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

A wearable device for acquiring a signal based on a user's movement, an electronic device for confirming a user's movement, and a method of operation thereof.

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

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

[0003] In particular, electromyography is a signal generated by muscle movement and is highly important among various biological signals.

[0004] The information described above may be provided as related art for the purpose of aiding understanding of the present disclosure. No claim or determination is made as to whether any of the foregoing may be applied as prior art related to the present disclosure.

[0005] According to one embodiment, the wearable device may include a first electrode, a second electrode, a communication circuit, at least one processor, and a memory for storing instructions. The instructions may cause the wearable device to perform at least one operation when executed by the at least one processor. The at least one operation may include acquiring a first signal based on the 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 identifying an electromyogram (EMG) signal containing a high frequency component based on the first signal. The at least one operation may include transmitting the EMG signal to the 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 acquiring a first signal based on the 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 containing 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 performs a function corresponding to the movement.

[0007] According to one embodiment, in a storage medium storing computer-readable instructions, the instructions may cause the wearable device to perform at least one operation when executed by at least one processor of the wearable device. The at least one operation may include an operation of acquiring a first signal based on the 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 an operation of identifying an electromyogram (EMG) signal containing a high frequency component based on the first signal. The at least one operation may include an operation of transmitting the EMG signal to the electronic device through a communication circuit of the wearable device so that the electronic device performs a function corresponding to the movement.

[0008] According to one embodiment, the electronic device may include a communication circuit, at least one processor, and a memory for storing instructions. The instructions may cause the electronic device to perform at least one operation when executed by the at least one processor. The at least one operation may include receiving a signal for confirming a user's movement from a wearable device through the communication circuit. Here, the signal may include a first signal obtained based on the potential difference between a first electrode and a second electrode of the wearable device worn on one 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 determining the user's movement based on a high frequency component confirmed based on the signal. The at least one operation may include 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 an operation of receiving a signal for confirming a user's movement from a wearable device through a communication circuit of the electronic device. Here, the signal may include a first signal obtained based on the potential difference between a first electrode and a second electrode of the wearable device worn on one 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 user's movement 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.

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

[0011] According to one embodiment, a method of operating an electronic device may include an operation of receiving a signal from a server to confirm a user's movement through a communication circuit of the electronic device. Here, 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 the potential difference between a first electrode and a second electrode of the wearable device 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 user's movement 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.

[0012] In a storage medium storing computer-readable instructions, said instructions may cause said electronic device to perform at least one operation when executed by at least one processor of said electronic device. The at least one operation may include receiving a signal from a server to confirm a user's movement through a communication circuit of said electronic device. Here, said server may receive a first signal or a first EMG signal from a wearable device. The server may transmit said signal to said electronic device based on said first signal or said first EMG signal. The first signal may be obtained based on the potential difference between a first electrode and a second electrode of said wearable device worn on one ear of said user. The first EMG signal may be obtained based on said first signal. The at least one operation may include determining said movement of said user based on a high frequency component identified based on said signal. The above at least one operation may include an operation that executes a function of the electronic device corresponding to the movement.

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

[0014] FIG. 2 is a drawing for explaining a system for verifying 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 diagram illustrating the transmission path of data.

[0017] Figure 5 is a diagram illustrating the transmission path of data.

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

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

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

[0021] FIG. 9 is a diagram illustrating a signal caused 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 operation of a wearable device and an electronic device according to one embodiment.

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

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

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

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

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

[0029] FIG. 17 is a diagram 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 in 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) through a first network (198) (e.g., a short-range wireless communication network) or with at least one of an electronic device (104) or a server (108) through a second network (199) (e.g., a long-range wireless communication network). According to one embodiment, the electronic device (101) may communicate with the electronic device (104) through a server (108). According to one embodiment, the electronic device (101) may include a processor (120), memory (130), input module (150), sound output module (155), display module (160), audio module (170), sensor module (176), interface (177), connection terminal (178), haptic module (179), camera module (180), power management module (188), battery (189), communication module (190), subscriber identification module (196), or antenna module (197). In some embodiments, at least one of these components (e.g., connection terminal (178)) may be omitted from the electronic device (101), or one or more other components may be added. In some embodiments, some of these components (e.g., sensor module (176), camera module (180), or antenna module (197)) may be integrated into a single component (e.g., display module (160)).

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

[0035] The auxiliary processor (123) may control at least some of the functions or states associated with at least one component of the electronic device (101) (e.g., display module (160), sensor module (176), or communication module (190)) 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. According to one embodiment, the auxiliary processor (123) (e.g., image signal processor or communication processor) may be implemented as part of another functionally related component (e.g., camera module (180) or communication module (190)). According to one embodiment, the auxiliary processor (123) (e.g., neural network processing unit) may include a hardware structure specialized for processing an artificial intelligence model. The artificial intelligence model may be generated through machine learning. Such learning may be performed, for example, on the electronic device (101) itself where the artificial intelligence model is executed, or through a separate server (e.g., server (108)). The learning algorithm may 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 may include a plurality of artificial neural network layers.An artificial neural network may be 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 the hardware structure, the artificial intelligence model may include a software structure, either additionally or substantially.

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

[0037] The program (140) may be stored as software in 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 for a component of the electronic device (101) (e.g., processor (120)) from outside the electronic device (101) (e.g., user). The input module (150) may 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 sound output module (155) can output a sound signal to the outside of the electronic device (101). The sound output module (155) may include, for example, a speaker or a receiver. The speaker may be used for general purposes, such as multimedia playback or recording playback. The receiver may be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from the speaker or as part thereof.

[0040] The display module (160) can visually provide information to an external (e.g., 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 said 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 the force generated by said touch.

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

[0042] The sensor module (176) can detect the operating state of the electronic device (101) (e.g., power or temperature) or the external environmental state (e.g., user state) and generate an electrical signal or data value corresponding to the detected state. According to one embodiment, the sensor module (176) may include, for example, a gesture sensor, a gyroscope sensor, a barometric pressure sensor, a magnetic sensor, an accelerometer sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biosensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0043] The interface (177) may support one or more specified protocols that can be used for the electronic device (101) to be connected directly or wirelessly to an external electronic device (e.g., electronic device (102)). According to one embodiment, the interface (177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0044] The connection terminal (178) may include a connector through which the electronic device (101) can 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 an electrical signal into a mechanical stimulus (e.g., vibration or movement) or an electrical stimulus that the user can perceive through tactile or kinesthetic senses. According to one embodiment, the haptic module (179) may include, for example, a motor, a piezoelectric element, or an electric stimulation device.

[0046] The camera module (180) can capture still images and video. 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 the power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented, for example, as at least part of a power management integrated circuit (PMIC).

