Electronic device, method, and storage medium for controlling measurement of wearable devices

Abstract

This electronic device may comprise a display, a communication circuit, a memory storing instructions, and at least one processor. The instructions, when executed individually or collectively by the at least one processor, may cause the electronic device to: receive, from a first wearable device worn on a first part of a user's body, a first signal indicating the start of an event identified by the first wearable device; transmit, to a second wearable device worn on a second part of the user's body, a command to change an operation cycle of a biometric sensor of the second wearable device from a first cycle to a second cycle shorter than the first cycle; receive, from the first wearable device, a second signal indicating the end of the event identified by the first wearable device; transmit, to the second wearable device, a request to transmit biometric data; receive the biometric data from the second wearable device; and display health information obtained by using the biometric data.

Description

Electronic device, method, and storage medium for controlling measurement of wearable devices

[0001] The following descriptions relate to electronic devices, methods, and storage media for controlling measurements of wearable devices.

[0002] The electronic device may include a wearable device that can be worn by a user. For example, the wearable device may be worn on a body part of the user. For example, the body part may include the user's eye part, wrist part, ear part, or finger part. The wearable device may include at least one sensor. For example, the wearable device may measure data using the at least one sensor.

[0003] The above information may be provided as background art to aid in understanding the present disclosure. No claim or determination is made as to whether any of the above is applicable as prior art related to the present disclosure.

[0004] An electronic device according to embodiments of the present disclosure is provided. The electronic device may include a display. The electronic device may include communication circuitry. The electronic device may include a memory storing instructions and including one or more storage media. The electronic device may include at least one processor including a processing circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to receive, through the communication circuitry, a first signal from a first wearable device worn on a first part of a user's body, indicating the start of an event identified by the first wearable device. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to transmit, based on the first signal, a command to a second wearable device worn on a second part of the body of the user, via the communication circuit, to change an operating cycle of a biometric sensor of the second wearable device from a first cycle to a second cycle shorter than the first cycle. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device, after transmitting the command, to receive, via the communication circuit, a second signal from the first wearable device, indicating an end of the event identified by the first wearable device. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to transmit, via the communication circuit, a request to the second wearable device to transmit biometric data.The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to receive the biometric data from the second wearable device via the communication circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to display, on the display, health information obtained at least in part using the biometric data.

[0005] A first wearable device according to embodiments of the present disclosure is provided. The first wearable device may include a display. The first wearable device may include communication circuitry. The first wearable device may include a memory storing instructions and including one or more storage media. The first wearable device may include at least one processor including a processing circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the first wearable device to transmit, through the communication circuitry, a command to a second wearable device worn on a second part of a user's body, different from a first part of the user's body on which the first wearable device is worn, to change an operating cycle of a biometric sensor of the second wearable device from a first cycle to a second cycle shorter than the first cycle, based on identifying the start of an event. The instructions, when individually or collectively executed by the at least one processor, may cause the first wearable device to transmit, via the communication circuit, a request to the second wearable device to transmit biometric data based on identifying the end of the event. The instructions, when individually or collectively executed by the at least one processor, may cause the first wearable device to receive, via the communication circuit, the biometric data from the second wearable device. The instructions, when individually or collectively executed by the at least one processor, may cause the first wearable device to display, on the display, health information obtained at least in part using the biometric data.

[0006] A method performed by an electronic device according to embodiments of the present disclosure is provided. The method may include receiving, from a first wearable device worn on a first part of a user's body, a first signal indicating the start of an event identified by the first wearable device. The method may include transmitting, based on the first signal, a command to a second wearable device worn on a second part of the user's body, to change an operating cycle of a biometric sensor of the second wearable device from the first cycle to a second cycle shorter than the first cycle. After transmitting the command, the method may include receiving, from the first wearable device, a second signal indicating the end of the event identified by the first wearable device. The method may include transmitting, to the second wearable device, a request to transmit biometric data. The method may include receiving the biometric data from the second wearable device. The method may include an operation of displaying health information obtained at least in part using the biometric data.

[0007] A non-transitory computer-readable storage medium according to embodiments of the present disclosure is provided. The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by at least one processor of an electronic device including a display and communication circuitry, cause the electronic device to receive, through the communication circuitry, from a first wearable device worn on a first part of a user's body, a first signal indicating the start of an event identified by the first wearable device. The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to transmit, based on the first signal, a command to a second wearable device worn on a second part of the user's body, through the communication circuitry, to change an operating cycle of a biometric sensor of the second wearable device from a first cycle to a second cycle shorter than the first cycle. The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to, after transmitting the command, receive, from the first wearable device, via the communication circuit, a second signal indicating termination of the event identified by the first wearable device. The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to transmit, via the communication circuit, a request to transmit biometric data to the second wearable device.The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to receive the biometric data from the second wearable device via the communication circuit. The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to display, on the display, health information acquired at least in part using the biometric data.

[0008] FIG. 1 is a block diagram of an electronic device within a network environment according to various embodiments.

[0009] Figure 2 illustrates an exemplary block diagram of wearable devices and electronic devices.

[0010] FIG. 3 illustrates an example of an operational flow for a method in which an electronic device controls measurements of wearable devices based on sleep events.

[0011] FIG. 4 illustrates an example of how an electronic device controls measurements of wearable devices based on whether the user is sleeping.

[0012] FIG. 5A illustrates an example of how an electronic device controls measurements of wearable devices based on whether a first wearable device is in low power mode.

[0013] Figure 5b illustrates examples of a user interface (UI) that includes an icon indicating that a specified function is activated.

[0014] FIG. 6 illustrates an example of an operational flow for a method in which an electronic device controls measurements of wearable devices based on a low power mode event.

[0015] Figure 7 illustrates an example of a method for continuously measuring sensor data over a reference period of time in wearable devices.

[0016] Figure 8 illustrates an example of a method for continuously measuring exercise results.

[0017] FIG. 9 illustrates an example of an operational flow for a method in which a first wearable device controls measurements of a second wearable device based on an event.

[0018] Figures 10a to 10c illustrate examples of a user interface (UI) of a software application for providing health information.

[0019] The terms used in this disclosure are used only to describe specific embodiments and may not be intended to limit the scope of other embodiments. The singular expression may include plural expressions unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by those of ordinary skill in the art described in this disclosure. Terms defined in general dictionaries among the terms used in this disclosure may be interpreted as having the same or similar meaning in the context of the relevant technology, and shall not be interpreted in an idealized or overly formal sense unless explicitly defined in this disclosure. In some cases, even if a term is defined in this disclosure, it cannot be interpreted to exclude embodiments of the present disclosure.

[0020] The various embodiments of the present disclosure described below illustrate a hardware-based approach as an example. However, since the various embodiments of the present disclosure include techniques utilizing both hardware and software, the various embodiments of the present disclosure do not exclude a software-based approach.

[0021] In addition, in the present disclosure, expressions such as "more than" or "less than" may be used to determine whether a specific condition is satisfied or fulfilled, but this is merely a description for expressing an example and does not exclude descriptions such as "more than" or "less than." A condition described as "more than" may be replaced with "more than," a condition described as "less than" may be replaced with "less than," and a condition described as "more than and less than" may be replaced with "more than and less than." In addition, hereinafter, "A" to "B" mean at least one of the elements from A (including A) to B (including B). hereinafter, "C" and / or "D" mean at least one of "C" or "D," that is, including {"C", "D", "C" and "D"}. hereinafter, the meaning of "about E" may be replaced with a value within a margin of error of ±5% or ±10% based on E.

[0022] FIG. 1 is a block diagram of an electronic device within a network environment according to various embodiments.

[0023] Referring to FIG. 1, in a network environment (100), an electronic device (101) may communicate with an electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of an electronic device (104) or a server (108) via a second network (199) (e.g., a long-range wireless communication network). According to one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0024] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or calculations. According to one embodiment, as at least a part of the data processing or calculations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or a secondary processor (123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor)) that can operate independently or together therewith. For example, if the electronic device (101) includes a main processor (121) and a secondary processor (123), the secondary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a specified function. The secondary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0025] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, on the electronic device (101) itself where the artificial intelligence model is executed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0026] The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or non-volatile memory (134).

[0027] The program (140) may be stored as software in the memory (130) and may include, for example, an operating system (142), middleware (144), or an application (146).

[0028] The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0029] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0030] The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. In one embodiment, the display module (160) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

[0031] The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can acquire sound through the input module (150), output sound through the sound output module (155), or an external electronic device (e.g., electronic device (102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (101).

[0032] The sensor module (176) can detect the operating status (e.g., power or temperature) of the electronic device (101) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (176) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0033] The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) with an external electronic device (e.g., the electronic device (102)). In one embodiment, the interface (177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0034] The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., electronic device (102)). According to one embodiment, the connection terminal (178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0035] A haptic module (179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. In one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0036] The camera module (180) can capture still images and videos. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0037] The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented, for example, as at least a part of a power management integrated circuit (PMIC).

[0038] A battery (189) may power at least one component of the electronic device (101). In one embodiment, the battery (189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0039] The communication module (190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., electronic device (102), electronic device (104), or server (108)), and the performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (190) may include a wireless communication module (192) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (194) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device (104) via a first network (198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (199) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (192) can verify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196).

[0040] The wireless communication module (192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0041] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), may be selected from the plurality of antennas by, for example, the 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. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (197).

[0042] 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 a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high-frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high-frequency band.

[0043] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0044] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (101). The electronic device (101) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0045] As described above, the electronic device (101) can be connected to a plurality of external electronic devices. For example, the plurality of external electronic devices can be a plurality of wearable devices. For example, the electronic device (101) can be connected to a first wearable device and a second wearable device. The first wearable device can be worn on a first part of the user's body, and the second wearable device can be worn on a second part of the user's body that is different from the first part.

[0046] For example, when the plurality of wearable devices connected to the electronic device (101) are worn on the body of the user, each of the plurality of wearable devices can perform measurement. For example, the first wearable device may include at least one sensor and may perform the measurement by obtaining sensor data using the at least one sensor. For example, the second wearable device may include at least one sensor and may perform the measurement by obtaining sensor data using the at least one sensor. For example, the measurement may include periodic measurement or aperiodic measurement. As a non-limiting example, the aperiodic measurement may include a one-time measurement. For example, the periodic measurement may perform repeated measurements according to a period (or time interval, operation period, operation cycle). For example, the periodic measurement may include measurements performed according to the period within a specific time duration.

[0047] When there is one wearable device connected to the electronic device (101), the electronic device (101) can receive sensor data acquired by measurement performed by the one wearable device and display information generated using the sensor data. For example, the generated information can include health information. In addition, when the electronic device (101) is connected to the plurality of wearable devices and the plurality of wearable devices are worn on the body, each of the plurality of wearable devices can perform the measurement. In one example, the at least one sensor included in the first wearable device may be similar to (or include) the at least one sensor included in the second wearable device. Accordingly, the sensor data acquired by the first wearable device can substantially correspond to the sensor data acquired by the second wearable device. In other words, performing a measurement using a plurality of wearable devices can produce substantially the same result as performing a measurement using a single wearable device. As each of the plurality of wearable devices performs measurements, unnecessary duplicate measurements may be performed and battery consumption of the plurality of wearable devices may increase.

[0048] Hereinafter, the present disclosure describes an electronic device, a method, and a storage medium for reducing redundant measurements by a plurality of wearable devices and reducing battery consumption of the plurality of wearable devices. The electronic device, the method, and the storage medium according to the present disclosure can reduce battery consumption of the plurality of wearable devices by not performing redundant measurements of the same sensor data when the plurality of wearable devices are worn. For example, the electronic device, the method, and the storage medium according to the present disclosure can alternately perform measurements between the plurality of wearable devices according to an event. Accordingly, the electronic device, the method, and the storage medium according to the present disclosure can reduce battery consumption of the plurality of wearable devices by reducing unnecessary redundant processes (or measurements) performed between the plurality of wearable devices. In addition, the electronic device, method, and storage medium according to the present disclosure can prevent (or reduce) confusion in measurement results due to data duplication, since the plurality of wearable devices do not acquire duplicate sensor data. In addition, in one example, even if not connected to the electronic device (101), the first wearable device among the plurality of wearable devices can control the second wearable device among the plurality of wearable devices, thereby reducing duplicate measurements between the first wearable device and the second wearable device.

[0049] In the following FIG. 2, exemplary components included in an electronic device (101) and each of the plurality of wearable devices, and a connection state between the electronic device (101) and the plurality of wearable devices are described.

[0050] Figure 2 illustrates an exemplary block diagram of wearable devices and electronic devices.

[0051] FIG. 2 illustrates an exemplary block diagram of an electronic device (101) and a plurality of wearable devices (103, 105) worn on a user's body (200). For example, the plurality of wearable devices (103, 105) may include a first wearable device (103) and a second wearable device (105). In FIG. 2, the plurality of wearable devices (103, 105) are illustrated as including two wearable devices, but the present disclosure is not limited thereto. For example, the plurality of wearable devices (103, 105) may include three or more wearable devices.

[0052] Referring to FIG. 2, for example, a first wearable device (103) may be worn on a first part (201) of a user's body (200). For example, a second wearable device (105) may be worn on a second part (202) of the user's body (200). For example, the first part (201) may include a wrist part of the body (200). For example, the first wearable device (103) may have a watch shape. For example, the first wearable device (103) may be referred to as a watch or a smart watch. For example, the second part (202) may include a finger part of the body (200). For example, the second wearable device (105) may have a ring shape. For example, the second wearable device (105) may be referred to as a ring or a smart ring.

[0053] In the example of FIG. 2, the body (200) is depicted as representing the hand portion of the user, but the present disclosure is not limited thereto. For example, the first wearable device (103) may be worn on the wrist portion of the left hand of the user's body (200), and the second wearable device (105) may be worn on the finger portion of the right hand of the user's body (200). Alternatively, for example, the first wearable device (103) may be worn on the wrist portion of the user's body (200), and the second wearable device (105) may be worn on the ear portion of the user's body (200). In this case, for example, the second wearable device (105) may be referred to as earbuds, earphones, or TWS (true wireless stereo). Alternatively, for example, the first wearable device (103) may be worn on the head of the user's body (200), and the second wearable device (105) may be worn on the wrist of the user's body (200). In this case, the first wearable device (103) may be referred to as an XR (extended reality) device or an HMD (head mounted display). Alternatively, for example, the first wearable device (103) may be worn on the body of the user's body (200), and the second wearable device (105) may be worn on the wrist of the user's body (200). In this case, the first wearable device (103) may be referred to as a clothing-type device or a clothing-type wearable device.

[0054] Referring to FIG. 2, each of the first wearable device (103) and the second wearable device (105) may be connected to the electronic device (101) based on a wired network and / or a wireless network. For example, the wired network may include a network such as the Internet, a local area network (LAN), a wide area network (WAN), or a combination thereof. For example, the wireless network may include a network such as long term evolution (LTE), 5g new radio (NR), wireless fidelity (WiFi), Zigbee, near field communication (NFC), Bluetooth, Bluetooth low-energy (BLE), or a combination thereof. The first wearable device (103) may be directly connected to the electronic device (101), or may be indirectly connected via one or more routers and / or access points (APs). Each of the first wearable device (103) and the second wearable device (105) of FIG. 2 may be an example of the electronic device (102) of FIG. 1 connected to the electronic device (101).

[0055] For example, a first connection (221) may be established between a first wearable device (103) and an electronic device (101). For example, the first connection (221) may be established based on a communication technique such as Bluetooth, BLE, or WiFi. For example, a second connection (222) may be established between a second wearable device (105) and an electronic device (101). For example, the second connection (222) may be established based on a communication technique such as Bluetooth, BLE, or WiFi. In FIG. 2, a third connection (223) between the first wearable device (103) and the second wearable device (105) is illustrated as not being established, but the present disclosure is not limited thereto. For example, a third connection (223) may be established between the first wearable device (103) and the second wearable device (105). In this case, the first wearable device (103) can directly control the measurement of the second wearable device (105) through the third connection (223). For specific details related to this, reference may be made to FIG. 9.

[0056] In the example of FIG. 2, the initial establishment of each of the first connection (221), the second connection (222), and the third connection (223) may be referred to as pairing. For example, the first connection (221) may be paired when the electronic device (101) searches for the first wearable device (103), authenticates the first wearable device (103), and registers the first wearable device (103). Similarly, the first connection (221) may also be paired when, for example, the first wearable device (103) searches for the electronic device (101), authenticates the electronic device (101), and registers the electronic device (101). The second connection (222) and the third connection (223) may each be substantially identically applied to the first connection (221).

