KR20230060430A - Wearable electronic device and operating method of wearable electronic device - Google Patents

Abstract

According to an embodiment, a wearable electronic device comprises: one or more first thermistors disposed at different heating positions of the wearable electronic device to detect temperature changes in the internal elements of the wearable electronic device; and a temperature sensor calculating the body temperature of a user based on the temperature changes in the internal elements and the skin temperature trend of the user. In addition, the wearable electronic devices comprises a processor which determines, according to the measured values of the one or more first thermistors, whether an internal temperature due to the internal elements in the wearable electronic device is within a reference temperature range that does not affect the calculation of the body temperature of the user, determines, according to the measured value of a second thermistor, the condition index of the user indicating whether the user is in a state capable of measuring body temperature when the internal temperature is determined to be within the reference temperature range, and measures, based on the condition index of the user, the body temperature of the user after adjusting a body temperature measurement cycle. Therefore, the body temperature of the user can be accurately measured.

Description

Wearable electronic device and operation method of wearable electronic device {WEARABLE ELECTRONIC DEVICE AND OPERATING METHOD OF WEARABLE ELECTRONIC DEVICE}

The disclosure below relates to a wearable electronic device and a method of operating the wearable electronic device.

A wearable electronic device may mean, for example, an electronic device that is used in close contact with a user's body beyond a device that is carried, such as a smart phone or a laptop computer. The wearable electronic device may take the form of, for example, glasses, a watch, or a head mounted display (HMD), and may perform various functions independently or in conjunction with a smart phone. Unlike smartphones or laptops, which must be taken out and checked all the time, wearable electronic devices allow users to more conveniently perform health management, exercise functions, and schedule management, from checking simple text messages or mails to checking heart rate and calculating exercise amount. .

Commercial thermometer devices do not support continuous measurement, and a device equipped with an IR (infrared) non-contact type body temperature sensor capable of securing the level of accuracy of a medical device may not have a continuous measurement function. In addition, in the case of a device equipped with a function of estimating body temperature with a contact temperature sensor, although it supports continuous measurement, the accuracy is low, it takes a long time to measure changes in body temperature, and the measurement cycle is constant, so the user's It is virtually impossible to check the fever situation in real time.

According to embodiments, it is intended to provide a method and apparatus capable of automatically and continuously measuring a user's body temperature and accurately measuring a user's body temperature.

According to an embodiment, the wearable electronic device includes at least one first thermistor disposed at different heat generating positions of the wearable electronic device to sense a temperature change of internal elements of the wearable electronic device; The internal temperature of the user's internal elements in the wearable electronic device is measured by the measured values of the temperature sensor and the at least one first thermistor that calculates the user's body temperature based on the temperature change and the user's skin temperature trend. determining whether the temperature is within a reference temperature range that does not affect body temperature calculation, and determining whether the internal temperature is within the reference temperature range, determining a user's condition index indicating whether the user is in a state in which body temperature measurement is possible, A processor may be configured to measure the body temperature of the user by adjusting a body temperature measurement cycle based on the state index of the body temperature.

According to an embodiment, a method of operating a wearable electronic device includes an operation of determining whether the wearable electronic device is worn or not, and an internal temperature by internal elements of the wearable electronic device based on whether the wearable electronic device is worn or not is determined by a user. An operation of determining whether the internal temperature is within the reference temperature range that does not affect the measurement of the user's body temperature, and an operation of determining a condition index of the user indicating whether or not the user's body temperature measurement is possible when it is determined that the internal temperature is within the reference temperature range. , and measuring the body temperature of the user by adjusting a body temperature measurement cycle based on the condition index of the user.

A wearable electronic device according to an embodiment may automatically and continuously measure a user's body temperature using an IR non-contact body temperature sensor.

According to an embodiment, the wearable electronic device detects temperature changes of internal elements and, when the internal temperature affects the calculation of the user's body temperature, measures the internal temperature again after a certain period of time. Temperature effects can be reduced.

According to an embodiment, the wearable electronic device determines a user's condition index indicating whether the user is in a state in which body temperature measurement is possible, and measures the body temperature when the user is in a state in which body temperature measurement is possible based on the user's condition index. The accuracy of body temperature measurement can be improved.

According to an embodiment, the wearable electronic device adjusts the body temperature measurement period according to the user's condition index, so that when the user is in a 'stable' state, the body temperature measurement period is increased to reduce the current consumed for body temperature measurement, and the user is in an 'unstable' state. ' state, the accuracy of body temperature measurement can be improved by reducing the body temperature measurement cycle.

According to an embodiment, the wearable electronic device may enable immediate action by quickly measuring an exact time point of fever and a body temperature at the time in response to a user's irregularly occurring fever situation.

1 is a block diagram of an electronic device in a network environment according to various embodiments.
2 is a perspective view of an electronic device according to an exemplary embodiment.
3 is an exploded perspective view of an electronic device according to an exemplary embodiment.
4 is a block diagram of a wearable electronic device according to an exemplary embodiment.
5 is a diagram for explaining a measurement method of a temperature sensor according to an exemplary embodiment.
6 is a configuration diagram of a wearable electronic device according to an exemplary embodiment.
7 is a flowchart illustrating a method of operating a wearable electronic device according to an exemplary embodiment.
8 is a flowchart illustrating a method of determining whether an internal temperature of a wearable electronic device is within a reference temperature range according to an embodiment.
9 is a flowchart illustrating a method of determining a user's status index according to an embodiment.
10 is a diagram for explaining a method of estimating a skin temperature trend according to an exemplary embodiment.
11 is a diagram for explaining a method of controlling a body temperature measurement cycle based on a condition index of a user according to an embodiment.
12 is a flowchart illustrating a method of operating a wearable electronic device according to another embodiment.
13 is a diagram for explaining a method of correcting a user's body temperature according to an exemplary embodiment.
14 is a diagram illustrating an example of displaying a body temperature measurement value by a wearable electronic device according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. In the description with reference to the accompanying drawings, the same reference numerals are given to the same components regardless of reference numerals, and overlapping descriptions thereof will be omitted.

1 is a block diagram of an electronic device 101 within a network environment 100, according to various embodiments. Referring to FIG. 1 , in a network environment 100, an electronic device 101 communicates with an electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or through a second network 199. It may communicate with at least one of the electronic device 104 or the server 108 through (eg, a long-distance wireless communication network). According to one embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 . According to an embodiment, the electronic device 101 includes a processor 120, a memory 130, an input module 150, an audio output module 155, a display module 160, an audio module 170, a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or the antenna module 197 may be included. In some embodiments, in the electronic device 101, at least one of these components (eg, the connection terminal 178) may be omitted or one or more other components may be added. In some embodiments, some of these components (eg, sensor module 176, camera module 180, or antenna module 197) are integrated into a single component (eg, display module 160). It can be.

The processor 120, for example, executes software (eg, the program 140) to cause at least one other component (eg, hardware or software component) of the electronic device 101 connected to the processor 120. It can control and perform various data processing or calculations. According to one embodiment, as at least part of data processing or operation, the processor 120 transfers instructions or data received from other components (e.g., sensor module 176 or communication module 190) to volatile memory 132. , processing commands or data stored in the volatile memory 132 , and storing resultant data in the non-volatile memory 134 . According to one embodiment, the processor 120 may include a main processor 121 (eg, a central processing unit or an application processor) or a secondary processor 123 (eg, a graphic processing unit, a neural network processing unit ( NPU: neural processing unit (NPU), image signal processor, sensor hub processor, or communication processor). For example, when the electronic device 101 includes the main processor 121 and the auxiliary processor 123, the auxiliary processor 123 may use less power than the main processor 121 or be set to be specialized for a designated function. can The secondary processor 123 may be implemented separately from or as part of the main processor 121 .

The secondary processor 123 may, for example, take the place of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or the main processor 121 is active (eg, running an application). ) state, together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display module 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states. According to one embodiment, the auxiliary processor 123 (eg, image signal processor or communication processor) may be implemented as part of other functionally related components (eg, camera module 180 or communication module 190). there is. According to an embodiment, the auxiliary processor 123 (eg, a neural network processing device) may include a hardware structure specialized for processing an artificial intelligence model. AI models can be created through machine learning. Such learning may be performed, for example, in the electronic device 101 itself where the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 108). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning or reinforcement learning, but in the above example Not limited. The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the foregoing, but is not limited to the foregoing examples. The artificial intelligence model may include, in addition or alternatively, software structures in addition to hardware structures.