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

[0049] The communication module (190) can support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between an 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 include one or more communication processors that operate independently of the processor (120) (e.g., application processor) and 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., cellular communication module, short-range wireless communication module, or GNSS (global navigation satellite system) communication module) or a wired communication module (194) (e.g., LAN (local area network) communication module, or power line communication module). The corresponding communication module among these communication modules can communicate with an external electronic device (104) through a first network (198) (e.g., a short-range communication network such as Bluetooth, WiFi (wireless fidelity) direct, or IrDA (infrared data association)) or a second network (199) (e.g., 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 may 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 identify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) using subscriber information (e.g., International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module (196).

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

[0051] An antenna module (197) can transmit a signal or power to or from an external source (e.g., an external electronic device). According to one embodiment, the antenna module (197) may include an antenna comprising a radiator made of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). According to 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 a first network (198) or a second network (199), may be selected from the plurality of antennas, for example, by a communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device through the selected at least one antenna. According to some embodiments, in addition to the radiator, other components (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as part of the antenna module (197).

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

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

[0054] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) through 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 performed on the electronic device (101) may be performed on one or more of the external electronic devices (102, 104, or 108). For example, if the electronic device (101) needs to perform a function or service automatically or in response to a request from a user or another device, the electronic device (101) may request one or more external electronic devices to perform at least part of the function or service instead of performing the function or service itself or additionally. One or more external electronic devices that receive the above request may execute at least part of the requested function or service, or 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 provide the result as is or additionally processed as at least part of the response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device (101) may provide ultra-low latency services using, for example, distributed computing or mobile edge computing. In one embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server using machine learning and / or neural networks. According to one embodiment, the external electronic device (104) or the server (108) may be included within a 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 verifying 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 a user. The second wearable device (320) may be worn on the other ear of a 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 device (e.g., 310, 320) may not be an earphone. For example, it may be a wearable device (e.g., 310), smart glasses, a smart watch, or a head-mounted display (HMD) device. In this case, the wearable device (e.g., 310) may be a single device rather than one of the pair of devices. For example, the electronic device (200) may be implemented as a smartphone or a tablet PC. There is no limitation on the type of 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, the 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 sake of convenience, redundant explanations may be omitted.

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

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

[0059] According to one embodiment, the electronic device (200) can determine whether the identified user's movement corresponds to a movement predetermined by the electronic device (200) based on a signal received from the wearable device (310) (e.g., a signal caused by the user's movement, or an EMG signal obtained based on the signal caused by the user's movement). If the electronic device (200) determines that the identified user's movement matches the designated movement, it can execute a function of the electronic device (200) corresponding to the designated 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 user's jaw movement, 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, with reference to FIG. 3, an 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). The electronic device (200) performing a specific operation may be controlled by the electronic device (200) or a component included in the electronic device (200) by the processor (202) of the electronic device (200). The processor (202) may be a circuitry 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 parts of the operations of the electronic device (200) may be processed by other parts of the processors (202) among the plurality of processors (202). Hereinafter, even when the processor (202) is implemented as a plurality, for convenience of explanation, it will be described as "operation of the electronic device (200)" or "operation of the processor (202)." According to one embodiment, the memory (203) may include instructions configured to cause at least one operation. The instructions may cause the electronic device (200) to perform at least one operation when executed by the processor (202) of the electronic device (200). 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 can be stored in one memory (203). Some of the instructions may be stored in some of the multiple memories (203), and other of the instructions may be stored in other of the multiple memories (203).In the following, even if the memory (203) is implemented as a plurality, it will be referred to as "memory (203)" for convenience of explanation. According to one embodiment, a computer-readable storage medium may be proposed in relation to an electronic device (200) in which instructions configured to cause at least one operation are stored.

[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 sound 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, with reference 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 be configured to correspond to the processor (120) of FIG. 1. The memory (313) of the wearable device (310) may be configured to correspond 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 a 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 a single 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 parts of the operations of the wearable device (310) may be processed by other parts of the processors (312) among the plurality of processors (312). Hereinafter, even if the processors (312) are implemented as multiple units, for convenience of explanation, they will be described as "operations of the wearable device (310)" or "operations of the processor (312)." According to one embodiment, the memory (313) may include instructions configured to cause at least one operation. When the instructions are executed by the processor (312) of the wearable device (310), they may cause the wearable device (310) to perform at least one operation. The wearable device (310) may include one or more memories (313). In the following, "memory (313)" may be a single memory (313) or multiple memories (313). Instructions may be stored in a single memory (313). Some of the instructions may be stored in some of the multiple memories (313), and other parts of the instructions may be stored in other parts of the multiple memories (313).In the following, even if the memory (313) is implemented as a plurality, it will be referred to as "memory (313)" for convenience of explanation. According to one embodiment, a computer-readable storage medium may be proposed in relation to a wearable device (310) in which instructions configured to cause at least one operation are stored.

[0066] According to one embodiment, with reference 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, with reference 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 outside of the wearable device (310) so as to be in contact with the 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. A wearable device (310) can acquire a signal based on the potential difference between a first electrode (314) (e.g., active electrode) and a second electrode (315) (e.g., reference electrode). For example, the wearable device (310) can acquire a signal based on the potential difference between a first electrode (314) (e.g., active electrode) and a second electrode (315) (e.g., reference electrode) by using a differential amplifier. The signal acquired based on the potential difference between the first electrode (314) (e.g., active electrode) and the second electrode (315) (e.g., reference electrode) may include, for example, a component corresponding to a brainwave signal, a component corresponding to an EMG (electromyogram) signal caused by the user's movement (e.g., high-frequency component), or a component corresponding to a noise signal caused by the user's movement (e.g., low-frequency component). For example, a wearable device (310) can acquire a signal caused by a user's movement based on the potential difference between a first electrode (314) (e.g., active electrode) and a second electrode (315) (e.g., reference electrode). The signal acquired based on the potential difference between the first electrode (314) (e.g., active electrode) and the second electrode (315) (e.g., reference electrode) may include a signal caused by a user's movement.For example, a signal based on the potential difference between the first electrode (314) and the second electrode (315) of the wearable device (310) can be obtained by the movement of a user wearing the wearable device (310) (e.g., the movement of the user's jaw). 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) may include a signal caused by the movement of the user wearing the wearable device (310) (e.g., the movement of the user's jaw). For example, the wearable device (310) can obtain a signal caused by 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 one of the user's ears. 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 outside of the wearable device (310) so as to be in contact with the user's body. A processor (312) of the wearable device (310) may be connected to the ground electrode (316). The processor (312) of the wearable device (310) may 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) in order to obtain a signal from the movement of the user.