[0057] Referring to FIG. 2, according to one embodiment, an electronic device (101) may include a processor (211), a display (213), a communication circuit (215), and a memory (217). However, the embodiments of the present disclosure are not limited thereto. For example, the processor (211), the display (213), the communication circuit (215), and the memory (217) may be electrically and / or operably coupled with each other by a communication bus. Hereinafter, operably coupled hardware components may mean that a direct connection or an indirect connection is established between the hardware components, either wired or wireless, such that a second hardware component is controlled by a first hardware component among the hardware components. Although illustrated based on different blocks, the embodiment is not limited thereto, and some of the hardware components illustrated in FIG. 2 (e.g., at least a portion of the processor (211) and the communication circuit (215)) may be included in a single integrated circuit such as a system on a chip (SoC) or a system in package (SIP). The type and / or number of hardware components included in the electronic device (101) is not limited to those illustrated in FIG. 2. For example, the electronic device (101) may include only some of the hardware components illustrated in FIG. 2.

[0058] According to one embodiment, the processor (211) of the electronic device (101) may include a hardware component for processing data based on one or more instructions. The hardware component for processing data may include, for example, an arithmetic and logic unit (ALU), a floating point unit (FPU), and a field programmable gate array (FPGA). As an example, the hardware component for processing data may include a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP), a microcontroller (MCU), and / or a neural processing unit (NPU). The number of processors (211) may be one or more. For example, the processor (211) may have a multi-core processor structure such as a dual core, a quad core, or a hexa core. The processor (211) of FIG. 2 may be substantially identical to the content of the processor (120) of FIG. 1.

[0059] For example, the processor (211) may include various processing circuits and / or multiple processors. For example, the term "processor" as used herein, including in the claims, may include various processing circuits including at least one processor, one or more of which may be configured to individually and / or collectively perform the various functions described below in a distributed manner. As used herein, when "processor," "at least one processor," and "one or more processors" are described as being configured to perform various functions, these terms encompass, for example, and without limitation, situations where one processor performs some of the recited functions and other processor(s) perform other parts of the recited functions, and also situations where one processor may perform all of the recited functions. Additionally, the at least one processor may include a combination of processors that perform the various functions enumerated / disclosed, for example, in a distributed manner. At least one processor may execute program instructions to achieve or perform the various functions.

[0060] According to one embodiment, a display (213) of an electronic device (101) can output visualized information to a user of the electronic device (101). For example, the display (213) can be controlled by a processor (211) including circuits such as a CPU, a GPU (graphic processing unit), and / or a DPU (display processing unit) to output visualized information to the user. The display (213) can include a flexible display, a flat panel display (FPD), and / or electronic paper. The display (213) can include a liquid crystal display (LCD), a plasma display panel (PDP), and / or one or more light emitting diodes (LEDs). The LEDs can include organic LEDs (OLEDs). Embodiments are not limited thereto, and for example, if the electronic device (101) includes a lens for transmitting external light (or ambient light), the display (213) may include a projector (or projection assembly) for projecting light onto the lens. In one embodiment, the display (213) may be referred to as a display panel and / or a display module.

[0061] According to one embodiment, the communication circuit (215) of the electronic device (101) may include hardware for supporting transmission and / or reception of electrical signals between the first wearable device (103) and the electronic device (101), and between the second wearable device (105) and the electronic device (101). The communication circuit (215) may include, for example, at least one of a modem, an antenna, and an optical / electronic (O / E) converter. The communication circuit (215) may support transmission and / or reception of electrical signals based on various types of communication means, such as Ethernet, Bluetooth, Bluetooth low energy (BLE), ZigBee, long term evolution (LTE), and 5G new radio (NR). Specific details regarding the communication circuit (215) of FIG. 2 may be substantially identical to the communication module (190) and / or the antenna module (197) of FIG. 1.

[0062] According to one embodiment, the memory (217) of the electronic device (101) may include a hardware component for storing data and / or instructions input to and / or output from the processor (211). The memory may include, for example, a volatile memory such as a random-access memory (RAM), and / or a non-volatile memory such as a read-only memory (ROM). The volatile memory may include, for example, at least one of a dynamic RAM (DRAM), a static RAM (SRAM), a cache RAM, and a pseudo SRAM (PSRAM). The non-volatile memory may include, for example, at least one of a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), a flash memory, a hard disk, a compact disc, and an embedded multimedia card (eMMC). The specific details of the memory (217) of Fig. 2 can be applied substantially identically to the details of the memory (130) of Fig. 1.

[0063] According to one embodiment, one or more instructions (or commands) representing operations and / or actions to be performed on data by the processor (211) of the electronic device (101) may be stored in the memory (217) of the electronic device (101). A set of one or more instructions may be referred to as a program, firmware, an operating system, a process, a routine, a sub-routine, and / or an application. Hereinafter, when an application is installed in the electronic device (e.g., the electronic device (101)), it may mean that one or more instructions provided in the form of an application are stored in the memory (217), and that the one or more applications are stored in a format executable by the processor of the electronic device (e.g., a file having an extension designated by the operating system of the electronic device (101)). According to one embodiment, the electronic device (101) may execute one or more instructions stored in the memory (217) to perform the operation of FIG. 3. For example, the one or more instructions, when executed by the processor (211), may cause the electronic device (101) to perform at least some of the operations of FIG. 3.

[0064] Referring to FIG. 2, according to one embodiment, a first wearable device (103) may include a processor (231), a biometric sensor (233), a motion sensor (235), a display (237), a communication circuit (239), and a memory (241). However, the embodiments of the present disclosure are not limited thereto. For example, the processor (231), the biometric sensor (233), the motion sensor (235), the display (237), the communication circuit (239), and the memory (241) may be electronically and / or operably coupled with each other by a communication bus. Hereinafter, operably coupled hardware components may mean that a direct connection or an indirect connection is established between the hardware components, either wired or wireless, such that a second hardware component is controlled by a first hardware component among the hardware components. Although illustrated based on different blocks, the embodiment is not limited thereto, and some of the hardware components illustrated in FIG. 2 (e.g., at least a portion of the processor (231) and the communication circuit (239)) may be included in a single integrated circuit such as a system on a chip (SoC) or a system in package (SIP). The type and / or number of hardware components included in the first wearable device (103) is not limited to those illustrated in FIG. 2. For example, the first wearable device (103) may include only some of the hardware components illustrated in FIG. 2.

[0065] According to one embodiment, the processor (231) of the first wearable device (103) may include a hardware component for processing data based on one or more instructions. The hardware component for processing data may include, for example, an arithmetic and logic unit (ALU), a floating point unit (FPU), and a field programmable gate array (FPGA). As an example, the hardware component for processing data may include a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP), a microcontroller (MCU), and / or a neural processing unit (NPU). The number of processors (231) may be one or more. For example, the processor (231) may have a multi-core processor structure such as a dual core, a quad core, or a hexa core. The processor (231) of FIG. 2 may be substantially identical to the content of the processor (120) of FIG. 1.

[0066] For example, the processor (231) may include various processing circuits and / or multiple processors. For example, the term "processor" as used herein, including in the claims, may include various processing circuits including at least one processor, one or more of which may be configured to individually and / or collectively perform the various functions described below in a distributed manner. As used herein, when "processor," "at least one processor," and "one or more processors" are described as being configured to perform various functions, these terms encompass, for example, and without limitation, situations where one processor performs some of the recited functions and other processor(s) perform other parts of the recited functions, and also situations where one processor may perform all of the recited functions. Additionally, the at least one processor may include a combination of processors that perform the various functions enumerated / disclosed, for example, in a distributed manner. At least one processor may execute program instructions to achieve or perform the various functions.

[0067] According to one embodiment, the biometric sensor (233) of the first wearable device (103) may be used to perform measurements on the first part (201) on which the first wearable device (103) is worn. For example, the first wearable device (103) may obtain biometric data representing biometric information of the user (or the first part (201)) by performing measurements on the first part (201) using the biometric sensor (233). For example, the biometric sensor (233) may include a photoplethysmogram (PPG) sensor for obtaining heart rate, which is the biometric data representing the biometric information of the user. However, the present disclosure is not limited thereto. For example, the biometric sensor (233) may further include a temperature sensor for obtaining body temperature, which is the biometric data. For example, the biosensor (233) may further include a BIA (bioelectrical impedance analysis) sensor for obtaining the above biometric data, body composition.

[0068] According to one embodiment, the motion sensor (235) of the first wearable device (103) may be used to perform measurements on the first part (201) on which the first wearable device (103) is worn. For example, the first wearable device (103) may obtain motion data representing movement of the user (or the first part (201)) by performing measurements on the first part (201) using the motion sensor (235). For example, the motion sensor (235) may include an acceleration sensor for obtaining an acceleration value of the user (or the first part (201)), which is the motion data. For example, the motion sensor (235) may include a gyro sensor for obtaining an angular velocity value of the user (or the first part (201)), which is the motion data.

[0069] For example, the biometric sensor (233) and the motion sensor (235) may be referred to as at least one sensor. For example, the biometric data and the motion data may be referred to as sensor data. For example, the first wearable device (103) may obtain the sensor data using the at least one sensor according to the operation cycle (or the cycle of periodic measurement) of the at least one sensor. Or, for example, the first wearable device (103) may obtain the sensor data within a specified time interval (or the time interval of aperiodic measurement) using the at least one sensor.

[0070] Referring to the above, examples of a biometric sensor (233) and a motion sensor (235) are described, but the present disclosure is not limited thereto. For example, the at least one sensor may further include other sensors (e.g., a proximity sensor, a force sensor, a touch sensor, a pressure sensor, a Hall sensor).

[0071] According to one embodiment, the display (237) of the first wearable device (103) can output visualized information to the user of the first wearable device (103). For example, the display (237) can be controlled by a processor (231) including circuits such as a CPU, a GPU (graphic processing unit), and / or a DPU (display processing unit) to output visualized information to the user. The display (237) can include a flexible display, a flat panel display (FPD), and / or electronic paper. The display (237) can include a liquid crystal display (LCD), a plasma display panel (PDP), and / or one or more light emitting diodes (LEDs). The LEDs can include organic LEDs (OLEDs). Embodiments are not limited thereto, and for example, if the first wearable device (103) includes a lens for transmitting external light (or ambient light), the display (237) may include a projector (or projection assembly) for projecting light onto the lens. In one embodiment, the display (237) may be referred to as a display panel and / or a display module.

[0072] According to one embodiment, the communication circuit (239) of the first wearable device (103) may include hardware for supporting transmission and / or reception of electrical signals between the electronic device (101) and the first wearable device (103), and between the second wearable device (105) and the first wearable device (103). The communication circuit (239) may include, for example, at least one of a modem, an antenna, and an optical / electronic (O / E) converter. The communication circuit (239) may support transmission and / or reception of electrical signals based on various types of communication means, such as Ethernet, Bluetooth, Bluetooth low energy (BLE), ZigBee, long term evolution (LTE), and 5G new radio (NR). Specific details regarding the communication circuit (239) of FIG. 2 can be applied substantially identically to the communication module (190) and / or antenna module (197) of FIG. 1.

[0073] According to one embodiment, the memory (241) of the first wearable device (103) may include a hardware component for storing data and / or instructions input to and / or output from the processor (231). The memory may include, for example, a volatile memory such as a random-access memory (RAM), and / or a non-volatile memory such as a read-only memory (ROM). The volatile memory may include, for example, at least one of a dynamic RAM (DRAM), a static RAM (SRAM), a cache RAM, and a pseudo SRAM (PSRAM). The non-volatile memory may include, for example, at least one of a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), a flash memory, a hard disk, a compact disc, and an embedded multimedia card (eMMC). The specific details of the memory (241) of Fig. 2 can be applied substantially identically to the details of the memory (130) of Fig. 1.

[0074] According to one embodiment, one or more instructions (or commands) representing operations and / or actions to be performed on data by the processor (231) of the first wearable device (103) may be stored in the memory (241) of the first wearable device (103). A set of one or more instructions may be referred to as a program, firmware, an operating system, a process, a routine, a sub-routine, and / or an application. Hereinafter, when an application is installed in an electronic device (e.g., the first wearable device (103)), it may mean that one or more instructions provided in the form of an application are stored in the memory (241), and that the one or more applications are stored in a format executable by the processor of the electronic device (e.g., a file having an extension designated by the operating system of the first wearable device (103)). According to one embodiment, the first wearable device (103) may perform the operations of FIG. 9 by executing one or more instructions stored in the memory (241). For example, the one or more instructions, when executed by the processor (231), may cause the first wearable device (103) to perform at least some of the operations of FIG. 9.

[0075] Referring to FIG. 2, according to one embodiment, a second wearable device (105) may include a processor (251), a biometric sensor (253), a motion sensor (255), a communication circuit (257), and a memory (259). However, the embodiments of the present disclosure are not limited thereto. For example, the processor (251), the biometric sensor (253), the motion sensor (255), the communication circuit (257), and the memory (259) may be electronically and / or operably coupled with each other by a communication bus. Hereinafter, operably coupled hardware components may mean that a direct connection or an indirect connection is established between the hardware components, either wired or wireless, such that a second hardware component is controlled by a first hardware component among the hardware components. Although illustrated based on different blocks, the embodiment is not limited thereto, and some of the hardware components illustrated in FIG. 2 (e.g., at least a portion of the processor (251) and the communication circuit (257)) may be included in a single integrated circuit such as a system on a chip (SoC) or a system in package (SIP). The type and / or number of hardware components included in the second wearable device (105) is not limited to those illustrated in FIG. 2. For example, the second wearable device (105) may include only some of the hardware components illustrated in FIG. 2.

[0076] According to one embodiment, the processor (251) of the second wearable device (105) may include a hardware component for processing data based on one or more instructions. The hardware component for processing data may include, for example, an arithmetic and logic unit (ALU), a floating point unit (FPU), and a field programmable gate array (FPGA). As an example, the hardware component for processing data may include a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP), a microcontroller (MCU), and / or a neural processing unit (NPU). The number of processors (251) may be one or more. For example, the processor (251) may have a multi-core processor structure such as a dual core, a quad core, or a hexa core. The processor (251) of FIG. 2 may be substantially identical to the content of the processor (120) of FIG. 1.

[0077] For example, the processor (251) may include various processing circuits and / or multiple processors. For example, the term "processor" as used herein, including in the claims, may include various processing circuits including at least one processor, one or more of which may be configured to individually and / or collectively perform the various functions described below in a distributed manner. As used herein, when "processor," "at least one processor," and "one or more processors" are described as being configured to perform various functions, these terms encompass, for example, and without limitation, situations where one processor performs some of the recited functions and other processor(s) perform other parts of the recited functions, and also situations where one processor may perform all of the recited functions. Additionally, the at least one processor may include a combination of processors that perform the various functions enumerated / disclosed, for example, in a distributed manner. At least one processor may execute program instructions to achieve or perform the various functions.

[0078] According to one embodiment, the biometric sensor (253) of the second wearable device (105) may be used to perform measurements on the second part (202) on which the second wearable device (105) is worn. For example, the second wearable device (105) may obtain biometric data representing biometric information of the user (or the second part (202)) by performing measurements on the second part (202) using the biometric sensor (253). For example, the biometric sensor (253) may include a photoplethysmogram (PPG) sensor for obtaining heart rate, which is the biometric data representing the biometric information of the user. However, the present disclosure is not limited thereto. For example, the biometric sensor (253) may further include a temperature sensor for obtaining body temperature, which is the biometric data. As a non-limiting example, the second wearable device (105) may not include a BIA sensor, compared to the first wearable device (103).

[0079] According to one embodiment, the motion sensor (255) of the second wearable device (105) may be used to perform measurements on the second part (202) on which the second wearable device (105) is worn. For example, the second wearable device (105) may obtain motion data representing movement of the user (or the second part (202)) by performing measurements on the second part (202) using the motion sensor (255). For example, the motion sensor (255) may include an acceleration sensor for obtaining an acceleration value of the user (or the second part (202)), which is the motion data. For example, the motion sensor (255) may include a gyro sensor for obtaining an angular velocity value of the user (or the second part (202)), which is the motion data.

