Wearable electronic device for obtaining biometric information

Abstract

According to an embodiment disclosed herein, a wearable electronic device includes: a housing including an outer housing portion and an inner housing portion, the inner housing portion coupled to the outer housing portion and configured to be at least partially transparent; a light emitter disposed inside the housing and configured to emit light through the transparent housing portion; a first sensor disposed inside the housing and configured to receive light passing through a finger of a user; a second sensor disposed inside the housing and configured to receive light reflected by a finger of a user; at least one processor comprising processing circuitry; and a memory to store instructions. When executed individually or collectively by the at least one processor, the instructions may cause the wearable electronic device to: control the light emitter to emit a first light; receiving, via a first sensor, a first signal corresponding to the first light; controlling the light emitter to emit second light; receiving, via a second sensor, a second signal corresponding to the second light; and generating biometric information based on the first signal or the second signal.

Description

Technical Field

[0001] Embodiments of this disclosure relate to wearable electronic devices, such as wearable electronic devices for obtaining biometric information. Background Technology

[0002] Recent electronic devices have adopted various shape elements for user convenience and reduced size for portability. For example, electronic devices can be offered in the form of rings that can be worn on a user's finger. People are increasingly interested in health and in technologies that can monitor their health.

[0003] Therefore, electronic devices may include sensors for measuring a user’s biometric information and have been developed to use sensors to measure and utilize various biometric signals, and to provide various services for a user’s healthcare or to check a user’s health status by measuring various biometric signals.

[0004] The above information may be provided as relevant technology for the purpose of aiding understanding of this disclosure. No statement or determination is made as to whether any of the foregoing content can be used as background technology in relation to this disclosure. Summary of the Invention

[0005] Technical solution

[0006] According to embodiments of this disclosure, a wearable electronic device may include: a housing comprising an outer housing portion and an inner housing portion, the inner housing portion being coupled to the outer housing portion and configured to be at least partially transparent; a light emitter disposed within the housing and configured to emit light through the inner housing portion; a first sensor disposed within the housing and configured to receive light passing through a user's finger; a second sensor disposed within the housing and configured to receive light reflected by the user's finger; at least one processor including processing circuitry; and a memory for storing instructions. The instructions, when executed individually or jointly by at least one processor, may cause the wearable electronic device to: control the light emitter to emit first light; receive a first signal corresponding to the first light via the first sensor; control the light emitter to emit second light; receive a second signal corresponding to the second light via the second sensor; and generate biometric information based on the first signal or the second signal.

[0007] According to embodiments of this disclosure, a method for controlling the operation of a wearable electronic device may include: controlling a light emitter to emit a first light; receiving a first signal corresponding to the first light through a first sensor; controlling the light emitter to emit a second light; receiving a second signal corresponding to the second light through a second sensor; and generating biometric information based on the first signal or the second signal.

[0008] According to embodiments of the present disclosure, in a non-transitory computer-readable storage medium storing computer-executable instructions, the computer-executable instructions can cause a wearable electronic device to control a light emitter to emit first light, receive a first signal corresponding to the first light through a first sensor, control the light emitter to emit second light, receive a second signal corresponding to the second light through a second sensor, and generate biometric information based on the first signal or the second signal.

[0009] According to embodiments of this disclosure, a wearable electronic device may include: a housing comprising an outer housing portion and an inner housing portion, the inner housing portion being coupled to the outer housing portion and configured to be at least partially transparent; a light emitter disposed within the housing and configured to emit light through the inner housing portion; a first sensor disposed within the housing and configured to receive light passing through a user's finger; a second sensor disposed within the housing and configured to receive light reflected by the user's finger; at least one processor including processing circuitry; and a memory for storing instructions. The instructions, when executed individually or jointly by at least one processor, may cause the wearable electronic device to: control the light emitter to emit first light; receive a first signal via the first sensor; control the light emitter to emit second light; receive a second signal via the second sensor; generate biometric information based at least partially on an identification that the difference between the first signal and the second signal is less than or equal to a threshold; and generate the biometric information by calibrating the second signal with a calibration value corresponding to the difference, based at least partially on an identification that the difference between the first signal and the second signal is greater than the threshold.

[0010] According to embodiments of this disclosure, a method for controlling the operation of a wearable electronic device may include: controlling a light emitter to emit a first light; receiving a first signal via a first sensor; controlling the light emitter to emit a second light; receiving a second signal via a second sensor; generating biometric information based at least in part on an identification that the difference between the first signal and the second signal is a threshold or smaller; and generating biometric information by calibrating the second signal using a calibration value corresponding to the difference, based at least in part on an identification that the difference is greater than the threshold.

[0011] According to embodiments of the present disclosure, in a non-transitory computer-readable storage medium storing computer-executable instructions, the computer-executable instructions can cause a wearable electronic device to: control a light emitter to emit first light; receive a first signal via a first sensor; control the light emitter to emit second light; receive a second signal via a second sensor; generate biometric information at least in part based on identifying that the difference between the first signal and the second signal is a threshold or less; and generate biometric information by calibrating the second signal using a calibration value corresponding to the difference, at least in part based on identifying that the difference is greater than the threshold.

[0012] According to embodiments of this disclosure, a device may include a housing, a first sensor, a second sensor, a third sensor, at least one processor, or a memory. The housing may have an annular shape. The housing may include an outer housing portion or an inner housing portion. The inner housing portion may be coupled to the outer housing portion. The inner housing portion may be configured to be at least partially transparent. A light emitter may be disposed inside the housing. The light emitter may be configured to emit light through the inner housing portion. The light emitter may be disposed inside the housing. The light emitter may be configured to receive light passing through a user's finger. A second sensor may be disposed in the housing. The second sensor may be configured to receive light reflected by the user's finger. A third sensor may be disposed in the housing. The third sensor may be located between the first and second sensors. The third sensor may be configured to receive light reflected by the user's finger. At least one processor may include processing circuitry. The memory may store instructions. The instructions, when executed individually or jointly by at least one processor, may cause the wearable electronic device to generate information about oxygen saturation using signals received through the first sensor, signals received through the second sensor, and signals received through the third sensor.

[0013] According to embodiments of this disclosure, a method for controlling the operation of a wearable electronic device may include: generating information about oxygen saturation using signals received by a first sensor, signals received by a second sensor, and signals received by a third sensor.

[0014] According to embodiments of the present disclosure, in a non-transitory computer-readable storage medium storing computer-executable instructions, the computer-executable instructions can enable a wearable electronic device to generate information about oxygen saturation using signals received by a first sensor, signals received by a second sensor, and signals received by a third sensor. Attached Figure Description

[0015] Figure 1 This is a diagram illustrating an electronic device in a network environment according to various embodiments;

[0016] Figure 2 This is a diagram illustrating an example of the use of a wearable electronic device according to an embodiment of the present disclosure;

[0017] Figure 3 This is a perspective view showing a wearable electronic device according to an embodiment of the present disclosure;

[0018] Figure 4 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure;

[0019] Figure 5This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure;

[0020] Figure 6 This is a side view showing a wearable electronic device according to an embodiment of the present disclosure;

[0021] Figure 7 This is a flowchart illustrating the process of obtaining a user's oxygen saturation value according to an embodiment of the present disclosure;

[0022] Figure 8 It is a graph illustrating the operation of the light emitter and sensor according to embodiments of the present disclosure;

[0023] Figure 9a , Figure 9b , Figure 9c and Figure 9d This is a diagram illustrating changes in user posture according to embodiments of the present disclosure;

[0024] Figure 10 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure;

[0025] Figure 11 It is a graph illustrating the operation of the light emitter and sensor according to embodiments of the present disclosure;

[0026] Figure 12 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure;

[0027] Figure 13 This is a flowchart illustrating the process of obtaining a user's oxygen saturation value according to an embodiment of the present disclosure;

[0028] Figure 14 It is a graph illustrating the operation of the light emitter and sensor according to embodiments of the present disclosure;

[0029] Figure 15 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure;

[0030] Figure 16 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure;

[0031] Figure 17 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure;

[0032] Figure 18 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure; and

[0033] Figure 19 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure. Detailed Implementation

[0034] In the following, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings, enabling those skilled in the art to readily practice the present disclosure. However, the present disclosure may be implemented in various other forms and is not limited to the embodiments set forth herein. Throughout the specification and drawings, the same or similar reference numerals may be used to refer to the same or similar elements. Furthermore, for clarity and brevity, well-known functions and structures are not described in the drawings and related descriptions.

[0035] Figure 1 This is a block diagram illustrating an electronic device 101 in a network environment 100 according to various embodiments.

[0036] Reference Figure 1 In network environment 100, electronic device 101 can communicate with at least one of electronic devices 102 via a first network 198 (e.g., a short-range wireless communication network), or with electronic device 104 or server 108 via a second network 199 (e.g., a long-range wireless communication network). According to an embodiment, electronic device 101 can communicate with electronic device 104 via server 108. According to an embodiment, electronic device 101 may include a processor 120, memory 130, input module 150, sound output module 155, display module 160, audio module 170, sensor module 176, interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, user identification module (SIM) 196, or antenna module 197. In an embodiment, at least one of the components (e.g., connection terminal 178) may be omitted from electronic device 101, or one or more other components may be added to electronic device 101. According to an embodiment, some of the components (e.g., sensor module 176, camera module 180, or antenna module 197) may be integrated into a single integrated component (e.g., display module 160).

[0037] Processor 120 may run software (e.g., program 140) to control at least one other component (e.g., hardware or software component) of electronic device 101 connected to processor 120, and may perform various data processing or calculations. According to an embodiment, as at least part of the data processing or calculation, processor 120 may store commands or data received from another component (e.g., sensor module 176 or communication module 190) in volatile memory 132, process the commands or data stored in volatile memory 132, and store the result data in non-volatile memory 134. According to an embodiment, processor 120 may include a main processor 121 (e.g., central processing unit (CPU) or application processor (AP)) or an auxiliary processor 123 (e.g., graphics processing unit (GPU), neural processing unit (NPU), image signal processor (ISP), sensor central processor, or communication processor (CP)) that is operationally independent of or combined with the main processor 121. For example, when electronic device 101 includes a main processor 121 and an auxiliary processor 123, the auxiliary processor 123 may be configured to use less power than the main processor 121, or adapted for dedicated functions. The auxiliary processor 123 may be implemented separately from the main processor 121, or may be implemented as part of the main processor 121.

[0038] When the main processor 121 is inactive (e.g., in sleep) state, the auxiliary processor 123 (rather than the main processor 121) can control at least some of the functions or states associated with at least one component of the electronic device 101 (e.g., display module 160, sensor module 176, or communication module 190), or when the main processor 121 is active (e.g., running an application), the auxiliary processor 123 can work with the main processor 121 to control at least some of the functions or states associated with at least one component of the electronic device 101 (e.g., display module 160, sensor module 176, or communication module 190). According to embodiments, the auxiliary processor 123 (e.g., an image signal processor or a communication processor) may be implemented as part of another component (e.g., camera module 180 or communication module 190) functionally associated with the auxiliary processor 123. According to embodiments, the auxiliary processor 123 (e.g., a neural processing unit) may include hardware architecture dedicated to artificial intelligence model processing. Artificial intelligence models can be generated through machine learning. For example, such learning can be performed via electronic device 101 where artificial intelligence is performed or via a separate server (e.g., server 108). The learning algorithm may include, but is not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning. The artificial intelligence model may include multiple layers of artificial neural networks. The artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), or a deep Q-network, or a combination of two or more thereof, but is not limited thereto. Additionally or optionally, the artificial intelligence model may include software structures in addition to hardware structures.

[0039] Memory 130 may store various data used by at least one component of electronic device 101 (e.g., processor 120 or sensor module 176). The various data may include, for example, software (e.g., program 140) and input or output data for commands associated with it. Memory 130 may include volatile memory 132 or non-volatile memory 134.

[0040] The program 140 may be stored as software in the memory 130, and the program 140 may include, for example, an operating system (OS) 142, middleware 144, or application 146.

[0041] Input module 150 can receive commands or data from outside electronic device 101 (e.g., a user) that will be used by other components of electronic device 101 (e.g., processor 120). Input module 150 may include, for example, a microphone, mouse, keyboard, keys (e.g., buttons), or digital pen (e.g., stylus).

[0042] The sound output module 155 can output sound signals to the outside of the electronic device 101. The sound output module 155 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as playing multimedia or playing records. The receiver can be used to receive incoming calls. According to an embodiment, the receiver may be implemented separately from the speaker or as part of the speaker.

[0043] Display module 160 can visually provide information to the outside of electronic device 101 (e.g., to a user). Display 160 may include, for example, a display, a holographic device, or a projector, and control circuitry for controlling a respective one of the display, holographic device, and projector. According to an embodiment, display 160 may include a touch sensor configured to detect a touch or a pressure sensor configured to measure the intensity of the force generated by the touch.

[0044] The audio module 170 can convert sound into electrical signals and vice versa. According to an embodiment, the audio module 170 can obtain sound via the input module 150, or output sound via the sound output module 155 or headphones of an external electronic device (e.g., electronic device 102) that is directly (e.g., wired) or wirelessly connected to the electronic device 101.