[0068] Figure 4 is a diagram illustrating the data transmission path. Figure 5 is a diagram illustrating the 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 the transmission of data, 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 by 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 by the second wearable device (320) using a communication circuit (e.g., 201). According to one embodiment, the second wearable device (320) may directly transmit a signal to the electronic device (200), as in the first wearable device (310) of FIG. 3.

[0074] FIG. 6 is a drawing showing 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 FIG. 6(a), according to one embodiment, the first wearable device (310) may include an eartip (618) and a main body (or body part) (617) coupled to the eartip (618). The shape of the eartip (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 the user's body (e.g., 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 placed at the positions described in FIG. 7.

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

[0079] According to one embodiment, the first electrode (314) may be disposed on the main body (or body part) (617). According to one embodiment, the first electrode (314) may include at least one electrode (e.g., a conductive 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 are 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 eartip (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 eartip (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 FIG. 6(b), according to one embodiment, the second wearable device (320) may include an eartip (628) and a main body (or body part) (627) coupled to the eartip (628). The shape of the eartip (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 placed 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 placed 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 placed in the eartip (628).

[0083] According to one embodiment, the first electrode (324) may be disposed on the main body (or body part) (627). According to one embodiment, the first electrode (324) may include at least one electrode (e.g., a conductive 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 are 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 eartip (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 eartip (628) so as to be in contact with the user's body. According to one embodiment, the second electrode (325) may be placed 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 drawing showing one ear of a user wearing a wearable electronic device according to one embodiment.

[0085] FIG. 7 will be explained using the first wearable device (310) as an example.

[0086] According to one embodiment, with reference 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 each be placed at a position corresponding to the same part of a plurality of parts (e.g., “1”, “2”, “3”, “4”, “5”, “6”, “7”, “8”) of the user’s body (e.g., ear) in FIG. 7, or may each be placed at a position corresponding to a different part. The first electrode (314) and the second electrode (315) being placed at a position corresponding to the same part may be such that the first electrode (314) and the second electrode (315) are placed nearby. The ground electrode (316) may also be placed at a position 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) in FIG. 7, just like the first electrode (314) and the second electrode (315). The ground electrode (316) may also be positioned at a location corresponding to the same part as the first electrode (314) (or the second electrode (315)) or at a location corresponding to a different part 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.

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

[0088] According to one embodiment, the wearable device (310) can acquire a signal including a component corresponding to a brainwave 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) while being worn on one ear of the user.

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

[0090] FIG. 8 may be the result of a user wearing a wearable device (310) performing a clenching and unclenching motion.

[0091] FIG. 8(a) is a graph showing the movement of a user's body (e.g., jaw) wearing a wearable device (310). For example, referring to FIG. 8(a), a user wearing the wearable device (310) can perform the action of clenching and opening 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), while a user wearing the wearable device (310) performs a clenching and unclenching motion, a high-frequency component (the dotted line portion of FIG. 8(b)) can be observed according to the contraction and relaxation of the user's jaw muscles. Accordingly, the movement of the user's body (e.g., jaw) can be confirmed based on the detection of the high-frequency component.

[0093] FIG. 8(c) is a graph showing the signal of FIG. 8(b) transformed (e.g., Fourier transform) and displayed by frequency components. For example, referring to FIG. 8(c), when a Fourier transform (e.g., STFT (short-time Fourier transform)) is performed on the signal obtained based on the potential difference between the first electrode (314) and the second electrode (315), the high-frequency components (e.g., EMG signal) and / or low-frequency components (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 identified. As a result of performing a Fourier transform (e.g., STFT (short-time Fourier transform)) on a signal obtained based on the potential difference between the first electrode (314) and the second electrode (315), high-frequency components (e.g., EMG signal) (e.g., 20 Hz or higher), medium-frequency components (e.g., brainwave signal) (e.g., 4 to 20 Hz), and / or low-frequency components (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) may be identified. High-frequency components, medium-frequency components, and low-frequency components may be concepts that are relatively distinct from one another. At least some of the high-frequency components may differ from at least some of the medium-frequency components. At least some of the medium-frequency components may differ from at least some of the low-frequency components. Low-frequency components may differ from high-frequency components. The high-frequency component may include frequency components in a range different from the mid-frequency component or the low-frequency component. The low-frequency component may include frequency components in a range different from 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 higher) (e.g., 20 Hz or higher and 128 Hz or lower).For example, if the high-frequency component includes a frequency component of a frequency (e.g., 30 Hz) that falls within a specified range (e.g., 20 Hz or higher) (e.g., 20 Hz or higher and 128 Hz or lower), it may be said that at least a portion of the high-frequency component includes a frequency component of the specified range (e.g., 20 Hz or higher) (e.g., 20 Hz or higher and 128 Hz or lower). For example, at least a portion of the low-frequency component may include a frequency component of the specified range (e.g., 4 Hz or lower) (e.g., 1 Hz or higher and 4 Hz or lower). For example, if the low frequency component includes a frequency component of a frequency (e.g., 3 Hz) that is included in 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 a portion of the low frequency component includes a frequency component of 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 show the waveform of a signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) while the user is consuming food. That is, FIG. 9 may correspond to a eating motion during the user's movement. For example, the user's movement may be determined to include a eating motion based on the high-frequency component (e.g., the box portion of FIG. 9) being detected more than a specified number of times during a specified period.

[0096] For example, FIG. 10 may show the waveform of a signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) while the user is grinding their teeth. That is, FIG. 10 may correspond to a teeth grinding motion or a teeth clenching motion during the user's movement. For example, the user's movement may be determined to include a teeth clenching motion based on the high-frequency component (e.g., the boxed portion of FIG. 10) being continuously detected for a specified period. For example, the user's movement may be determined to include a teeth grinding motion based on the high-frequency component (e.g., the boxed portion of FIG. 10) being detected while an event corresponding to the user's sleep is being detected. 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 detected through the sensor (317) of the wearable device (310) and / or data detected 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) via the communication circuit (201). The electronic device (200) can confirm that the user is sleeping based on the data provided from the wearable device (310). For example, the electronic device (200) can confirm that the user is sleeping based on the data confirmed through the sensor (206). For example, the electronic device (200) can confirm 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 confirmed through the sensor (317) of the wearable device (310) and / or data confirmed through the sensor (206) of the electronic device (200) may include data on biosignals confirmed using a biosensor, data on the movement of the wearable device (310) confirmed using an accelerometer or gyroscope, or data on the movement of the user confirmed using an image sensor. According to one embodiment, an event corresponding to the user's sleep may be an event confirming that the probability of the user being asleep is greater than or equal to a reference value at a specific time. For example, the electronic device (200) may confirm a pre-specified sleep time of the user (e.g., from 10:00 PM to 6:00 AM). The electronic device (200) may confirm an event corresponding to the user's sleep based on the fact that the current time falls within the pre-specified sleep time of the user.