[0080] For example, the biometric sensor (253) and the motion sensor (255) may be referred to as at least one sensor. For example, the biometric data and the motion data may be referred to as sensor data. For example, the second wearable device (105) may obtain the sensor data using the at least one sensor according to the operation cycle (or the cycle of periodic measurement) of the at least one sensor. Or, for example, the second wearable device (105) may obtain the sensor data within a specified time interval (or the time interval of aperiodic measurement) using the at least one sensor.

[0081] Referring to the above, examples of a biometric sensor (253) and a motion sensor (255) are described, but the present disclosure is not limited thereto. For example, the at least one sensor may further include other sensors (e.g., a proximity sensor, a force sensor, a touch sensor, a pressure sensor, a Hall sensor).

[0082] According to one embodiment, the communication circuit (257) of the second wearable device (105) may include hardware for supporting transmission and / or reception of electrical signals between the electronic device (101) and the second wearable device (105), and between the first wearable device (103) and the second wearable device (105). The communication circuit (257) may include, for example, at least one of a modem, an antenna, and an optical / electronic (O / E) converter. The communication circuit (257) may support transmission and / or reception of electrical signals based on various types of communication means, such as Ethernet, Bluetooth, Bluetooth low energy (BLE), ZigBee, long term evolution (LTE), and 5G new radio (NR). Specific details regarding the communication circuit (257) of FIG. 2 can be applied substantially identically to the communication module (190) and / or antenna module (197) of FIG. 1.

[0083] According to one embodiment, the memory (259) of the second wearable device (105) may include a hardware component for storing data and / or instructions input to and / or output from the processor (251). The memory may include, for example, a volatile memory such as a random-access memory (RAM), and / or a non-volatile memory such as a read-only memory (ROM). The volatile memory may include, for example, at least one of a dynamic RAM (DRAM), a static RAM (SRAM), a cache RAM, and a pseudo SRAM (PSRAM). The non-volatile memory may include, for example, at least one of a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), a flash memory, a hard disk, a compact disc, and an embedded multimedia card (eMMC). The specific details of the memory (259) of Fig. 2 can be applied substantially identically to the details of the memory (130) of Fig. 1.

[0084] According to one embodiment, one or more instructions (or commands) representing operations and / or actions to be performed on data by the processor (251) of the second wearable device (105) may be stored in the memory (259) of the second wearable device (105). A set of one or more instructions may be referred to as a program, firmware, an operating system, a process, a routine, a sub-routine, and / or an application. Hereinafter, when an application is installed in an electronic device (e.g., the second wearable device (105)), it may mean that one or more instructions provided in the form of an application are stored in the memory (259), and that the one or more applications are stored in a format executable by the processor of the electronic device (e.g., a file having an extension designated by the operating system of the second wearable device (105)).

[0085] Although not illustrated in FIG. 2, the first wearable device (103) and / or the second wearable device (105) may include an output means for outputting information. For example, the first wearable device (103) and / or the second wearable device (105) may include a speaker for outputting auditory information (e.g., an acoustic signal or sound). Or, for example, the first wearable device (103) and / or the second wearable device (105) may include an actuator (or motor) for outputting tactile information (or haptic feedback) based on vibration. Or, for example, the first wearable device (103) and / or the second wearable device (105) may include a light-emitting unit. For example, the light-emitting unit may emit visible light. For example, the light-emitting unit may provide a notification to the user by emitting visible light. In addition, for example, the second wearable device (105) may further include a display for outputting visual information.

[0086] Referring to FIG. 2, the first wearable device (103) may include a biometric sensor (233) and a motion sensor (235) that the second wearable device (105) includes. For example, the first wearable device (103) may include more sensors than the sensors that the second wearable device (105) includes because it has a larger mounting space, and thus may acquire more types of sensor data than the sensor data that can be acquired by the second wearable device (105).

[0087] For example, the electronic device (101) can detect that both the first wearable device (103) and the second wearable device (105) are worn on the body (200). For example, the electronic device (101) can detect that the first wearable device (103) is worn by receiving a signal from the first wearable device (103) through the first connection (221). For example, the electronic device (101) can detect that the second wearable device (105) is worn by receiving a signal from the second wearable device (105) through the second connection (222). For example, the electronic device (101) may control the first wearable device (103) to activate some sensors (e.g., motion sensor (235)) of at least one sensor of the first wearable device (103) and deactivate the remaining sensors (e.g., biometric sensor (233)) upon detecting that both the first wearable device (103) and the second wearable device (105) are worn. In addition, the electronic device (101) may control the second wearable device (105) to activate some sensors (e.g., biometric sensor (253)) of at least one sensor of the second wearable device (105) and deactivate the remaining sensors (e.g., motion sensor (255)) upon detecting that both the first wearable device (103) and the second wearable device (105) are worn.

[0088] In the present disclosure, deactivating a sensor may include stopping acquisition (or collection, measurement) of data (or sensor data) using the sensor, or changing the state of the sensor to an off state. Alternatively, activating the sensor may include acquiring (or collection, measurement) of data (or sensor data) using the sensor, or changing the state of the sensor to an on state.

[0089] For example, the electronic device (101) may adjust the cycle (or operation cycle) of measurement (or periodic measurement) using at least one sensor of the second wearable device (105) upon receiving a signal indicating the start of an event identified by the first wearable device (103). At this time, the electronic device (101) may stop measurement using at least one sensor of the first wearable device (103) or adjust the cycle (or operation cycle). For example, the event may include sleep of the user. For example, the event indicating sleep of the user may be referred to as a sleep event. For specific details on how the electronic device (101) controls measurements of the first wearable device (103) and the second wearable device (105) according to the sleep event, reference may be made to FIG. 3 below.

[0090] For example, the event may include the execution of a low-power mode of the first wearable device (103). For example, the event indicating the execution of the low-power mode may be referred to as a low-power mode event. For example, when the low-power mode is executed, the first wearable device (103) may deactivate all of the at least one sensor of the first wearable device (103). The deactivation of the at least one sensor may indicate that measurement using the at least one sensor is not performed, or that sensor data is not acquired using the at least one sensor. For specific details on how the electronic device (101) controls the measurement of the first wearable device (103) and the second wearable device (105) according to the low-power mode event, reference may be made to FIG. 5A below.

[0091] FIG. 3 illustrates an example of an operational flow for a method in which an electronic device controls measurements of wearable devices based on sleep events.

[0092] At least some of the methods of FIG. 3 may be performed by the electronic device (101) of FIG. 2. For example, at least some of the methods may be controlled by the processor (211) of the electronic device (101). In the following embodiments, the operations may be performed sequentially, but are not necessarily performed sequentially. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0093] In FIG. 3, for convenience of explanation, it is assumed that the wearable devices are a first wearable device (103) worn on the first part (201) of FIG. 2 and a second wearable device (105) worn on the second part (202). However, the present disclosure is not limited thereto. For example, the wearable devices may include three or more wearable devices, or may include wearable devices worn on parts different from the first part (201) and the second part (202).

[0094] Although not illustrated in FIG. 3, the electronic device (101) can perform pairing with the first wearable device (103) and the second wearable device (105). For example, the electronic device (101) can perform pairing to establish a first connection (e.g., the first connection (221) of FIG. 2) with the first wearable device (103). For example, the electronic device (101) can perform pairing to establish a second connection (e.g., the second connection (222) of FIG. 2) with the second wearable device (105). At this time, the third connection (223) between the first wearable device (103) and the second wearable device (105) may not be paired, or data transmission using the third connection (223) may not be possible.

[0095] Although not illustrated in FIG. 3, the electronic device (101) can detect that the paired first wearable device (103) is worn on the first part (201) and that the paired second wearable device (105) is worn on the second part (202). Based on detecting that both the first wearable device (103) and the second wearable device (105) are worn, the electronic device (101) can transmit a command to deactivate at least one sensor of the second wearable device (105) through the communication circuit (215). For example, the command can instruct to deactivate the motion sensor (255) among the biometric sensors (253) and the motion sensors (255) of the second wearable device (105). For example, after receiving the command, the second wearable device (105) may deactivate the motion sensor (255) among the biometric sensor (253) and the motion sensor (255) of the second wearable device (105). The electronic device (101) causes the second wearable device (105) to deactivate the motion sensor (255) of the second wearable device (105) based on the transmission of the command, thereby reducing the number of wearable devices (103, 105) performing duplicate measurements and reducing battery consumption of the wearable devices (103, 105).

[0096] Referring to FIG. 3, in operation (310), the electronic device (101) may receive a first signal indicating the start of an event identified by the first wearable device (103) from the first wearable device (103) worn on the first part (201) of the user's body (200). For example, the electronic device (101) may receive the first signal indicating the start of the event identified by the first wearable device (103) from the first wearable device (103) through the communication circuit (215).

[0097] For example, the event may include the user's sleep. Since the motion sensor (255) of the second wearable device (105) is deactivated, the user's sleep may be identified by the first wearable device (103).

[0098] For example, when the event is the user's sleep, the first wearable device (103) can identify the start of the event using at least one sensor of the first wearable device (103). For example, the first wearable device (103) can identify the start of the user's sleep using the motion sensor (235). For example, the first wearable device (103) can identify the start of the user's sleep using motion data (e.g., acceleration value and / or angular velocity value) acquired using the motion sensor (235). For example, the first wearable device (103) can generate the first signal based on identifying the start of the event. For example, the first wearable device (103) can transmit the first signal to the electronic device (101).

[0099] In operation (320), the electronic device (101) may transmit a command to the second wearable device (105) worn on the second part (202) of the user's body (200) to change the operation cycle of the biosensor (253) of the second wearable device (105) from a first cycle to a second cycle shorter than the first cycle. For example, the electronic device (101) may transmit a command to the second wearable device (105) through the communication circuit (215) to change the operation cycle for periodic measurement performed using the biosensor (253) of the second wearable device (105) from the first cycle to the second cycle shorter than the first cycle, based on the first signal indicating the start of the event.

[0100] For example, the electronic device (101) may change the cycle of the periodic measurement using the biometric sensor (253) of the second wearable device (105) based on the first signal indicating that the user's sleep has begun. At this time, the motion sensor (255) of the second wearable device (105) may be deactivated.

[0101] For example, before receiving the command to change the cycle to the second cycle, the second wearable device (105) may acquire biometric data based on periodic measurements performed according to the first cycle. As a non-limiting example, the first cycle may be about 10 minutes, and the second cycle may be about 1 second.

[0102] For example, after receiving the command to change the cycle to the second cycle, the second wearable device (105) may perform the periodic measurement according to the second cycle. In one example, during the event, the second wearable device (105) may acquire biometric data according to the periodic measurement performed according to the second cycle using the biometric sensor (253).

[0103] For example, based on receiving the first signal, the electronic device (101) may transmit a command to the first wearable device (103) through the communication circuit (215) to deactivate the biometric sensor (233) among the biometric sensor (233) and the motion sensor (235) of the first wearable device (103). For example, the electronic device (101) may reduce battery consumption of the first wearable device (103) by deactivating the biometric sensor (233) of the first wearable device (103) based on transmission of the command. However, the present disclosure is not limited thereto. For example, based on receiving the first signal, the electronic device (101) may also transmit a command to the first wearable device (103) through the communication circuit (215) to change the cycle of the periodic measurement of the first wearable device (103). For example, the electronic device (101) may transmit a command to change the period of the periodic measurement of the first wearable device (103) from the third period to a fourth period that is longer than the third period. For example, if the fourth period is longer than the third period, battery consumption for the periodic measurement of the first wearable device (103) may be reduced.

[0104] In operation (330), the electronic device (101) may receive a second signal from the first wearable device (103) indicating the end of the event identified by the first wearable device (103). For example, after transmitting the command to change to the second cycle to the second wearable device (105), the electronic device (101) may receive the second signal from the first wearable device (103) indicating the end of the event identified by the first wearable device (103) through the communication circuit (215).

[0105] For example, the first wearable device (103) may generate the second signal based on identifying the end of the event. For example, the first wearable device (103) may transmit the second signal to the electronic device (101).

[0106] In operation (340), the electronic device (101) may transmit a request to the second wearable device (105) to transmit biometric data. For example, the electronic device (101) may transmit the request to the second wearable device (105) to transmit the biometric data obtained according to the periodic measurement performed according to the second period through the communication circuit (215).

[0107] In operation (350), the electronic device (101) may receive the biometric data from the second wearable device (105). For example, the electronic device (101) may receive the biometric data from the second wearable device (105) through the communication circuit (215). For example, the biometric data may be acquired by the second wearable device (105) using the biometric sensor (253) according to periodic measurements performed according to the second cycle during the event (or, during the time period between when the command to change to the second cycle is received and when the request to transmit the biometric data is received).

[0108] In operation (360), the electronic device (101) may display health information acquired at least partially using the biometric data. For example, the electronic device (101) may display the health information acquired at least partially using the biometric data acquired from the second wearable device (105) on the display (213). For example, the electronic device (101) may display the health information by executing a software application (e.g., a health app) for providing the health information based on obtaining an input for displaying the health information. Alternatively, the electronic device (101) may display the health information by executing a software application (e.g., a management app) for managing the wearable device. As a non-limiting example, the health app may be identical to the management app.

[0109] For example, the electronic device (101) may generate the health information using the biometric data acquired from the second wearable device (105). For example, the health information may include a visual object representing information related to the user's health during the event.

[0110] For example, if the event is the user's sleep, the visual object may include at least one of a score for the quality of the user's sleep or a graph related to the user's sleep. For example, the score may be referred to as a sleep score. For example, the graph may be referred to as a sleep graph. For example, the sleep score and the sleep graph may each be generated using the biometric data, such as heart rate. However, the present disclosure is not limited thereto. For example, the sleep score and the sleep graph may each be generated using, in addition to the biometric data, such as heart rate, at least one of the user's temperature, respiration rate, oxygen saturation, information about past sleep records, or information indicating the user's movement during the event (or sleep) (e.g., motion data acquired using an acceleration sensor and / or a gyro sensor).

[0111] In the above example, it is described that the health information is generated using the biometric data acquired from the second wearable device (105), but the present disclosure is not limited thereto. For example, the health information may further utilize sensor data acquired from the first wearable device (103). For example, the sensor data may be acquired using at least one sensor of the first wearable device (103). For example, the at least one sensor may include a biometric sensor (233) and a motion sensor (235). For example, the sensor data may include biometric data acquired using the biometric sensor (233) and / or motion data acquired using the motion sensor (235) during the event (or, during the time period between when the command to change to the fourth cycle is received and when the second signal is transmitted). For example, the biometric data acquired using the biometric sensor (233) may include PPG. For example, the motion data obtained using the motion sensor (235) may include information indicating the user's movement (or tossing and turning during sleep) during the sleep.

[0112] In operation (330) of FIG. 3, the first wearable device (103) may identify the end of the event and transmit the second signal to the electronic device (101). The end of the event may indicate the user's awakening. For example, if the user temporarily wakes up from sleep and then begins to sleep again, this should not be recognized as the end of the event. Therefore, the first wearable device (103) may use a reference time interval to identify the end of the event. For example, after identifying the start of the event, even if motion data acquired using the motion sensor (235) indicates a movement different from the user's sleep, the first wearable device (103) may not identify the end of the event based on the motion data if the time at which the motion data indicating the movement was acquired is less than the reference time interval. As a non-limiting example, the reference time interval may be 30 minutes.

[0113] FIG. 4 illustrates an example of how an electronic device controls measurements of wearable devices based on whether the user is sleeping.

[0114] FIG. 4 illustrates an example (400) of how an electronic device (101) controls measurements of wearable devices (103, 105) based on whether the user is sleeping.

[0115] Referring to example (400), the electronic device (101) may receive a first signal indicating the start of the event from the first wearable device (103) at a first time point (401). For example, the first wearable device (103) may identify (or recognize) the start of the event using motion data acquired using the motion sensor (235). For example, the start of the event may indicate the start of sleep (or initiation of sleep) of the user. In example (400) of FIG. 4, it is described that the electronic device (101) receives the first signal at the first time point (401), but the present disclosure is not limited thereto. For example, at the first time point (401), the first wearable device (103) may identify the start of the event and transmit the first signal to the electronic device (101).

[0116] Also, referring to example (400), the electronic device (101) may receive a second signal indicating the end of the event from the first wearable device (103) at a second time point (402). For example, the first wearable device (103) may identify (or recognize) the end of the event using motion data acquired using the motion sensor (235). For example, the end of the event may indicate the end of sleep (or waking up) of the user. In example (400) of FIG. 4, it is described that the electronic device (101) receives the second signal at the second time point (402), but the present disclosure is not limited thereto. For example, at the second time point (402), the first wearable device (103) may identify the end of the event and transmit the second signal to the electronic device (101).