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

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

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

The sound output module 155 may 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 multimedia playback or recording playback. A receiver may be used to receive an incoming call. According to one embodiment, the receiver may be implemented separately from the speaker or as part of it.

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

The audio module 170 may convert sound into an electrical signal or vice versa. According to one embodiment, the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device connected directly or wirelessly to the electronic device 101 (eg: Sound may be output through the electronic device 102 (eg, a speaker or a headphone).

The sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the detected state. can do. According to one embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a bio sensor, It may include a temperature sensor, humidity sensor, or light sensor.

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

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

The haptic module 179 may convert electrical signals into mechanical stimuli (eg, vibration or motion) or electrical stimuli that a user may perceive through tactile or kinesthetic senses. According to one embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

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

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

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

The communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). Establishment and communication through the established communication channel may be supported. The communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 190 is a wireless communication module 192 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg, : a local area network (LAN) communication module or a power line communication module). Among these communication modules, a corresponding communication module is a first network 198 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a telecommunications network such as a computer network (eg, a LAN or a WAN). These various types of communication modules may be integrated as one component (eg, a single chip) or implemented as a plurality of separate components (eg, multiple chips). The wireless communication module 192 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199. The electronic device 101 may be identified or authenticated.

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

The antenna module 197 may transmit or receive signals or power to the outside (eg, an external electronic device). According to one embodiment, the antenna module 197 may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (eg, PCB). According to one embodiment, the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network such as the first network 198 or the second network 199 is selected from the plurality of antennas by the communication module 190, for example. can be chosen A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module 197 in addition to the radiator.

According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module includes a printed circuit board, an RFIC disposed on or adjacent to a first surface (eg, a lower surface) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, array antennas) disposed on or adjacent to a second surface (eg, a top surface or a side surface) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.

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

According to an embodiment, commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199 . Each of the external electronic devices 102 or 104 may be the same as or different from the electronic device 101 . According to an embodiment, all or part of operations executed in the electronic device 101 may be executed in one or more external electronic devices among the external electronic devices 102 , 104 , or 108 . For example, when the electronic device 101 needs to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device 101 instead of executing the function or service by itself. Alternatively or additionally, one or more external electronic devices may be requested to perform the function or at least part of the service. One or more external electronic devices receiving the request may execute at least a part of the requested function or service or an additional function or service related to the request, and deliver the execution result to the electronic device 101 . The electronic device 101 may provide the result as at least part of a response to the request as it is or additionally processed. To this end, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the 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 one embodiment, the external electronic device 104 or server 108 may be included in the second network 199 . The electronic device 101 may be applied to intelligent services (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

2 is a perspective view of an electronic device according to an exemplary embodiment. Referring to FIGS. 2A and 2B , an electronic device 200 (eg, the electronic device 101 of FIG. 1 ) according to an embodiment has a first side (or front side) 210A and a second side (or back side). 210B, and a housing 210 including a side surface 210C surrounding a space between the first surface 210A and the second surface 210B, and connected to at least a part of the housing 210, and the electronic The apparatus 200 may include attachment members 250 and 260 configured to detachably attach the device 200 to a part of the user's body (eg, a wrist or an ankle). In another embodiment (not shown), the housing may refer to a structure that forms part of the first face 210A, the second face 210B, and the side face 210C of FIG. 2A . According to one embodiment, the first surface 210A may be formed by a front plate 201 (eg, a glass plate or a polymer plate including various coating layers) that is substantially transparent at least in part. The second face 210B may be formed by the substantially opaque back plate 207 . The rear plate 207 is formed, for example, of coated or tinted glass, ceramic, polymer, metal (eg, aluminum, stainless steel (STS), or magnesium), or a combination of at least two of the foregoing. It can be. The side surface 210C may be formed by a side bezel structure (or "side member") 206 coupled to the front plate 201 and the rear plate 207 and including metal and/or polymer. In some embodiments, the back plate 207 and the side bezel structure 206 may be integrally formed and include the same material (eg, a metal material such as aluminum). The binding members 250 and 260 may be formed of various materials and shapes. Integral and plurality of unit links may be formed to flow with each other by woven material, leather, rubber, urethane, metal, ceramic, or a combination of at least two of the above materials.

According to an embodiment, the electronic device 200 includes a display 220 (see FIG. 3), audio modules 205 and 208, sensor modules 211, key input devices 202, 203 and 204, and connector holes ( 209) may include at least one or more. In some embodiments, the electronic device 200 omits at least one of the components (eg, the key input devices 202, 203, 204, the connector hole 209, or the sensor module 211) or has other components. Additional elements may be included.

The display 220 may be exposed through a substantial portion of the front plate 201 , for example. The shape of the display 220 may be a shape corresponding to the shape of the front plate 201, and may have various shapes such as a circular shape, an elliptical shape, or a polygonal shape. The display 220 may be coupled to or disposed adjacent to a touch sensing circuit, a pressure sensor capable of measuring the intensity (pressure) of a touch, and/or a fingerprint sensor.

The audio modules 205 and 208 may include a microphone hole 205 and a speaker hole 208 . A microphone for acquiring external sound may be disposed inside the microphone hole 205, and in some embodiments, a plurality of microphones may be disposed to detect the direction of sound. The speaker hole 208 can be used as an external speaker and a receiver for a call. In some embodiments, the speaker hole 208 and the microphone hole 205 may be implemented as one hole, or a speaker may be included without the speaker hole 208 (eg, a piezo speaker).

The sensor module 211 may generate an electrical signal or data value corresponding to an internal operating state of the electronic device 200 or an external environmental state. The sensor module 211 may include, for example, a biometric sensor module 211 (eg, an HRM sensor) disposed on the second surface 210B of the housing 210 . The electronic device 200 includes a sensor module (not shown), for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a color sensor, an IR (infrared) sensor, a bio sensor, a temperature sensor, At least one of a humidity sensor and an illuminance sensor may be further included.

The sensor module 211 may include electrode regions 213 and 214 forming a part of the surface of the electronic device 200 and a biosignal detection circuit (not shown) electrically connected to the electrode regions 213 and 214. there is. For example, the electrode regions 213 and 214 may include a first electrode region 213 and a second electrode region 214 disposed on the second surface 210B of the housing 210 . The sensor module 211 may be configured such that the electrode areas 213 and 214 obtain an electrical signal from a part of the user's body, and the biosignal detection circuit detects the user's biometric information based on the electrical signal.

The key input devices 202, 203, and 204 include a wheel key 202 disposed on a first surface 210A of the housing 210 and rotatable in at least one direction, and/or a side surface 210C of the housing 210. ) may include side key buttons 203 and 204 disposed on. The wheel key may have a shape corresponding to the shape of the front plate 202 . In another embodiment, the electronic device 200 may not include some or all of the above-mentioned key input devices 202, 203, and 204, and the key input devices 202, 203, and 204 that are not included may display 220 may be implemented in other forms such as soft keys. The connector hole 209 may accommodate a connector (eg, a USB connector) for transmitting and receiving power and/or data to and from an external electronic device and a connector for transmitting and receiving an audio signal to and from an external electronic device. Other connector holes (not shown) may be included. The electronic device 200 may further include, for example, a connector cover (not shown) that covers at least a portion of the connector hole 209 and blocks external foreign substances from entering the connector hole.

The binding members 250 and 260 may be detachably attached to at least a partial region of the housing 210 using the locking members 251 and 261 . The fastening members 250 and 260 may include one or more of a fixing member 252 , a fixing member fastening hole 253 , a band guide member 254 , and a band fixing ring 255 .