[0097] The descriptions of FIGS. 1 through 10 may be applied to the embodiments described below. When describing the embodiments described below, parts that overlap with the descriptions of FIGS. 1 through 10 may be omitted. Parts omitted in the description of each figure or each embodiment may be understood by referring to the descriptions in other figures or embodiments.

[0098] FIG. 11 is a flowchart of a method of operation of a wearable device and an electronic device according to one embodiment. FIG. 11 can be explained with reference to previously described embodiments and 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, a wearable device (310) (e.g., processor (312)) can obtain a first signal caused by the movement of a user based on the potential difference between a first electrode (314) and a second electrode (315). The wearable device (310) can obtain a first signal caused by the movement of a user 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., one ear). According to one embodiment, as described above, the potential difference between the first electrode (314) and the second electrode (315) may be adjusted using the signal of the ground electrode (316).

[0101] In operation 1103, according to one embodiment, a wearable device (310) (e.g., processor (312)) can identify an EMG signal based on a first signal of operation 1101. The EMG signal may correspond to a high-frequency component included in the first signal. A high-frequency component included in the first signal may be referred to as an EMG signal. The wearable device (310) can identify an EMG signal containing a high-frequency component based on the first signal. For example, the wearable device (310) can identify an EMG signal containing a high-frequency component by performing 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). The range of the high-frequency component can be understood by referring to the description in FIG. 8.

[0102] In operation 1105, according to one embodiment, a wearable device (310) (e.g., processor (312)) may transmit an EMG signal identified in operation 1103 to an electronic device (200). For example, the transmitted EMG signal may be a signal corresponding to the EMG signal (e.g., the 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 a communication circuit (311). The electronic device (200) may receive an EMG signal (e.g., a signal corresponding to the EMG signal) from the wearable device (310) using a communication circuit (201).

[0103] In operation 1107, according to one embodiment, an electronic device (200) (e.g., processor (202)) may identify high-frequency components included in an EMG signal based on an EMG signal received from a wearable device (310) (e.g., a signal corresponding to the EMG signal). Identifying high-frequency components may involve identifying the presence of high-frequency components or identifying information regarding high-frequency components (e.g., number of detections, detection frequency, detection interval). The range of high-frequency components can be understood by referring to the description in FIG. 8.

[0104] In operation 1109, according to one embodiment, an electronic device (200) (e.g., processor (202)) can determine a user's movement (e.g., eating, teeth grinding, teeth clenching) based on a high-frequency component identified in operation 1107. The electronic device (200) can determine whether the movement corresponding to the high-frequency component identified in operation 1107 corresponds to a predetermined movement. The electronic device (200) can determine whether the high-frequency component identified in operation 1107 corresponds to any of the predetermined movements. The electronic device (200) can determine that the user's movement includes a specific movement based on the high-frequency component identified in operation 1107 satisfying a condition corresponding to a specific movement. For example, a condition corresponding to a specific movement may be as follows. For example, the electronic device (200) may determine that the user's movement includes eating motions based on the high-frequency component of the 1107 motion being detected more than a specified number of times during a specified period. For example, the electronic device (200) may determine that the user's movement includes teeth clenching motions based on the high-frequency component of the 1107 motion being detected continuously during a specified period. For example, the electronic device (200) may determine that the user's movement includes teeth grinding motions based on detecting the high-frequency component of the 1107 motion while an event corresponding to the user's sleep is detected. 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 detected through the sensor (317) of the wearable device (310) and / or data detected 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 the user is sleeping at a specific time when the probability of the user being asleep is greater than or equal to a reference value.Events corresponding to the user's sleep have been described above.

[0105] In operation 1111, according to one embodiment, an 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 a eating movement based on determining the user's movement as a eating movement. 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 a teeth grinding movement based on determining the user's movement as a teeth grinding movement. 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 a teeth clenching movement based on determining the user's movement as a teeth clenching movement. 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 operation of a wearable device and an electronic device according to one embodiment. FIG. 12 can be explained with reference to previously described embodiments and 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, a wearable device (310) (e.g., processor (312)) may acquire a first signal caused by a user's movement based on the potential difference between a first electrode (314) and a second electrode (315). Operation 1201 may be the same or similar to operation 1101 of FIG. 11. Redundant descriptions are omitted.

[0109] In operation 1203, according to one embodiment, a wearable device (310) (e.g., processor (312)) may detect an EMG signal based on a first signal of operation 1101. Operation 1203 may be the same or similar to operation 1103 of FIG. 11. Redundant descriptions are 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 or similar to operation 1105 of FIG. 11. Redundant descriptions are omitted.

[0111] In operation 1207, according to one embodiment, an electronic device (200) (e.g., processor (202)) can identify high-frequency components included in an EMG signal based on an EMG signal received from a wearable device (310) (e.g., a signal corresponding to the EMG signal). The range of high-frequency components can be understood by referring to the description in FIG. 8. Operation 1207 may be the same or similar to operation 1107 of FIG. 11. Redundant descriptions are omitted.

[0112] In operation 1209, according to one embodiment, a wearable device (310) (e.g., processor (312)) can identify a noise signal based on a first signal of operation 1101. The noise signal may correspond to a low-frequency component included in the first signal. A low-frequency component included in the first signal may be referred to as a noise signal. The wearable device (310) can identify a noise signal containing a low-frequency component based on the first signal. For example, the wearable device (310) can identify a noise signal containing a low-frequency component by performing 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). The range of the low-frequency component can be understood by referring to the description in FIG. 8.

[0113] In operation 1211, according to one embodiment, a wearable device (310) (e.g., processor (312)) may transmit a noise signal identified in operation 1209 to an electronic device (200). For example, the transmitted noise signal may be a signal corresponding to the noise signal (e.g., the 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 a 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 a communication circuit (201).

