is greater than a threshold value in which the user is sleeping. Electronic devices (200).

9. In any one of paragraphs 1 to 8, The action of executing the above second function is: Including an action of displaying a screen including at least one of the number of teeth grindings, the timing of teeth grindings, or an object representing teeth grindings on the display (204) of the electronic device (200). Electronic devices (200).

10. In any one of paragraphs 1 to 9, The action of executing the above second function is: An operation of outputting sound through the speaker (205) of the above electronic device (200), or An operation that includes outputting vibration through the haptic module (179) of the electronic device (200). Electronic devices (200).

11. In any one of paragraphs 1 to 10, At least one of the above actions, An action of determining that the user's movement includes a clenching motion based on the fact that the high-frequency component is continuously confirmed for a specified period of time, and Based on determining that the movement of the user includes the clenching motion, the electronic device (200) includes an operation of executing a third function. Electronic devices (200).

12. In any one of paragraphs 1 to 11, At least one of the above actions, An operation of receiving a first noise signal obtained based on the first signal by the wearable device (310) from the wearable device (310) through the communication circuit (201), or An operation of identifying a second noise signal based on the received first signal is included, The action of judging the above movement of the above user is, An operation of determining the movement of the user based on the high frequency component by using the low frequency component identified based on the first noise signal or the second noise signal as a reference, Electronic devices (200).

13. In the operating method of an electronic device (200), An operation of receiving a signal for confirming a user's movement from a wearable device (310) through a communication circuit (201) of the electronic device (200), wherein the signal includes a first signal obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on one ear of the user, or the signal includes a first EMG signal obtained based on the first signal by the wearable device (310). An action of judging the movement of the user based on the high frequency component identified based on the above signal, and Including an operation of executing a function of the electronic device (200) corresponding to the above movement. method.

14. In a storage medium storing computer-readable instructions, the instructions, when executed by at least one processor (202) of an electronic device (200), cause the electronic device (200) to perform at least one operation, At least one of the above actions: An operation of receiving a signal for confirming a movement of a user from a wearable device (310) through a communication circuit (201) of the electronic device (200), wherein the signal includes a first signal obtained based on a potential difference between a first electrode (314) and a second electrode (315) of the wearable device (310) worn on one ear of the user, or the signal includes a first EMG signal obtained based on the first signal by the wearable device (310). An action of judging the movement of the user based on the high frequency component identified based on the above signal, and Including an operation of executing a function of the electronic device (200) corresponding to the above movement. Recording medium.

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