The fixing member 252 may be configured to fix the housing 210 and the fastening members 250 and 260 to a part of the user's body (eg, wrist, ankle, etc.). The fixing member fastening hole 253 corresponds to the fixing member 252 to fix the housing 210 and the fastening members 250 and 260 to a part of the user's body. The band guide member 254 is configured to limit the movement range of the fixing member 252 when the fixing member 252 is fastened to the fixing member fastening hole 253, so that the fastening members 250 and 260 are attached to a part of the user's body. It can be tightly bonded. The band fixing ring 255 may limit the movement range of the fastening members 250 and 260 in a state in which the fixing member 252 and the fixing member fastening hole 253 are fastened.

3 is an exploded perspective view of an electronic device according to an exemplary embodiment. Referring to FIG. 3 , an electronic device 300 (eg, the electronic device 101 of FIG. 1 or the electronic device 200 of FIG. 2 ) includes a side bezel structure 310, a wheel key 320, and a front plate 201 ), display 220, first antenna 350, second antenna 355, support member 360 (eg bracket), battery 370, printed circuit board 380, sealing member 390, A rear plate 393 and coupling members 395 and 397 may be included. At least one of the components of the electronic device 300 may be the same as or similar to at least one of the components of the electronic device 200 of FIG. 1 or 2 , and overlapping descriptions will be omitted below.

The support member 360 may be disposed inside the electronic device 300 and connected to the side bezel structure 310 or integrally formed with the side bezel structure 310 . The support member 360 may be formed of, for example, a metal material and/or a non-metal (eg, polymer) material. The support member 360 may have the display 220 coupled to one surface and the printed circuit board 380 coupled to the other surface.

A processor, memory, and/or interface may be mounted on the printed circuit board 380 . The processor may include, for example, one or more of a central processing unit, an application processor, a graphic processing unit (GPU), a sensor processor, or a communication processor. Memory may include, for example, volatile memory or non-volatile memory. The interface may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface), an SD card interface, and/or an audio interface. The interface may electrically or physically connect the electronic device 300 to an external electronic device, and may include a USB connector, an SD card/MMC connector, or an audio connector.

The battery 370 is a device for supplying power to at least one component of the electronic device 300, and may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell. there is. At least a portion of the battery 370 may be disposed on substantially the same plane as the printed circuit board 380 , for example. The battery 370 may be integrally disposed inside the electronic device 200 or may be disposed detachably from the electronic device 200 .

The first antenna 350 may be disposed between the display 220 and the support member 360 . The first antenna 350 may include, for example, a near field communication (NFC) antenna, a wireless charging antenna, and/or a magnetic secure transmission (MST) antenna. The first antenna 350 may, for example, perform short-range communication with an external device, wirelessly transmit/receive power required for charging, and transmit a short-range communication signal or a magnetic-based signal including payment data. . In another embodiment, an antenna structure may be formed by a part of the side bezel structure 310 and/or the support member 360 or a combination thereof.

The second antenna 355 may be disposed between the printed circuit board 380 and the rear plate 393 . The second antenna 355 may include, for example, a near field communication (NFC) antenna, a wireless charging antenna, and/or a magnetic secure transmission (MST) antenna. The second antenna 355 may, for example, perform short-range communication with an external device, wirelessly transmit/receive power required for charging, and transmit a short-range communication signal or a magnetic-based signal including payment data. . In another embodiment, an antenna structure may be formed by a part of the side bezel structure 310 and/or the rear plate 393 or a combination thereof.

The sealing member 390 may be positioned between the side bezel structure 310 and the rear plate 393 . The sealing member 390 may be configured to block moisture and foreign substances from entering into the space surrounded by the side bezel structure 310 and the back plate 393 from the outside.

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

Various embodiments of this document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, like reference numbers may be used for like or related elements. The singular form of a noun corresponding to an item may include one item or a plurality of items, unless the relevant context clearly dictates otherwise. In this document, "A or B", "at least one of A and B", "at least one of A or B", "A, B or C", "at least one of A, B and C", and "A Each of the phrases such as "at least one of , B, or C" may include any one of the items listed together in that phrase, or all possible combinations thereof. Terms such as "first", "second", or "first" or "secondary" may simply be used to distinguish that component from other corresponding components, and may refer to that component in other respects (eg, importance or order) is not limited. A (eg, first) component is said to be "coupled" or "connected" to another (eg, second) component, with or without the terms "functionally" or "communicatively." When mentioned, it means that the certain component may be connected to the other component directly (eg by wire), wirelessly, or through a third component.

The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as, for example, logic, logical blocks, parts, or circuits. can be used as A module may be an integrally constructed component or a minimal unit of components or a portion thereof that performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of this document are stored in a storage medium (eg, internal memory 136 or external memory 138) readable by a machine (eg, electronic device 101 of FIG. 1 ). It may be implemented as software (eg, program 140) comprising one or more instructions. For example, a processor (eg, the processor 120 ) of a device (eg, the electronic device 101 ) may call at least one command among one or more instructions stored from a storage medium and execute it. This enables the device to be operated to perform at least one function according to the at least one command invoked. The one or more instructions may include code generated by a compiler or code executable by an interpreter. A storage medium readable by a device may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' only means that the storage medium is a tangible device and does not contain a signal (e.g. electromagnetic wave), and this term refers to the case where data is stored semi-permanently in the storage medium. It does not discriminate when it is temporarily stored.

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

According to various embodiments, each component (eg, module or program) of the above-described components may include a single object or a plurality of entities, and some of the plurality of entities may be separately disposed in other components. there is. According to various embodiments, one or more components or operations among the aforementioned corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by a corresponding component of the plurality of components prior to the integration. . According to various embodiments, the actions performed by a module, program, or other component are executed sequentially, in parallel, iteratively, or heuristically, or one or more of the actions are executed in a different order, or omitted. or one or more other actions may be added.

4 is a block diagram of a wearable electronic device according to an exemplary embodiment. Referring to FIG. 4 , a wearable electronic device 400 (eg, the electronic device 101 of FIG. 1 , the electronic device 104 of FIG. 1 , the electronic device 200 of FIG. 2 , or the electronic device of FIG. 3 ) according to an embodiment 300) includes at least one first thermistor 410, a second thermistor 420, a temperature sensor 430, a processor 440 (eg, the processor 120 of FIG. 1), a memory 450 ) (eg, the memory 130 of FIG. 1 ), and a communication interface 460 (eg, the communication module 190 of FIG. 1 ). In addition, the wearable electronic device 400 may further include a motion sensor 470 , a photoplethysmography (PPG) sensor 480 , and a touch sensor 490 . At least one of the first thermistor 410, the second thermistor 420, the temperature sensor 430, the motion sensor 470, the pulse wave sensor 480, and the contact sensor 490 are shown in FIG. It may be included in the sensor module 176 of FIG. 1 or may be included in the sensor module 211 of FIG. 2 .

A thermistor is a semiconductor made of various metal oxides, and unlike general metals, it may exhibit a property of decreasing resistance as the temperature increases. In one embodiment, the temperature can be measured by converting a thermal signal into an electrical signal through the property of a thermistor in which resistance decreases as the temperature increases. The thermistor (eg, at least one first thermistor 410 and/or the second thermistor 420) according to an embodiment is for measuring the temperature of a component in the wearable electronic device 400 rather than for measuring the body temperature. It may be a sensor used to measure The thermistors 410 and 420 have a wider temperature measurement range than the temperature sensor 430 that measures the temperature of a living body, but accuracy and resolution may be lower.

At least one first thermistor 410 is disposed close to locations of different heat sources (eg, electronic parts or electronic elements) of the wearable electronic device 400 to prevent temperature changes of internal elements of the wearable electronic device 400. can detect Internal elements may include, for example, an application processor (AP) (eg, the processor 120 of FIG. 1 and the application processor 605 of FIG. 6 ), a battery (BATTERY) (eg, the battery 189 of FIG. 1 , FIG. 6 ). of the battery 602) and a communication processor (CP) (eg, the communication processor 604 of FIG. 6), and may further include various other elements that generate heat. Different heating locations may be locations adjacent to the battery 602 , the communication processor 604 , and the application processor 605 .

The application processor 605 may generate heat according to execution of an application operation, such as, for example, graphic calculation or processing according to application execution. The battery 602 may generate heat during, for example, wired or wireless charging. The communication processor 604 may generate heat when amplifying a signal for wireless communication, for example. At least one first thermistor 410 may be disposed near a heat source inside the wearable electronic device 400, such as the battery 602, the communication processor 604, and the application processor 605.