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

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

[0116] In operation 1215, according to one embodiment, an electronic device (200) (e.g., processor (202)) can determine a user's movement (e.g., eating, teeth grinding, teeth clenching) based on a high-frequency component identified in operation 1207 and a low-frequency component identified in operation 1213. The electronic device (200) can determine a user's movement (e.g., eating, teeth grinding, teeth clenching) based on a high-frequency component identified in operation 1207 by using a low-frequency component identified in operation 1213 as a reference. For example, the electronic device (200) can determine a user's movement (e.g., eating, teeth grinding, teeth clenching) by comparing a low-frequency component and a high-frequency component. For example, the electronic device (200) can determine a user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) by correcting a high-frequency component to a low-frequency component. For example, the electronic device (200) can determine a 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 1109 motion). For example, the electronic device (200) can determine that the user's movement includes a eating motion based on the high-frequency component being detected more than a specified number of times during a specified period using the low-frequency component as a reference. For example, the electronic device (200) can determine that the user's movement includes a teeth clenching motion based on the high-frequency component being detected continuously during a specified period using the low-frequency component as a reference. For example, the electronic device (200) can determine that the user's movement includes teeth grinding motions based on checking high-frequency components using low-frequency components as a reference while an event corresponding to the user's sleep is being confirmed.According to one embodiment, the event corresponding to the user's sleep may be an event confirming that the user is sleeping based on data confirmed through a sensor (317) of a wearable device (310) and / or data confirmed through a sensor (206) of an electronic device (200). According to one embodiment, the event corresponding to the user's sleep may be an event confirming that the user is sleeping at a specific time when the probability of the user being asleep 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, an 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 1215. For example, the electronic device (200) may execute a first function corresponding to a eating movement based on determining the user's movement as a eating movement. 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 a teeth grinding movement based on determining the user's movement as a teeth grinding movement. 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 a teeth clenching movement based on determining the user's movement as a teeth clenching movement. 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 operation of a wearable device and an electronic device according to one embodiment. FIG. 13 can be explained with reference to previously described embodiments and 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, a wearable device (310) (e.g., a processor (312)) may acquire a first signal caused by a user's movement based on the potential difference between a first electrode (314) and a second electrode (315). Operation 1301 may be the same or similar to operation 1101 of FIG. 11. Redundant descriptions are omitted.

[0121] In operation 1303, according to one embodiment, a wearable device (310) (e.g., a processor (312)) may transmit a first signal identified in operation 1301 to an electronic device (200). For example, the first signal transmitted 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 a signal corresponding to the first signal to the electronic device (200) using a communication circuit (311). The electronic device (200) may receive the first signal of operation 1301 (e.g., a signal corresponding to the first signal) from the wearable device (310) using a communication circuit (201).

[0122] In operation 1305, according to one embodiment, an electronic device (200) (e.g., processor (202)) may identify an EMG signal containing a high-frequency component based on a 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., Fourier transform) on the first signal of operation 1303 and identify the high-frequency component (or the EMG signal containing the high-frequency component). Identifying the high-frequency component may involve identifying the presence of the high-frequency component or identifying information regarding the high-frequency component (e.g., number of detections, detection frequency, detection interval). The range of the high-frequency component can be understood by referring to the description in FIG. 8.

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

[0124] In operation 1309, according to one embodiment, an 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 a eating movement based on determining the user's movement as a eating movement. 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 a teeth grinding movement based on determining the user's movement as a teeth grinding movement. 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 a teeth clenching movement based on determining the user's movement as a teeth clenching movement. 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 operation of a wearable device and an electronic device according to one embodiment. FIG. 14 can be explained with reference to previously described embodiments and 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, a wearable device (310) (e.g., a processor (312)) may acquire a first signal caused by a user's movement based on the potential difference between a first electrode (314) and a second electrode (315). Operation 1401 may be the same or similar to operation 1301 of FIG. 13. Redundant descriptions are omitted.

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

[0129] In operation 1405, according to one embodiment, an electronic device (200) (e.g., processor (202)) may identify an EMG signal containing a high-frequency component based on a first signal of operation 1403 (e.g., a signal corresponding to the first signal). The range of the high-frequency component can be understood by referring to the description in FIG. 8. Operation 1405 may be the same or similar to operation 1305 of FIG. 13. Redundant descriptions are omitted.

[0130] In operation 1407, according to one embodiment, an electronic device (200) (e.g., processor (202)) may identify a noise signal containing a low-frequency component based on a 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., Fourier transform) on the first signal of operation 1403 and identify the low-frequency component (or the noise signal containing the low-frequency component). Identifying the low-frequency component may involve identifying the presence of the low-frequency component or identifying information regarding the low-frequency component (e.g., number of detections, detection frequency, detection interval). The range of the low-frequency component can be understood by referring to the description in FIG. 8.

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

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

[0133] FIG. 15 is a flowchart of a method of operation for a wearable device, a server, and an electronic device according to one embodiment. FIG. 16 is a flowchart of a method of operation for a wearable device, a server, and an electronic device according to one embodiment. FIG. 15 and FIG. 16 can be explained 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 through 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 parts of the description of the embodiments of FIGS. 15 and 16 may be understood by referring to the description of the embodiments of FIGS. 11 to 14.

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

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

[0138] In operation 1505, according to one embodiment, a wearable device (310) (e.g., processor (312)) may transmit an EMG signal identified in operation 1503 to a server (400). Except for the transmission of the EMG signal to the server (400), operation 1505 may be identical 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 a 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] Operations 1507 and 1509 may be performed or omitted.

[0140] In operation 1507, according to one embodiment, a wearable device (310) (e.g., processor (312)) can 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 can be understood by referring to the description in FIG. 8. Operation 1507 may be identical or similar to operation 1209 of FIG. 12. Redundant descriptions are omitted.

[0141] In operation 1509, according to one embodiment, a wearable device (310) (e.g., processor (312)) may transmit a noise signal identified in operation 1507 to a server (400). Except for the transmission of the noise signal to the server (400), operation 1509 may be identical 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 a 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] According to one embodiment, the 1505 operation and the 1509 operation may be a single operation. For example, the electronic device (200) may transmit a single signal, comprising an EMG signal identified in the 1503 operation (e.g., a signal corresponding to the EMG signal of the 1505 operation) and a noise signal identified in the 1507 operation (e.g., a signal corresponding to the noise signal), to a server (400) using a communication circuit (311). The server (400) may receive a single signal from the wearable device (310), comprising an EMG signal identified in the 1503 operation (e.g., a signal corresponding to the EMG signal of the 1505 operation) and a noise signal identified in the 1507 operation (e.g., a signal corresponding to the noise signal).

[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 a signal from the server (400) using a 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) can transmit a signal including an EMG signal and a noise signal received from the 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, an electronic device (200) (e.g., processor (202)) may determine a user's movement (e.g., eating, teeth grinding, teeth clenching) based on a signal received from a 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), and determine a user's movement (e.g., eating, teeth grinding, teeth clenching) based on the identified high-frequency component (and / or a low-frequency component). The range of the high-frequency component and the range of the low-frequency component can be understood by referring to the description in FIG. 8. The operation of determining a user's movement is omitted here as it has been described above.