[0045] Sensor module 176 can detect the operating state of electronic device 101 (e.g., power or temperature) or the environmental state outside electronic device 101 (e.g., user state), and then generate an electrical signal or data value corresponding to the detected state. According to embodiments, sensor module 176 may include, for example, a gesture sensor, gyroscope sensor, atmospheric pressure sensor, magnetic sensor, accelerometer, grip sensor, proximity sensor, color sensor, infrared (IR) sensor, biometric sensor, temperature sensor, humidity sensor, or illuminance sensor.

[0046] Interface 177 may support one or more specific protocols used to enable electronic device 101 to connect directly (e.g., wired) or wirelessly to external electronic devices (e.g., electronic device 102). According to embodiments, interface 177 may include, for example, a High Definition Multimedia Interface (HDMI), a Universal Serial Bus (USB) interface, a Secure Digital Card (SD) interface, or an audio interface.

[0047] Connection 178 may include a connector, through which electronic device 101 may be physically connected to an external electronic device (e.g., electronic device 102). According to embodiments, connection 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0048] The haptic module 179 can convert electrical signals into mechanical stimuli (e.g., vibration or motion) or electrical stimuli that can be recognized by a user through his touch or kinesthesia. According to an embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulator.

[0049] Camera module 180 can capture still or moving images. According to an embodiment, camera module 180 may include one or more lenses, an image sensor, an image signal processor, or a flash.

[0050] The power management module 188 manages the power supply to the electronic device 101. According to an embodiment, the power management module 188 may be implemented as at least part of, for example, a power management integrated circuit (PMIC).

[0051] Battery 189 can power at least one component of electronic device 101. According to an embodiment, battery 189 may include, for example, a non-rechargeable primary battery, a rechargeable rechargeable battery, or a fuel cell.

[0052] Communication module 190 can support the establishment of a direct (e.g., wired) or wireless communication channel between electronic device 101 and external electronic devices (e.g., electronic device 102, electronic device 104, or server 108), and perform communication via the established communication channel. Communication module 190 may include one or more communication processors capable of operating independently of processor 120 (e.g., application processor (AP)) and support direct (e.g., wired) or wireless communication. According to embodiments, communication module 190 may include wireless communication module 192 (e.g., cellular communication module, short-range wireless communication module, or Global Navigation Satellite System (GNSS) communication module) or wired communication module 194 (e.g., local area network (LAN) communication module or power line communication (PLC) module). One of these communication modules can communicate with an external electronic device 104 via a first network 198 (e.g., a short-range communication network such as Bluetooth, Wi-Fi Direct, or Infrared Data Association (IrDA)) or a second network 199 (e.g., a long-range communication network such as a traditional cellular network, 5G network, next-generation communication network, the Internet, or a computer network (e.g., a local area network (LAN) or a wide area network (WAN))). These various types of communication modules can be implemented as a single component (e.g., a single chip) or as multiple components separate from each other (e.g., multiple chips). The wireless communication module 192 can identify or verify the electronic device 101 in the communication network (such as the first network 198 or the second network 199) using user information (e.g., the International Mobile Subscriber Identity (IMSI)) stored in the user identification module 196.

[0053] Wireless communication module 192 can support 5G networks following 4G networks and next-generation communication technologies (such as new radio (NR) access technologies). NR access technologies can support enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), or ultra-reliable low-latency communication (URLLC). Wireless communication module 192 can support high-frequency bands (e.g., millimeter-wave bands) to achieve, for example, high data transmission rates. Wireless communication module 192 can support various technologies used to ensure performance in high-frequency bands, such as, for example, beamforming, massive MIMO, full-dimensional MIMO (FD-MIMO), array antennas, analog beamforming, or massive antennas. Wireless communication module 192 can support various requirements specified in electronic device 101, external electronic devices (e.g., electronic device 104), or network systems (e.g., second network 199). According to an embodiment, the wireless communication module 192 may support peak data rates (e.g., 20 Gbps or greater) for implementing eMBB, lost coverage (e.g., 164 dB or less) for implementing mMTC, or U-plane latency (e.g., 0.5 ms or less for each of the downlink (DL) and uplink (UL), or 1 ms or less round trip) for implementing URLLC.

[0054] Antenna module 197 can transmit or receive signals or power to or from an external source (e.g., an external electronic device). According to an embodiment, antenna module 197 may include an antenna comprising a radiator formed of conductors on a substrate (e.g., a printed circuit board (PCB)). According to an embodiment, antenna module 197 may include multiple antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication scheme used in a communication network (such as a first network 198 or a second network 199) can be selected from the multiple antennas by, for example, communication module 190. Signals or power can then be transmitted or received between communication module 190 and the external electronic device via the selected at least one antenna. According to an embodiment, other components besides the radiator (e.g., a radio frequency integrated circuit (RFIC)) may be further formed as part of antenna module 197.

[0055] According to various embodiments, antenna module 197 can form a millimeter-wave antenna module. According to embodiments, the millimeter-wave antenna module may include a printed circuit board, a radio frequency integrated circuit (RFIC), and multiple antennas (e.g., an array antenna), wherein the RFIC is disposed on or adjacent to a first surface (e.g., a bottom surface) of the printed circuit board and is capable of supporting a specified high-frequency band (e.g., a millimeter-wave band), and the multiple antennas are disposed on or adjacent to a second surface (e.g., a top or side surface) of the printed circuit board and are capable of transmitting or receiving signals in the specified high-frequency band.

[0056] At least some of the aforementioned components can be interconnected and transmit signals (e.g., commands or data) communicatively between them via an inter-peripheral communication scheme (e.g., bus, general purpose input / output (GPIO), serial peripheral interface (SPI), or mobile industrial processor interface (MIPI)).

[0057] According to an embodiment, commands or data can be sent or received between electronic device 101 and external electronic device 104 via server 108 connected to a second network 199. External electronic devices 102 or 104 can be the same as or different from electronic device 101. According to an embodiment, all or some operations to be performed on electronic device 101 can be performed on one or more of external electronic devices 102, external electronic device 104, or server 108. For example, if electronic device 101 is required to automatically perform a function or service or should perform a function or service in response to a request from a user or another device, electronic device 101 may request one or more external electronic devices to perform at least a portion of the function or service instead of running the function or service, or electronic device 101 may request one or more external electronic devices to perform at least a portion of the function or service in addition to running the function or service. Upon receiving the request, the one or more external electronic devices may perform the requested at least portion of the function or service, or perform additional functions or services related to the request, and transmit the result of the execution to electronic device 101. Electronic device 101 may provide the result as at least a partial response to the request, with or without further processing of the result. For this purpose, technologies such as cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing may be used. Electronic device 101 may use, for example, distributed computing or mobile edge computing to provide ultra-low latency services. In another embodiment, external electronic device 104 may include an Internet of Things (IoT) device. Server 108 may be an intelligent server using machine learning and / or neural networks. According to embodiments, external electronic device 104 or server 108 may be included in a second network 199. Electronic device 101 can be applied to intelligent services (e.g., smart homes, smart cities, smart cars, or healthcare) based on 5G communication technology or IoT-related technologies.

[0058] Figure 2 This is a diagram illustrating an example of the use of a wearable electronic device according to an embodiment of the present disclosure.

[0059] Figure 2 The implementation method can be with Figure 1 Implementation methods or Figures 3 to 19 The combination of implementation methods.

[0060] Reference Figure 2 Wearable electronic devices 200 (e.g., Figure 1The electronic device 101 can be configured to be worn on a user's body. For example, the wearable electronic device 200 can be implemented as a wearable electronic device that can be worn on a user's finger. For example, the wearable electronic device 200 can be provided in the form of a ring that can be worn on a user's finger. The wearable electronic device 200 can be defined and / or referred to as a smart ring.

[0061] According to an implementation, the wearable electronic device 200 can be connected via a wireless communication network (e.g., Figure 1 The first network 198 or the second network 199) and other electronic devices (e.g., Figure 1 The wearable electronic device 200 can perform wireless communication with another electronic device, such as a smartphone S1, desktop / laptop laptops S2 and S3, a car S4, a smart TV S5, a smart home device S6, a tablet PC S7, or a smartwatch S8. Wireless communication between the wearable electronic device 200 and the other electronic device can be implemented via a short-range communication network (e.g., [network name missing]). Figure 1 First network 198) or long-distance communication network (e.g., Figure 1 Wireless communication via a second network 199. For example, if a Bluetooth communication link is established between the wearable electronic device 200 and an electronic device that the user wants to access, messages can be transmitted between the two electronic devices, and the wearable electronic device 200 worn by the user can generate commands corresponding to each specific movement / gesture of the user's finger and transmit the commands to other electronic devices. Motion sensors such as accelerometers, gyroscopes, or electronic compasses (e.g., motion sensors) Figure 1 A sensor module 176 may be disposed in the wearable electronic device 200 to detect the user's finger movements / gestures. If the wearable electronic device 200 receives a message from another electronic device, the wearable electronic device 200 may notify the user of the message reception using sound, vibration, a display screen, or illumination (e.g., an LED or a xenon lamp). For this purpose, the wearable electronic device 200 may include a sound module (e.g., a sensor module 176). Figure 1 The sound output module 155 or audio module 170), and the tactile module (e.g., Figure 1 The haptic module 179) or the display module (e.g., Figure 1 (Display module 160). According to embodiments, at least one of the acoustic module, haptic module, or display module may be omitted from the wearable electronic device 200, or one or more other components may be output from the wearable electronic device 200. Furthermore, the wearable electronic device 200 may acquire the user's biometric information (e.g., oxygen saturation) and provide the biometric information to other electronic devices.

[0062] Figure 3This is a perspective view showing a wearable electronic device according to an embodiment of the present disclosure.

[0063] Figure 4 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0064] Figure 3 and Figure 4 The implementation method can be with Figures 1 to 2 Implementation methods or Figures 5 to 19 The combination of implementation methods.

[0065] Figures 3 to 4 The configuration of the wearable electronic device 200 can be wholly or partially integrated with... Figure 1 The configuration of the electronic device 101 or Figure 2 The configuration is the same as that of the wearable electronic device 200.

[0066] Reference Figures 3 to 4 The wearable electronic device 200 may include a housing 210. The housing 210 may form the overall appearance of the wearable electronic device 200.

[0067] According to one embodiment, the housing 210 may have an annular shape. The housing 210 may include an opening configured to receive a user's finger. For example, the opening may be defined as a hole formed in the housing 210.

[0068] According to an embodiment, the housing 210 may include an outer housing portion 211 or an inner housing portion 213. The inner housing portion 213 may be coupled to the outer housing portion 211. According to an embodiment, the outer housing portion 211 and the inner housing portion 213 may be manufactured and assembled separately, or they may be integrally formed.

[0069] According to an embodiment, the outer housing portion 211 may include a material capable of withstanding external impacts and / or scratches and fulfilling design features. For example, the outer housing portion 211 may include at least one of titanium, stainless steel, or ceramic. The outer housing portion 211 may be colored or coated to achieve the design.

[0070] According to an embodiment, the inner housing portion 213 may be the portion that contacts the user's finger when the user wears the wearable electronic device 200. The inner housing portion 213 may be formed of a material such as molding material, transparent plastic, or glass for sensing. For example, the inner housing portion 213 may be configured to be at least partially transparent. For example, the inner housing portion 213 may include a material capable of transmitting light for measuring biometric information. At least a portion of the inner housing portion 213 may be formed of a material substantially the same as or similar to the material of the outer housing portion 211. Furthermore, at least a portion of the inner housing portion 213 may include a metallic material for measuring biometric information.

[0071] According to one embodiment, the outer housing portion 211 and the inner housing portion 213 may be coupled to provide an internal space for the housing 210. Various electrical / electronic components of the wearable electronics 200 may be disposed and / or installed in the internal space of the housing 210. For example, the housing 210 may accommodate various electrical / electronic components.

[0072] According to an embodiment, the wearable electronic device 200 may include a circuit board 240, at least one light emitter 250, at least one sensor 260, at least one blocking member 270, or a battery 289 (e.g., Figure 1 Battery 189).

[0073] According to an embodiment, the circuit board 240 may be disposed within the internal space of the housing 210. The circuit board 240 may include at least one of a printed circuit board (PCB), a flexible printed circuit board (FPCB), or a rigid-flexible PCB (RF-PCB).

[0074] According to the implementation, various electrical / electronic components may be disposed and / or mounted on the circuit board 240. For example, a processor (e.g., Figure 1 The processor 120), memory (e.g., Figure 1 The memory 130), and the communication module (e.g., Figure 1 The communication module 190) or sensor module (e.g., Figure 1 Sensor module 197 Figure 4 At least one light emitter 250 or at least one sensor 260 may be mounted on the circuit board 240.

[0075] According to an embodiment, circuit board 240 may include a plurality of printed circuit boards. For example, the plurality of printed circuit boards may be arranged according to the shape of the internal space of housing 210 and may be electrically connected to each other. Circuit board 240 may include a flexible printed circuit board (FPCB). For example, the flexible printed circuit board may be at least partially bent according to the shape of the internal space of housing 210.

[0076] According to one embodiment, battery 289 is a device for supplying power to components of wearable electronic device 200, and may include a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell. Battery 289 may be integrally disposed within wearable electronic device 200, or may be detachably disposed from wearable electronic device 200. According to one embodiment, battery 289 may be formed from a single embedded battery, or may include multiple removable batteries. Battery 289 may include a battery pack bent according to the shape of the internal space of housing 210. Battery 289 may include multiple non-flexible battery packs of housing 210. Battery 289 may include both bent battery packs and multiple non-flexible battery packs.