At least one first thermistor 410 may be used to prevent damage to components or prevent a user from getting burned by directly sensing a temperature increase of internal elements of the wearable electronic device 400 . The wearable electronic device 400 estimates the internal temperature of the wearable electronic device 400 through the temperature rise of the heat source sensed by the at least one first thermistor 410 and/or controls the body temperature sensing operation. can do.

The at least one first thermistor 410 may be, for example, a single thermistor or a plurality of thermistors. Alternatively, the at least one first thermistor 410 may be a combination of thermistors disposed at different locations inside the wearable electronic device 400 .

At least one first thermistor 410 may continuously monitor temperature rises of internal elements independently of driving of the temperature sensor 430 . A monitoring result of the at least one first thermistor 410 may trigger the temperature sensor 430 to calculate the user's body temperature.

The second thermistor 420 may estimate the user's skin temperature trend from the outside of the wearable electronic device 400 . The 'skin temperature trend' may correspond to a skin temperature standardized as a body temperature value. Since the second thermistor 420 is disposed on the outside of the wearable electronic device 400 and always driven, the processor 440 preliminarily detects the body temperature before the temperature sensor 430 detects the body temperature. 420) can be driven.

For example, when the wearable electronic device 400 is a watch type, the second thermistor 420 is disposed on a portion in contact with the user's skin, that is, on a glass surface below the watch, to detect the external temperature of the wearable electronic device 400, for example For example, a user's skin temperature trend can be estimated. In this case, the skin temperature trend estimated by the second thermistor 420 may correspond to rough information. The processor 440 determines, for example, that it is difficult to measure the body temperature due to internal heat detected by the at least one first thermistor 410 or the second thermistor 420 outside the wearable electronic device 400. It is possible to determine in advance a case where the temperature sensed by the temperature sensor 430 is not within an easy temperature range (eg, about 30 to 45 degrees) because it is too cold or too hot. The processor 440 triggers the temperature sensor 430 to measure the body temperature value according to the result determined by the temperature sensed by the at least one first thermistor 410 and/or the second thermistor 420. can

The second thermistor 420 may be called a 'surface thermistor' in that it estimates the temperature trend of the user's skin surface.

The second thermistor 420 may be used to estimate the temperature of the pulse wave (PPG) sensor 480 that actually measures biometric information. Since the pulse wave sensor 480 is disposed outside the wearable electronic device 400 adjacent to the body and the second thermistor 420 is also disposed outside the wearable electronic device 400 adjacent to the skin, the second thermistor 420 ) is disposed outside unlike the at least one first thermistor 410 to measure the effect of the user's skin temperature.

Unlike at least one first thermistor 410 disposed near internal elements of the wearable electronic device 400, the second thermistor 420 may estimate an external temperature. The second thermistor 420 comes into contact with the skin and can be used to estimate skin temperature, that is, a skin temperature trend. The skin temperature is also a type of body temperature, but unlike body temperature that detects general heat, the skin temperature may correspond to a temperature corresponding to a part to which the sensor is contacted. As such, skin temperature may differ from body temperature, which detects, for example, whether a person has a fever due to an illness. The body temperature may be directly measured by placing a sensor on a body part where the body temperature can be estimated, such as the forehead, mouth, or armpit, or may be indirectly estimated through skin temperature.

The arrangement position of at least one first thermistor 410 and the arrangement position of the second thermistor 420 in the wearable electronic device 400 will be described in more detail with reference to FIG. 6 below.

The temperature sensor 430 is a sensor used to measure a body temperature, and may measure, for example, a body temperature of a part in contact with the temperature sensor 430 . The temperature sensor 430 may be, for example, an IR type non-contact temperature sensor, but is not necessarily limited thereto.

The body temperature sensor may measure a designated area such as the armpit, mouth, ear, and/or forehead in a certified manner according to rules prescribed by the medical community, and provide a unified body temperature standard based on the measurement. Unlike this, the temperature sensor 430 may not represent the body temperature measured by the medical device because it measures the temperature of a distal part of the body, such as the skin of the wrist. Therefore, in one embodiment, the processor 440 compares the skin temperature value measured on the wrist through various clinical tests with the existing body temperature sensor measured based on a specific part, estimates the body temperature, and outputs the value.

The temperature sensor 430 is not frequently driven because it consumes relatively large current as accurately as it is accurate. However, since the thermistors 410 and 420 are always driven, trend tracking may be facilitated.

According to embodiments, the temperature sensor 430 and the processor 440 may be configured as one temperature sensing module.

A method of calculating the body temperature by the temperature sensor 430 will be described in more detail with reference to FIG. 5 below.

The processor 440 determines the reference temperature range (eg, about approx. 16 ~ 40 ℃) can be determined whether or not.

The touch sensor 490 may detect whether or not a user has touched. In one embodiment, the contact sensor 490 may mean at least one of a proximity sensor, a touch (grip) sensor, and an air pressure sensor. In one embodiment, the proximity sensor may detect whether or not an external object (eg, the user) is worn using an optical method, an RF method, or a sound wave method. For example, in the case of a proximity sensor using an optical method, a plurality of sensors may be disposed according to the position in which they are disposed.

When it is determined by the contact sensor 490 that the user is wearing the wearable electronic device 400, the processor 440 determines whether the internal temperature is within the reference temperature range based on the measured value of the at least one first thermistor 410. can decide whether The wearable electronic device 400 may check the heat generation level of at least one first thermistor 410 and may check the cause of heat generation according to a specific event in each of the at least one first thermistor 410 .

The wearable electronic device 400 calculates a representative value K therm of temperatures of internal elements based on the measured value of the at least one first thermistor 410, and determines whether the representative value K therm is within a reference temperature range. can decide For example, at least one first thermistor 410 may include a heating temperature (AP Therm) of the application processor (AP), a heating temperature (Batt Therm) of the battery (BATTERY), and a heating temperature (CP) of the communication processor (CP). Therm), the wearable electronic device 400 may calculate a representative value (K therm) of internal temperatures as, for example, k * (AP Therm + Batt Therm + CP Therm)/3. Here, k may correspond to a temperature compensation coefficient inside the wearable electronic device 400 .

According to an embodiment, the wearable electronic device 400 may calculate the representative value K therm by assigning different weights to each measurement value of at least one first thermistor 410 . For example, the wearable electronic device 400 assigns a weight of 0.4 to the heating temperature (AP Therm) of the application processor (AP) and the heating temperature (Batt Therm) of the battery (BATTERY), respectively, and The representative value K therm of internal temperatures may be calculated by assigning a weight of 0.2 to the heating temperature CP Therm. Weights corresponding to each internal element may be changed by, for example, a surrounding environment, a user's setting, or an application's setting, but are not necessarily limited thereto.

The wearable electronic device 400 determines the heat generation state according to the heat generation level of the internal elements, and the time required for the internal elements to decrease to a stable temperature (eg, about 16 to 40 ° C) for each temperature of the internal elements ('recheck time') can be set.

For example, if the representative value is out of the reference temperature range, the processor 440 may re-measure the at least one first thermistor 410 after a re-checking time required for temperature reduction for each internal element temperature has elapsed. . The processor 440 may determine whether the re-measured value of the first thermistor is within a reference temperature range. A method for the processor 440 to determine whether the internal temperature of the wearable electronic device 400 is within the reference temperature range will be described in more detail with reference to FIG. 8 below.

When it is determined that the internal temperature is within the reference temperature range, the processor 440 may determine the user's condition index indicating whether the user's body temperature can be measured based on the measured value of the second thermistor 420 . Detection results of the motion sensor 470 and the pulse wave sensor 480 may be further used to determine the user's condition index.

The motion sensor 470 may detect a user's movement. The motion sensor 470 may include, for example, an acceleration sensor, a gyro sensor, and/or a proximity sensor, but is not necessarily limited thereto. An acceleration sensor may measure the acceleration of a moving object or the strength of an impact. For example, the acceleration sensor may measure the moving speed of (X, Y, Z) coordinates corresponding to the user's location. The gyro sensor may measure a direction change of an object, that is, an angular velocity, by using a property that a gyroscope always maintains an originally set direction regardless of the rotation of the earth. Proximity sensors can detect the presence of nearby objects without physical contact. Proximity sensors emit electromagnetic fields or electromagnetic waves (e.g., infrared rays), and by looking for the electric field and the return signal, the location of an object when it comes close to the sensor can be detected. A proximity sensor may also be called a 'position sensor' or a 'displacement sensor' in that it detects a position.