[0145] In operation 1515, according to one embodiment, an 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 a function corresponding to the user's movement has been described above. This will be explained in more detail in 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 the user's movements (e.g., eating, teeth grinding, teeth clenching) based on a signal provided from the wearable device (310) (e.g., EMG signal and / or noise signal). For example, the server (400) may identify high-frequency components (and / or low-frequency components) based on a signal received from the wearable device (310), and determine the user's movements (e.g., eating, teeth grinding, teeth clenching) based on the identified high-frequency components (and / or low-frequency components). According to one embodiment, the server (400) may transmit a signal containing information about a user's movement determined by the server (400) to the electronic device (200). The electronic device (200) may determine a user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the signal received from the server (400) (e.g., a signal containing information about a user's movement). Subsequently, the electronic device (200) may perform the action. According to one embodiment, the server (400) may transmit a signal containing information about a user's movement determined by the server (400) to the wearable device (310). The wearable device (310) may transmit a signal (e.g., a signal containing information about a user's movement) to the electronic device (200) based on receiving the signal (e.g., a signal containing information about a user's movement) from the server (400). The electronic device (200) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on a signal received from the wearable device (310) (e.g., a signal containing information about the user's movement). Afterward, the electronic device (200) can perform the 1515 action.

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

[0148] In operation 1603, according to one embodiment, a wearable device (310) (e.g., processor (312)) may transmit a first signal identified in operation 1601 to a server (400). Except for the first signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) being transmitted to the server (400), operation 1603 may be identical or similar to operation 1303 of FIG. 13. For example, based on identifying the first signal in operation 1601, the wearable device (310) may transmit a signal corresponding to the first signal to the server (400) using a 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 a signal from the server (400) using a 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 the 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 the 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, an electronic device (200) (e.g., processor (202)) can determine a user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on a signal received from a server (400). For example, the electronic device (200) can identify a high-frequency component (and / or low-frequency component) based on a signal received from the server (400) (e.g., a signal corresponding to a first signal obtained based on the potential difference between the first electrode (314) and the second electrode (315) of the wearable device (310). For example, the electronic device (200) can perform a transformation (e.g., Fourier transform) on the signal received from the server (400) and identify the high-frequency component (and / or low-frequency component). The electronic device (200) can determine the user's movements (e.g., eating, teeth grinding, teeth clenching) 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 in FIG. 8. The operation of determining the user's movements is omitted here as previously described.

[0151] In operation 1609, according to one embodiment, an electronic device (200) (e.g., a 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 a function corresponding to the user's movement has been described above. This will be explained in more detail in FIGS. 17, 18, and 19.

[0152] According to one embodiment, an operation corresponding to operation 1607 among the operations of FIG. 16 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 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 the 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., Fourier transform) on the signal received from the server (400) and identify the high-frequency component (and / or 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 component (and / or low-frequency component). According to one embodiment, the server (400) can transmit a signal containing information about the user's movement determined by the server (400) to an 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., a signal containing information about the user's movement). Subsequently, the electronic device (200) can perform the 1609 operation. According to one embodiment, the server (400) can transmit a signal containing information about the user's movement determined by the server (400) to a wearable device (310). The wearable device (310) can transmit a signal (e.g., a signal containing information about the user's movement) to the electronic device (200) based on receiving a signal (e.g., a signal containing information about the user's movement) from the server (400). The electronic device (200) can determine the user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the signal (e.g., a signal containing information about the user's movement) received from the wearable device (310).Afterwards, the electronic device (200) can perform 1609 operations.

[0153] According to one embodiment, among the operations of FIG. 16, the operation of identifying an EMG signal (and / or noise signal) may be performed by the server (400). For example, the server (400) may not perform the operation 1605. For example, the server (400) may identify a high-frequency component (and / or 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 the 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., Fourier transform) on the signal received from the server (400) and identify the high-frequency component (and / or low-frequency component). According to one embodiment, the server (400) may transmit a signal containing information about a high-frequency component (and / or a low-frequency component) identified by the server (400) to an electronic device (200). The electronic device (200) may identify the high-frequency component (and / or a low-frequency component) based on the signal received from the server (400) (e.g., a signal containing information about the high-frequency component (and / or a low-frequency component)). The electronic device (200) may determine a user's movement (e.g., eating motion, teeth grinding motion, teeth clenching motion) based on the identified high-frequency component (and / or a low-frequency component). Subsequently, the electronic device (200) may perform the 1609 operation. According to one embodiment, the server (400) may transmit a signal containing information about a high-frequency component (and / or a low-frequency component) identified by the server (400) to a wearable device (310). The wearable device (310) can transmit a signal (e.g., a signal containing information about a high-frequency component (and / or a low-frequency component)) to an electronic device (200) based on receiving a signal (e.g., a signal containing information about a high-frequency component (and / or a low-frequency component)) from a server (400).The electronic device (200) can identify a high-frequency component (and / or low-frequency component) based on a signal received from the wearable device (310) (e.g., a signal containing information about a high-frequency component (and / or low-frequency component)). The electronic device (200) can determine a 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). Subsequently, the electronic device (200) can perform the 1609 action.

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

[0155] FIG. 17 is a diagram illustrating a function corresponding to a eating motion. FIG. 18 is a diagram illustrating a function corresponding to a teeth grinding motion. FIG. 19 is a diagram illustrating a function corresponding to a teeth clenching motion.

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

[0157] According to one embodiment, the electronic device (200) (e.g., 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 the screen (1800) of FIG. 18. Referring to FIG. 18, the operation of performing the second function may include displaying the screen (1800), which includes at least one of the number of teeth grinding, the time of teeth grinding, or an object indicating teeth grinding, on the display (204) of the electronic device (200). The second function may include other operations other than displaying the screen (1800) of FIG. 18. For example, the operation of performing the second function may include outputting a pre-specified sound corresponding 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 corresponding to the teeth grinding motion through the haptic module (179) of the electronic device (200). It may include an operation that outputs vibration.

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

[0159] Those skilled in the art will understand that the embodiments described herein may be applied interchangeably to the extent applicable. For example, those skilled in the art will understand that at least some operations of an embodiment described herein may be omitted, and at least some operations of an embodiment may be applied in combination.

[0160] The technical tasks intended to be accomplished in this document are not limited to those mentioned above, and other technical tasks not mentioned will be clearly understood by those skilled in the art to which this document belongs from the description below.

[0161] The effects obtainable from the present disclosure are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art to which the present disclosure belongs from the description below.

[0162] According to one embodiment, the 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) for storing instructions. The instructions may cause the wearable device (310) to perform at least one operation when executed by the at least one processor (312). The at least one operation may include acquiring a first signal based on the 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 one of the user's ears. The at least one operation may include identifying an electromyogram (EMG) signal containing a high frequency component based on the first signal. The above at least one operation may include transmitting the EMG signal to the electronic device (200) through the communication circuit (311) so that the electronic device (200) performs a function corresponding to the movement.

[0163] According to one embodiment, in the wearable device (310), the operation of verifying the EMG signal may include performing a Fourier transform on the first signal and verifying the EMG signal including the high-frequency component. At least some of the high-frequency component may include a frequency component 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 acquiring the first signal may include 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) through the communication circuit (311).