[0117] For example, a first time interval (410) prior to a first time point (401) may represent a time before the user falls asleep. For example, a second time interval (420) between a first time point (401) and a second time point (402) may represent a time (or sleep time) during which the user sleeps. For example, a third time interval (430) after a second time point (402) may represent a time after the user falls asleep.

[0118] For example, at a point in time prior to the first time interval (410), the electronic device (101) may transmit a command to deactivate at least one sensor of the second wearable device (105) through the communication circuit (215) based on detecting that the first wearable device (103) and the second wearable device (105) are being worn. For example, the command may instruct to deactivate the motion sensor (255) among the biosensors (253) and the motion sensors (255) of the second wearable device (105). For example, the second wearable device (105), after receiving the command, may deactivate the motion sensor (255) among the biosensors (253) and the motion sensors (255) of the second wearable device (105). The electronic device (101) can reduce the number of wearable devices (103, 105) performing duplicate measurements and reduce battery consumption of the second wearable device (105) by causing the second wearable device (105) to deactivate the motion sensor (255) of the second wearable device (105) based on the transmission of the command.

[0119] For example, in the first time interval (410), the second wearable device (105) can perform periodic measurements using the biosensor (253). For example, the second wearable device (105) can perform periodic measurements using the biosensor (253) according to the first cycle (415), which is an operating cycle of the biosensor (253). For example, the second wearable device (105) can obtain biometric data (412) according to the periodic measurements performed according to the first cycle (415).

[0120] For example, at a first time point (401), the second wearable device (105) may receive a command from the electronic device (101) to change the operation cycle of the periodic measurement from the first cycle (415) to the second cycle (425). For example, the second wearable device (105) may change the operation cycle of the periodic measurement performed using the biosensor (253) to the second cycle (425).

[0121] For example, in the second time interval (420), the second wearable device (105) can perform periodic measurements using the biosensor (253). For example, the second wearable device (105) can perform periodic measurements according to the second cycle (425) using the biosensor (253). For example, the second wearable device (105) can obtain biometric data (422) according to the periodic measurements performed according to the second cycle (425). For example, the second cycle (425) can be shorter than the first cycle (415).

[0122] For example, at a second time point (402), the second wearable device (105) may receive a request from the electronic device (101) to transmit biometric data (422) acquired according to periodic measurements performed according to the second cycle (425). For example, the second wearable device (105) may transmit the biometric data (422) to the electronic device (101) based on the request.

[0123] For example, in the third time interval (430), the second wearable device (105) can perform periodic measurements using the biometric sensor (253). For example, in the second time interval (402), the second wearable device (105) can receive a command from the electronic device (101) to change the period of the periodic measurements from the second period (425) to the first period (415). For example, the second wearable device (105) can perform periodic measurements according to the first period (415) using the biometric sensor (253) in the third time interval (430). For example, the second wearable device (105) can acquire biometric data according to the periodic measurements performed according to the first period (415) in the third time interval (430).

[0124] For example, the first wearable device (103) may change the period of the periodic measurement, or at least partially stop (or refrain from, not perform) performing the periodic measurement, based on identifying the start and end of the event.

[0125] In one example, an example of a first wearable device (103) changing the cycle (or, operation cycle) of periodic measurement is described. For example, in a first time interval (410), the first wearable device (103) may perform periodic measurement using a biometric sensor (233). For example, the first wearable device (103) may perform periodic measurement according to a third cycle using the biometric sensor (233). For example, the second wearable device (105) may acquire biometric data (411) according to the periodic measurement performed according to the third cycle.

[0126] For example, at a first time point (401), the first wearable device (103) may identify the start of the event using motion data acquired using the motion sensor (235) and transmit the first signal indicating the start of the event to the electronic device (101). For example, the first wearable device (103) may change the cycle of the periodic measurement from the third cycle to a fourth cycle longer than the third cycle based on transmitting the first signal. Alternatively, for example, after transmitting the first signal, the first wearable device (103) may change the cycle of the periodic measurement to the fourth cycle after receiving a command from the electronic device (101) to change the cycle of the periodic measurement from the third cycle to a fourth cycle longer than the third cycle.

[0127] For example, in the second time interval (420), the first wearable device (103) may perform periodic measurements using the biometric sensor (233). For example, the first wearable device (103) may perform periodic measurements according to the fourth cycle using the biometric sensor (233). For example, the first wearable device (103) may acquire biometric data (421) according to the periodic measurements performed according to the fourth cycle.

[0128] For example, at a second time point (402), the first wearable device (103) may identify the end of the event using motion data acquired using the motion sensor (235) and transmit the second signal indicating the end of the event to the electronic device (101). For example, the first wearable device (103) may change the cycle of the periodic measurement from the fourth cycle to the third cycle based on transmitting the second signal. Alternatively, for example, after transmitting the second signal, the first wearable device (103) may change the cycle of the periodic measurement to the third cycle after receiving a command from the electronic device (101) to change the cycle of the periodic measurement from the fourth cycle to the third cycle.

[0129] For example, in the third time interval (430), the first wearable device (103) can perform periodic measurements using the biometric sensor (233). For example, the first wearable device (103) can perform periodic measurements according to the third cycle using the biometric sensor (233) in the third time interval (430). For example, the first wearable device (103) can acquire biometric data according to the periodic measurements performed according to the third cycle in the third time interval (430).

[0130] Alternatively, in one example, an example is described in which the first wearable device (103) at least partially stops performing periodic measurements. For example, in a first time interval (410), the first wearable device (103) may perform periodic measurements using the biometric sensor (233). For example, the first wearable device (103) may perform periodic measurements using the biometric sensor (233) according to a third cycle. For example, the second wearable device (105) may acquire biometric data (411) according to the periodic measurements performed according to the third cycle.

[0131] For example, at a first time point (401), the first wearable device (103) may identify the start of the event using motion data acquired using the motion sensor (235) and transmit the first signal indicating the start of the event to the electronic device (101). For example, the first wearable device (103) may stop performing periodic measurements based on transmitting the first signal. Alternatively, for example, the first wearable device (103) may stop performing periodic measurements after receiving a command to stop performing periodic measurements from the electronic device (101) after transmitting the first signal.

[0132] For example, in the second time interval (420), the first wearable device (103) may stop periodic measurement using the biosensor (233). For example, the first wearable device (103) may stop periodic measurement using the biosensor (233) in the second time interval (420).

[0133] For example, at a second time point (402), the first wearable device (103) may identify the end of the event using motion data acquired using the motion sensor (235) and transmit the second signal indicating the end of the event to the electronic device (101). For example, the first wearable device (103) may resume performing the interrupted periodic measurement based on transmitting the second signal. Alternatively, for example, the first wearable device (103) may resume performing the interrupted periodic measurement after receiving a command to resume performing the periodic measurement from the electronic device (101) after transmitting the second signal.

[0134] For example, in the third time interval (430), the first wearable device (103) can perform periodic measurements using the biometric sensor (233). For example, the first wearable device (103) can perform periodic measurements according to the third cycle using the biometric sensor (233) in the third time interval (430). For example, the first wearable device (103) can acquire biometric data according to the periodic measurements performed according to the third cycle in the third time interval (430). In the above example, an example is described in which the first wearable device (103) performs periodic measurements according to the third cycle in the first time interval (410) and the third time interval (430) and acquires biometric data, but the present disclosure is not limited thereto. For example, the first wearable device (103) may also stop performing periodic measurements in the first time interval (410) and the third time interval (430). For example, the first wearable device (103) may stop performing the periodic measurements by receiving a command to deactivate the biometric sensor (233) of the first wearable device (103) based on detecting from the electronic device (101) that the first wearable device (103) and the second wearable device (105) are being worn.

[0135] As described above, the electronic device (101) can reduce battery consumption of the plurality of wearable devices (103, 105) by controlling measurements of the plurality of wearable devices (103, 105). For example, the electronic device (101) can reduce battery consumption of the first wearable device (103) by deactivating the biometric sensor (233) of the first wearable device (103) or adjusting the cycle of periodic measurements using the biometric sensor (233) of the first wearable device (103).

[0136] For example, the electronic device (101) may generate health information (440) using biometric data (422) acquired from the second wearable device (105). For example, the health information (440) may include at least one of a visual object (441) indicating a score for the quality of sleep or a graph (442) related to sleep.

[0137] Referring to the above, an example is described in which the electronic device (101) controls the first wearable device (103) and the second wearable device (105) to reduce battery consumption of a plurality of wearable devices (103, 105), but the present disclosure is not limited thereto. For example, the electronic device (101) may obtain sensor data from the first wearable device (103) and further use the sensor data to generate health information (440). By further using the sensor data to generate health information (440), the accuracy of the health information (440) may be increased.

[0138] For example, the electronic device (101) may cause (or enable) the first wearable device (103) to acquire biometric data (421) using the biometric sensor (233) within the second time interval (420). For example, the first wearable device (103) may acquire biometric data (411) according to periodic measurements performed according to the third cycle in the first time interval (410). For example, the third cycle may have a length set for the first wearable device (103) or the electronic device (101). For example, the set length may be one of a length for continuous measurement (e.g., 1 second), a length for general measurement (e.g., 10 minutes), or an arbitrary value (e.g., user-set). For example, the first wearable device (103) may change the period of the periodic measurement from the third period to a fifth period shorter than or equal to the third period by transmitting the first signal indicating the start of the event to the electronic device (101) at the first time point (401). For example, the fifth period may have a length (e.g., 1 second) for the continuous measurement. In this case, the fifth period may correspond to the second period (425). The first wearable device (103) may perform periodic measurement according to the fifth period using the biometric sensor (233) in the second time interval (420). For example, the first wearable device (103) may acquire biometric data (421) according to the periodic measurement performed according to the fifth period. For example, the electronic device (101) can generate health information (440) using biometric data (421) acquired from the first wearable device (103) and biometric data (422) acquired from the second wearable device (105) after the second time point (402).For example, the health information (440) generated by the electronic device (101) using the biometric data (421) according to the fifth cycle acquired from the first wearable device (103) and the biometric data (422) according to the second cycle acquired from the second wearable device (105) may have a relatively higher accuracy than the health information (440) generated by using the biometric data (422) acquired from the second wearable device (105).

[0139] Additionally, for example, the electronic device (101) may cause (or enable) the first wearable device (103) to acquire motion data using the motion sensor (235) within a second time interval (420). For example, the electronic device (101) may generate health information (440) using the motion data acquired from the first wearable device (103), the biometric data (421) acquired from the first wearable device (103), and the biometric data (422) acquired from the second wearable device (105) after the second time point (402).

[0140] FIG. 5A illustrates an example of how an electronic device controls measurements of wearable devices based on whether a first wearable device is in low power mode.

[0141] FIG. 5A illustrates an example (500) of how an electronic device (101) controls measurements of wearable devices (103, 105) based on whether a low power mode of a first wearable device (103) is running.

[0142] Referring to example (500), the electronic device (101) may, at a first time point (501), transmit a command to deactivate at least one sensor of the second wearable device (105) through the communication circuit (215) based on detecting that the first wearable device (103) and the second wearable device (105) are being worn. For example, the command may instruct to deactivate the biometric sensor (253) and the motion sensor (255) of the second wearable device (105). For example, the second wearable device (105), after receiving the command, may deactivate both the biometric sensor (253) and the motion sensor (255) of the second wearable device (105). The electronic device (101) can reduce the number of wearable devices (103, 105) performing duplicate measurements and reduce battery consumption of the second wearable device (105) by causing the second wearable device (105) to deactivate at least one sensor of the second wearable device (105) based on the transmission of the command.

[0143] For example, the electronic device (101) may receive a signal indicating the start of the event from the first wearable device (103) at the second time point (502). For example, the first wearable device (103) may identify the start of the event by obtaining an input for executing the low-power mode. However, the present disclosure is not limited thereto. For example, the event may include a case where the first wearable device (103) worn on the first part (201) is released (or unworn) from the first part (201), or a case where the battery of the first wearable device (103) is discharged. Although the event in the examples is described as being identified by the first wearable device (103), the present disclosure is not limited thereto. For example, the present disclosure may also be applied to an event that may occur when the electronic device (101) directly identifies the event (e.g., taking off the first wearable device (103)), or to an event that may occur to the second wearable device (105) instead of the first wearable device (103) (e.g., activating, releasing, or discharging a low power mode of the second wearable device (103).

[0144] For example, the first wearable device (103) may generate the signal based on identifying the start of the event. In the example (500) of FIG. 5A, the electronic device (101) is described as receiving the signal at the second point in time (502), but the present disclosure is not limited thereto. For example, at the second point in time (502), the first wearable device (103) may identify the start of the event and transmit the signal to the electronic device (101).

[0145] Referring to example (500), the first wearable device (103) can obtain first sensor data (511) during a first time period (510) between a first time period (501) and a second time period (502). For example, the first wearable device (103) can obtain the first sensor data (511) during the first time period (510) using at least one sensor of the first wearable device (103) (e.g., a biometric sensor (233) and a motion sensor (235)). In example (500), the first sensor data (511) is illustrated as being obtained using at least one sensor of the first wearable device (103) (e.g., a biometric sensor (233) and a motion sensor (235)) after the first time period (501), but the present disclosure is not limited thereto. For example, the first wearable device (103) can obtain sensor data using at least one sensor (e.g., a biometric sensor (233) and a motion sensor (235)) even before the first time point (501).

[0146] For example, the second wearable device (105) may refrain from acquiring second sensor data (512) during a first time period (510) between the first time period (501) and the second time period (502). For example, the second wearable device (105) may refrain from (or stop, not perform) acquiring second sensor data (512) during the first time period (510) when at least one sensor of the first wearable device (105) (e.g., the biometric sensor (253) and the motion sensor (255)) is deactivated. The electronic device (101) can reduce the number of wearable devices (103, 105) performing duplicate measurements and reduce battery consumption of the second wearable device (105) by causing the second wearable device (105) to deactivate at least one sensor of the second wearable device (105) based on the transmission of the command.

[0147] For example, the electronic device (101) may, at a second time point (502), transmit a command to deactivate at least one sensor of the first wearable device (103) and transmit a command to activate at least one sensor of the second wearable device (103) through the communication circuit (215) based on receiving the signal indicating that the first wearable device (103) executes the low-power mode. The electronic device (101) may cause the first wearable device (103) to deactivate at least one sensor of the first wearable device (103) based on the transmission of the command, thereby reducing the number of wearable devices (103, 105) performing duplicate measurements and reducing battery consumption of the first wearable device (103).

[0148] For example, the command transmitted to the first wearable device (103) may instruct the activation of the biometric sensor (233) and the motion sensor (235) of the first wearable device (103). For example, after receiving the command, the first wearable device (103) may activate the biometric sensor (233) and the motion sensor (235) of the first wearable device (103).

[0149] For example, the command transmitted to the second wearable device (105) may instruct the second wearable device (105) to activate the biometric sensor (253) and the motion sensor (255). For example, after receiving the command, the second wearable device (105) may deactivate the biometric sensor (253) and the motion sensor (255) of the second wearable device (105).

[0150] For example, the first wearable device (103) may refrain from acquiring the first sensor data (521) during a second time (520) from a second point in time (502). For example, the first wearable device (103) may refrain from (or stop, not perform) acquiring the first sensor data (521) during a second time (520) when at least one sensor (e.g., a biometric sensor (233) and a motion sensor (235)) of the first wearable device (103) is deactivated. For example, the second wearable device (105) may acquire the second sensor data (522) during a second time (520) from a second point in time (502) using at least one sensor (e.g., a biometric sensor (233) and a motion sensor (235)) of the second wearable device (105).

[0151] In one embodiment, the electronic device (101) may, based on detecting that the first wearable device (103) and the second wearable device (105) are being worn, transmit a command to deactivate at least one sensor of the second wearable device (105) via the communication circuit (215). Thereafter, the electronic device (101) may transmit a request to the first wearable device (103) to measure a heart rate. In response to the request, the first wearable device (103) may measure the heart rate using the biometric sensor (233) of the first wearable device (103). Thereafter, the user may unwear the first wearable device (103). The electronic device (101), in response to identifying that the first wearable device (103) is taken off, may transmit a request to the second wearable device (105) to measure the heart rate. Thereafter, the second wearable device (105) may measure the heart rate using the biometric sensor (253) of the second wearable device (105) in response to the request. In other words, when the first wearable device (103) is taken off, even if the electronic device (101) requests the first wearable device (103) to measure the heart rate again, the first wearable device (103) may not be able to measure the heart rate, and thus an error may be transmitted to the electronic device (101) in response to the request. Accordingly, in response to identifying that the wearable device (103) is being taken off, the electronic device (101) may transmit a request to the second wearable device (105) to measure the heart rate without re-requesting the measurement of the heart rate to the first wearable device (103).