The pulse wave sensor 480 may detect the user's heart rate variance. A pulse wave recognizes, as a waveform, a change in volume of a blood vessel that occurs as the heart circulates blood, and a detector for monitoring the change in volume may be referred to as a pulse wave sensor 480 . When the heart rate is measured using the pulse wave sensor 480, for example, a photoelectric pulse wave method may be used. A pulse wave sensor used in the photoelectric pulse wave method may be of a transmissive type and a reflective type depending on a measurement method. Transmissive pulse wave sensors can measure pulse waves by radiating infrared and red light from the surface of the human body and measuring the change in blood flow according to the pulsation of the heart as the change in light passing through the body. The transmissive pulse wave sensor can be used for a portion through which light is easily transmitted, such as a fingertip or an ear lobe. The reflective pulse wave sensor may irradiate, for example, infrared light, red light, or light of a green wavelength around 550 nm to a living body, and measure light reflected from inside the living body using a photodiode or phototransistor. Oxidized hemoglobin exists in arterial blood and has the property of absorbing incident light. Therefore, the reflective pulse wave sensor measures the pulse wave signal by sensing the blood flow (volume change of blood vessels) that changes according to the heart pulsation in a time series. can In addition, since the reflective pulse wave sensor measures reflected light, unlike the transmissive pulse wave sensor, the pulse wave can be measured without limiting the measurement part.

When it is determined that the internal temperature is within the reference temperature range, the processor 440 may estimate a skin temperature trend of the user wearing the wearable electronic device 400 using the measurement value of the second thermistor 420 . A method of estimating the skin temperature trend by the processor 440 will be described in detail with reference to FIG. 10 below.

The processor 440 uses at least one of the user's movement detected by the motion sensor 470, the user's heart rate variance detected by the pulse wave sensor 480, and the user's skin temperature trend estimated by the second thermistor 420 based on , it is possible to determine the state index of the user. A method of determining the state index of the user by the processor 440 will be described in more detail with reference to FIG. 9 below.

The processor 440 may measure the user's body temperature by adjusting a body temperature measurement cycle based on the user's condition index. For example, the processor 440 may decrease the body temperature measurement period as the user's condition index approaches an index indicating an unstable state, and increase the body temperature measurement period as the user's condition index approaches an index indicating a stable state. . A method of adjusting the body temperature measurement cycle by the processor 440 will be described in more detail with reference to FIG. 11 below.

Depending on the embodiment, the processor 440 may correct the user's body temperature acquired according to the body temperature measurement cycle using the temperature sensor 430 using the measured value of the second thermistor 420 . A method of correcting the user's body temperature by the processor 440 will be described in more detail with reference to FIG. 13 below.

The processor 440 may execute a program and control the wearable electronic device 400 . Program codes executed by the processor 440 may be stored in the memory 450 .

The memory 450 may store a signal or data received through the communication interface 460 and/or the user's body temperature calculated and/or corrected by the processor 440 .

The memory 450 may store various pieces of information generated in the process of the processor 440 described above. In addition, the memory 450 may store various data and programs. The memory 450 may include volatile memory or non-volatile memory. The memory 450 may include a mass storage medium such as a hard disk to store various types of data.

The communication interface 460 may output the user's body temperature calculated and/or corrected by the processor 440 to the outside of the wearable electronic device 400 . The communication interface 460 may receive a signal or other data detected from the outside of the wearable electronic device 400 .

In addition, the processor 440 may perform at least one method or a technique corresponding to at least one method described below with reference to FIGS. 5 to 14 below. The processor 440 may be a wearable electronic device implemented as hardware having a circuit having a physical structure for executing desired operations. For example, desired operations may include codes or instructions included in a program. For example, an image processing device implemented as hardware includes a microprocessor, a central processing unit (CPU), a graphic processing unit (GPU), a processor core, and a multi-core. It may include a multi-core processor, a multiprocessor, an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), and/or a neural processing unit (NPU).

5 is a diagram for explaining a measurement method of a temperature sensor according to an exemplary embodiment. Referring to FIG. 5 , a structure of a non-contact infrared (IR) temperature sensor 500 (eg, the temperature sensor 430 of FIG. 4 ) according to an embodiment is shown.

All objects have a temperature above absolute zero K (eg -273.15°C Celsius, -459.67°F Fahrenheit) and can emit electromagnetic waves of a wavelength corresponding to the temperature. For example, the higher the temperature, the shorter the wavelength of the radiated electromagnetic wave and the higher the amount of radiated energy.

The non-contact infrared (IR) temperature sensor 500 makes a contact with two different materials of the thermopile inside, and forms a thermocouple with an open structure on the other side, so that the contact part and the open The temperature may be sensed using the seebeck effect in which electromotive force is generated in proportion to the size of the temperature difference generated in the part. Although the overall structure of the non-contact infrared (IR) temperature sensor 500 is a closed structure, when measuring the electromotive force generated by the temperature difference between the two contact points, the two contact points may be open apart from each other.

The non-contact infrared (IR) temperature sensor 500 may estimate energy emitted from the user's skin based on the Stefan-Boltzmann formula as shown in Equation 1 below.

Here, j may represent irradiance (W/m ² ), and ε may represent emissivity (~0.9). σ(W/m ² K ⁴ ) may correspond to the Stefan-Boltzmann constant.

The Stefan-boltzmann formula is a law that gives the amount of energy emitted from a perfect radiator (emitter) as a function of absolute temperature. It is proportional to the fourth power of (T).

The non-contact infrared (IR) temperature sensor 500 is a wearable electronic device (eg, the electronic device 101 of FIG. 1 , Temperature change of internal elements of the electronic device 104, the electronic device 200 of FIG. 2, the electronic device 300 of FIG. 3, or the wearable electronic device 400 of FIG. 4 and the outside of the wearable electronic device 400 Based on the trend of the user's skin temperature estimated by the second thermistor (eg, the second thermistor 420 of FIG. 4 ), the user's body temperature may be calculated using the Stefan-boltzmann formula. .

6 is a configuration diagram of a wearable electronic device according to an exemplary embodiment. Referring to FIG. 6A , a wearable electronic device 600 (eg, the electronic device 101 of FIG. 1 , the electronic device 104 of FIG. 1 , the electronic device 200 of FIG. 2 , or the electronic device of FIG. 3 ) according to an embodiment (300), a plan view of the wearable electronic device 400 of FIG. 4 is shown, and referring to FIG. 6B, an enlarged cross-sectional view of the temperature sensor 650 according to an exemplary embodiment is shown. Also, referring to FIG. 6C , a side projection view of an arrangement structure of internal elements in a housing of a wearable electronic device 600 according to an exemplary embodiment is shown from the side.

The wearable electronic device 600 includes, for example, a battery 602 (eg, the battery 189 of FIG. 1 ), a speaker 603, a communication processor (CP) 604, An application processor (AP) 605 (eg, the processor 120 of FIG. 1 ), a back glass 610 in contact with the user's skin 601, a PPG module 620, a surface thermistor (surface thermistor) 625, main PCB 630, battery thermistor 631, communication processor thermistor 633, application processor thermistor 635, front display ( 640), and a temperature sensor 650 (eg, the temperature sensor 430 of FIG. 4 and the non-contact infrared (IR) temperature sensor 500 of FIG. 5).

A communication processor 604 and an application processor 605 may be disposed on the main PCB 630 . Battery thermistor 631, communication processor thermistor 633, and application thermistor 635 may be disposed on the main PCB 630, and surface thermistor 625 may be disposed on the PPG module 620. The battery thermistor 631, the communication processor thermistor 633, and the application thermistor 635 correspond to, for example, at least one first thermistor 410 of FIG. 4 described above, and the surface thermistor 625 is, for example, , may correspond to the second thermistor 420 of FIG. 4 described above.