[0077] According to an embodiment, the wearable electronic device 200 may include a power management module disposed on a circuit board 240 (e.g., Figure 1 Power management module 188).

[0078] According to an embodiment, the wearable electronic device 200 may include a sensor for acquiring (or measuring) at least one piece of biometric information. For example, the at least one piece of biometric information may include at least one piece of information about the user's oxygen saturation or about the user's heart rate. For example, the sensor may include a photoplethysmography (PPG) sensor for measuring oxygen saturation or heart rate.

[0079] According to an embodiment, the PPG sensor may include a light source (e.g., at least one light emitter 250) configured to emit light in two wavelength bands (e.g., a red wavelength band or an infrared wavelength band). The PPG sensor may include a light receiving unit (e.g., at least one sensor 260) configured to detect at least a portion of the light reflected from or passing through a user's body part (e.g., a finger, the skin of the finger, or a blood vessel).

[0080] According to an embodiment, in order to measure a user's oxygen saturation, at least one light emitter 250 can emit light of substantially the same wavelength or each of different wavelengths, and can emit light toward a part of the user's body (e.g., a finger, the skin of the finger, and / or blood vessels). The light emitter 250 can be configured to emit light in multiple bands, including red and infrared wavelengths. For example, at least one light emitter 250 can emit light in various bands and can include at least one of a light-emitting diode (LED), a laser diode, or a vertical-cavity surface-emitting laser (VCSEL). At least one light emitter 250 can be disposed and / or mounted on a circuit board 240. At least one light emitter 250 can be configured to emit light of different bands sequentially (or repeatedly) by predicting time. For example, the light emitter 250 can be configured to emit light through an internal housing portion 213.

[0081] According to an embodiment, at least one sensor 260 can accumulate photocharge corresponding to the amount of light reflected from or passing through the user's body part and incident thereon, and can convert biometric signals in the form of analog currents into digital signals based on the accumulated photocharge. For example, the light (or optical signal) obtained (or detected) by at least one sensor 260 can be converted by an analog-to-digital converter (ADC) and stored in a memory or sensor buffer. At least one sensor 260 may include at least one of a photodiode (PD), a phototransistor, a charge-coupled device (CCD), or a complementary metal-oxide-semiconductor (CMOS). At least one sensor 260 is not limited to these, but may include various elements capable of converting incident light signals into electrical signals.

[0082] According to an embodiment, at least one sensor 260 may include a first sensor 261 or a second sensor 263. The first sensor 261 and / or the second sensor 263 may be disposed on and / or mounted on a circuit board 240.

[0083] According to an embodiment, the first sensor 261 may be positioned further away from at least one light emitter 250 than the second sensor 263. For example, the first sensor 261 may be positioned further away from at least one light emitter 250 than the second sensor 263 in the circumferential direction of the housing 210. For example, the distance between the first sensor 261 and the light emitter 250 may be greater than the distance between the second sensor 263 and the light emitter 250.

[0084] According to the embodiment, the angle formed by at least one light emitter 250 and the second sensor 263 relative to the center O of the ring-shaped wearable electronic device 200 can be smaller than the angle formed by at least one light emitter 250 and the first sensor 261 relative to the center O of the wearable electronic device 200.

[0085] According to an embodiment, the first sensor 261 can be configured to receive light passing through a part of the user's body. The first sensor 261 can be referred to as a transmission sensor. The first sensor 261 can receive at least a portion of the light transmitted through the user's body, convert the transmitted light into an electrical signal, and transmit the electrical signal to a processor (e.g., ...). Figure 1 Processor 120 or Figure 5 The processor 220). According to an embodiment, the second sensor 263 can be configured to receive light reflected from a user's body part. The second sensor 263 can be referred to as a reflection sensor. The second sensor 263 can receive at least a portion of the light reflected from the user's body part, convert the reflected light into an electrical signal, and transmit the electrical signal to the processor (e.g., processor 220). Figure 1 Processor 120 or Figure 4 The processor 220).

[0086] According to the implementation, light emitted from at least one light emitter 250 can reach the first sensor 261 along the first optical path 11, or it can reach the second sensor 263 along the second optical path 13. For example, the first optical path 11 can be a path passing through a user's body part (e.g., a finger, the skin of the finger, or a blood vessel in the finger), and the second optical path 13 can be a path reflected by the user's body part.

[0087] According to an embodiment, the wearable electronic device 200 may include at least one blocking member 270. The at least one blocking member 270 may include a material that absorbs or blocks light. The at least one blocking member 270 may be configured to block light emitted from at least one light emitter 250 from propagating within the interior space of the housing 210.

[0088] According to an embodiment, at least one blocking member 270 may include a first wall 271 or a second wall 273. The first wall 271 may be located within the internal space of the housing 210 between the first sensor 261 and the second sensor 263. The second wall 273 may be located within the internal space of the housing 210 between the second sensor 263 and at least one light emitter 250.

[0089] Figure 5 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0090] Figure 6 This is a side view showing a wearable electronic device according to an embodiment of the present disclosure.

[0091] Figure 7 This is a flowchart illustrating the process of obtaining a user's oxygen saturation value according to an embodiment of the present disclosure.

[0092] Figure 8 It is a graph illustrating the operation of the light emitter and sensor according to embodiments of the present disclosure.

[0093] Figure 9a , Figure 9b , Figure 9c and Figure 9d This is a view showing changes in user posture according to embodiments of this disclosure.

[0094] Figures 5 to 9d The implementation method can be with Figures 1 to 4 Implementation methods or Figures 10 to 19 The combination of implementation methods.

[0095] Reference Figures 5 to 6 Wearable electronic devices 200 (e.g., Figures 2 to 4 The wearable electronic device (200) may include a housing 210, a processor 220, a memory 230, a circuit board 240, at least one light emitter 250, at least one sensor 260, at least one blocking member 270, a charging circuit 277, a battery 289, a communication module 290, or an antenna 297.

[0096] Figures 5 to 6 The configuration of the housing 210, circuit board 240, at least one light emitter 250, at least one sensor 260, or at least one blocking member 270 can be wholly or partially integrated with... Figure 4 The housing 210, circuit board 240, at least one light emitter 250, at least one sensor 260 or at least one blocking member 270 are configured identically.

[0097] According to an embodiment, the housing 210 may include an outer housing portion 211 (e.g., Figure 4 The outer housing portion 211) and the inner housing portion 213 connected to the outer housing portion 211 (e.g., Figure 4 (internal shell portion 213).

[0098] According to an implementation, at least one processor 220 (e.g., Figure 1 The processor 220), memory 230 (e.g., Figure 1 The memory 130) or communication module 290 (e.g., Figure 1 The communication module 190 can be set and / or installed on the circuit board 240.

[0099] According to embodiments, at least one processor 220 may include an application processor (AP), an auxiliary processor (SP) (e.g., a sensor hub), a central processing unit (CPU), a neural processing unit (NPU), a graphics processing unit (GPU), or an Internet of Things (IoT) processor (e.g., a processor configured to be integrated with the communication module 290). For example, processor 220 may control the operation of wearable electronic device 200. For example, wearable electronic device 200 and / or components of wearable electronic device 200 performing specific operations may be defined as being controlled by processor 220. Processor 220 may be defined and / or referred to as a controller.

[0100] According to an embodiment, at least one processor 220 may include processing circuitry. At least one processor 220 may control the overall operation of the wearable electronic device 200. At least one processor 220 may include one or more processors. At least one processor 220 may execute, individually or collectively, instructions from the memory 230 to cause the wearable electronic device 200 to perform at least one operation.

[0101] According to an implementation, memory 230 may store data (e.g., sensing data or communication data). Memory 230 may be integrated with processor 220.

[0102] According to an embodiment, memory 230 may store information for controlling the operation of wearable electronic device 200. For example, memory 230 may store instructions. When executed individually or jointly by at least one processor 220, the instructions may cause wearable electronic device 200 or at least one processor 220 to perform at least one operation. The operations performed by wearable electronic device 200 and / or at least one processor 220 as described below can be defined and / or interpreted as instructions being executed to cause wearable electronic device 200 and / or at least one processor 220 to perform at least one operation.

[0103] According to the implementation, the communication module 290 can support the wearable electronic device 200 and external electronic devices (e.g., Figure 1 Electronic device 102 or 104 or Figure 2 Communication between electronic devices S1 to S8.

[0104] According to an embodiment, the wearable electronic device 200 may include an antenna 297 (e.g., Figure 1 Antenna module 197). Antenna 297 can be an antenna for wireless communication. Antenna 297 can be disposed within the internal space of housing 210. According to an embodiment, a portion of housing 210 can be used as antenna 297.

[0105] According to one embodiment, the wearable electronic device 200 may include a charging circuit 277. The charging circuit 277 may be configured to support wired charging methods (e.g., terminal or spring pin) and / or wired charging methods (e.g., WPC or NFC) for charging the battery 289. The wearable electronic device 200 can charge the battery 289 via the charging circuit 277.

[0106] According to one embodiment, the wearable electronic device 200 may include a PPG sensor. The PPG sensor may include at least one light emitter 250 (e.g., Figure 4 At least one light emitter 250) or at least one sensor 260 (e.g., Figure 4 At least one sensor 260).

[0107] According to an implementation, at least one sensor 260 may include a first sensor 261 (e.g., Figure 4 The first sensor 261) or the second sensor 263 (e.g., Figure 4 The second sensor 263). The first sensor 261 and / or the second sensor 263 can be configured to receive light emitted from at least one light emitter 250. The first sensor 261, as a transmission sensor, can be configured to receive light along the first optical path 11 (e.g., Figure 4 The first optical path 11) passes through at least a portion of the light passing through the user's body part. The second sensor 263, acting as a reflection sensor, can be configured to travel along the second optical path 13 (e.g., ...). Figure 4 The second optical path 13) receives at least a portion of the light reflected from the user's body parts.

[0108] According to the implementation, the first sensor 261 can receive at least a portion of the light passing through a user's body part (e.g., a finger, the skin of the finger, or a blood vessel in the finger), and the second sensor 263 can receive at least a portion of the light reflected by the user's body part.

[0109] According to an embodiment, at least one blocking member 270 may include a first wall 271 (e.g., Figure 4 First wall 271) or second wall 273 (e.g., Figure 4 The second wall (273).

[0110] In the following text, refer to Figures 7 to 8 Describe the process (or the method of operation of wearable electronic device 200) for obtaining a user's oxygen saturation value (e.g., information about oxygen saturation).

[0111] Can be executed Figure 7 At least some of the operations. Can be changed. Figure 7 The order of operations. Operations can be executed in parallel. Figure 7At least two of the operations. This can be performed during execution. Figure 7 Execute before, simultaneously with or after the operation except Figure 7 Operations other than those performed by the operator. Figure 7 The operation can be defined as being controlled by wearable electronic device 200 or processor 220.

[0112] According to the implementation, in operations 1001 and / or 1003, the processor 220 can obtain the user's oxygen saturation value via at least one sensor 260. Obtaining the user's oxygen saturation value via at least one sensor 260 can be an operation (or a generation operation) using a signal (e.g., light) detected by at least one sensor 260. For example, the processor 220 can obtain the user's oxygen saturation value based on an electrical signal transmitted from at least one sensor 260. For example, the processor 220 can generate the user's biometric information (e.g., information about oxygen saturation) based on signals received from at least one sensor 260.

[0113] According to the implementation, in operation 1001, the processor 220 can obtain the user's second oxygen saturation value via the second sensor 263. For example, in operation 1001, the processor 220 can control the operation of at least one light emitter 250 to emit light, and can obtain the user's second oxygen saturation value using the signal (e.g., light) received from the second sensor 263. For example, in operation 1001, the processor 220 can control the operation of at least one light emitter 250 to emit light with a first intensity (e.g., light). Figure 8 The processor 220 can control the light emitter 250 to emit a second light with a first intensity (i1). For example, the processor 220 can control the light emitter 250 to emit a second light with a first intensity. Furthermore, the processor 220 can receive a second signal corresponding to the second light via a second sensor 263. In operation 1001, the processor 220 can computationally process the third intensity (i1) received from the second sensor 263. Figure 8 The second oxygen saturation value of the user is obtained from light of the third intensity (i3). For example, since the light received from the second sensor 263 is light reflected from the user's body parts (e.g., along...). Figure 5 The light propagating through the second optical path 13 can therefore have a lower intensity than the light emitted from at least one optical emitter 250. In operation 1001, the processor 220 can be configured to allow at least one optical emitter 250 to emit light at a first time (e.g., Figure 8 The first time interval t1 can be, for example, approximately 36 ms to approximately 44 ms (milliseconds). For example, the first time interval t1 can be approximately 40 ms.