[0152] As described above, based on the signal instructing to execute the low-power mode received at the second time point (502), the electronic device (101) can control to stop (or refrain from) measurement of one of the wearable devices (103, 105) and control to perform measurement of the other wearable device. In the example (500) of FIG. 5A, the electronic device (101) is shown controlling measurement based on the signal, but the present disclosure is not limited thereto. For example, the electronic device (101) can control the first wearable device (103) and the second wearable device (105) to continuously acquire sensor data in order to provide a designated function.

[0153] For example, the above-mentioned designated function may include an inactive timer function, a heart rate alert (HR alert) function, an automatic exercise detection function, and an exercise result display function. However, the present disclosure is not limited thereto. For example, the above-mentioned designated function may include providing an alarm to a user using sensor data measured during the reference time (or a length of continuous time) or displaying health information representing the results of the measured sensor data. For example, the reference time may be set differently depending on the designated function. When the designated function is activated, specific details regarding a method for the first wearable device (103) and the second wearable device (105) to continuously acquire sensor data in order to provide the designated function may be referred to with reference to FIGS. 6 to 8 below.

[0154] Figure 5b illustrates examples of a user interface (UI) that includes an icon indicating that a specified function is activated.

[0155] FIG. 5b illustrates an example of a UI (555) including an icon indicating that a specified function is activated on a screen (550) of an electronic device (101) and a UI (585) including an icon indicating that a specified function is activated on a screen (580) of a wearable device (103).

[0156] Referring to FIG. 5B, the electronic device (101) may display a screen (550) on the display (213). For example, the screen (550) may include a UI (555) of a software application (e.g., a management app) for managing a wearable device. However, the present disclosure is not limited thereto. For example, the UI (555) may represent a UI of a software application (e.g., a health app) for providing the health information. For example, the electronic device (101) may display a screen (550) including the UI (555) based on executing the software application. For example, the UI (555) may represent a UI for setting the software application.

[0157] For example, the UI (555) may include a visual object (560) for setting a target (or data) to be measured using at least one of the wearable devices (103, 105) to manage the user's health. For example, the visual object (560) may include a bar-shaped menu (561) for setting a measurement for heart rate, a bar-shaped menu (562) for setting a measurement for stress, and a bar-shaped menu (563) for setting a measurement for sleep. However, the present disclosure is not limited thereto. For example, the visual object (560) may further include a bar-shaped menu for setting another measurement target.

[0158] For example, the UI (555) may include a visual object (570) for setting an automatic exercise detection function. For example, the automatic exercise detection function may be included in the designated function. For example, the visual object (570) may include an icon (571) for setting the automatic exercise detection function. For example, when the low-power mode of the first wearable device (103) is not activated, the icon (571) may be displayed in a state indicating that the automatic exercise detection function is activated. For example, the state may be a state in which the position of the icon (571) is toggled to the right. Conversely, for example, when the low-power mode of the first wearable device (103) is activated, the icon (571) may be displayed in a state indicating that the automatic exercise detection function is deactivated. For example, the state may be a state in which the position of the icon (571) is toggled to the left.

[0159] Also, referring to FIG. 5B, the first wearable device (103) may display a screen (580) on the display (237). For example, the screen (580) may include a UI (585) of a software application for managing the wearable device. For example, the first wearable device (103) may display a screen (580) including a UI (585) based on executing the software application. For example, the UI (585) may represent a UI for setting the software application.

[0160] For example, the UI (585) may include a visual object (590) for setting a target to be measured using at least one of the wearable devices (103, 105) to manage the health. For example, the visual object (590) may include a bar-shaped menu (561) for setting a measurement for heart rate, a bar-shaped menu (562) for setting a measurement for stress, and a bar-shaped menu (563) for setting a measurement for sleep. However, the present disclosure is not limited thereto. For example, the visual object (590) may further include a bar-shaped menu for setting another measurement target.

[0161] For example, the UI (585) may include a visual object (595) for setting the automatic exercise detection function. For example, the visual object (595) may include an icon (571) for setting the automatic exercise detection function. For example, when the low-power mode of the first wearable device (103) is not activated, the icon (571) may be displayed in a state indicating that the automatic exercise detection function is activated. For example, the state may be a state in which the position of the icon (571) is toggled to the right. Conversely, for example, when the low-power mode of the first wearable device (103) is activated, the icon (571) may be displayed in a state indicating that the automatic exercise detection function is deactivated. For example, the state may be a state in which the position of the icon (571) is toggled to the left. In other words, before the start of the low power mode event of the first wearable device (103) is identified, the icon (571) may be toggled to the right to indicate that the measurement function (or the designated function) for the biometric data of the first wearable device (103) is activated. In addition, after the start of the low power mode event of the first wearable device (103) is identified, the icon (571) may be toggled to the left to indicate that the measurement function (or the designated function) for the biometric data of the first wearable device (103) is deactivated.

[0162] In the example of FIG. 5B, when the position of the icon (571) is toggled to the right, measurement by the first wearable device (103) (or measurement function for sensor data) may be activated, and measurement by the second wearable device (105) (or measurement function for sensor data) may be deactivated. Conversely, when the position of the icon (571) is toggled to the left, measurement by the first wearable device (103) (or measurement function for sensor data) may be deactivated, and measurement by the second wearable device (105) (or measurement function for sensor data) may be activated. In the example, activating or deactivating the measurement may include activating or deactivating at least one sensor of the wearable device.

[0163] In the example of FIG. 5B, an example of an automatic exercise detection function among the above-mentioned functions is illustrated, but the present disclosure is not limited thereto. For example, UI (555) and UI (585) may further include icons for each of other functions of the above-mentioned functions (e.g., an inactive timer function, a heart rate alert (HR alert) function, and an exercise result display function).

[0164] FIG. 6 illustrates an example of an operational flow for a method in which an electronic device controls measurements of wearable devices based on a low power mode event.

[0165] At least some of the methods of FIG. 6 may be performed by the electronic device (101) of FIG. 2. For example, at least some of the methods may be controlled by the processor (211) of the electronic device (101). In the following embodiments, the operations may be performed sequentially, but are not necessarily performed sequentially. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0166] In FIG. 6, for convenience of explanation, it is assumed that the wearable devices are a first wearable device (103) worn on the first part (201) of FIG. 2 and a second wearable device (105) worn on the second part (202). However, the present disclosure is not limited thereto. For example, the wearable devices may include three or more wearable devices, or may include wearable devices worn on parts different from the first part (201) and the second part (202).

[0167] Although not illustrated in FIG. 6, the electronic device (101) can perform pairing with the first wearable device (103) and the second wearable device (105). For example, the electronic device (101) can perform pairing to establish a first connection (e.g., the first connection (221) of FIG. 2) with the first wearable device (103). For example, the electronic device (101) can perform pairing to establish a second connection (e.g., the second connection (222) of FIG. 2) with the second wearable device (105). At this time, the third connection (223) between the first wearable device (103) and the second wearable device (105) may not be paired, or data transmission using the third connection (223) may not be possible.

[0168] Although not illustrated in FIG. 6, the electronic device (101) can detect that the paired first wearable device (103) is worn on the first part (201) and that the paired second wearable device (105) is worn on the second part (202). Based on detecting that both the first wearable device (103) and the second wearable device (105) are worn, the electronic device (101) can transmit a command to deactivate at least one sensor of the second wearable device (105) through the communication circuit (215). For example, the command can instruct to deactivate at least one of the biometric sensor (253) or the motion sensor (255) of the second wearable device (105). For example, the second wearable device (105) may, after receiving the command, deactivate at least one of the biometric sensor (253) or the motion sensor (255) of the second wearable device (105). The electronic device (101) may cause the second wearable device (105) to deactivate the motion sensor (255) of the second wearable device (105) based on the transmission of the command, thereby reducing the number of wearable devices (103, 105) performing duplicate measurements and reducing battery consumption of the wearable devices (103, 105).

[0169] Referring to FIG. 6, in operation (610), the electronic device (101) may receive a signal indicating the start of an event identified by the first wearable device (103) from the first wearable device (103) worn on the first part (201) of the user's body (200). For example, the electronic device (101) may receive the signal indicating the start of the event identified by the first wearable device (103) from the first wearable device (103) through the communication circuit (215).

[0170] For example, the event may include the execution of a low-power mode of the first wearable device (103). However, the present disclosure is not limited thereto. For example, the event may include a case where the first wearable device (103) worn on the first part (201) is removed (or unworn) from the first part (201), or the battery of the first wearable device (103) is discharged. Although the event in the above examples is described as being identified by the first wearable device (103), the present disclosure is not limited thereto. For example, the present disclosure may also be applied to an event that may occur with respect to the second wearable device (105).

[0171] For example, if the event is the execution of a low-power mode of the first wearable device (103), the first wearable device (103) can identify the start of the event by obtaining an input for the execution of the low-power mode. For example, the first wearable device (103) can generate the signal based on identifying the start of the event. For example, the first wearable device (103) can transmit the signal to the electronic device (101).

[0172] In operation (620), the electronic device (101) may receive first sensor data acquired during a first period of time less than a reference period of time using at least one sensor of the first wearable device (103). For example, the electronic device (101) may receive the first sensor data acquired during the first period of time less than the reference period of time using the at least one sensor of the first wearable device (103) through the communication circuit (215). In one example, when the electronic device (101) receives the signal, the electronic device (101) may receive the first sensor data acquired during the first period of time less than the reference period of time through the communication circuit (215).

[0173] For example, the reference time may indicate a length of continuous time set for a designated function. For example, the designated function may include an inactive timer function, a heart rate alert (HR alert) function, an automatic exercise detection function, and an exercise result display function. However, the present disclosure is not limited thereto. For example, the designated function may include providing an alarm to a user using sensor data measured during the reference time (or, length of continuous time) or displaying health information indicating the results of the measured sensor data. For example, the reference time may be set differently depending on the designated function.

[0174] For example, the inactivity timer function may provide an alarm to the user if no movement of the user is detected for the reference period (e.g., 50 minutes). For example, if no movement of the user is detected using motion data representing the movement of the user during the reference period, the alarm may be provided according to the inactivity timer function.

[0175] For example, the heart rate alarm function may provide an alarm to the user when the user's heart rate (or average heart rate) exceeds a reference heart rate during the reference period (e.g., 10 minutes). For example, the heart rate alarm function may provide an alarm when the heart rate exceeds the reference heart rate using biometric data representing the user's heart rate during the reference period.

[0176] For example, the automatic movement detection function may provide an alarm to the user indicating an exercise identified according to the movement during the reference period (e.g., 10 minutes) when the user's movement is identified during the reference period. For example, when the user's exercise is identified using motion data representing the user's movement during the reference period, the alarm may be provided according to the automatic movement detection function.

[0177] For example, the exercise result display function may provide information related to the user's exercise performed during the reference period (e.g., 50 minutes) by using sensor data during the reference period. For example, the exercise-related information may include health information generated using the sensor data. For example, if the results of the exercise performed by the user are collected based on biometric data and / or motion data during the reference period, the health information may be provided according to the exercise result display function. For example, the health information may include information related to the user's exercise performed during the reference period. For example, the health information may include at least one of a record of the exercise performed by the user during the reference period or a graph related to the exercise.

[0178] For example, the first wearable device (103) may acquire the first sensor data for the first time period using the at least one sensor while the designated function is activated. For example, the first sensor data may include biometric data acquired using the biometric sensor (233) and / or motion data acquired using the motion sensor (235). For example, the first wearable device (103) may acquire the first sensor data for the first time period less than the reference time period after the designated function is activated and identify the start of the event. As the start of the event is identified, the at least one sensor of the first wearable device (103) may be deactivated. As the at least one sensor is deactivated, the first wearable device (103) may stop (or refrain from) acquiring sensor data for (or corresponding to) the reference time period of the designated function. The electronic device (101) can reduce the number of wearable devices (103, 105) performing duplicate measurements and reduce battery consumption of the first wearable device (103) by causing the first wearable device (103) to deactivate at least one sensor of the first wearable device (103) based on the transmission of the command.

[0179] Accordingly, the first wearable device (103) can transmit the first sensor data for the first time period from the time point at which the specified function is activated to the electronic device (101) so that an alarm or result according to the specified function can be provided after the reference time (or, at the time point at which the reference time expires) from the time point at which the specified function is activated, as the start of the event is identified.

[0180] In operation (630), the electronic device (101) may transmit a command to a second wearable device (105) worn on a second part (202) of the user's body (200) to acquire second sensor data during a second time period that corresponds to a difference between the reference time and the first time period and is continuous (or extended) from the first time period. For example, the electronic device (101) may transmit a command to the second wearable device (105) via the communication circuit (215) to acquire the second sensor data during a second time period that corresponds to a difference between the reference time and the first time period and is continuous from the first time period. In one example, when transmitting the command to acquire the second sensor data during the second time, the electronic device (101) may transmit the first sensor data during the first time received from the first wearable device (103) to the second wearable device (105).

[0181] For example, the electronic device (101) may transmit a command to the second wearable device (105) to acquire the second sensor data for the second time period so as to provide an alarm or result according to the specified function after the reference time period (or at the time period when the reference time period expires) from the time period when the specified function is activated.

[0182] For example, the electronic device (101) can identify a second time corresponding to a difference between the reference time and the first time using the first sensor data received from the first wearable device (103) for the first time period. Thereafter, the electronic device (101) can transmit a command to the second wearable device (105) to acquire the second sensor data for the identified second time period. However, the present disclosure is not limited thereto. For example, the electronic device (101) can transmit a command to acquire the reference time, the first sensor data for the first time period, and second sensor data to the second wearable device (105). Thereafter, the second wearable device (103) can identify the second time, which is a difference between the reference time and the first time period, by confirming the reference time and the first sensor data for the first time period, and can acquire the second sensor data for the second time period.

[0183] In operation (640), the electronic device (101) may transmit a command to output an alarm to the second wearable device (105) or a request to transmit the second sensor data acquired during the second time period. For example, the electronic device (101) may transmit, to the second wearable device (105) via the communication circuit (215), the command to output the alarm or the request to transmit the second sensor data acquired during the second time period. In one example, when transmitting the command to acquire the second sensor data, the electronic device (101) may transmit the command to output the alarm or the request to transmit the second sensor data acquired during the second time period.

[0184] For example, the electronic device (101) may transmit the command to output the alarm or the request to transmit the second sensor data acquired during the second period of time, depending on the designated function. For example, if the designated function is the inactivity timer function, the heart rate alarm function, and the automatic exercise detection function, the electronic device (101) may transmit the command to output the alarm to the second wearable device (105). Alternatively, if the designated function is the exercise result display function, the request to transmit the second sensor data acquired during the second period of time may be transmitted. However, the present disclosure is not limited thereto. For example, even if the designated function is the inactivity timer function, the heart rate alarm function, and the automatic exercise detection function, the electronic device (101) may transmit the request to transmit the second sensor data acquired during the second period of time. Thereafter, the electronic device (101) may directly output the alarm depending on the received second sensor data.

[0185] For example, the second wearable device (105), after receiving the command to output the alarm, may output the alarm if a condition according to the designated function is satisfied based on the second sensor data acquired during the second time using at least one sensor of the second wearable device (105). For example, the alarm may include at least one of visual information, auditory information, and tactile information. For example, the visual information may include a visual effect output through a display or a light-emitting unit of the second wearable device (105). For example, the auditory information may include a sound output through a speaker of the second wearable device (105). For example, the tactile information may include a vibration output through an actuator of the second wearable device (105). For a specific example related thereto, reference may be made to FIG. 7 below.

[0186] For example, after receiving the request to transmit the second sensor data acquired during the second time, the second wearable device (105) may transmit the second sensor data acquired during the second time to the electronic device (101) using at least one sensor of the second wearable device (105). Thereafter, the electronic device (101) may generate health information using the first sensor data and the second sensor data corresponding to the reference time. For example, the electronic device (101) may display the health information through the display (213). For example, the health information may include information related to the user's exercise performed during the reference time. For example, the health information may include at least one of a record of the exercise performed by the user during the reference time or a graph related to the exercise. For a specific example related thereto, reference may be made to FIG. 8 below.