[0166] According to one embodiment, in the wearable device (310), the at least one operation may include 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 operation of a wearable device (310) may include an operation of acquiring a first signal based on the 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 containing 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) performs a function corresponding to the movement.

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

[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 acquiring the first signal may include the 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) through the communication circuit (311).

[0171] According to one embodiment, the method of the wearable device (310) may include the 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 operation 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).

[0172] According to one embodiment, in a storage medium storing computer-readable instructions, the instructions may cause the wearable device (310) to perform at least one operation when executed by at least one processor (312) of the wearable device (310). The at least one operation may include an operation of obtaining a first signal based on the movement of the user, based on the potential difference between the first electrode (314) and the 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 confirming an electromyogram (EMG) signal containing a high frequency component based on the first signal. The above at least one operation may include transmitting the EMG signal to the electronic device (200) through the communication circuit (311) of the wearable device (310) so that the electronic device (200) performs a function corresponding to the movement.

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

[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 acquiring the first signal may include the 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) through 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 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 operation 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, the electronic device (200) may include a communication circuit (201), at least one processor (202), and a memory (203) for storing instructions. The instructions may cause the electronic device (200) to perform at least one operation when executed by the at least one processor (202). The at least one operation may include receiving a signal for confirming a user's movement from a wearable device (310) through the communication circuit (201). Here, the signal may include a first signal obtained based on the 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 operation may include an operation of determining the user's movement 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 (200) corresponding to the movement.

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

[0179] According to one embodiment, in the electronic device (200), the operation of verifying the second EMG signal may include 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 component may include frequency components of 20 Hz or higher and 128 Hz or lower.

[0180] According to one embodiment, in the electronic device (200), the operation of receiving the signal may include the 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 the 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 user's movement includes a meal operation based on the high-frequency component being confirmed more than a specified number of times during a specified period. The at least one operation may include an operation of executing a first function of the electronic device (200) based on determining that the user's movement includes a meal operation.

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

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

[0184] According to one embodiment, in the electronic device (200), the event corresponding to the user’s sleep may include an event confirming that the user is sleeping, or an event confirming that the probability of the user being sleeping is greater than or equal to a reference value at a specific time, 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 the operation of displaying a screen including at least one of the number of teeth grinding, the time of teeth grinding, or an object indicating teeth grinding 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 the operation of outputting sound through the speaker (205) of the electronic device (200). The operation of executing the second function may include the operation of outputting vibration through the haptic module (179) of the electronic device (200).

[0187] According to one embodiment, in the electronic device (200), the at least one operation may include an operation of determining that the user's movement includes a teeth-grinding motion based on the high-frequency component being continuously detected for a specified period. The at least one operation may include an operation of executing a third function of the electronic device (200) based on determining that the user's movement includes the teeth-grinding motion.

[0188] According to one embodiment, in the electronic device (200), the at least one operation may include receiving a first noise signal obtained by the wearable device (310) based on the first signal from the wearable device (310) through the communication circuit (201), or confirming a second noise signal based on the received first signal. The operation of determining the movement of the user may include determining the movement of the user based on the high frequency component by using a low frequency component confirmed 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) for storing instructions. The instructions may cause the electronic device (200) to perform at least one operation when executed by the at least one processor (202). The at least one operation may include receiving a signal for confirming a user's movement 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 the potential difference between the first electrode (314) and the 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 operation may include an operation of determining the user's movement 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 (200) corresponding to the movement.

[0190] According to one embodiment, a method of operation of an electronic device (200) may include receiving a signal for confirming a user's movement 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 the 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 method may include determining the user's movement based on a high frequency component confirmed based on the signal. The method may include executing a function of the electronic device (200) corresponding to the movement.

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

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

[0193] According to one embodiment, in the method of operation of the electronic device (200), the operation of receiving the signal may include 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 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 user's movement includes a meal operation based on the high-frequency component being detected more than a specified number of times during a specified period. The method may include an operation of executing a first function of the electronic device (200) based on determining that the user's movement includes a meal operation.

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

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

[0197] According to one embodiment, in the method of operation of the electronic device (200), the event corresponding to the user’s sleep may include an event confirming that the user is sleeping, or an event confirming that the probability of the user being sleeping is greater than or equal to a reference value at a specific time, 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 method of operation of the electronic device (200), the operation of executing the second function may include the operation of displaying a screen including at least one of the number of teeth grinding, the time of teeth grinding, or an object indicating teeth grinding on the display (204) of the electronic device (200).

[0199] According to one embodiment, in the method of operating the electronic device (200), the operation of executing the second function may include an operation of outputting sound through the speaker (205) of the electronic device (200). The operation of executing the second function may include an operation of outputting vibration through the 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 user's movement includes a teeth-grinding motion based on the high-frequency component being continuously detected for a specified period. The method may include an operation of executing a third function of the electronic device (200) based on determining that the user's movement includes a teeth-grinding motion.

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

[0202] According to one embodiment, the method of operation of an electronic device (200) may include receiving a signal for confirming a user's movement 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 the potential difference between the first electrode (314) and the 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 above method may include an operation of determining the user's movement based on a high frequency component identified based on the signal. The above method may include an operation of executing a function of the electronic device (200) corresponding to the movement.

[0203] According to one embodiment, in a storage medium storing computer-readable instructions, the instructions may cause the electronic device (200) to perform at least one operation when executed by at least one processor (312) of the electronic device (200). The at least one operation may include receiving a signal for confirming a user's movement 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 the 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 operation may include an operation of determining the user's movement 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 (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 receiving the first signal from the wearable device (310) through the communication circuit (201). The at least one operation may include confirming 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 determining the movement of the user based on the high-frequency component confirmed based on the second EMG signal.

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

[0206] According to one embodiment, in the storage medium associated with the electronic device (200), the operation of receiving the signal may include 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 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 user's movement includes a meal operation based on the high-frequency component being confirmed more than a specified number of times during a specified period. The at least one operation may include an operation of executing a first function of the electronic device (200) based on determining that the user's movement includes a meal operation.

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

[0209] According to one embodiment, in the storage medium associated with the electronic device (200), the at least one operation may include determining that the user's movement includes a teeth grinding motion based on confirming the high-frequency component while an event corresponding to the user's sleep is confirmed. The at least one operation may include executing a second function of the electronic device (200) based on determining that the user's movement 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 user’s sleep may include an event confirming that the user is sleeping, or an event confirming that the probability of the user being sleeping is greater than or equal to a reference value at a specific time, 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 displaying a screen containing at least one of the number of teeth grinding, the time of teeth grinding, or an object indicating teeth grinding on the 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 the operation of outputting sound through the speaker (205) of the electronic device (200). The operation of executing the second function may include the operation of outputting vibration through the 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 user's movement includes a teeth-grinding motion based on the high-frequency component being continuously detected for a specified period. The at least one operation may include an operation of executing a third function of the electronic device (200) based on determining that the user's movement includes a teeth-grinding motion.