[0114] According to the implementation, in operation 1003, the processor 220 can obtain the user's first oxygen saturation value via the first sensor 261. For example, in operation 1003, the processor 220 can control the operation of at least one light emitter 250 to emit light, and can use the signal (e.g., light) received from the first sensor 261 to obtain the user's first oxygen saturation value. For example, in operation 1003, the processor 220 can control the operation of at least one light emitter 250 to emit light with a second intensity (e.g., light). Figure 8 The processor 220 can control the light emitter 250 to emit a first light with a second intensity (i2). Furthermore, the processor 220 can receive a first signal corresponding to the first light via a first sensor 261. The second intensity i2 can be greater than the first intensity i1. In operation 1003, the processor 220 can computationally process a fourth intensity (i2) received from the first sensor 261. Figure 8 The user's first oxygen saturation value is obtained from light of the fourth intensity (i4). For example, since the light received from the first sensor 261 is light that has passed through the user's body parts (e.g., along...). Figure 5 The light propagating through the first optical path 11 can have an intensity lower than that emitted from at least one optical emitter 250. In operation 1003, the processor 220 can be configured to allow at least one optical emitter 250 to emit light up to a second time (e.g., Figure 8 The second time t2 can be, for example, about 54 ms to about 66 ms (milliseconds). For example, the second time t2 can be about 60 ms. The second time t2 can be longer than the first time t1, but is not limited thereto.

[0115] According to the implementation, in operation 1001 and / or operation 1003, processor 220 may be configured to generate biometric information based on a received first signal or a second signal. The biometric information may include information about oxygen saturation or information about heart rate.

[0116] According to an embodiment, the processor 220 can be configured to control the light emitter 250 to emit a second light having a first intensity i1, and after emitting the second light, to control the light emitter 250 to emit a first light having a second intensity i2 that is different from the first intensity i1. The first intensity i1 may be less than the second intensity i2.

[0117] According to the implementation, in operation 1001 and / or operation 1003, the luminous intensity of at least one light emitter 250 can be changed according to the size of the wearable electronic device 200 and / or the distance between at least one light emitter 250 and at least one sensor 260.

[0118] According to an implementation, in operation 1005, processor 220 can be configured to identify whether the measurement time exceeds a set time. For example, processor 220 can be configured to identify whether the time for performing operations 1001 and / or 1003, which detect the user's oxygen saturation value via the first sensor 261 and / or the second sensor 263, exceeds a set time. For example, the set time can be defined and / or referred to as the sampling period (e.g., Figure 8 The sampling period). For example, the measurement time can be defined as the time for executing operation 1001 and / or operation 1003. If the measurement time is less than or equal to the set time, the processor 220 can re-execute operation 1001 and / or operation 1003. For example, the measurement time can be about 15 seconds or longer, but is not limited to this. For example, if the measurement time is less than or equal to the set time, the processor 220 can repeat operation 1001 and / or operation 1003 multiple times. In this case, the first oxygen saturation value can be the average of multiple obtained oxygen saturation values, but is not limited to this. When operation 1001 is executed multiple times, it can be every third time period (e.g., Figure 8 The operation 1001 is repeated at the third time t3. The third time t3 can be greater than the first time t1. Additionally, the second oxygen saturation value can be the average of multiple oxygen saturation values, but is not limited to this. When performing operation 1003 multiple times, it can be repeated every fourth time (e.g., Figure 8 The fourth time t4) repeats operation 1003. If the measurement time exceeds the set time, the processor 220 can execute operation 1007.

[0119] According to an implementation, in operation 1007, processor 220 can be configured to identify whether the difference between oxygen saturation values ​​is equal to or less than a set value. For example, the difference between oxygen saturation values ​​can be an error rate between a first oxygen saturation value and a second oxygen saturation value. For example, the error rate (%) can be a value obtained by subtracting the first oxygen saturation value from the second oxygen saturation value and then dividing it by the first oxygen saturation value, but is not limited thereto. The set value can be a threshold set to enhance the reliability (or accuracy) of oxygen saturation measurement. For example, the set value can be about 4%, but is not limited thereto. In operation 1007, when the difference between oxygen saturation values ​​is less than or equal to the set value, processor 220 can execute operation 1009. In operation 1007, if the difference between oxygen saturation values ​​exceeds the set value, processor 220 can execute operation 1011.

[0120] According to the implementation, in operation 1009, the processor 220 can determine the second oxygen saturation value as the final oxygen saturation value. For example, if the difference between oxygen saturation values ​​is less than or equal to a set value, the difference between the second oxygen saturation value obtained by the second sensor 263 and the first oxygen saturation value obtained by the first sensor 261 can be small. In operation 1009, the processor 220 can control at least one light emitter 250 and the second sensor 263 every fifth time interval (e.g., Figure 8 The second oxygen saturation value is obtained repeatedly at the fifth time t5. For example, processor 220 can control at least one light emitter 250 during the detection cycle (e.g., Figure 8 During the detection cycle, light of first intensity i1 is emitted, and a second oxygen saturation value can be obtained based on light of fifth intensity i5 detected by the second sensor 263. The processor 220 can store the repeatedly obtained second oxygen saturation value as a final oxygen saturation value in the memory 230. The processor 220 and / or communication module 290 can transmit information about the second oxygen saturation value stored in the memory 230 to an external electronic device (e.g., [missing information]). Figure 1 External electronic device 102 or 104 or Figure 2 Electronic devices S1 to S8).

[0121] According to the implementation, in operation 1011, the processor 220 can calculate a calibration value for the oxygen saturation value. For example, if the difference between the oxygen saturation values ​​exceeds a set value, the difference between the second oxygen saturation value obtained by the second sensor 263 and the first oxygen saturation value obtained by the first sensor 261 can be large. In operation 1011, the processor 220 can calculate the calibration value obtained by subtracting the second oxygen saturation value from the first oxygen saturation value.

[0122] According to the implementation, in operation 1013, the processor 220 can calibrate the second oxygen saturation value to determine the final oxygen saturation value. For example, if the difference between the oxygen saturation values ​​exceeds a set value, the difference between the second oxygen saturation value obtained by the second sensor 263 and the first oxygen saturation value obtained by the first sensor 261 can be large. In operation 1013, the processor 220 can control at least one light emitter 250 and the second sensor 263 every fifth time interval (e.g., Figure 8 The second oxygen saturation value is obtained repeatedly at the fifth time t5, and the calibration value can be added to the obtained second oxygen saturation value. For example, in operation 1013, during the detection cycle (e.g., Figure 8During the detection cycle, processor 220 can store the value obtained by adding the calibration value to the repeatedly obtained second oxygen saturation value as the final oxygen saturation value in memory 230. Processor 220 and / or communication module 290 can transmit information about the final oxygen saturation value stored in memory 230 to an external electronic device (e.g., Figure 1 External electronic device 102 or 104 or Figure 2 Electronic devices S1 to S8).

[0123] According to an implementation, in operation 1009, processor 220 may be configured to generate biometric information using a second signal, at least in part based on whether the difference between a first signal corresponding to a first light received by a first sensor 261 and a second signal corresponding to a second light received by a second sensor 263 is less than or equal to a threshold.

[0124] According to an implementation, in operations 1011 and 1013, processor 220 may be configured to generate biometric information by calibrating a second signal, at least in part, based on the identification that the difference between a first signal corresponding to first light received by first sensor 261 and a second signal corresponding to second light received by second sensor 263 exceeds a threshold. In operation 1013, processor 220 may be configured to generate biometric information by adding a calibration value corresponding to the difference to the second signal.

[0125] According to an implementation, the processor 220 can be configured to adjust the light emission intensity or light emission period of the light emitter 250 based at least in part on the difference.

[0126] Figure 9a , Figure 9b , Figure 9c and Figure 9d This is a view showing changes in the user's posture. When a user is sleeping, their posture may change unconsciously.

[0127] According to an implementation, processor 220 can detect changes in the user's posture. For example, processor 220 can detect changes in the user's posture using sensors (e.g., accelerometers or gyroscopes) included in the wearable electronic device 200. Furthermore, processor 220 can interact with external electronic devices (e.g., Figure 2 The smartwatch S8 works in conjunction with external electronics to detect changes in the user's posture using sensors (such as accelerometers or gyroscopes) included in the external electronics.

[0128] According to the implementation, the processor 220 can obtain the user's oxygen saturation value by operating 1001, 1003, 1005, 1007, 1009, 1011 and 1013.

[0129] According to the implementation, if no change in the user's posture is detected, the processor 220 can obtain the user's final oxygen saturation value through operation 1009, or through operation 1011 and / or operation 1013.

[0130] According to the implementation, if a change in the user's posture is detected, the processor 220 can re-execute operations 1001, 1003, 1005, 1007, 1009, 1011, and 1013. For example, if the user's posture changes, the relative position or degree of contact between the wearable electronic device 200 and the user's body parts may change. In this case, operations 1001, 1003, 1005, 1007, 1009, 1011, and 1013 can be re-executed to obtain the user's final oxygen saturation value through operation 1009, or the user's final oxygen saturation value can be obtained through operation 1011 and / or operation 1013.

[0131] Figure 10 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0132] Figure 11 It is a graph illustrating the operation of the light emitter and sensor according to embodiments of the present disclosure.

[0133] Figure 10 and Figure 11 The implementation method can be with Figures 1 to 9d Implementation methods or Figures 12 to 19 The combination of implementation methods.

[0134] Reference Figures 10 to 11 1. Wearable electronic device 200 (e.g., Figures 5 to 6 The wearable electronic device 200 may include a housing 210, a processor (e.g., Figure 5 The processor 220), memory (e.g., Figure 5 The memory 230), circuit board 240, at least one light emitter 250, at least one sensor 260, at least one blocking member 270, and charging circuit (e.g., Figure 5 Charging circuit 277), battery 289, communication module (e.g., Figure 5 The communication module 290) or antenna (e.g., Figure 5 Antenna 297).

[0135] Figures 10 to 11The configuration of the housing 210, processor 220, memory 230, circuit board 240, at least one light emitter 250, at least one sensor 260, at least one blocking member 270, or battery 289 can be wholly or partially integrated with Figure 5 The housing 210, circuit board 240, at least one light emitter 250, at least one sensor 260, at least one blocking member 270 or battery 289 are configured the same.

[0136] According to an embodiment, the housing 210 may include an outer housing portion 211 (e.g., Figure 5 The outer housing portion 211) and the inner housing portion 213 connected to the outer housing portion 211 (e.g., Figure 5 (internal shell portion 213).

[0137] According to an implementation, at least one sensor 260 may include a first sensor 261 (e.g., Figure 5 First sensor 261), second sensor 263 (e.g., Figure 5 The first sensor 261, the second sensor 263, and / or the third sensor 265 can be configured to receive light emitted from at least one light emitter 250. The first sensor 261 is a transmission sensor and can be configured to receive light along the first optical path 11 (e.g., a second sensor 263) or a third sensor 265. Figure 5 The first optical path 11) passes through the user's body part. The second sensor 263 is a reflection sensor and can be configured to travel along the second optical path 13 (e.g., ...). Figure 5 The second optical path 13) receives light reflected from the user's body parts. The third sensor 265 is a reflection sensor and can be configured to receive light reflected from the user's body parts along the third optical path 15.

[0138] According to an embodiment, the third sensor 265 may be positioned further away from at least one light emitter 250 than the second sensor 263. For example, the third sensor 265 may be positioned further away from at least one light emitter 250 than the second sensor 263 in the circumferential direction of the housing 210. According to an embodiment, the angle formed by at least one light emitter 250 and the third sensor 265 with respect to the center O of the annular wearable electronic device 200 may be greater than the angle formed by at least one light emitter 250 and the second sensor 263 with respect to the center O of the wearable electronic device 200. The third sensor 265 may be disposed within the housing 210. The third sensor 265 may be located between the first sensor 261 and the second sensor 263.

[0139] According to an embodiment, the third sensor 265 may be positioned closer to at least one light emitter 250 than the first sensor 261. For example, the third sensor 265 may be positioned closer to at least one light emitter 250 than the first sensor 261 in the circumferential direction of the housing 210. For example, the third sensor 265 may be located between the first sensor 261 and the second sensor 263 relative to the circumferential direction of the housing 210. According to an embodiment, the angle formed by at least one light emitter 250 and the third sensor 265 relative to the center O of the annular wearable electronic device 200 may be smaller than the angle formed by at least one light emitter 250 and the first sensor 261 relative to the center O of the wearable electronic device 200.

[0140] According to an implementation, the third sensor 265 may be disposed on and / or mounted on at least one circuit board 240.

[0141] According to an embodiment, the third sensor 265 can be configured to receive light reflected from a user's body part. The third sensor 265 may be referred to as a reflection sensor. The third sensor 265 can receive at least a portion of the light reflected from the user's body part, convert the reflected light into an electrical signal, and transmit the electrical signal to a processor (e.g., ...). Figure 5 The processor 220).

[0142] According to the implementation, light emitted from at least one light emitter 250 can reach the first sensor 261 along the first optical path 11, the second sensor 263 along the second optical path 13, or the third sensor 265 via the third optical path 15. For example, the first optical path 11 can be a path passing through a user's body part (e.g., a finger, the skin of the finger, or a blood vessel in the finger), and the second optical path 13 and / or the third optical path 15 can be paths reflected by the user's body part.

[0143] According to an embodiment, at least one blocking member 270 may include a first wall 271 (e.g., Figure 5 First wall 271), second wall 273 (e.g., Figure 5 The second wall 273) or the third wall 275.

[0144] According to an embodiment, the first wall 271 may be located within the internal space of the housing 210 between the first sensor 261 and the third optical module 265. The second wall 273 may be located within the internal space of the housing 210 between the second sensor 263 and at least one light emitter 250. The third wall 275 may be located within the internal space of the housing 210 between the third sensor 265 and the second sensor 263.