[0187] Referring to FIGS. 5A and 6 , the electronic device (101) may control one of the wearable devices (103, 105) to perform measurements and the other wearable devices (105, 103) to stop performing measurements based on identifying the start of the low power mode event (or, the wearable device un-wearing event, or the wearable device discharge event). In contrast, referring to FIGS. 3 and 4 , the electronic device (101) may adjust the cycle of periodic measurements of at least one of the wearable devices (103, 105) based on identifying the start of the sleep event. However, the present disclosure is not limited thereto. For example, the electronic device (101) may adjust the period of periodic measurement of at least one of the wearable devices (103, 105) based on identifying the start of the low power mode event (or, an un-wearing event of the wearable device, or a discharge event of the wearable device). Or, for example, the electronic device (101) may control one of the wearable devices (103, 105) to perform measurements and control the remaining wearable devices (105, 103) to stop performing measurements based on identifying the start of the sleep event. In other words, the electronic device (101) according to the present disclosure can perform control based on the measurement of the wearable devices (103, 105) described in FIGS. 3 and 4 (e.g., periodic adjustment of periodic measurement), the measurement of the wearable devices (103, 105) described in FIGS. 5A to 6 (e.g., stopping some measurements), or a combination thereof, for one event (e.g., a sleep event or a low power mode event).

[0188] Figure 7 illustrates an example of a method for continuously measuring sensor data over a reference period of time in wearable devices.

[0189] FIG. 7 illustrates an example (700) of a method for controlling an electronic device (101) to continuously measure sensor data from wearable devices (103, 105) for a reference time period based on whether a low power mode of a first wearable device (103) is being executed.

[0190] Referring to example (700), the electronic device (101) may, at a first time point (701), transmit a command to deactivate at least one sensor of the second wearable device (105) through the communication circuit (215) based on detecting that the first wearable device (103) and the second wearable device (105) are being worn. For example, the command may instruct to deactivate at least one of the biometric sensor (253) or the motion sensor (255) of the second wearable device (105). For example, the second wearable device (105), after receiving the command, may deactivate at least one of the biometric sensor (253) or the motion sensor (255) of the second wearable device (105). The electronic device (101) can reduce the number of wearable devices (103, 105) performing duplicate measurements and reduce battery consumption of the second wearable device (105) by causing the second wearable device (105) to deactivate at least one sensor of the second wearable device (105) based on the transmission of the command.

[0191] For example, the electronic device (101) may receive a signal indicating the start of the event from the first wearable device (103) at the second time point (702). For example, the first wearable device (103) may identify the start of the event by obtaining an input for executing the low-power mode. However, the present disclosure is not limited thereto. For example, the event may include a case where the first wearable device (103) worn on the first part (201) is released (or unworn) from the first part (201), or a case where the battery of the first wearable device (103) is discharged. Although the event in the examples is described as being identified by the first wearable device (103), the present disclosure is not limited thereto. For example, the present disclosure may also be applied to an event in which the electronic device (101) directly identifies the event (e.g., taking off the first wearable device (103)), or an event that may occur for a second wearable device (105) instead of the first wearable device (103).

[0192] For example, the first wearable device (103) may generate the signal based on identifying the start of the event. In the example (700) of FIG. 7, the electronic device (101) is described as receiving the first signal at a second point in time (702), but the present disclosure is not limited thereto. For example, at the second point in time (702), the first wearable device (103) may identify the start of the event and transmit the signal to the electronic device (101).

[0193] Referring to example (700), it can be identified that a designated function is activated at a third time point (703) between the first time point (701) and the second time point (702). For example, the designated function may include a deactivation timer function, a heart rate alarm function, an automatic exercise detection function, and an exercise result display function. For example, the designated function may include providing an alarm to a user using sensor data measured during a reference time point (730) or displaying health information representing the results of the measured sensor data. For example, the reference time point (730) may be set differently depending on the designated function. For example, the reference time point (730) may represent a length of time from the third time point (703) to the fourth time point (704). For example, the fourth time point (704) may represent a time point at which the reference time point (730) expires from the third time point (703) at which the designated function is activated.

[0194] In Fig. 7, for convenience of explanation, it is assumed that the designated function is the deactivation timer function. For example, if the designated function is the deactivation timer function, the reference time (730) may be 50 minutes.

[0195] For example, the first wearable device (103) can obtain first sensor data (711) for a first period of time (710) (e.g., 20 minutes) from a third time point (703) when the specified function is activated. For example, the first wearable device (103) can obtain first sensor data (711) for the first period of time (710) using at least one sensor (e.g., a biometric sensor (233) and a motion sensor (235)) of the first wearable device (103). In example (700), the first sensor data (711) is illustrated as being obtained using at least one sensor (e.g., a biometric sensor (233) and a motion sensor (235)) of the first wearable device (103) after the third time point (703), but the present disclosure is not limited thereto. For example, the first wearable device (103) may acquire sensor data using at least one sensor (e.g., a biometric sensor (233) and a motion sensor (235)) even before the third time point (703). For example, the first time point (710) may be a time less than the reference time point (730).

[0196] For example, the first wearable device (103) may transmit, at a second time point (702), the signal indicating the start of the event and the first sensor data (711) acquired during a first time period (710) less than the reference time (730), to the electronic device (101). For example, the electronic device (101) may transmit a command to acquire the second sensor data (721) during a second time period (720) (e.g., 30 minutes) that is continuous (or extended) from the first time period (710) in response to a difference between the reference time period (730) (e.g., 50 minutes) and the first time period (710) (e.g., 20 minutes). However, the present disclosure is not limited thereto. For example, the electronic device (101) may transmit a command to the second wearable device (105) to acquire first sensor data (711) for a reference time (730), a first time (710), and second sensor data (721). Thereafter, the second wearable device (103) may identify a second time (720), which is a difference between the reference time (730) and the first time (710), by checking the first sensor data (711) for the reference time (730) and the first time (710).

[0197] For example, the electronic device (101) may transmit, at a second time point (702), a command to output an alarm to the second wearable device (105) or a request to transmit second sensor data (721) acquired during a second time (720). For example, the electronic device (101) may transmit, depending on the designated function, the command to output the alarm or the request to transmit second sensor data (721) acquired during a second time (720). For example, when the designated function is the deactivation timer function, the heart rate alarm function, and the exercise automatic detection function, the command to output the alarm may be transmitted to the second wearable device (105). Alternatively, when the designated function is the exercise result display function, the request to transmit second sensor data (721) acquired during a second time (720) may be transmitted.

[0198] For example, the second wearable device (105) can obtain second sensor data (721) from a second point in time (702) for a second time (720). For example, the second wearable device (105) can obtain second sensor data (721) for a second time (720) using at least one sensor of the second wearable device (105) (e.g., a biometric sensor (253) and a motion sensor (255)).

[0199] For example, the second wearable device (105), after receiving the command to output the alarm, may output the alarm at a fourth time point (704) based on second sensor data (721) acquired during a second time point (720) using at least one sensor of the second wearable device (105) (e.g., a biometric sensor (253) and a motion sensor (255)), if the condition according to the designated function is satisfied. For example, the second wearable device (105), if it identifies that no movement of the user is detected using the first sensor data (711) and the second sensor data (721) acquired during a reference time point (730), may output the alarm at a fourth time point (704). For example, the alarm may include at least one of visual information (741), auditory information (742), or tactile information (743). For example, visual information (741) may include a visual effect output through a display or a light-emitting unit of the second wearable device (105). For example, auditory information (742) may include a sound output through a speaker of the second wearable device (105). For example, tactile information (743) may include a vibration output through an actuator of the second wearable device (105).

[0200] For example, after receiving the request to transmit the second sensor data (721) acquired during the second time (720), the second wearable device (105) may transmit the second sensor data (721) acquired during the second time (720) to the electronic device (101) at a fourth time point (704) using at least one sensor (e.g., a biometric sensor (253) and a motion sensor (255)) of the second wearable device (105). In FIG. 7, a case where the alarm (e.g., visual information (741), auditory information (742), or tactile information (743)) is output by the second wearable device (105) is illustrated, but the present disclosure is not limited thereto. For example, the electronic device (101) may also output the alarm using the second sensor data (721) received from the second wearable device (105). For example, if the electronic device (101) identifies that the user's movement is not detected using the first sensor data (711) and the second sensor data (721) acquired during the reference time (730), the electronic device (101) may output the alarm at the fourth time point (704). Thereafter, the electronic device (101) may generate health information using the first sensor data (711) and the second sensor data (721) corresponding to the reference time (730). For example, the electronic device (101) may display the health information through the display (213) at the fourth time point (704). For example, the health information may include information related to the user's exercise performed during the reference time (730). For example, the health information may include at least one of a record of the exercise performed by the user during the reference time (730) or a graph related to the exercise. A specific example of the health information may be referred to FIG. 8 below.

[0201] Figure 8 illustrates an example of a method for continuously measuring exercise results.

[0202] FIG. 8 illustrates an example (800) of a method for continuously measuring exercise results between a first wearable device (103) and an electronic device (101) when an exercise result display function is activated. FIG. 8 illustrates an example in which the first wearable device (103) and the second wearable device (105) continuously measure sensor data, but the present disclosure is not limited thereto. For example, as in FIG. 7, the first wearable device (103) and the electronic device (101) may continuously measure sensor data, or the second wearable device (105) and the electronic device (101) may continuously measure sensor data.

[0203] For convenience of explanation, example (800) of FIG. 8 assumes that the user wears the first wearable device (103) and the electronic device (101) is positioned in a pocket (or bag). For example, when the user starts exercising (e.g., walking), the first wearable device (103) can detect the start of the exercise using at least one sensor (e.g., a motion sensor (235) or a biometric sensor (233)) while the exercise result display function is activated. Thereafter, the battery of the first wearable device (103) is reduced, and at a second time point (802), the first wearable device (103) can identify that the battery is about to be discharged. When the battery of the first wearable device (103) is discharged, the electronic device (101) can continuously measure data on the exercise from the second point in time (802) instead of the first wearable device (103).

[0204] Referring to example (800), the first wearable device (103) can detect that the user has started exercising at a first time point (801) using first sensor data (811) acquired using at least one sensor. For example, the at least one sensor can include at least one of a biometric sensor (233) or a motion sensor (235).

[0205] For example, the first wearable device (103) may identify that the battery of the first wearable device (103) is about to be discharged at a second time point (802). For example, the first wearable device (103) may identify that the battery is about to be discharged when the remaining battery amount of the battery is less than a reference battery amount (e.g., 3%). Accordingly, the first wearable device (103) may transmit a signal indicating the start of an event to the electronic device (101). For example, the first wearable device (103) may acquire first sensor data (811) using at least one sensor during a first time point (810) between the first time point (801) and the second time point (802).

[0206] For example, when transmitting the signal indicating the start of the event, the first wearable device (103) may transmit the first sensor data (811) acquired during a first period of time (810) (e.g., 30 minutes) less than the reference period (830) (e.g., 50 minutes) to the electronic device (101). For example, the electronic device (101) may stop (or refrain from, not perform) acquiring the second sensor data (812) using at least one sensor (e.g., motion sensor (255) or biometric sensor (253)) of the second wearable device (105) during the first period of time (810). The electronic device (101) can reduce the number of wearable devices (103, 105) performing duplicate measurements and reduce battery consumption of the second wearable device (105) by causing the second wearable device (105) to deactivate at least one sensor of the second wearable device (105) based on the transmission of a command. For example, the first sensor data (811) may include exercise information (e.g., time, distance, calories burned, heart rate) acquired from the first wearable device (103), or may include data for calculating the same.

[0207] For example, the electronic device (101) may, based on receiving the signal indicating the start of the event at a second time point (802), command the second wearable device (105) to measure sensor data using at least one sensor (e.g., a motion sensor (255) or a biometric sensor (253)). For example, the sensor data may include a heart rate. In one example, the second wearable device (105) may start acquiring second sensor data (822) from the second time point (802). For example, the second wearable device (105) can, using at least one sensor, acquire second sensor data (822) during a second time period (820) (e.g., 20 minutes) that corresponds to a difference between a reference time period (830) (e.g., 50 minutes) and a first time period (810) (e.g., 30 minutes) and that is continuous (or extends) to the first time period (810). For example, during the second time period (820), the first wearable device (103) can stop (or refrain from, not perform) acquiring the first sensor data (821) using at least one sensor of the first wearable device (103) (e.g., a biometric sensor (233) and a motion sensor (235)).

[0208] For example, the electronic device (101) may transmit a request to the second wearable device (105) to transmit the measured sensor data at a third time point (803) when the reference time (830) expires from the first time point (801). For example, the request may be used to notify the expiration of the reference time (830) (or the end of exercise). In response to the request, the electronic device (101) may receive the second sensor data (822) from the second wearable device (105).

[0209] For example, the electronic device (101) can generate health information (840) using the first sensor data (811) and the second sensor data (822) from the first time point (801) to the third time point (803) when the reference time (830) expires. For example, the electronic device (101) can generate health information (840) using the first sensor data (811) during the first time point (810) corresponding to the reference time (830) and the second sensor data (822) during the second time point (820). For example, the electronic device (101) can display the health information (840) through the display (213) at the fourth time point (804). In the example (800) of FIG. 8, the third time point (803) and the fourth time point (804) are illustrated as being different from each other, but the present disclosure is not limited thereto. For example, the third point (803) and the fourth point (804) may be the same.

[0210] For example, health information (840) may include information related to the user's exercise performed during a reference time (830). For example, health information (840) may include at least one of a record (841) of the exercise performed by the user during the reference time (830) or a graph (842) related to the exercise.

[0211] The methods of FIG. 3, FIG. 4, FIG. 5a, FIG. 6, FIG. 7, and FIG. 8, exemplified in the present disclosure, may be performed in conjunction with each other, or each of the methods of FIG. 3, FIG. 4, FIG. 5a, FIG. 6, FIG. 7, and FIG. 8 may be performed independently.

[0212] FIG. 9 illustrates an example of an operational flow for a method in which a first wearable device controls measurements of a second wearable device based on an event.

[0213] At least some of the methods of FIG. 9 may be performed by the first wearable device (103) of FIG. 2. For example, at least some of the methods may be controlled by the processor (231) of the first wearable device (103). In the following embodiments, the operations may be performed sequentially, but are not necessarily performed sequentially. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0214] In FIG. 9, for convenience of explanation, it is assumed that the wearable devices are a first wearable device (103) worn on the first part (201) of FIG. 2 and a second wearable device (105) worn on the second part (202). However, the present disclosure is not limited thereto. For example, the wearable devices may include three or more wearable devices, or may include wearable devices worn on parts different from the first part (201) and the second part (202).

[0215] Although not illustrated in FIG. 9, the first wearable device (103) can perform pairing with the second wearable device (105). For example, the first wearable device (103) can perform pairing to establish a third connection (e.g., the third connection (223) of FIG. 2) with the second wearable device (105).

[0216] Although not illustrated in FIG. 9, it is possible to detect that the first wearable device (103) is worn on the first part (201) and that the paired second wearable device (105) is worn on the second part (202). The first wearable device (103) may transmit a command to deactivate at least one sensor of the second wearable device (105) through the communication circuit (239) based on detecting that both the first wearable device (103) and the second wearable device (105) are worn. For example, the command may instruct to deactivate the motion sensor (255) among the biometric sensors (253) and the motion sensors (255) of the second wearable device (105). For example, after receiving the command, the second wearable device (105) may deactivate the motion sensor (255) among the biometric sensor (253) and the motion sensor (255) of the second wearable device (105). The first wearable device (105) may cause the second wearable device (105) to deactivate the motion sensor (255) of the second wearable device (105) based on the transmission of the command, thereby reducing the number of wearable devices (103, 105) performing duplicate measurements and reducing the battery consumption of the second wearable device (105).

[0217] Referring to FIG. 9, in operation (910), the first wearable device (103) may transmit a command to a second wearable device (105) worn on a second part (202) of the user's body (200) that is different from the first part (201) on which the first wearable device (103) is worn, to change the operating cycle of the biometric sensor (253) of the second wearable device (105) from the first cycle to a second cycle shorter than the first cycle, based on identifying the start of an event. For example, the first wearable device (103) may transmit the command to the second wearable device (105) via the communication circuit (239) to change the operating cycle of the periodic measurement performed using the biometric sensor (253) of the second wearable device (105) to the second cycle.