The battery thermistor 631 may be disposed adjacent to a battery connector 632 connecting the battery 602 and the main PCB 630 to detect heat generated during charging of the battery 602 .

The communication processor thermistor 633 may be disposed adjacent to the communication processor 604 to detect heat generated when the communication processor 604 amplifies a signal for wireless communication.

The application thermistor 635 may be disposed adjacent to the application processor 605 to sense heat generated as the application processor 605 performs various application operations.

The application processor 605 uses the skin temperature of the measurement site detected by the surface thermistor 625 and the internal temperature of the sensor detected by the battery thermistor 631, the communication processor thermistor 633, and the application thermistor 635. Thus, the temperature can be calculated. The application processor 605 may correct the user's body temperature acquired through the temperature sensor 650 to a body temperature value within a normal body temperature range of a person by using a measurement value of the surface thermistor 625 .

In one embodiment, a case in which three first thermistors 631, 633, and 635 and one second thermistor 625 are used has been described as an example, but it is not necessarily limited thereto, and the number of the first thermistor and the second thermistor may be It may be variously changed according to the embodiment.

7 is a flowchart illustrating a method of operating a wearable electronic device according to an exemplary embodiment. In the following embodiments, each operation may be performed sequentially, but not necessarily sequentially. For example, the order of each operation may be changed, or at least two operations may be performed in parallel.

Referring to FIG. 7 , wearable electronic devices according to an embodiment (eg, electronic device 101 and electronic device 104 of FIG. 1 , electronic device 200 of FIG. 2 , electronic device 300 of FIG. 3 , The wearable electronic device 400 of FIG. 4 and/or the wearable electronic device 600 of FIG. 6 may measure the user's body temperature through operations 710 to 740 .

In operation 710, the wearable electronic device 400 may determine whether the wearable electronic device 400 is being worn, that is, whether or not the user is wearing the wearable electronic device 400. The wearable electronic device 400 may determine whether the user is wearing the wearable electronic device 400 by a contact sensor (eg, the contact sensor 490 of FIG. 4 ) or a proximity sensor that detects whether or not the user has been touched. . For example, if it is determined that the user is wearing the wearable electronic device 400, the wearable electronic device 400 may set the state variable W of the user to '1'. If it is determined that the user is not wearing the wearable electronic device 400, the wearable electronic device 400 may set the state variable W of the user to '0'.

In operation 720, the wearable electronic device 400 determines whether or not the wearable electronic device 400 is worn, determined in operation 710, so that the internal temperature of the internal elements of the wearable electronic device 400 affects the user's body temperature measurement. It is possible to determine whether it is within a standard temperature range (eg, about 16 to 40 ° C) that is not given. For example, when the user's state variable W is set to '1', the wearable electronic device 400 may measure an internal temperature by internal elements and determine whether the internal temperature is within a reference temperature range. . In contrast, when the user's state variable W is set to '0', the wearable electronic device 400 may not measure internal temperatures by internal elements.

The wearable electronic device 400 includes at least one first thermistor (eg, at least one first thermistor 410 of FIG. ), the battery thermistor 631 of FIG. 6 , the communication processor thermistor 633 , and the application thermistor 635), it is possible to determine whether the internal temperature of the internal elements is within the reference temperature range. Internal elements may include, for example, various heating elements such as an application processor (AP), a battery (BATTERY), and a communication processor (CP), but are not necessarily limited thereto.

The wearable electronic device 400 may check the heat generation level of at least one first thermistor 410 and may check the cause of heat generation according to a specific event in each of the at least one first thermistor 410 . The wearable electronic device 400 calculates a representative value K therm of temperatures of internal elements based on the measured value of the at least one first thermistor 410, and determines whether the representative value K therm is within a reference temperature range. can decide According to an embodiment, the wearable electronic device 400 may calculate the representative value K therm by assigning different weights to each measurement value of at least one first thermistor 410 .

For example, when the representative value is out of the reference temperature range, the wearable electronic device 400 remeasures at least one first thermistor 410 after a reconfirmation time required for temperature reduction for each temperature of internal elements has elapsed, , it is possible to determine whether the value of the remeasured first thermistor 410 is within the reference temperature range.

In operation 730, when it is determined that the internal temperature is within the reference temperature range, the wearable electronic device 400 may determine the user's condition index indicating whether the user's body temperature can be measured. If it is determined that the internal temperature is within the reference temperature range, the wearable electronic device 400 may use a second thermistor (eg, the second thermistor 420 of FIG. 4 , A skin temperature trend of a user wearing the wearable electronic device 400 may be estimated using the measured value of the surface thermistor 625 of FIG. 6 . The wearable electronic device 400 includes the user's movement detected by a motion sensor (eg, the motion sensor 470 of FIG. 4 ), the change in heart rate of the user detected by a pulse wave sensor (eg, the pulse wave sensor 480 of FIG. 4 ), and the like. The user's condition index may be determined based on at least one of the user's skin temperature trends estimated by the second thermistor 420 . A method of determining the user's state index by the wearable electronic device 400 will be described in more detail with reference to FIG. 9 below.

In operation 740, the wearable electronic device 400 may measure the user's body temperature by adjusting a body temperature measurement cycle based on the user's condition index.

The wearable electronic device 400 includes a temperature sensor (eg, the temperature sensor 430 of FIG. 4 , the non-contact infrared (IR) temperature of FIG. 5 ) that calculates the user's body temperature based on the temperature change of internal elements and the user's skin temperature trend The user's body temperature may be obtained according to a body temperature measurement cycle using the sensor 500 and the temperature sensor 650 of FIG. 6 . The wearable electronic device 400, for example, decreases the body temperature measurement period as the user's condition index approaches an index indicating an unstable state, and increases the body temperature measurement period as the user's condition index approaches an index indicating a stable state. can A method of adjusting the body temperature measurement cycle by the wearable electronic device 400 will be described in more detail with reference to FIG. 11 below.

According to an embodiment, the wearable electronic device 400 obtains the user's skin temperature trend from the outside of the wearable electronic device 400 according to the body temperature measurement period by using the measured value of the second thermistor 420 estimating the user's skin temperature trend. temperature can be corrected.

A method of correcting the user's body temperature by the wearable electronic device 400 will be described in more detail with reference to FIG. 13 below.

8 is a flowchart illustrating a method of determining whether an internal temperature of a wearable electronic device is within a reference temperature range according to an embodiment. In the following embodiments, each operation may be performed sequentially, but not necessarily sequentially. For example, the order of each operation may be changed, or at least two operations may be performed in parallel.

Referring to FIG. 8 , a wearable electronic device according to an embodiment (eg, the electronic device 101 of FIG. 1 , the electronic device 104 of FIG. 1 , the electronic device 200 of FIG. 2 , or the electronic device 300 of FIG. 3 ) The wearable electronic device 400 of FIG. 4 and the wearable electronic device 600 of FIG. 6 may determine whether the internal temperature of the wearable electronic device 400 is within the reference temperature range through operations 810 to 850.

In operation 810, the wearable electronic device 400 selects at least one first thermistor (eg, the at least one first thermistor 410 of FIG. 4 , the battery thermistor 631 of FIG. 6 , the communication processor thermistor 633, the application Based on the measured value of the thermistor 635 , internal elements affecting body temperature measurement in the wearable electronic device 400 may be identified.

In operation 820, the wearable electronic device 400 may determine whether temperatures of internal elements are within a reference temperature range (eg, about 16° C. to about 40° C.). The wearable electronic device 400 calculates, for example, a representative value K therm of temperatures of internal elements based on the measured value of at least one first thermistor 410, and determines whether the representative value is within a reference temperature range. can decide

In operation 820, when it is determined that the temperature of the internal elements is within the reference temperature range, in operation 830, the wearable electronic device 400 may determine that the measured value of the at least one first thermistor 410 is within the reference temperature range.

On the other hand, if it is determined in operation 820 that the temperature of the internal elements is out of the reference temperature range, in operation 840, the wearable electronic device 400 determines at least one temperature of each internal element after a re-checking time required for temperature reduction has elapsed. The first thermistor 410 of can be remeasured. When the temperatures of the internal elements are out of the reference temperature range, the wearable electronic device 400 checks the temperatures of the internal elements generating heat, sets a re-checking time, and remeasures the temperatures of the internal elements generating heat after the re-checking time has elapsed. can A method of setting the re-confirmation time by the wearable electronic device 400 is as follows.