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

[0215] According to one embodiment, in a storage medium storing computer-readable instructions, the instructions may cause the electronic device (200) to perform at least one operation when executed by at least one processor (312) of the electronic device (200). The at least one operation may include receiving a signal for confirming a user's movement 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 the potential difference between the first electrode (314) and the 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 operation may include an operation of determining the user's movement 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 (200) corresponding to the movement.

[0216] The electronic device according to the various embodiments disclosed in this document may be of various forms. The electronic device may include, for example, a portable communication device (e.g., a smartphone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a consumer electronics device. The electronic device according to the embodiments of this document is not limited to the devices described above.

[0217] The various embodiments of this document and the terms used therein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various modifications, equivalents, or substitutions of said 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 said items unless the relevant context clearly indicates otherwise. In this document, phrases such as "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" may each include any one of the items listed together in the corresponding phrase, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used simply to distinguish said components from other said components and do not limit said components in any other aspect (e.g., importance or order). Where any (e.g., 1st) component is referred to as “coupled” or “connected” to another (e.g., 2nd) component, with or without the terms “functionally” or “communicationly,” it means that said any component may be connected to said other component directly (e.g., via a wire), wirelessly, or through a third component.

[0218] The term “module” as used in the 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, for example. A module may be a component formed integrally, or a minimum unit of said component or a part thereof 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 this document may be implemented as software (e.g., a program) comprising one or more instructions stored on a storage medium readable by a machine (e.g., an electronic device). For example, a processor (e.g., a controller) of the machine may call at least one of 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 called instruction. The one or more instructions may include code generated by a compiler or code that can be executed by an interpreter. The storage medium readable by the machine may be provided in the form of a non-transitory storage medium. Here, "non-transitory" simply 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 the various embodiments disclosed herein may be provided as included in a computer program product. The computer program product may be traded between a seller and a buyer as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or distributed online (e.g., download or upload) through an application store (e.g., Play Store™) or directly between two user devices (e.g., smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily created on a device-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0221] According to various embodiments, each component (e.g., module or program) of the components described above may include a singular or multiple entities, and some of the multiple entities may be separated and placed in other components. According to various embodiments, one or more of the components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Generally or additionally, multiple components (e.g., module or program) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the multiple components in the same or similar manner as those performed by the corresponding component among the multiple components prior to integration. According to various embodiments, operations performed by the module, program, or other components 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

In the electronic device (200), Communication circuit (201); At least one processor (202); and It includes 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, and The above at least one operation is: The operation of receiving a signal for confirming a user's movement from a wearable device (310) through the communication circuit (201), wherein the signal includes a first signal obtained based on the 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 by the wearable device (310) based on the first signal. An operation to determine the movement of the user based on a high frequency component identified based on the above signal, and A method including an operation that executes the function of the electronic device (200) corresponding to the above movement. Electronic device (200). In Article 1, The operation of receiving the above signal is, The method includes the operation of receiving the first signal from the wearable device (310) through the communication circuit (201), and The above at least one operation is, Based on the received first signal, the method includes an operation to identify a second EMG signal including the high-frequency component, and The operation of determining the above movement of the above user is, A method comprising determining the movement of the user based on the high-frequency component identified based on the second EMG signal, Electronic device (200). In Article 1 or Article 2, The operation of verifying the second EMG signal includes performing a Fourier transform on the first signal and verifying the second EMG signal including the high-frequency component. At least a portion of the above high-frequency components includes frequency components of 20 Hz or higher and 128 Hz or lower, Electronic device (200). In any one of paragraphs 1 to 3, The operation of receiving the above signal is, The method includes the operation of receiving the first EMG signal from the wearable device (310) through the communication circuit (201), and The operation of determining the above movement of the above user is, A method comprising determining the movement of the user based on the high-frequency component identified based on the first EMG signal, Electronic device (200). In any one of paragraphs 1 to 4, The above at least one operation is, An action of determining that the user's movement includes a meal motion based on the fact that the above high-frequency component is confirmed more than a specified number of times during a specified period, and Based on the determination that the movement of the user includes the eating motion, the operation of executing the first function of the electronic device (200) Electronic device (200). In any one of paragraphs 1 to 5, The operation of executing the above-mentioned first function is, The operation of displaying on the display (204) of the electronic device (200) a screen including at least one of the start time and end time of the above-mentioned eating action, the period between the start time and the end time, the number of chews, the average number of chews, or a food intake guide by the above-mentioned eating action during the period, Electronic device (200). In any one of paragraphs 1 to 6, The above at least one operation is, An operation of determining that the user's movement includes a teeth grinding motion based on confirming the high-frequency component while an event corresponding to the user's sleep is confirmed, and Based on the determination that the movement of the user includes the teeth grinding motion, the operation of executing the second function of the electronic device (200) Electronic device (200). In any one of paragraphs 1 through 7, The above event corresponding to the above user's above sleep is, An event confirming 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 confirms that the probability of the above user being asleep is greater than or equal to a reference value at a specific time, Electronic device (200). In any one of paragraphs 1 through 8, The operation of executing the above second function is, The operation of displaying a screen including at least one of the number of teeth grinding, the time of teeth grinding, or an object indicating teeth grinding on the display (204) of the electronic device (200). Electronic device (200). In any one of Articles 1 to 9, The operation of executing the above second function is, The operation of outputting sound through the speaker (205) of the electronic device (200), or The operation of outputting vibration through the haptic module (179) of the electronic device (200), Electronic device (200). In any one of claims 1 to 10, The above at least one operation is, An action of determining that the user's movement includes a teeth-grinding motion based on the fact that the above high-frequency component is continuously confirmed over a specified period, and Based on the determination that the movement of the user includes the teeth-grinding motion, the operation of executing the third function of the electronic device (200) Electronic device (200). In any one of claims 1 to 11, The above at least one operation is, 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 Based on the received first signal, the operation includes verifying a second noise signal, and The operation of determining the above movement of the above user is, A method comprising an operation of determining the user's movement 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 device (200). In the method of operating the electronic device (200), The 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 the 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 by the wearable device (310) based on the first signal. An operation to determine the movement of the user based on a high frequency component identified based on the above signal, and A method including an operation that executes the function of the electronic device (200) corresponding to the above movement. method. In a storage medium for storing computer-readable instructions, the instructions cause the electronic device (200) to perform at least one operation when executed by at least one processor (202) of the electronic device (200). The above at least one operation is: The 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 the 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 by the wearable device (310) based on the first signal. An operation to determine the movement of the user based on a high frequency component identified based on the above signal, and A method including an operation that executes the function of the electronic device (200) corresponding to the above movement. Recording media.

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