[0145] In the following text, refer to Figures 11 to 12Describe wearable electronic device 200 (or processor (e.g., Figure 5 The processor 220) is a method for detecting the user's oxygen saturation value (e.g., information about oxygen saturation).

[0146] According to an embodiment, during a sampling period, the processor can control at least one light emitter 250 to obtain multiple oxygen saturation values. For example, during the sampling period, the processor can control at least one light emitter 250 to emit light of different intensities i1, i2, and i3 by dividing the time. According to an embodiment, light with different intensities i1, i2, and i3 can be emitted for different times t1, t2, and t3.

[0147] According to an embodiment, during the sampling period, the processor can obtain a first oxygen saturation value based on light of a sixth intensity i6 detected by the first sensor 261. During the sampling period, the processor can obtain a second-first oxygen saturation value based on light of a fourth intensity i4 detected by the second sensor 263. During the sampling period, the processor can obtain a second-second oxygen saturation value based on light of a fifth intensity i5 detected by the third sensor 265. According to an embodiment, the processor can be configured to receive a first signal corresponding to a first light emitted from the light emitter 250 (e.g., a first light having a third intensity i3) via the first sensor 261. The processor can be configured to receive a second signal corresponding to a second light emitted from the light emitter 250 (e.g., a second light having a first intensity i1) via the second sensor 263. The processor can be configured to receive a third signal corresponding to a third light emitted from the light emitter 250 (e.g., a third light having a second intensity i2) via the third sensor 265.

[0148] According to an implementation, the processor can be configured to generate biometric information (e.g., information about oxygen saturation) using signals received through a first sensor 261 (e.g., a first signal), signals received through a second sensor 263 (e.g., a second signal), and signals received through a third sensor 265 (e.g., a third signal).

[0149] According to an implementation, the processor can be configured to generate biometric information based at least in part on the recognition that the difference between the first and third signals is less than the difference between the second and fourth signals.

[0150] According to an implementation, the processor can be configured to generate biometric information based at least in part on the recognition that the difference between the first and third signals exceeds the difference between the second and fourth signals.

[0151] According to the implementation, during the sampling period, the processor can determine the value between the second-1 oxygen saturation value and the second-2 oxygen saturation value that has the smallest difference from the first oxygen saturation value. For example, if the second-1 oxygen saturation value corresponds to a value close to the first oxygen saturation value compared to the second-2 oxygen saturation value, the processor can determine the second-1 oxygen saturation value as the second oxygen saturation value. In this case, the processor can obtain the final oxygen saturation value using the second sensor 263 and the first sensor 261. For example, if the difference between the second oxygen saturation value obtained during the sampling period and the first oxygen saturation value is less than or equal to a set value, the processor can determine the second oxygen saturation value obtained during the detection period using light of the seventh intensity i7 detected by the second sensor 263 as the final oxygen saturation value. For example, if the difference between the second oxygen saturation value obtained during the sampling period and the first oxygen saturation value exceeds a set value, the processor can determine the final oxygen saturation value as obtained by calibrating the second oxygen saturation value obtained during the detection period using light of the seventh intensity i7 detected by the second sensor 263 based on a calibration value (e.g., a calibration value using the first and second oxygen saturation values). During the detection period, the processor can control at least one light emitter 250 and the second sensor 263 to repeatedly obtain the second oxygen saturation value (or the final oxygen saturation value) every fourth time t4.

[0152] Figure 12 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0153] Figure 13 This is a flowchart illustrating the process of obtaining a user's oxygen saturation value according to an embodiment of the present disclosure.

[0154] Figure 14 It is a graph illustrating the operation of the light emitter and sensor according to embodiments of the present disclosure.

[0155] Figure 12 and Figure 14 The implementation method can be with Figures 1 to 10 Implementation methods or Figures 15 to 19 The combination of implementation methods.

[0156] Reference Figures 12 to 14 Wearable electronic devices 200 (e.g., Figures 2 to 6 Wearable electronic devices 200 or Figure 10 The wearable electronic device (200) may include a housing 210, a processor 220, a memory 230, a circuit board 240, at least one light emitter 250, at least one sensor 260, a charging circuit 277, a battery 289, a communication module 290, or an antenna 297.

[0157] Figures 12 to 14The configuration of the housing 210, processor 220, memory 230, circuit board 240, at least one light emitter 250, at least one sensor 260, charging circuit 277, battery 289, communication module 290, or antenna 297 can be wholly or partially integrated with... Figure 5 The housing 210, processor 220, memory 230, circuit board 240, at least one light emitter 250, at least one sensor 260, charging circuit 277, battery 289, communication module 290 or antenna 297 are configured identically.

[0158] According to an embodiment, the housing 210 may include an outer housing portion 211 (e.g., Figure 5 The outer housing portion 211) and the inner housing portion 213 connected to the outer housing portion 211 (e.g., Figure 5 (internal shell portion 213).

[0159] According to the implementation, the processor 220, memory 230 or communication module 290 may be disposed on and / or mounted on the circuit board 240.

[0160] According to an embodiment, at least one light emitter 250 may include a first light emitter 351 or a second light emitter 353. The first light emitter 351 and / or the second light emitter 353 may be disposed and / or mounted on a circuit board 240. According to an embodiment, the first light emitter 351 and / or the second light emitter 353 may each emit light of substantially the same or different wavelengths for measuring the user's oxygen saturation, to emit light toward a part of the user's body (e.g., a finger, the skin of the finger, and / or blood vessels).

[0161] According to the embodiment, the second light emitter 353 may be located between the first sensor 361 and the second sensor 363 relative to the center O of the wearable electronic device 200 along the circumferential direction of the housing 210.

[0162] According to an implementation, at least one sensor 260 may include a first sensor 361 (e.g., Figure 5 The first sensor 261) or the second sensor 363 (e.g., Figure 5 The second sensor 263). The first sensor 361 and / or the second sensor 363 can be configured to receive light emitted from at least one light emitter 250. The first sensor 361 can be configured to receive light along the first optical path 21 (e.g., Figure 5 The first optical path 11) receives at least a portion of the light passing through the user's body part, or along the third optical path 25 receives at least a portion of the light reflected by the user's body part. The second sensor 363 can be configured to receive light along the second optical path 23 (e.g., Figure 5The second optical path 13) receives at least a portion of the light reflected from the user's body parts or along the fourth optical path 27 receives at least a portion of the light reflected from the user's body parts.

[0163] According to the implementation, light emitted from the first light emitter 351 can pass through the user's body parts and be received by the first sensor 361 (see first optical path 21), or it can be reflected by the user's body parts and be received by the second sensor 363 (see second optical path 23). Light emitted from the second light emitter 363 can be reflected by the user's body parts and be received by the first sensor 361 (see third optical path 25), or it can be reflected by the user's body parts and be received by the second sensor 363 (see fourth optical path 27).

[0164] In the following text, refer to Figures 13 to 14 Describe the process (or the method of operation of wearable electronic device 200) for obtaining a user's oxygen saturation value (e.g., information about oxygen saturation).

[0165] Can be executed Figure 13 At least some of the operations. Can be changed. Figure 13 The order of operations. Operations can be executed in parallel. Figure 13 At least two of the operations. This can be performed during execution. Figure 13 Execute before, simultaneously with or after the operation except Figure 13 Operations other than those performed by the operator. Figure 13 The operation can be defined as being controlled by wearable electronic device 200 or processor 220.

[0166] According to the implementation, in operations 1101 and / or 1103, the processor 220 can obtain the user's oxygen saturation value via at least one sensor 260. Obtaining the user's oxygen saturation value via at least one sensor 260 can be an operation (or a generation operation) using a signal (e.g., light) detected by at least one sensor 260. For example, the processor 220 can obtain the user's oxygen saturation value based on an electrical signal transmitted from at least one sensor 260. For example, the processor 220 can generate the user's biometric information (e.g., information about oxygen saturation) based on signals received from at least one sensor 260.

[0167] According to the implementation method, in operation 1101, the processor 220 can obtain the user's second oxygen saturation value through the second optical path 23, the third optical path 25 and the fourth optical path 27.

[0168] According to the implementation, in operation 1101, the processor 220 can control the operation of the first light emitter 351 to emit light, and can use light emitted through a second optical path (e.g., Figure 12The optical path 23) uses the signal (e.g., light) received by the second sensor 363 to obtain the user's second-first oxygen saturation value. For example, in operation 1101, the processor 220 can control the operation of the first light emitter 351 to emit light with a first intensity (e.g., light). Figure 14 The first intensity i1) of the light. In operation 1101, the processor 220 can computationally process the fifth intensity (e.g., the light received by the second sensor 363) Figure 14 The processor 220 obtains the user's second-to-first oxygen saturation value using light of the fifth intensity i5. For example, the processor 220 can receive a signal corresponding to light of the first intensity i1 via the second sensor 363. For example, since the light received by the second sensor 363 is light reflected from the user's body parts (e.g., along...). Figure 12 The light propagating through the second optical path 23 can therefore have a lower intensity than the light emitted from the first optical emitter 351. In operation 1101, the processor 220 can be configured to allow the first optical emitter 351 to emit light at a first time (e.g., Figure 14 The first time t1).

[0169] According to the implementation, in operation 1101, the processor 220 can control the operation of the second light emitter 353 to emit light, and can use light emitted through a third optical path (e.g., Figure 12 The optical path 25) obtains the user's second-second oxygen saturation value from the signal (e.g., light) received by the first sensor 361. For example, in operation 1101, the processor 220 can control the operation of the second light emitter 353 to emit light with a third intensity (e.g., light). Figure 14 The third intensity (i3) of the light. In operation 1101, the processor 220 can computationally process the third intensity (e.g., i3) received by the first sensor 361. Figure 14 The processor 220 obtains the user's second-to-second oxygen saturation value using light of the seventh intensity i7. For example, the processor 220 can receive a signal corresponding to light of the third intensity i3 via the first sensor 361. For example, since the light received by the first sensor 361 is light reflected from the user's body parts (e.g., along...). Figure 12 The light propagated through the third optical path 25 can therefore have a lower intensity than the light emitted from the second light emitter 353. In operation 1101, the processor 220 can be configured to allow the second light emitter 353 to emit light at a first moment (e.g., Figure 14 The third time t3).

[0170] According to the implementation, in operation 1101, the processor 220 can control the operation of the second light emitter 353 to emit light, and can use light emitted through a fourth optical path (e.g., Figure 12The optical path 27) receives a signal (e.g., light) from the second sensor 363 to obtain the user's second-third oxygen saturation value. For example, in operation 1101, the processor 220 can control the operation of the second light emitter 353 to emit light with a fourth intensity (e.g., light). Figure 14 The fourth intensity (i4) of the light. In operation 1101, the processor 220 can computationally process the eighth intensity (e.g., the light received by the second sensor 363) by the second sensor 363. Figure 14 The processor 220 obtains the user's second-third oxygen saturation value using light of intensity i8 (the eighth intensity). For example, the processor 220 can receive a signal corresponding to light of intensity i4 via the second sensor 363. For example, since the light received from the second sensor 363 is light reflected from the user's body parts (e.g., along...). Figure 12 The light propagating through the fourth optical path 27 can therefore have a lower intensity than the light emitted from the second optical emitter 353. In operation 1101, the processor 220 can be configured to allow the second optical emitter 353 to emit light at a first moment (e.g., Figure 14 The fourth time t4).

[0171] According to the implementation, in operation 1103, the processor 220 can obtain the user's first oxygen saturation value through the first sensor 361. For example, in operation 1103, the processor 220 can control the operation of the first light emitter 351 to emit light, and can use the signal (e.g., light) received by the first sensor 361 to obtain the user's first oxygen saturation value. For example, in operation 1103, the processor 220 can control the operation of the first light emitter 351 to emit light with a second intensity (e.g., light). Figure 14 The second intensity i2) of the light. The second intensity i2 can be greater than the first intensity i1, the third intensity i3, or the fourth intensity i4. In operation 1103, the processor 220 can computationally process the sixth intensity (e.g., light received by the first sensor 361) Figure 14 The processor 220 obtains the user's first oxygen saturation value using light of intensity i6 (the sixth intensity i6). For example, the processor 220 can receive a signal corresponding to light of intensity i2 via the first sensor 361. For example, since the light received by the first sensor 361 is light reflected from the user's body parts (e.g., along...). Figure 12 The light propagating through the first optical path 21 can have an intensity lower than the light emitted from the first light emitter 351. In operation 1103, the processor 220 can be configured to allow the first light emitter 361 to emit light up to a second time (e.g., Figure 14 The second time t2 can be greater than the first time t1, the third time t3, or the fourth time t4.

[0172] According to the implementation, in operation 1101 and / or operation 1103, the light emission intensity of the first light emitter 351 and / or the second light emitter 353 can be varied according to the size of the wearable electronic device 200 and / or the distance between at least one light emitter 350 and at least one sensor 360.