The wearable electronic device 400 may check the heating part by checking the measured value of each of the at least one first thermistor 410 and optimize a re-measurement time to determine the heating state according to the heating level of the heating part.

The reconfirmation time required for temperature reduction for each temperature of the internal elements may be set, for example, as shown in [Table 1] below.

For example, when 40 ° C is the reference temperature, when the internal temperature of the internal elements exceeds 0 to 5 ° C at 40 ° C, it takes a relatively short time for the temperature of the internal elements to enter below 40 ° C (eg : 60 seconds (s)) may be required. In contrast, when the internal temperature exceeds 20 °C from 40 °C, it may take a long time (eg, 600 seconds (s)) for the internal element to lower to a stable temperature below 40 °C.

When the internal elements of the wearable electronic device 400 are in a heating state exceeding 40° C., the temperature is measured by at least one first thermistor 410 again at the time when the heating is removed, so that the body temperature can be measured, in other words. It is possible to check whether the internal temperature is in a state in which the user's body temperature measurement is not affected. To this end, the wearable electronic device 400 may adjust a re-checking time for re-measuring the temperature of the at least one first thermistor 410 for each temperature difference, as shown in Table 1, for example.

In operation 850, the wearable electronic device 400 may determine whether the value of the first thermistor 410 remeasured in operation 840 is within a reference temperature range. When it is determined that the re-measured value of the first thermistor 410 is within the reference temperature range in operation 850, the wearable electronic device 400 determines that the measured value of the at least one first thermistor 410 is within the reference temperature range in operation 830. can decide Alternatively, if it is determined that the value of the first thermistor 410 re-measured in operation 850 is out of the reference temperature range, the measured value of at least one first thermistor 410 may be re-measured in operation 840 .

9 is a flowchart illustrating a method of determining a user's status index according to an embodiment. In the following embodiments, each operation may be performed sequentially, but not necessarily sequentially. For example, the order of each operation may be changed, or at least two operations may be performed in parallel.

Referring to FIG. 9 , a wearable electronic device (eg, the electronic device 101 of FIG. 1 , the electronic device 104 of FIG. 1 , the electronic device 200 of FIG. 2 , or the electronic device 300 of FIG. 3 ) according to an embodiment , the wearable electronic device 400 of FIG. 4 and the wearable electronic device 600 of FIG. 6 may determine the state index of the user through operations 910 to 950.

The fundamental reason for measuring body temperature is to detect diseases such as colds, body aches, and infectious diseases. However, from the point of view of the wearable electronic device 400 that measures body temperature when exercising or when the weather is hot, a body temperature increased due to a surrounding environment such as weather and/or exercise may be mistaken for human fever. Therefore, the wearable electronic device 400 may enable more accurate body temperature measurement by separating the normal body temperature measurement from the body temperature increased due to the surrounding environment and/or exercise.

In operation 910, the wearable electronic device 400 wears the wearable electronic device 400 using the measured values of the second thermistor (eg, the second thermistor 420 of FIG. 4 and the surface thermistor 625 of FIG. 6 ). A skin temperature trend change (ΔSkin temperature trend) of one user may be estimated. A method of estimating the user's skin temperature trend by the wearable electronic device 400 will be described in more detail with reference to FIG. 10 below.

In operation 920, the wearable electronic device 400 detects the motion of the user by using a function of the degree of motion of the user (ΔACC) and a duration time digitized according to the size value of the motion sensor (eg, the motion sensor 470 of FIG. 4). It is possible to determine whether the first movement of For example, when it is determined that the user's movement degree (ΔACC) is '0' for 2 seconds or longer, the wearable electronic device 400 may determine that the user is not moving, that is, the user is not exercising. there is. In contrast, when it is determined that the user's motion degree (ΔACC) of '1' continues for 2 seconds or more, the wearable electronic device 400 may determine that there is a user's motion, that is, the user is exercising.

The wearable electronic device 400 may determine whether or not to move based on an index value (eg, '0' or '1') representing the degree of movement (ΔACC) of the user, but a motion sensor such as an acceleration sensor (eg, FIG. 4 The motion state of the user may be defined in various ways by using the output value of the motion sensor 470 of .

The wearable electronic device 400 may digitize the user's state according to the magnitude of the motion sensor 470 . The wearable electronic device 400 may determine the user's state as a 'sedentary state' without motion, even if the user's motion corresponds to a simple motion that cannot be regarded as motion. In contrast, the wearable electronic device 400 may determine the user's condition as an 'exercise state' such as performing a specific exercise, when the user's motion corresponds to a shock or repetitive pattern with a large motion. When it is determined that the user's state is an 'exercise state', the wearable electronic device 400 may limit the body temperature measurement or change the measured body temperature to It can be specified that it is the measured body temperature.

In operation 930, the wearable electronic device 400 determines a heart rate variance (ΔPPG) corresponding to a difference between the user's resting heart rate and the user's heart rate measured by the pulse wave sensor (eg, the pulse wave sensor 480 of FIG. 4). Based on whether the difference occurs for more than a reference time, the user's stable state may be confirmed. The wearable electronic device 400 calculates a heart rate variance (Δ The stable state of the user can be confirmed by whether PPG) occurs for a reference time or more.

Since the heart rate varies according to a person's age, gender, and health condition, the heart rate stability state for each individual can be personalized. For example, if you exercise a lot, your overall heart rate may drop, and as you get older, your heart rate may drop. Therefore, the degree of stability of the heartbeat can be determined by the heart rate variance (ΔPPG) corresponding to the difference between the measured heart rate of the user compared to the normal 'resting heart rate' (resting HR).

For example, when the value of the state flag is set to '0' because the user's heart rate variance (ΔPPG) occurs less than a reference time, the wearable electronic device 400 determines that the user's heart rate is in a stable state (eg, It can be determined that it is within about 61 ~ 80 bpm). In contrast, when the value of the state flag is set to '1' because the user's heart rate variance (ΔPPG) has occurred for more than a reference time, the wearable electronic device 400 determines that the user's heart rate is in an unstable state (eg, about 61 to 80 bpm). other than) can be determined.

In operation 940, the wearable electronic device 400 may determine whether or not to perform a second exercise of the user based on the ΔSkin temperature trend estimated in operation 910.

When a user performs an exercise, a change in skin temperature may increase. Skin temperature can generally identify whether or not a user is moving relatively accurately compared to a pulse wave (PPG) signal. In an embodiment, accuracy of user state estimation may be improved by using both the pulse wave signal and the skin temperature trend.

In operation 950, the wearable electronic device 400 determines a user's state index (user index; Ui) can be determined.

For example, the wearable electronic device 400 may determine the user's state index Ui as shown in Equation 2 below.

The user's condition index (Ui) is, for example, various user condition variables such as the user's movement degree (ΔACC), the user's heart rate variance (ΔPPG), and the user's skin temperature trend change (ΔSkin temperature trend). can be determined by

In one embodiment, the 'user state index' (UI) may correspond to a value for determining whether the user is in an appropriate state for measuring body temperature. At this time, each item (dACC, dPPG, dSkin) used to determine the user's state index may have a '1' value corresponding to TRUE or a '0' value corresponding to FALSE. For example, when the user's state index is '3', it may correspond to 'unstable state', which is the most inappropriate state for measuring the user's body temperature. In addition, when the user's state index is '0', it may correspond to a 'stable state', which is the most suitable state for the user to measure the body temperature.

According to embodiments, the wearable electronic device 400 may determine the user's condition index using any one or a combination of the above items. The wearable electronic device 400 may, for example, measure the skin temperature trend (dSkin) and user's movement (dACC), the skin temperature trend (dSkin) and heart rate variance (dPPG), or the user's movement (dACC) and heart rate variability (dPPG). It is also possible to determine the state index of the user using In one embodiment, the user state variables used to determine the user's state index (Ui) may be variously combined. At least one of the above-described user condition variables may be included in determining the user's condition index Ui, and additional user condition variables such as whether or not the user performs a second exercise based on the skin temperature trend may be further used. The wearable electronic device 400 can more precisely determine the user's state as the number of user state variables used to determine the user's state index Ui increases.