[0218] For example, the event may include the user's sleep. In the example, since the motion sensor (255) of the second wearable device (105) is deactivated, the user's sleep may be identified by the first wearable device (103).

[0219] For example, in the case where the event is the user's sleep, the first wearable device (103) can identify the start of the event using at least one sensor of the first wearable device (103). For example, the first wearable device (103) can identify the start of the user's sleep using the motion sensor (235). For example, the first wearable device (103) can identify the start of the user's sleep using motion data (e.g., acceleration value and / or angular velocity value) obtained using the motion sensor (235).

[0220] For example, based on identifying the start of the event, the first wearable device (103) may transmit a command to the second wearable device (105) via the communication circuit (239) to change the period of the periodic measurement performed using the biometric sensor (253) of the second wearable device (105) from the first period to the second period shorter than the first period. At this time, the motion sensor (255) of the second wearable device (105) may be deactivated.

[0221] For example, before receiving the command to change the cycle to the second cycle, the second wearable device (105) may acquire biometric data based on periodic measurements performed according to the first cycle. As a non-limiting example, the first cycle may be about 10 minutes, and the second cycle may be about 1 second.

[0222] For example, after receiving the command to change the cycle to the second cycle, the second wearable device (105) may perform the periodic measurement according to the second cycle. In one example, during the event, the second wearable device (105) may acquire biometric data according to the periodic measurement performed according to the second cycle using the biometric sensor (253).

[0223] For example, the first wearable device (103) may deactivate the biometric sensor (233) among the biometric sensor (233) and the motion sensor (235) of the first wearable device (103). For example, the first wearable device (103) may deactivate the biometric sensor (233) of the first wearable device (103) to reduce battery consumption of the first wearable device (103). However, the present disclosure is not limited thereto. For example, the first wearable device (103) may also change the cycle of the periodic measurement of the first wearable device (103) based on identifying the start of the event. For example, the first wearable device (103) may change the cycle of the periodic measurement of the first wearable device (103) from a third cycle to a fourth cycle that is longer than the third cycle. For example, the fourth cycle is longer than the third cycle, so that the battery consumption for the periodic measurement of the first wearable device (103) can be reduced.

[0224] In operation (920), the first wearable device (103) may transmit a request to the second wearable device (105) to transmit biometric data based on identifying the end of the event. For example, the first wearable device (103) may transmit the request to the second wearable device (105) to transmit the biometric data acquired according to the periodic measurements performed according to the second cycle through the communication circuit (239).

[0225] For example, the first wearable device (103) can identify the user's wake-up time using at least one sensor (e.g., a motion sensor) of the first wearable device (103). Accordingly, the first wearable device (103) can identify the end of the event.

[0226] For example, the first wearable device (103) may transmit a request to the second wearable device (105) via the communication circuit (239) to transmit biometric data acquired according to periodic measurements performed according to the second cycle.

[0227] In operation (930), the first wearable device (103) may receive the biometric data from the second wearable device (105). For example, the first wearable device (103) may receive the biometric data from the second wearable device (105) via the communication circuit (239). For example, the biometric data may be acquired by the second wearable device (105) using the biometric sensor (253) according to periodic measurements performed according to the second cycle during the event (or, during the time interval between when the command to change to the second cycle is received and when the request to transmit the biometric data is received).

[0228] In operation (940), the first wearable device (103) may display health information (e.g., health information (440) of FIG. 4) obtained at least partially using the biometric data. For example, the electronic device (101) may display the health information obtained at least partially using the biometric data obtained from the second wearable device (105) on the display (237). For example, the first wearable device (103) may display the health information by executing a software application (e.g., a health app) for providing the health information based on obtaining an input for displaying the health information. Alternatively, the health information may be displayed by executing a software application (e.g., a management app) for managing the wearable device, for example. As a non-limiting example, the health app may be identical to the management app.

[0229] For example, the first wearable device (103) may generate the health information using the biometric data acquired from the second wearable device (105). For example, the health information may include a visual object representing information related to the user's health during the event.

[0230] For example, if the event is the user's sleep, the visual object may include at least one of a score for the quality of the user's sleep or a graph related to the user's sleep. For example, the score may be referred to as a sleep score. For example, the graph may be referred to as a sleep graph. For example, the sleep score and the sleep graph may each be generated using the biometric data, such as heart rate. However, the present disclosure is not limited thereto. For example, the sleep score and the sleep graph may each be generated using, in addition to the biometric data, such as heart rate, at least one of the user's temperature, respiration rate, oxygen saturation, information about past sleep records, or information indicating the user's movement during the event (or sleep) (e.g., motion data acquired using an acceleration sensor and / or a gyro sensor).

[0231] In the above example, it is described that the health information is generated using the biometric data acquired from the second wearable device (105), but the present disclosure is not limited thereto. For example, the health information may further utilize sensor data directly acquired by the first wearable device (103). For example, the sensor data may be acquired using at least one sensor of the first wearable device (103). For example, the at least one sensor may include a biometric sensor (233) and a motion sensor (235). For example, the sensor data may include biometric data acquired using the biometric sensor (233) and / or motion data acquired using the motion sensor (235) during the event (or, during the time period between when the command to change to the fourth cycle is received and when the second signal is transmitted). For example, the biometric data acquired using the biometric sensor (233) may include PPG. For example, the motion data obtained using the motion sensor (235) may include information indicating the user's movement (or tossing and turning during sleep) during the sleep.

[0232] In operation (920) of FIG. 9, the first wearable device (103) may identify the end of the event and transmit the request to the electronic device (101) to transmit the biometric data. The end of the event may indicate the user's awakening. For example, if the user temporarily wakes up during sleep and then begins to sleep again, this should not be recognized as the end of the event. Accordingly, the first wearable device (103) may use a reference time interval to identify the end of the event. For example, after identifying the start of the event, even if motion data acquired using the motion sensor (235) indicates a movement different from the user's sleep, the first wearable device (103) may not identify the end of the event based on the motion data if the time at which the motion data indicating the movement was acquired is less than the reference time interval. As a non-limiting example, the reference time interval may be 30 minutes.

[0233] Although not shown in FIG. 9, the first wearable device (103) may identify the start of the low power mode event, rather than the sleep event, and control measurement using at least one sensor of the second wearable device (105) accordingly.

[0234] For example, the first wearable device (103) may identify the start of the event based on the execution of a low-power mode. For example, the first wearable device (103) may acquire first sensor data for a first period of time (e.g., 20 minutes) less than a reference period of time (e.g., 50 minutes) using at least one sensor of the first wearable device (103) based on identifying that a designated function is activated prior to identifying the start of the event. For example, the reference period of time may represent a length of continuous time set for the designated function. For example, the designated function may include an inactive timer function, a heart rate alert (HR alert) function, an automatic exercise detection function, and an exercise result display function.

[0235] For example, the first wearable device (103) may, based on identifying the start of the event, correspond to a difference between the reference time (e.g., 50 minutes) and the first time (e.g., 20 minutes), and transmit a command to acquire second sensor data for a second time (e.g., 30 minutes) that is continuous (or extended) from the first time (e.g., 20 minutes). In one example, when the first wearable device (103) transmits the command to acquire the second sensor data for the second time, the first sensor data for the first time may also be transmitted to the second wearable device (105).

[0236] For example, the first wearable device (103) may transmit a command to output an alarm to the second wearable device (105) or a request to transmit the second sensor data acquired during the second time period. In one example, when transmitting the command to acquire the second sensor data, the first wearable device (103) may transmit the command to output the alarm or the request to transmit the second sensor data acquired during the second time period.

[0237] Figures 10a to 10c illustrate examples of a user interface (UI) of a software application for providing health information.

[0238] FIGS. 10A to 10C illustrate examples of UIs of the software application for providing the health information executed on the electronic device (101). The UIs of FIGS. 10A to 10C are exemplified and described as UIs of the software application for providing the health information, but the present disclosure is not limited thereto. For example, the UI may include a UI of a software application for managing a wearable device. For example, the UIs of FIGS. 10A to 10C may be an example of the UI (555) of FIG. 5B. For example, the UI may be referred to as a dashboard.

[0239] Referring to FIG. 10A, the electronic device (101) can display the UI on the display (213). For example, the electronic device (101) can display the UI based on executing the software application.

[0240] For example, the UI may include menus (1000, 1050, 1060, 1070). For example, each of the menus (1000, 1050, 1060, 1070) may be referred to as a tap or a menu area. For example, the first menu (1000) may display information about one or more wearable devices paired with the electronic device (101). For example, the second menu (1050) may display information about acquired (or tracked, measured) heart rate. For example, the third menu (1060) may display information about acquired (or tracked) sleep. For example, the fourth menu (1060) may display information about acquired (or tracked, measured) heart rate alarm. The menus (1000, 1050, 1060, and 1070) illustrated in FIG. 10a are merely examples for convenience of explanation, and the present disclosure is not limited thereto. For example, the number of menus included in the UI, the information displayed in each menu, and the characteristics of the menus (e.g., location and size) may be changed.

[0241] For example, the first menu (1000) may include submenus (1010, 1020, 1030, 1040). For example, each of the submenus (1010, 1020, 1030, 1040) may be referred to as a subtab, a submenu area, or a bar. For example, each of the submenus (1010, 1020, 1030, 1040) of the first menu (1000) may include information about a wearable device paired with the electronic device (101). For example, the first submenu (1010) may include information about a first device (e.g., a watch) paired with the electronic device (101). For example, the second submenu (1020) may include information about a second device (e.g., a ring) paired with the electronic device (101). For example, the third submenu (1030) may include information about a third device (e.g., a ring) paired with the electronic device (101). For example, the fourth submenu (1040) may include information about a fourth device (e.g., a TWS (true wireless stereo)) paired with the electronic device (101).

[0242] For example, the first submenu (1010) may include an image (1011) representing the first device, text (1012) representing the name and battery information of the first device, and an icon (1013) representing a connection status between the first device and the electronic device (101). For example, the icon (1013) may indicate that the first device and the electronic device (101) are connected. For example, the icon (1013) may have a first visual effect. As a non-limiting example, the first visual effect may include displaying the icon (1013) based on a first color (e.g., blue). In the case of the first device being connected, the image (1011) may also have the first visual effect.

[0243] For example, the second submenu (1020) may include an image (1021) representing the second device, text (1022) representing the name and battery information of the second device, and an icon (1023) representing a connection status between the second device and the electronic device (101). For example, the icon (1023) may indicate that the connection between the second device and the electronic device (101) is disconnected. For example, the icon (1023) may have a second visual effect. As a non-limiting example, the second visual effect may include the display of the icon (1023) based on a second color (e.g., gray) and a straight line that is displayed at least partially overlapping the icon (1023). In the case of the second device being disconnected, the image (1021) and the text (1022) may be displayed relatively blurry.

[0244] For example, the fourth submenu (1040) may include an image (1041) representing the fourth device, text (1042) representing the name and battery information of the fourth device, and an icon (1043) representing a connection status between the fourth device and the electronic device (101). For example, the icon (1043) may indicate that the fourth device and the electronic device (101) are connected but not worn. For example, the icon (1043) may have a third visual effect. As a non-limiting example, the third visual effect may include displaying the icon (1043) based on a second color (e.g., gray).

[0245] For example, the second menu (1050) may include a graph (1051) for the acquired (or tracked, measured) heart rate and icons (1053a, 1053b, 1053c) for selecting a wearable device that is currently acquiring sensor data for the heart rate. In the example of FIG. 10A, the second menu (1050) including the graph (1051) is illustrated, but the present disclosure is not limited thereto. For example, the graph (1051) may be replaced with various data display methods such as a chart, a log list, or a gauge bar.

[0246] For example, graph (1051) may display heart rate over time. For example, graph (1051) may include a region (1051b) representing a heart rate acquired by the first device during a first time interval. For example, region (1051b) may include an image (1051a) representing that the heart rate acquired during the first time interval is acquired by the first device. Image (1051a) may include a shape of the first device. For example, graph (1051) may include an image (1052) representing a wearable device currently acquiring sensor data. For example, image (1052) may include a shape of the wearable device currently acquiring sensor data.

[0247] For example, each of the icons (1053a, 1053b, 1053c) may be used to select a wearable device that is currently acquiring sensor data regarding heart rate. In the example of FIG. 10A, the icon (1053a) for the first device corresponding to the image (1052) may be visually highlighted. For example, the icon (1053b) for the second device that is disconnected may be inactive. The inactivity of the icon (1053b) may indicate that the wearable device that is currently acquiring sensor data regarding heart rate is not selectable by the user. For example, the icon (1053c) for the third device that is connected but unworn may be activated. The activation of the icon (1053c) may indicate that the wearable device that is currently acquiring sensor data regarding heart rate is selectable by the user.

[0248] For example, the electronic device (101) may display a UI (1080) on the display (213) that displays detailed information (or log information) about the heart rate upon receiving an input (1057) for a portion of the second menu (1050). For example, the UI (1080) may be a UI that has been changed from the UI that includes the menus (1000, 1050, 1060, 1070). For example, the UI (1080) may include a visual object representing detailed information about the heart rate acquired by the first device and a visual object representing detailed information about the heart rate acquired by the third device. For example, the UI (1080) may include an image (1081) representing the first device and an image (1082) representing the third device.

[0249] For example, the third menu (1060) may include icons (1063a, 1063b, 1063c) for selecting a wearable device that is currently acquiring sensor data for sleep. Specific details for the icons (1063a, 1063b, 1063c) may be substantially identical to the details for the icons (1053a, 1053b, 1053c). For example, the fourth menu (1070) may include a graph (1071) for the acquired (or, tracked, measured) heart rate alarm and icons (1073a, 1073b, 1073c) for selecting a wearable device that is currently acquiring sensor data for the heart rate alarm. The specific details for icons (1073a, 1073b, 1073c) can be substantially identically applied to the details for icons (1053a, 1053b, 1053c).

[0250] FIG. 10b illustrates an example of the UI displayed when the electronic device (101) changes the wearable device from which sensor data is currently being acquired based on an input (1059) to the UI of FIG. 10a.

[0251] Referring to FIG. 10B, the electronic device (101) may obtain an input (1059) for a second menu (1050). For example, the input (1059) may be obtained for an area of ​​the display (213) corresponding to an icon (1053c). For example, the electronic device (101) may display a second menu (1050a) changed from the second menu (1050) based on identifying the obtained input (1059). For example, the second menu (1050a) may include an activated icon (1053a) and a visually highlighted icon (1053c). For example, the electronic device (101) may change the wearable device that obtains the sensor data for the heart rate from the first device to the third device based on identifying the obtained input (1059). In one example, the electronic device (101) may, based on identifying the input (1059), transmit a command to the first device to stop acquiring sensor data and transmit a command to the third device to start acquiring sensor data. For example, the second menu (1050a) may include an image (1052a) modified from the image (1052). For example, the modified image (1052a) may include the shape of a wearable device (e.g., the third device) currently acquiring sensor data.

[0252] FIG. 10c illustrates an example of the UI of FIG. 10a including the results of the electronic device (101) analyzing the usage pattern of the wearable device.

[0253] Referring to FIG. 10c, the UI may include a first menu (1010) and a fifth menu (1090a) (or a fifth menu (1090b)). For example, specific details regarding the first menu (1010) may be substantially identical to the details regarding the first menu (1010) of FIG. 10a.

[0254] For example, the fifth menu (1090a) may include text (1091) indicating the results of analyzing the user's wearable device usage pattern. For example, the electronic device (101) may recognize that the user typically runs on weekends and that the wearable device (e.g., watch) paired with the electronic device (101) frequently discharges before the end of the weekend. Accordingly, the electronic device (101) may display a fifth menu (1090a) within the UI including text (1091) informing the user to charge the watch in advance before the start of the weekend.

[0255] Alternatively, for example, the fifth menu (1090b) may include text (1092) indicating the results of analyzing the user's wearable device usage pattern. For example, the electronic device (101) may recognize that the user exercises frequently. Accordingly, the electronic device (101) may display a fifth menu (1090b) within the UI, including text (1092) indicating that the wearable device used for heart rate measurement during exercise consumes a lot of battery power and suggesting that sleep measurement be performed using another wearable device (e.g., a ring). At this time, the electronic device (101) may display additional text (1093) within the fifth menu (1090b) suggesting activation of a function for the method of FIG. 4 according to the present disclosure. For example, based on identifying the input obtained for the additional text (1093), the electronic device (101) may display a UI on the display (213) for activating the function for the method of FIG. 4. In the example, the description of the additional text (1093) suggesting activation of the function for the method of FIG. 4 is exemplified, but the present disclosure is not limited thereto. For example, the additional text (1093) may also be used to suggest the function of FIG. 3, FIG. 5a, FIG. 6, FIG. 7, FIG. 8, or FIG. 9.