[0173] According to an implementation, in operation 1105, the processor 220 can be configured to identify whether the measurement time exceeds a set time. For example, the processor 220 can be configured to identify whether the time for performing operations 1101 and / or 1103, which detect the user's oxygen saturation value via the first sensor 361 and / or the second sensor 363, exceeds a set time. For example, the set time can be defined and / or referred to as the sampling period (e.g., Figure 14 (Sampling period). For example, the measurement time can be defined as the time for executing operation 1101 and / or operation 1103. If the measurement time is less than or equal to the set time, the processor 220 can re-execute operation 1101 and / or operation 1103. For example, the measurement time can be about 15 seconds or longer, but is not limited to this. For example, if the measurement time is less than or equal to the set time, the processor 220 can repeat operation 1101 and / or operation 1103 multiple times. In this case, the first oxygen saturation value can be the average of multiple obtained oxygen saturation values, but is not limited to this. Each of the second-1 oxygen saturation value, the second-2 oxygen saturation value, and the second-3 oxygen saturation value can be the average of multiple obtained oxygen saturation values, but is not limited to this. If the measurement time exceeds the set time, the processor 220 can execute operation 1106.

[0174] According to the implementation, in operation 1006, processor 220 can determine a second oxygen saturation value that has the smallest difference from the first oxygen saturation value. For example, processor 220 can determine the value that is closest to the first oxygen saturation value obtained in the sampling period from among the second-1 oxygen saturation value, the second-2 oxygen saturation value, and the second-3 oxygen saturation value obtained in the sampling period. For example, if the second-1 oxygen saturation value is the same as or closest to the first oxygen saturation value, processor 220 can determine the second-1 oxygen saturation value as the second oxygen saturation value. In the following description, operations 1107, 1109, 1111, and / or 1113 are described using the example of determining the second oxygen saturation value as the second oxygen saturation value; however, the description can be applied and / or understood equivalently even when the second-2 oxygen saturation value and / or the second-3 oxygen saturation value are determined as the second oxygen saturation value.

[0175] According to an implementation, in operation 1107, processor 220 can be configured to identify whether the difference between oxygen saturation values ​​is equal to or less than a set value. For example, the difference between oxygen saturation values ​​can be an error rate between a first oxygen saturation value and a determined second oxygen saturation value (e.g., the second oxygen saturation value determined in operation 1106). For example, the error rate (%) can be a value obtained by subtracting the first oxygen saturation value from the determined second oxygen saturation value and then dividing it by the first oxygen saturation value, but is not limited thereto. The set value can be a threshold set to enhance the reliability (or accuracy) of oxygen saturation measurement. For example, the set value can be about 4%, but is not limited thereto. In operation 1107, when the difference between oxygen saturation values ​​is less than or equal to the set value, processor 220 can execute operation 1109. In operation 1107, if the difference between oxygen saturation values ​​exceeds the set value, processor 220 can execute operation 1111.

[0176] According to the implementation, in operation 1109, the processor 220 can determine the determined second oxygen saturation value as the final oxygen saturation value. For example, if the difference between oxygen saturation values ​​is less than or equal to a set value, the difference between the second oxygen saturation value obtained by the second sensor 363 and the first oxygen saturation value obtained by the first sensor 361 may be small. In operation 1109, the processor 220 can control the first light emitter 351 and the second sensor 363 every fifth time interval (e.g., Figure 14 The second oxygen saturation value is obtained repeatedly at the fifth time t5. For example, processor 220 can control at least one light emitter 250 during the detection cycle (e.g., Figure 14 During the detection cycle, light of first intensity i1 is emitted, and a second oxygen saturation value can be obtained based on light of ninth intensity i9 detected by the second sensor 363. The processor 220 can store the repeatedly obtained second oxygen saturation value as a final oxygen saturation value in the memory 230. The processor 220 and / or communication module 290 can transmit information about the second oxygen saturation value stored in the memory 230 to an external electronic device (e.g., [missing information]). Figure 1 External electronic device 102 or 104 or Figure 2 Electronic devices S1 to S8).

[0177] According to the implementation, in operation 1111, the processor 220 can calculate a calibration value for the oxygen saturation value. For example, if the difference between the oxygen saturation values ​​exceeds a set value, the difference between the second oxygen saturation value obtained by the second sensor 363 and the first oxygen saturation value obtained by the first sensor 361 may be large. In operation 1111, the processor 220 can calculate the calibration value obtained by subtracting the second oxygen saturation value from the first oxygen saturation value.

[0178] According to the implementation, in operation 1113, the processor 220 can calibrate the second oxygen saturation value to determine the final oxygen saturation value. For example, if the difference between the oxygen saturation values ​​exceeds a set value, the difference between the second oxygen saturation value obtained by the second sensor 363 and the first oxygen saturation value obtained by the first sensor 361 may be large. In operation 1113, the processor 220 can control the first light emitter 351 and the second sensor 363 every fifth time interval (e.g., Figure 14 The second oxygen saturation value is repeatedly obtained at the fifth time t5, and the calibration value can be added to the obtained second oxygen saturation value. For example, in operation 1113, during the detection cycle (e.g., Figure 14 During the detection cycle, processor 220 can store the value obtained by adding the calibration value to the repeatedly obtained second oxygen saturation value as the final oxygen saturation value in memory 230. Processor 220 and / or communication module 290 can transmit information about the final oxygen saturation value stored in memory 230 to an external electronic device (e.g., Figure 1 External electronic device 102 or 104 or Figure 2 Electronic devices S1 to S8).

[0179] According to an implementation, processor 220 can detect changes in the user's posture. For example, processor 220 can detect changes in the user's posture using sensors (e.g., accelerometers or gyroscopes) included in the wearable electronic device 200. Furthermore, processor 220 can interact with external electronic devices (e.g., Figure 2 The smartwatch S8 works in conjunction with external electronics to detect changes in the user's posture using sensors (such as accelerometers or gyroscopes) included in the external electronics.

[0180] According to the implementation, the processor 220 can obtain the user's oxygen saturation value by operating 1101, 1103, 1105, 1106, 1107, 1109, 1111 and 1113.

[0181] According to the implementation, if no change in the user's posture is detected, the processor 220 can obtain the user's final oxygen saturation value through operation 1109, or through operation 1111 and / or operation 1113.

[0182] According to the implementation, if a change in the user's posture is detected, the processor 220 can re-execute operations 1101, 1103, 1105, 1106, 1107, 1109, 1111, and 1113. For example, if the user's posture changes, the relative position or degree of contact between the wearable electronic device 200 and the user's body parts may change. In this case, operations 1101, 1103, 1105, 1106, 1107, 1109, 1111, and 1113 can be re-executed to obtain the user's final oxygen saturation value through operation 1109, or the user's final oxygen saturation value can be obtained through operation 1111 and / or operation 1113.

[0183] Figure 15 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0184] Figure 16 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0185] Figure 17 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0186] Figure 18 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0187] Figure 19 This is a cross-sectional view showing a wearable electronic device according to an embodiment of the present disclosure.

[0188] Figures 15 to 19 The implementation method can be with Figures 1 to 14 The combination of implementation methods.

[0189] Reference Figures 15 to 19 Wearable electronic devices 200 (e.g., Figures 2 to 6 Wearable electronic devices 200 Figure 10 Wearable electronic devices 200 or Figure 12 The wearable electronic device (200) may include a housing 210, a processor 220, a memory 230, a circuit board 440, 540, 640, 740 or 840, at least one light emitter 250, at least one sensor 260, a charging circuit 277, a battery 489, 589, 689, 789 or 889, a communication module 290 or an antenna 297.

[0190] Figures 15 to 19The configuration of the housing 210, processor 220, memory 230, circuit board 440, 540, 640, 740 or 840, at least one light emitter 250, at least one sensor 260, charging circuit 277, battery 489, 589, 689, 789 or 889, communication module 290 or antenna 297 can be wholly or partially integrated with... Figure 12 The housing 210, processor 220, memory 230, circuit board 240, at least one light emitter 250, at least one sensor 260, charging circuit 277, battery 289, communication module 290 or antenna 297 are configured identically.

[0191] According to an embodiment, the housing 210 may include an outer housing portion 211 (e.g., Figure 12 The outer housing portion 211) and the inner housing portion 213 connected to the outer housing portion 211 (e.g., Figure 12 (internal shell portion 213).

[0192] According to the implementation, the processor 220, memory 230 or communication module 290 may be disposed and / or mounted on circuit boards 440, 540, 640, 740 or 840.

[0193] Reference Figure 15 The wearable electronic device 200 may include a battery 489. The battery 489 may be disposed in the housing 210.

[0194] According to an embodiment, at least one light emitter 250 may include a first light emitter 451, a second light emitter 453, or a third light emitter 455. The first light emitter 451, the second light emitter 453, and / or the third light emitter 453 may be disposed and / or mounted on a circuit board 440. Each of the first light emitter 451, the second light emitter 453, and / or the third light emitter 453 may emit light of substantially the same or different wavelengths for measuring the user's oxygen saturation, directed toward a part of the user's body (e.g., a finger, the skin of the finger, and / or blood vessels). The first light emitter 451, the second light emitter 453, and / or the third light emitter 455 may be spaced apart from each other circumferentially within the housing 210. The light emitted from the first light emitter 451, the second light emitter 453, and / or the third light emitter 455 may be reflected or pass through the user's body part and may be received by at least one sensor 260.

[0195] According to an embodiment, at least one sensor 260 may include a first sensor 461, a second sensor 463, or a third sensor 465. The first sensor 461, the second sensor 463, and / or the third sensor 465 may be configured to receive at least a portion of light emitted from at least one light emitter 250. The first sensor 461, the second sensor 463, and / or the third sensor 465 may be electrically connected to a circuit board 440. At least one of the first sensor 461, the second sensor 463, and / or the third sensor 465 may be disposed on a battery 489. For example, the second sensor 463 may be disposed on a battery 489. The first sensor 461 and / or the third sensor 465 may be disposed on and / or mounted on the circuit board 440.

[0196] According to an implementation, the processor 220 can use signals (e.g., light) detected by the first sensor 461, the second sensor 463 and / or the third sensor 465 to obtain information about the user's oxygen saturation.

[0197] According to an embodiment, the wearable electronic device 200 may include a temperature sensor 285. The temperature sensor 285 may be disposed on and / or mounted on a circuit board 440. The temperature sensor 285 may be a sensor for measuring the internal temperature of the wearable electronic device 200 or the user's body. It may be a contact or non-contact sensor. The temperature value measured by the temperature sensor 285 may be stored in a memory 230 or transmitted to a processor 220. The processor 220 may use the temperature sensor 285 to measure the user's body temperature or the temperature of the wearable device 200.

[0198] According to an embodiment, the wearable electronic device 200 may include an inertial sensor 286. The inertial sensor 286 may be disposed on and / or mounted on a circuit board 440. The inertial sensor 286 may be a sensor that detects inertia, such as an accelerometer or a gyroscope. The inertial sensor 286 may include only an accelerometer (e.g., a three-axis sensor), or may include both an accelerometer and a gyroscope (e.g., a six-axis sensor). The processor 220 may use the inertial sensor 286 to sense the movement, gesture, impact, posture, or activity of the wearable device 200. For example, the processor 220 may include an accelerometer 286 disposed in a housing 210. The processor 220 may be configured to use the accelerometer 286 to identify changes in the user's posture. The processor 220 may control the light emitter 250 to emit first light based at least in part on the identification that the user's posture has changed. The processor 220 may be configured to receive a first signal corresponding to the first light via a first sensor 261.

[0199] According to an embodiment, the wearable electronic device 200 may include a power management module 288. The power management module 288 may be disposed on and / or mounted on a circuit board 440. The power management module 288 may be a module for managing the power of the wearable device 200. The wearable device 200 may appropriately distribute and control power to the processor 220, at least one light emitter 250, or at least one sensor 260 via the power management module 288.

[0200] According to an embodiment, the wearable electronic device 200 may include a controller 287 for a PPG sensor. The controller 287 for the PPG sensor may be disposed on and / or mounted on a circuit board 440. The controller 287 for the PPG sensor may include an integrated circuit (IC) or an analog front end (AFE). The controller 287 for the PPG sensor may control at least one light emitter 250 and / or at least one sensor 260, process received data, and send the data to a processor 220 or store the data in a memory 230.

[0201] Reference Figure 16 The wearable electronic device 200 may include a battery 589. The battery 589 may be disposed in the housing 210.

[0202] According to one embodiment, the wearable electronic device 200 may include a connection substrate 542. The connection substrate 542 may be disposed inside the housing 210. The connection substrate 542 may extend from the circuit board 540. The connection substrate 542 may be electrically connected to the circuit board 540. The connection substrate 542 may include a flexible printed circuit board (FPCB).

[0203] According to an embodiment, in order to measure a user's oxygen saturation, at least one light emitter 250 can emit light of substantially the same wavelength or each of different wavelengths, and can emit light toward a part of the user's body (e.g., a finger, the skin of the finger, and / or blood vessels). At least one light emitter 250 can be disposed and / or mounted on a circuit board 540. Light emitted from at least one light emitter 250 can be reflected by or pass through the user's body part and received by at least one sensor 260. For example, light emitted from at least one light emitter 250 can pass through the user's body part along a first path 51 and propagate to a first sensor 561, or can be reflected by the user's body part along a second path 53 and propagate to a second sensor 563.

[0204] According to an embodiment, at least one sensor 260 may include a first sensor 561 or a second sensor 563. The first sensor 561 and / or the second sensor 563 may be configured to receive light emitted from at least one light emitter 250. The first sensor 561 and / or the second sensor 563 may be electrically connected to a circuit board 540. The first sensor 561 and / or the second sensor 563 may be disposed on and / or mounted on a connection substrate 542.