[0256] As described above, the electronic device (101) may include a display (213). The electronic device (101) may include a communication circuit (215). The electronic device (101) may include a memory (217) that stores instructions and includes one or more storage media. The electronic device (101) may include at least one processor (211) that includes a processing circuit. The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to receive, through the communication circuit (215), a first signal from a first wearable device (103) worn on a first part of a user's body, indicating the start of an event identified by the first wearable device (103). The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to transmit, based on the first signal, a command to a second wearable device (105) worn on a second part of the body of the user, via the communication circuit (215), to change the operating cycle of a biometric sensor of the second wearable device (105) from a first cycle to a second cycle shorter than the first cycle. The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101), after transmitting the command, to receive, via the communication circuit (215), from the first wearable device (103), a second signal indicating the termination of the event identified by the first wearable device (103).The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to transmit a request to the second wearable device (105) to transmit biometric data via the communication circuit (215). The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to receive the biometric data from the second wearable device (105) via the communication circuit (215). The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to display, on the display (213), health information acquired at least in part using the biometric data.

[0257] In one embodiment, the event may include the user's sleep or the execution of a low-power mode of the first wearable device (103).

[0258] According to one embodiment, the biometric data may be obtained according to the second cycle using the biometric sensor of the second wearable device (105).

[0259] According to one embodiment, the health information may include at least one of a score for the quality of sleep of the user generated using the biometric data, or a graph related to the sleep of the user generated using the biometric data.

[0260] According to one embodiment, the instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to transmit, through the communication circuit (215), a command to deactivate the motion sensor of the second wearable device (105) among the biometric sensor of the second wearable device (105) and the motion sensor of the second wearable device (105), based on detecting that the first wearable device (103) is worn on the first part of the user and the second wearable device (105) is worn on the second part of the user. The biometric sensor of the second wearable device (105) may include a photoplethysmogram (PPG) sensor. The motion sensor of the second wearable device (105) may include an acceleration sensor or a gyro sensor.

[0261] According to one embodiment, the instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to transmit, through the communication circuit (215), a command to deactivate the biometric sensor of the first wearable device (103) among the biometric sensor of the first wearable device (103) and the motion sensor of the first wearable device (103) based on receiving the first signal. The biometric sensor of the first wearable device (103) may include a photoplethysmogram (PPG) sensor. The motion sensor of the first wearable device (103) may include an acceleration sensor or a gyro sensor.

[0262] According to one embodiment, the instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to, upon receiving the second signal, receive sensor data acquired using at least one sensor of the first wearable device (103) from the first wearable device (103) via the communication circuit (215). The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to generate the health information using the biometric data received from the second wearable device (105) and the sensor data received from the first wearable device (103). The sensor data received from the first wearable device (103) may include at least one of biometric data obtained using a biometric sensor of the first wearable device (103) or motion data obtained using a motion sensor of the first wearable device (103).

[0263] According to one embodiment, the instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101), upon receiving the first signal, to receive, from the first wearable device (103), via the communication circuit (215), first sensor data acquired during a first time period less than a reference time period using at least one sensor of the first wearable device (103). The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to transmit, via the communication circuit (215), a command to acquire, to the second wearable device (105), second sensor data corresponding to a difference between the reference time period and the first time period, during a second time period continuous from the first time period.

[0264] According to one embodiment, the instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to receive, from the second wearable device (105), via the communication circuit (215), the second sensor data acquired during the second time using at least one sensor of the second wearable device (105). The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to generate other health information using the first sensor data and the second sensor data corresponding to the reference time. The other health information may include information related to an exercise of the user performed during the reference time, which is generated using the first sensor data and the second sensor data.

[0265] According to one embodiment, the instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to transmit, through the communication circuit (215), a command to acquire the second sensor data for the second time period, and a command to output an alarm after acquiring the second sensor data for the second time period. The alarm may include at least one of visual information, auditory information, or tactile information.

[0266] According to one embodiment, each of the first sensor data and the second sensor data may include motion data indicating movement of the user. The alarm may be used to notify that no movement of the user has been detected during the reference period.

[0267] According to one embodiment, each of the first sensor data and the second sensor data may include biometric data of the user. The alarm may be used to notify that the user's heart rate exceeds a reference heart rate during the reference time.

[0268] According to one embodiment, each of the first sensor data and the second sensor data may include motion data representing the user's movement. The alarm may be used to notify of movement identified based on the user's movement during the reference time.

[0269] According to one embodiment, the instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to, prior to receiving the first signal from the first wearable device (103) through the communication circuit (215), execute a software application for managing a wearable device, and, based on this, display an icon on the display (213) indicating that a measurement function for biometric data of the first wearable device (103) is activated within a user interface of the software application. The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to, upon receiving the first signal from the first wearable device (103) through the communication circuit (215), execute the software application, and then display, on the display (213), the icon indicating that the measurement function for the biometric data of the first wearable device (103) is deactivated within the user interface of the software application.

[0270] According to one embodiment, the instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to transmit, through the communication circuit (215), a command to acquire biometric data to the first wearable device (103) based on detecting that the first wearable device (103) is worn on the first part. The instructions, when individually or collectively executed by the at least one processor (211), may cause the electronic device (101) to transmit, through the communication circuit (215), a command to acquire biometric data to the second wearable device (105) based on detecting that the first wearable device (103) is released from the first part.

[0271] According to one embodiment, the first wearable device (103) may include a watch. The first part may include the wrist of the user's body. The second wearable device (105) may include a ring. The second part may include the finger of the user's body.

[0272] As described above, the first wearable device (103) may include a display (237). The first wearable device (103) may include a communication circuit (239). The first wearable device (103) may include a memory (241) that stores instructions and includes one or more storage media. The first wearable device (103) may include at least one processor (231) that includes a processing circuit. The instructions, when individually or collectively executed by the at least one processor (231), may cause the first wearable device (103) to, based on identifying the start of an event, transmit, through the communication circuit (239), a command to a second wearable device (105) worn on a second part of the user's body, different from the first part of the user's body on which the first wearable device (103) is worn, to change the operating cycle of a biometric sensor of the second wearable device (105) from a first cycle to a second cycle shorter than the first cycle. The instructions, when individually or collectively executed by the at least one processor (231), may cause the first wearable device (103) to, based on identifying the end of the event, transmit, through the communication circuit (239), a request to the second wearable device (105) to transmit biometric data. The above instructions, when individually or collectively executed by the at least one processor (231), may cause the first wearable device (103) to receive the biometric data from the second wearable device (105) through the communication circuit (239).The above instructions, when individually or collectively executed by the at least one processor (231), may cause the first wearable device (103) to display, on the display (237), health information obtained at least in part using the biometric data.

[0273] According to one embodiment, the first wearable device (103) may include a biometric sensor. The instructions, when individually or collectively executed by the at least one processor (231), may cause the first wearable device (103) to transmit a command to the second wearable device (105) through the communication circuit (239) to deactivate the biometric sensor of the second wearable device (105) and the motion sensor of the second wearable device (105) based on detecting that the second wearable device (105) is worn on the second part of the user. The instructions, when individually or collectively executed by the at least one processor (231), may cause the first wearable device (103) to deactivate the biometric sensor of the first wearable device (103) based on identifying the start of the event. Each of the biometric sensor of the first wearable device (103) and the biometric sensor of the second wearable device (105) may include a photoplethysmogram (PPG) sensor. The motion sensor of the second wearable device (105) may include an acceleration sensor or a gyro sensor.

[0274] As described above, the method performed by the electronic device (101) may include an operation of receiving, from a first wearable device (103) worn on a first part of a user's body, a first signal indicating the start of an event identified by the first wearable device (103). The method may include an operation of transmitting, based on the first signal, a command to a second wearable device (105) worn on a second part of the user's body, to change an operating cycle of a biometric sensor of the second wearable device (105) from the first cycle to a second cycle shorter than the first cycle. After transmitting the command, the method may include an operation of receiving, from the first wearable device (103), a second signal indicating the end of the event identified by the first wearable device (103). The method may include an operation of transmitting, to the second wearable device (105), a request to transmit biometric data. The method may include an operation of receiving the biometric data from the second wearable device (105). The method may include an operation of displaying health information obtained at least partially using the biometric data.

[0275] The non-transitory computer-readable storage medium as described above can store one or more programs including instructions that, when individually or collectively executed by at least one processor (211) of an electronic device (101) including a display (213) and a communication circuit (215), cause the electronic device (101) to receive, through the communication circuit (215), from a first wearable device (103) worn on a first part of a user's body, a first signal indicating the start of an event identified by the first wearable device (103). The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to transmit, through the communication circuit (215), a command to a second wearable device (105) worn on a second part of the body of the user based on the first signal, to change the operating cycle of the biometric sensor of the second wearable device (105) from a first cycle to a second cycle shorter than the first cycle. The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to, after transmitting the command, receive, from the first wearable device (103) through the communication circuit (215), a second signal indicating termination of the event identified by the first wearable device (103).The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to transmit a request to the second wearable device (105) to transmit biometric data via the communication circuit (215). The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to receive biometric data from the second wearable device (105) via the communication circuit (215). The non-transitory computer-readable storage medium may store one or more programs including instructions that, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to display, on the display (213), health information obtained at least in part using the biometric data.

[0276] Electronic devices according to the various embodiments disclosed in this document may take various forms. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to the embodiments of this document are not limited to the aforementioned devices.

[0277] The various embodiments of this document and the terminology used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another component (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0278] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0279] Various embodiments of the present document may be implemented as software (e.g., a program (140)) including one or more instructions stored in a storage medium (e.g., an internal memory (136) or an external memory (138)) readable by a machine (e.g., an electronic device (101)). For example, a processor (e.g., a processor (120)) of the machine (e.g., an electronic device (101)) may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one called instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium 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 signals (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

[0280] According to one embodiment, the method according to various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) via an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0281] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. In an electronic device (101), display (213); Communication circuit (215); A memory (217) storing instructions and including one or more storage media; and At least one processor (211) comprising a processing circuit, The above instructions, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to: Receive a first signal indicating the start of an event identified by the first wearable device (103) from a first wearable device (103) worn on a first part of the user's body through the communication circuit (215); Based on the first signal, a command is transmitted to a second wearable device (105) worn on a second part of the user's body through the communication circuit (215) to change the operating cycle of the biometric sensor of the second wearable device (105) from a first cycle to a second cycle shorter than the first cycle; After transmitting the above command, a second signal is received from the first wearable device (103) through the communication circuit (215) indicating the end of the event identified by the first wearable device (103); Transmitting a request to transmit biometric data to the second wearable device (105) through the communication circuit (215); Receive the biometric data from the second wearable device (105) through the communication circuit (215); and Causing health information obtained at least partially using the above biometric data to be displayed on the display (213), Electronic device (101).

2. In claim 1 The above event includes the execution of a mode for sleep of the user or low power of the first wearable device (103). Electronic device (101).

3. In claim 1, The above biometric data is obtained according to the second cycle using the biometric sensor of the second wearable device (105). Electronic device (101).

4. In claim 1, The health information includes at least one of a score for the quality of the user's sleep generated using the biometric data, or a graph related to the user's sleep generated using the biometric data. Electronic device (101).

5. In claim 1, The above instructions, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to: Based on detecting that the first wearable device (103) is worn on the first part of the user and the second wearable device (105) is worn on the second part of the user, a command is transmitted to the second wearable device (105) through the communication circuit (215) to deactivate the motion sensor of the second wearable device (105) among the biometric sensor of the second wearable device (105) and the motion sensor of the second wearable device (105), The biosensor of the second wearable device (105) includes a PPG (photoplethysmogram) sensor, and The motion sensor of the second wearable device (105) includes an acceleration sensor or a gyro sensor. Electronic device (101).

6. In claim 1, The above instructions, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to: Based on receiving the first signal, a command is transmitted to the first wearable device (103) through the communication circuit (215) to deactivate the biometric sensor of the first wearable device (103) among the biometric sensor of the first wearable device (103) and the motion sensor of the first wearable device (103). The biosensor of the first wearable device (103) includes a PPG (photoplethysmogram) sensor, and The motion sensor of the first wearable device (103) includes an acceleration sensor or a gyro sensor. Electronic device (101).

7. In claim 1, The above instructions, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to: When receiving the second signal, receiving sensor data acquired using at least one sensor of the first wearable device (103) from the first wearable device (103) through the communication circuit (215); and To cause the health information to be generated by using the biometric data received from the second wearable device (105) and the sensor data received from the first wearable device (103), The sensor data received from the first wearable device (103) includes at least one of biometric data obtained using a biometric sensor of the first wearable device (103) or motion data obtained using a motion sensor of the first wearable device (103). Electronic device (101).

8. In claim 1, The above instructions, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to: Upon receiving the first signal, from the first wearable device (103), through the communication circuit (215), first sensor data acquired for a first time period less than a reference time is received using at least one sensor of the first wearable device (103); and Causing the second wearable device (105) to transmit a command to acquire second sensor data for a second time period consecutive from the first time, corresponding to the difference between the reference time and the first time period, through the communication circuit (215). Electronic device (101).

9. In claim 8, The above instructions, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to: Receive the second sensor data acquired during the second time using at least one sensor of the second wearable device (105) through the communication circuit (215) from the second wearable device (105); and Causing to generate other health information by using the first sensor data and the second sensor data corresponding to the above reference time, The other health information includes information related to the user's exercise performed during the reference time, which is generated using the first sensor data and the second sensor data. Electronic device (101).

10. In claim 8, The above instructions, when individually or collectively executed by the at least one processor (211), cause the electronic device (101) to: Causes the second wearable device (105) to transmit, through the communication circuit (215), a command to output an alarm after acquiring the second sensor data for the second time, together with the command to acquire the second sensor data for the second time, The alarm comprises at least one of visual information, auditory information, or tactile information. Electronic device (101).

11. In claim 10, Each of the first sensor data and the second sensor data includes motion data representing the movement of the user, and The above alarm is used to notify that the user's movement is not detected during the above reference time. Electronic device (101).

12. In claim 10, Each of the first sensor data and the second sensor data includes the user's biometric data, and The above alarm is used to notify that the user's heart rate exceeds the reference heart rate during the reference time. Electronic device (101).

13. In claim 10, Each of the first sensor data and the second sensor data includes motion data representing the movement of the user, and The above alarm is used to notify of movement identified based on the user's movement during the above reference time. Electronic device (101).

14. In the first wearable device (103), display (237); Communication circuit (239); A memory (241) storing instructions and including one or more storage media; and At least one processor (231) comprising a processing circuit, The above instructions, when individually or collectively executed by the at least one processor (231), cause the first wearable device (103) to: Based on identifying the start of an event, the first wearable device (103) transmits a command to a second wearable device (105) worn on a second part of the body of the user, different from the first part, through the communication circuit (239) to change the operating cycle of the biometric sensor of the second wearable device (105) from a first cycle to a second cycle shorter than the first cycle; Based on identifying the end of the above event, a request is sent to the second wearable device (105) to transmit biometric data through the communication circuit (239); Receive the biometric data from the second wearable device (105) through the communication circuit (239); and Causing health information obtained at least partially using the above biometric data to be displayed on the display (237), First wearable device (103).

15. In a non-transitory computer-readable storage medium, when individually or collectively executed by at least one processor (211) of an electronic device (101) including a display (213) and a communication circuit (215), the electronic device (101): Receive a first signal indicating the start of an event identified by the first wearable device (103) from a first wearable device (103) worn on a first part of the user's body through the communication circuit (215); Based on the first signal, a command is transmitted to a second wearable device (105) worn on a second part of the user's body through the communication circuit (215) to change the operating cycle of the biometric sensor of the second wearable device (105) from a first cycle to a second cycle shorter than the first cycle; After transmitting the above command, a second signal is received from the first wearable device (103) through the communication circuit (215) indicating the end of the event identified by the first wearable device (103); Transmitting a request to transmit biometric data to the second wearable device (105) through the communication circuit (215); Receive the biometric data from the second wearable device (105) through the communication circuit (215); and Storing one or more programs including instructions that cause health information obtained at least partially using the above biometric data to be displayed on the display (213). Non-transitory computer-readable storage medium.

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