[0205] According to an embodiment, the battery 589 may include a first recess 5891 or a second recess 5893. The first recess 5891 and / or the second recess 5893 may be recessed in the battery 589. A first sensor 561 may be disposed in the first recess 5891. A second sensor 563 may be disposed in the second recess 5893.

[0206] According to an implementation, the processor 220 can use signals (e.g., light) detected by the first sensor 561 and / or the second sensor 563 to obtain information about the user's oxygen saturation.

[0207] Reference Figure 17 The wearable electronic device 200 may include a battery 689. The battery 689 may be disposed in the housing 210.

[0208] According to one embodiment, the wearable electronic device 200 may include a connection substrate 642. The connection substrate 642 may be disposed inside the housing 210. The connection substrate 642 may extend from the circuit board 640. The connection substrate 642 may be electrically connected to the circuit board 640. The connection substrate 642 may include a flexible printed circuit board (FPCB).

[0209] According to an embodiment, in order to measure a user's oxygen saturation, at least one light emitter 250 can emit light of substantially the same wavelength or each of different wavelengths, and can emit light toward a part of the user's body (e.g., a finger, the skin of the finger, and / or blood vessels). At least one light emitter 250 can be disposed and / or mounted on a circuit board 640. Light emitted from at least one light emitter 250 can be reflected by or pass through the user's body part and received by at least one sensor 260. For example, light emitted from at least one light emitter 250 can pass through the user's body part along a first path 61 and propagate to a first sensor 661, or can be reflected by the user's body part along a second path 63 and propagate to a second sensor 663.

[0210] According to an embodiment, at least one sensor 260 may include a first sensor 661 or a second sensor 663. The first sensor 661 and / or the second sensor 663 may be configured to receive light emitted from at least one light emitter 250. The first sensor 661 and / or the second sensor 663 may be electrically connected to a circuit board 640. The first sensor 661 and / or the second sensor 663 may be disposed on and / or mounted on a connection substrate 642.

[0211] According to an embodiment, the first sensor 661 and / or the second sensor 663 may not be located within the internal space of the wearable electronic device 200 formed by the outer housing portion 211 and the inner housing portion 213. For example, the first sensor 661 and / or the second sensor 663 may be positioned to protrude from the inner housing portion 213 toward the center O of the wearable electronic device.

[0212] According to an embodiment, housing 210 may include a housing portion 215. The housing portion 215 may be coupled to an inner housing portion 213. The housing portion 215 may be configured to cover at least one sensor 260. The housing portion 215 may include a transparent material (e.g., resin) through which light can pass. The housing portion 215 may include a first housing portion 2151 or a second housing portion 2153. The first housing portion 2151 may be configured to cover a first sensor 661. The second housing portion 2153 may be configured to cover a second sensor 663.

[0213] According to an implementation, the processor 220 can use signals (e.g., light) detected by the first sensor 661 and / or the second sensor 663 to obtain information about the user's oxygen saturation.

[0214] Reference Figure 18 The wearable electronic device 200 may include a battery 789. The battery 789 may be disposed in the housing 210.

[0215] According to one embodiment, the wearable electronic device 200 may include a connection substrate 742. The connection substrate 742 may be disposed inside the housing 210. The connection substrate 742 may extend from the circuit board 740. The connection substrate 742 may be electrically connected to the circuit board 740. The connection substrate 742 may include a flexible printed circuit board (FPCB).

[0216] According to an embodiment, at least one light emitter 250 may include a first light emitter 751, a second light emitter 753, or a third light emitter 755. The first light emitter 751 may be disposed on a circuit board 740. The second light emitter 753 and / or the third light emitter 753 may be disposed on and / or mounted on a connection substrate 742. Each of the first light emitter 751, the second light emitter 753, and / or the third light emitter 753 may emit light of substantially the same or different wavelengths for measuring the user's oxygen saturation, directed toward a part of the user's body (e.g., a finger, the skin of the finger, and / or blood vessels). The first light emitter 751, the second light emitter 753, and / or the third light emitter 755 may be spaced apart from each other circumferentially within the housing 210. The light emitted from the first light emitter 751, the second light emitter 753, and / or the third light emitter 755 may be reflected or pass through the user's body part and may be received by at least one sensor 260.

[0217] According to an embodiment, at least one sensor 260 may include a first sensor 761 or a second sensor 763. The first sensor 761 and / or the second sensor 763 may be configured to receive light emitted from at least one light emitter 250. The first sensor 761 and / or the second sensor 763 may be electrically connected to a circuit board 740. The first sensor 761, the second sensor 763, and / or the third sensor 765 may be disposed on and / or mounted on a connection substrate 742.

[0218] According to an embodiment, the second light emitter 753, the third light emitter 755, the first sensor 761, the second sensor 763, and / or the third sensor 765 may not be located within the internal space of the wearable electronic device 200 formed by the outer housing portion 211 and the inner housing portion 213. For example, the second light emitter 753, the third light emitter 755, the first sensor 761, the second sensor 763, and / or the third sensor 765 may be positioned to protrude from the inner housing portion 213 toward the center O of the wearable electronic device.

[0219] According to an embodiment, housing 210 may include a housing portion 215. The housing portion 215 may be coupled to an inner housing portion 213. The housing portion 215 may be configured to cover a second light emitter 753, a third light emitter 755, a first sensor 761, a second sensor 763, and / or a third sensor 765. The housing portion 215 may include a transparent material (e.g., resin) through which light can pass. The housing portion 215 may include a first housing portion 3151, a second housing portion 3152, a third housing portion 3153, a fourth housing portion 3154, or a fifth housing portion 3155. The first housing portion 3151 may be configured to cover the first sensor 761. The second housing portion 3153 may be configured to cover the second light emitter 753. The third housing portion 3153 may be configured to cover the second sensor 763. The fourth housing portion 3154 may be configured to cover the third light emitter 755. The fifth housing portion 3155 can be configured to cover the third sensor 765.

[0220] According to an implementation, the processor 220 can use signals (e.g., light) detected by the first sensor 761, the second sensor 763 and / or the third sensor 765 to obtain information about the user's oxygen saturation.

[0221] Reference Figure 19 The wearable electronic device 200 may include a battery 889. The battery 889 may be disposed in the housing 210.

[0222] According to one embodiment, the wearable electronic device 200 may include a connection substrate 842. The connection substrate 842 may be disposed inside the housing 210. The connection substrate 842 may extend from the circuit board 840. The connection substrate 842 may be electrically connected to the circuit board 840. The connection substrate 842 may include a flexible printed circuit board (FPCB).

[0223] According to an embodiment, at least one light emitter 250 may include a first light emitter 851 or a second light emitter 853. The first light emitter 851 and / or the second light emitter 853 may be disposed and / or mounted on a connection substrate 842. Both the first light emitter 851 and / or the second light emitter 853 may emit light of substantially the same or different wavelengths for measuring the user's oxygen saturation, directed toward the user's body parts (e.g., fingers, finger skin, and / or blood vessels). The first light emitter 851 and / or the second light emitter 853 may be spaced apart from each other circumferentially within the housing 210. Light emitted from the first light emitter 851 and / or the second light emitter 853 may be reflected or pass through the user's body parts and may be received by at least one sensor 260.

[0224] According to the embodiment, light emitted from the first light emitter 851 can travel along a first path 81 through the user's body part and propagate to at least one sensor 260. Light emitted from the second light emitter 853 can travel along a second path 83, be reflected by the user's body part, and propagate to at least one sensor 260.

[0225] According to an embodiment, at least one sensor 260 may be configured to receive light emitted from at least one light emitter 250. At least one sensor 260 may be disposed on and / or mounted on a circuit board 840.

[0226] According to an implementation, the processor 220 can use a signal (e.g., light) detected by at least one sensor 260 to obtain information about the user's oxygen saturation.

[0227] As users become increasingly interested in health, technologies are being developed to measure biometric signals through wearable electronic devices worn by users. For example, heart rate, electrocardiogram, blood pressure, pulse rate, respiratory rate, body temperature, and oxygen saturation (SpO2) can be measured using sensors included in the electronic devices.

[0228] Sensors can be incorporated into wearable electronic devices to acquire biometric information about a user's heart rate or blood oxygen saturation. As an example, a photoplethysmography (PPG) sensor may include a light source and a light-receiving unit for receiving light emitted from the light source, and the wearable electronic device can acquire biometric information about the user based on the light signal detected by the light-receiving unit.

[0229] In the case of ring-type wearable electronic devices worn on a user's finger, the biometric information obtained may be inaccurate because the light signal detected by the light receiving unit deteriorates according to the user's sleeping posture, or because large blood vessels are located in the light path.

[0230] Simultaneously, light emitted from the light source passes through or is reflected from the user's blood vessels or skin. It is generally known that biometric information about a user is more accurate when based on light signals passing through the user's finger. However, a problem exists where emitting light through the user's finger incurs significant current consumption. Furthermore, while biometric information about a user is known to have relatively low current consumption when based on light signals reflected from the user's finger, the accuracy of the biometric information is lower.

[0231] According to embodiments of this disclosure, a wearable electronic device can be provided that can obtain a user's biometric information based on light reflected from or passing through the user's finger using multiple sensors.

[0232] According to embodiments of this disclosure, a wearable electronic device can be provided that can use a transmission sensor to improve the reliability of oxygen saturation obtained by the reflection sensor when using a reflection sensor to detect the user's oxygen saturation.

[0233] This disclosure is not limited to the foregoing embodiments, but can be modified or changed in various ways without departing from the spirit and scope of this disclosure.

[0234] According to embodiments of this disclosure, the current consumption of wearable electronics can be reduced by minimizing the operating time of a transmission sensor with high accuracy.

[0235] According to embodiments of this disclosure, wearable electronic devices can provide more reliable biometric information by using a transmission sensor with higher accuracy to identify or calibrate biometric information based on signals detected by a reflection sensor.

[0236] The effects obtainable from this disclosure are not limited to those described above, and other effects not mentioned below may be apparent to those skilled in the art based on the following description.

[0237] According to embodiments of this disclosure, a wearable electronic device 200 may include a housing 210, a light emitter 250, a first sensor 261, a second sensor 263, and at least one processor 220 or a memory 230. The housing 210 may include an outer housing portion 211 or an inner housing portion 213. The inner housing portion 213 may be coupled to the outer housing portion 211. The inner housing portion 213 may be configured to be at least partially transparent. The light emitter 250 may be disposed within the housing 210. The light emitter 250 may be configured to emit light through the inner housing portion 213. The first sensor 261 may be disposed within the housing 210. The first sensor 261 may be configured to receive light passing through a user's finger. The second sensor 263 may be disposed within the housing 210. The second sensor 263 may be configured to receive light reflected by the user's finger. At least one processor may include processing circuitry. The memory 230 may store instructions. When executed by at least one processor 220 alone or together, the instructions can cause the wearable electronic device 200 to control the light emitter 250 to emit a first light, receive a first signal corresponding to the first light via a first sensor 261, control the light emitter 250 to emit a second light, receive a second signal corresponding to the second light via a second sensor 263, and generate biometric information based on the first signal or the second signal.

[0238] According to the implementation method, biometric information may include information about oxygen saturation or information about heart rate.

[0239] According to the implementation, the light emitter 250 can be configured to emit light in multiple bands, including red wavelengths and infrared wavelengths.

[0240] According to the implementation method, the distance between the first sensor 261 and the light emitter 250 can be greater than the distance between the second sensor 263 and the light emitter 250.

[0241] According to the implementation, the instructions can be executed by at least one processor 220 alone or together to cause the wearable electronic device 200 to control the light emitter 250 to emit a second light with a first intensity, and to control the light emitter 250 to emit a first light with a second intensity different from the first intensity after emitting the second light.

[0242] According to the implementation method, the first strength may be less than the second strength.

[0243] According to the implementation, the instructions can be executed by at least one processor 220 alone or together to cause the wearable electronic device 200 to generate biometric information using the second signal, based at least in part on the recognition that the difference between the first signal and the second signal is less than or equal to a threshold.

[0244] According to the implementation, the instructions can cause the wearable electronic device 200, when executed alone or together by at least one processor 220, to generate biometric information by calibrating the second signal, based at least in part on the recognition that the difference between the first signal and the second signal is greater than a threshold.

[0245] According to the implementation, the instructions can cause the wearable electronic device 200 to adjust the light emission intensity or light emission period of the light emitter 250 at least in part based on the difference, when executed individually or jointly by at least one processor 220.

[0246] According to an implementation, the instructions can be executed individually or jointly by at least one processor 220 to cause the wearable electronic device 200 to generate biometric information by adding a calibration value corresponding to the difference to a second signal.

[0247] According to an embodiment, the wearable electronic device 200 may further include an accelerometer 286. The accelerometer 286 may be disposed in the housing 210. Instructions may be executed, individually or jointly, by at least one processor 220, to cause the wearable electronic device 200 to: use the accelerometer 286 to identify a change in the user's posture; based at least in part on the identification of the change in the user's posture, control the light emitter 250 to emit first light; and receive a first signal corresponding to the first light via a first sensor 261.

[0248] According to an embodiment, the wearable electronic device 200 may further include a third sensor 265. The third sensor 265 may be disposed within the housing 210. The third sensor 265 may be located between the first sensor 261 and the second sensor 263. The third sensor 265 may be configured to receive light reflected by a user's finger. Instructions may be executed individually or jointly by at least one processor 220 to cause the wearable electronic device 200 to: receive a third signal corresponding to a third light via the third sensor 265, and generate biometric information based at least in part on the recognition that the difference between the first signal and the third signal is less than the difference between the first signal and the second signal.

[0249] According to an embodiment, the wearable electronic device 200 may further include a first wall 271, a second wall 273, or a battery 289. The first wall 271 may be located between the first sensor 261 and the second sensor 263. The second wall 273 may be located between the second sensor 263 and the light emitter 250. The battery 289 may be disposed in the housing 210.

[0250] According to the implementation, at least one of the light emitter 250, the first sensor 463, or the second sensor 465 may be disposed on the battery 489.

[0251] According to embodiments of this disclosure, a wearable electronic device 200 may include a housing 210, a light emitter 250, a first sensor 261, a second sensor 263, and at least one processor 220 or a memory 230. The housing 210 may include an outer housing portion 211 or an inner housing portion 213. The inner housing portion 213 may be coupled to the outer housing portion 211. The inner housing portion 213 may be configured to be at least partially transparent. The light emitter 250 may be disposed within the housing 210. The light emitter 250 may be configured to emit light through the inner housing portion 213. The first sensor 261 may be disposed within the housing 210. The first sensor 261 may be configured to receive light passing through a user's finger. The second sensor 263 may be disposed within the housing 210. The second sensor 263 may be configured to receive light reflected by the user's finger. At least one processor 220 may include processing circuitry. The memory 230 may store instructions. The instructions can be executed individually or jointly by at least one processor 220 to cause the wearable electronic device 200 to: control a light emitter 250 to emit a first light, receive a first signal via a first sensor 261, control a light emitter 250 to emit a second light, receive a second signal via a second sensor 263, generate biometric information based at least in part on an identification that the difference between the first signal and the second signal is less than or equal to a threshold, and generate biometric information by calibrating the second signal with a calibration value corresponding to the difference, based at least in part on an identification that the difference between the first signal and the second signal is greater than the threshold.

[0252] According to the implementation method, biometric information may include information about oxygen saturation or information about heart rate.

[0253] According to an embodiment, the wearable electronic device 200 may further include an accelerometer 286. The accelerometer 286 may be disposed in the housing 210. Instructions, when executed by at least one processor 220, may cause the wearable electronic device 200 to: use the accelerometer 286 to identify a change in the user's posture, and based at least in part on the identification of the change in the user's posture, control the light emitter 250 to emit first light, and receive a first signal corresponding to the first light via a first sensor 261.

[0254] According to embodiments of this disclosure, a housing 210 may be included, along with a first sensor 261, a second sensor 263, a third sensor 265, and at least one processor 220 or memory 230. The housing 210 may have an annular shape. The housing 210 may include an outer housing portion 211 or an inner housing portion 213. The inner housing portion 213 may be coupled to the outer housing portion 211. The inner housing portion 213 may be configured to be at least partially transparent. A light emitter 250 may be disposed within the housing 210. The light emitter 250 may be configured to emit light through the inner housing portion 213. The light emitter 250 may be disposed within the housing 210. The light emitter 250 may be configured to receive light passing through a user's finger. The second sensor 263 may be disposed within the housing 210. The second sensor 263 may be configured to receive light reflected from the user's finger. The third sensor 265 may be disposed within the housing 210. The third sensor 265 may be located between the first sensor 261 and the second sensor 263. The third sensor 265 may be configured to receive light reflected from the user's finger. At least one processor 220 may include processing circuitry. Memory 230 may store instructions. The instructions may, when executed individually or jointly by at least one processor 220, cause the wearable electronics 200 to generate information about oxygen saturation using signals received by a first sensor 261, a second sensor 263, and a third sensor 265.

[0255] According to an implementation, the instructions can be executed individually or jointly by at least one processor 220 to cause the wearable electronic device 200 to: control the light emitter 250 to emit light of a first intensity to detect light in a second sensor 263, control the light emitter 250 to emit light of a second intensity to detect light in a third sensor 265, and control the light emitter 250 to emit light of a third intensity to detect light in a first sensor 261. The first intensity, the second intensity, and the third intensity can be different from each other.

[0256] According to one embodiment, the wearable electronic device 200 may further include a battery 289. The battery 289 may be disposed within the housing 210. The battery 289 may have a shape that is at least partially curved.

[0257] While this disclosure has been shown and described with reference to exemplary embodiments thereof, it will be apparent to those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of this disclosure as defined by the appended claims.

[0258] The electronic device according to various embodiments of this disclosure can be one of a variety of types of electronic devices. 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. According to embodiments of this disclosure, the electronic device is not limited to those described above.

[0259] It should be understood that the various embodiments of this disclosure and the terminology used therein are not intended to limit the technical features set forth herein to the specific embodiments, but rather to include various changes, equivalents, or substitutions to the respective embodiments. In the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It will be understood that nouns in the singular form corresponding to terms may include one or more things unless the relevant context clearly indicates otherwise. As used herein, each of the phrases such as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B, or C,” “at least one of A, B, and C,” and “at least one of A, B, or C” may include all possible combinations of items enumerated together with the corresponding phrase among the plurality of phrases. As used herein, terms such as “first” and “second” or “first” and “second” may be used to simply distinguish one component from another and do not limit the components in other respects (e.g., importance or order). It will be understood that, whether the terms “operably” or “communically” are used or not, if an element (e.g., a first element) is referred to as “combined with another element (e.g., a second element),” “combined to another element (e.g., a second element),” “connected to another element (e.g., a second element),” or “connected to another element (e.g., a second element)”, it means that the element can be directly (e.g., wiredly) connected to the other element, wirelessly connected to the other element, or connected to the other element via a third element.

[0260] As used herein, the term "module" can include units implemented in hardware, software, or firmware, and is used interchangeably with other terms such as "logic," "logic block," "part," or "circuit." A module can be a single integrated component adapted to perform one or more functions, or the smallest unit or part of that single integrated component. For example, according to an embodiment, a module can be implemented in the form of an application-specific integrated circuit (ASIC).

[0261] The various embodiments set forth herein can be implemented as software (e.g., program 140) containing one or more instructions readable by a machine (e.g., electronic device 101) stored in a storage medium (e.g., internal memory 136 or external memory 138). For example, under the control of a processor, the processor (e.g., processor 120) of the machine (e.g., electronic device 101) can invoke and execute at least one of the one or more instructions stored in the storage medium, with or without the use of one or more other components. This enables the machine to operate to perform at least one function according to the invoked at least one instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. Machine-readable storage media may be provided in the form of non-transitory storage media. The term "non-transitory" simply means that the storage medium is a tangible device and does not include signals (e.g., electromagnetic waves), but this term does not distinguish between data being stored semi-permanently in the storage medium and data being temporarily stored in the storage medium.

[0262] According to embodiments, methods according to various embodiments of this disclosure may be included and provided in a computer program product. The computer program product can be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., a compact disk read-only memory (CD-ROM)) or via an app store (e.g., the Play Store). TM The computer program product may be published online (e.g., downloaded or uploaded), or may be distributed directly between two user devices (e.g., smartphones) (e.g., downloaded or uploaded). If published online, at least a portion of the computer program product may be temporarily generated, or at least a portion of the computer program product may be temporarily stored in a machine-readable storage medium (such as the memory of a manufacturer's server, an app store's server, or a forwarding server).

[0263] According to various embodiments, each of the above-described components (e.g., a module or program) may include a single entity or multiple entities. Some of the multiple entities may be separately located in different components. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Optionally or additionally, multiple components (e.g., modules or programs) may be integrated into a single component. In this case, according to various embodiments, the integrated component may still perform the one or more functions of each of the multiple components in the same or similar manner as the corresponding component of the multiple components performed one or more functions before integration. According to various embodiments, the operations performed by a module, program, or other component may be performed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be run in a different order or omitted, or one or more other operations may be added.

Claims

1. A wearable electronic device (200), comprising: The housing (210) includes an outer housing portion (211) and an inner housing portion (213), the inner housing portion (213) being coupled to the outer housing portion (211) and configured to be at least partially transparent; A light emitter (250) is disposed in the housing (210) and configured to emit light through the inner housing portion (213); A first sensor (261) is disposed in the housing (210) and configured to receive light passing through the user's finger; A second sensor (263) is disposed in the housing (210) and configured to receive light reflected by the user's finger; At least one processor (220), including processing circuitry; and A memory (230) stores instructions, wherein the instructions, when executed individually or jointly by the at least one processor (220), cause the wearable electronic device (200) to: Control the light emitter (250) to emit the first light; The first signal corresponding to the first light is received via the first sensor (261); Control the light emitter (250) to emit a second light; The second sensor (263) receives a second signal corresponding to the second light; and Biometric information is generated based on the first signal or the second signal.

2. The wearable electronic device according to claim 1, wherein, The at least one piece of biometric information includes information about oxygen saturation or information about heart rate.

3. The wearable electronic device of claim 1 or 2, wherein, The light emitter (250) is configured to emit light in multiple bands, including red and infrared wavelengths.

4. The wearable electronic device of any one of claims 1 to 3, wherein, The distance between the first sensor (261) and the light emitter (250) is greater than the distance between the second sensor (263) and the light emitter (250).

5. The wearable electronic device of any one of claims 1 to 3, wherein, The instructions, when executed individually or jointly by the at least one processor (220), cause the wearable electronic device (200) to: Control the light emitter (250) to emit the second light with a first intensity; as well as The light emitter (250) is controlled to emit the first light with a second intensity different from the first intensity after emitting the second light.

6. The wearable electronic device of any one of claims 1 to 5, wherein, The first strength is less than the second strength.

7. The wearable electronic device according to any one of claims 1 to 6, wherein, The instructions, when executed individually or jointly by the at least one processor (220), cause the wearable electronic device (200) to: The biometric information is generated using the second signal, based at least in part on the recognition that the difference between the first signal and the second signal is less than or equal to a threshold.

8. The wearable electronic device of any one of claims 1 to 7, wherein, The instructions, when executed individually or jointly by the at least one processor (220), cause the wearable electronic device (200) to: The biometric information is generated by calibrating the second signal, based at least in part on the recognition that the difference between the first signal and the second signal is greater than the threshold.

9. The wearable electronic device of any one of claims 1 to 8, wherein, The instructions, when executed alone or in part by the at least one processor (220), cause the wearable electronic device (200) to: The light emission intensity or light emission period of the light emitter (250) is adjusted at least in part based on the difference.

10. The wearable electronic device of any one of claims 1 to 9, wherein, The instructions, when executed individually or jointly by the at least one processor (220), cause the wearable electronic device (200) to: The biometric information is generated by adding a calibration value corresponding to the difference to the second signal.

11. The wearable electronic device according to any one of claims 1 to 10, further comprising an acceleration sensor (286) disposed in the housing (210). wherein The instructions, when executed individually or jointly by the at least one processor (220), cause the wearable electronic device (200) to: The accelerometer (286) is used to identify changes in the user's posture; Based at least in part on the recognition that the user's posture has been changed, the light emitter (250) is controlled to emit the first light; as well as The first signal corresponding to the first light is received via the first sensor (261).

12. The wearable electronic device according to any one of claims 1 to 11, further comprising a third sensor (265) disposed in the housing (210) between the first sensor (261) and the second sensor (263), and configured to receive light reflected by the user's finger. wherein The instructions, when executed individually or jointly by the at least one processor (220), cause the wearable electronic device (200) to: The third sensor (265) receives a third signal corresponding to the third light emitted from the light emitter (250); and The biometric information is generated based at least in part on the recognition that the difference between the first signal and the third signal is less than the difference between the first signal and the second signal.

13. The wearable electronic device according to any one of claims 1 to 12, further comprising: The first wall (271) is located between the first sensor (261) and the second sensor (263); The second wall (273) is located between the second sensor (263) and the light emitter (250); and The battery (289) is disposed in the housing (210).

14. The wearable electronic device according to any one of claims 1 to 13, wherein, At least one of the light emitter (250), the first sensor (463) or the second sensor (465) is disposed on the battery (489).

15. A wearable electronic device (200), comprising: The housing (210) includes an outer housing portion (211) and an inner housing portion (213), the inner housing portion (213) being coupled to the outer housing portion (211) and configured to be at least partially transparent; A light emitter (250) is disposed in the housing (210) and configured to emit light through the inner housing portion (213). A first sensor (261) is disposed in the housing (210) and configured to receive light passing through the user's finger; A second sensor (263) is disposed in the housing (210) and configured to receive light reflected by the user's finger; At least one processor (220), including processing circuitry; and A memory (230) stores instructions, wherein the instructions, when executed individually or jointly by the at least one processor (220), cause the wearable electronic device (200) to: Control the light emitter (250) to emit the first light; Receive a first signal via the first sensor (261); Control the light emitter (250) to emit a second light; The second signal is received via the second processor (263); Biometric information is generated based at least in part on the recognition that the difference between the first signal and the second signal is less than or equal to a threshold; and The biometric information is generated by calibrating the second signal with a calibration value corresponding to the difference, based at least in part on the recognition that the difference between the first signal and the second signal is greater than the threshold.

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