According to embodiments, the wearable electronic device 400 may assign different weights to user state variables used to determine the user state index Ui. For example, the wearable electronic device 400 may determine the user state index Ui by assigning different weights to the user state variables in consideration of the user's surrounding environment and/or the user's mental state.

10 is a diagram for explaining a method of estimating a skin temperature trend of a user according to an exemplary embodiment. Referring to FIG. 10 , according to an embodiment, body parts of a person 1010 at a specific temperature (eg, ① scalp, ② chest, ③ axilla, and ④ arm) , ⑤ finger, ⑥ thigh, ⑦ leg, ⑧ foot, ⑨ toe) is shown as a table 1030 showing body temperature distribution.

A wearable electronic device (eg, electronic device 101 of FIG. 1 , electronic device 104 , electronic device 200 of FIG. 2 , or electronic device 300 of FIG. 3 , wearable electronic device 400 of FIG. 4 , The wearable electronic device 600 of FIG. 6 uses a second thermistor (eg, the second thermistor 420 of FIG. 4 or the surface thermistor 625 of FIG. 6 ) to determine whether the user's body temperature can be measured. A user's skin temperature trend can be estimated. The surface thermistor described above may be used as the second thermistor 420 . At this time, the surface thermistor belongs to the second thermistor 420, but the first thermistor (eg, at least one first thermistor 410 of FIG. 4, the battery thermistor 631 of FIG. 6, the communication processor thermistor 633, may also belong to the application thermistor 635. In one embodiment, the first thermistor 410 and the second thermistor 420 may be physically separated thermistors, but may also be functionally divided abstract classifications.

Factors affecting the temperature sensor (eg, the temperature sensor 430 of FIG. 4 , the non-contact infrared (IR) temperature sensor 500 of FIG. 5 , and the temperature sensor 650 of FIG. 6 ) are the wearable electronic device 400 It may be internal heat and heat sensed by a user. In one embodiment, the user's body temperature to be measured can be largely divided into body temperature, skin temperature, and core temperature. 'Body temperature' may correspond to a representative temperature for estimating the health state of the body of the person 1010 . The body temperature is commonly used worldwide, and may be set based on a location from which a state of fever can be estimated, such as, for example, the armpit, forehead, inside the ear, or inside the mouth. As described above, the 'skin temperature' may correspond to a temperature corresponding to a part of the skin in contact with a temperature sensing sensor (eg, the second thermistor 420). The 'core temperature' corresponds to, for example, the temperature of an internal organ of the body, such as the heart or bladder, and may be distinguished from the extremity temperature of the body, such as fingers and toes, or the shell temperature, such as the skin.

However, the temperature measured by the wearable electronic device 400 is, for example, the temperature of a wrist, a finger, or the outer ear, and may correspond to a skin temperature at a different measurement point from a thermometer. The wearable electronic device 400 may correct the measured skin temperature value to a body temperature value so that the skin temperature measured at different measurement points can be standardized with the body temperature. The wearable electronic device 400 may standardize the skin temperature X measured by the second thermistor 420 at the measurement point as a body temperature value by reflecting the compensation coefficient k' as X*k'. The compensation coefficient k′ may correspond to a coefficient for compensating skin temperature with body temperature. In this way, the skin temperature standardized by the body temperature value may correspond to a 'skin temperature trend'.

11 is a diagram for explaining a method of controlling a body temperature measurement cycle based on a condition index of a user according to an embodiment. Referring to FIG. 11 , a graph 1110 illustrating a relationship between body temperature measurement cycles and measurement times according to an exemplary embodiment and a table 1130 showing measurement cycles corresponding to a user's condition index and a user's state are shown.

A wearable electronic device according to an embodiment (eg, electronic device 101 of FIG. 1 , electronic device 104 , electronic device 200 of FIG. 2 , or electronic device 300 of FIG. 3 , wearable electronic device of FIG. 4 ) The device 400 and the wearable electronic device 600 of FIG. 6) are temperature sensors (eg, the temperature sensor 430 of FIG. 4 and the non-contact infrared (IR) temperature sensor 500 of FIG. 5 based on the user's condition index). ), the user's body temperature may be measured by adjusting the body temperature measurement cycle by the temperature sensor 650 of FIG. 6 . The wearable electronic device 400 may determine the next user's body temperature measurement cycle according to the user's condition index.

The measurement period for measuring the user's body temperature may increase in proportion to an increase in the number of times N is measured, for example, as shown in the graph 1110 . The measurement period may have various values from a minimum value (eg, 5 minutes (min)) to a maximum value (eg, 60 minutes (min)).

The wearable electronic device 400 may adjust the next measurement period according to the user's condition, for example, as shown in table 1130.

Since the change in body temperature is not large compared to the heart rate (HR) and the continuity is high when the user heats up, the measurement period may be shorter than that of the heart rate. For example, the wearable electronic device 400 may measure the body temperature once every 60 minutes when the user's condition is stable. In a stable state, there are not many factors that affect the temperature measurement, so even if the temperature is measured once every 60 minutes, the measured value can be accurate.

In contrast, when the user is exercising or the user's movement is large, a biologically unstable state may occur. When the user's condition is in an unstable state, the wearable electronic device 400 may closely respond to biometric changes by reducing the measurement period. When the user's state is unstable, the wearable electronic device 400 can determine the user's state more closely and accurately by shortening the measurement period. When the unstable state is maintained, the wearable electronic device 400 can more accurately and quickly collect information about the body temperature change state by measuring the body temperature with a short measurement cycle, for example, when measuring the body temperature continuously for 24 hours.

For example, suppose that the measurement cycle for the first measurement is set to a minimum value of 5 minutes. At this time, if the user's condition index is determined to be '0' corresponding to the 'stable' state, the wearable electronic device 400 may gradually increase the measurement period from 5 minutes to 10 minutes, 30 minutes, and 60 minutes. In contrast, if the user's condition index is determined to be '2' corresponding to the 'unstable' state in a situation where the measurement period is set to 30 minutes, the wearable electronic device 400 may reduce the measurement period from 30 minutes to 10 minutes. .

The wearable electronic device 400 adjusts the body temperature measurement cycle according to the user's state index, for example, as shown in table 1130, so that when the user is in a 'stable' state, the body temperature measurement cycle is increased to increase the current consumed in body temperature measurement. can reduce Also, when the user is in an 'unstable' state, the wearable electronic device 400 may improve the accuracy of body temperature measurement by reducing the body temperature measurement cycle.

12 is a flowchart illustrating a method of operating a wearable electronic device according to another embodiment. In the following embodiments, each operation may be performed sequentially, but not necessarily sequentially. For example, the order of each operation may be changed, or at least two operations may be performed in parallel.

Referring to FIG. 12 , a wearable electronic device according to an embodiment (eg, the electronic device 101 of FIG. 1 , the electronic device 104 of FIG. 1 , the electronic device 200 of FIG. 2 , or the electronic device 300 of FIG. 3 ) 4, the wearable electronic device 400 of FIG. 6, and the wearable electronic device 600 of FIG. 6 are temperature sensors (eg, the temperature sensor 430 of FIG. 4 or the temperature sensor 430 of FIG. The body temperature value measured by the non-contact infrared (IR) temperature sensor 500 and the temperature sensor 650 of FIG. 6 may be corrected.

In operation 1210, the wearable electronic device 400 may determine whether the wearable electronic device 400 is worn. The wearable electronic device 400 may determine whether the user is wearing the wearable electronic device 400 by a touch sensor (eg, the touch sensor 490 of FIG. 4 ). In operation 1210, if it is determined that the user is not wearing the wearable electronic device 400 (No), the wearable electronic device 400 ends the operation or wears the wearable electronic device 400 by the contact sensor 490. You can wait until it is detected.

Assume that it is determined in operation 1210 that the user is wearing the wearable electronic device 400 (Yes). In this case, in operation 1220, the wearable electronic device 400 includes at least one first thermistor (eg, at least one first thermistor 410 of FIG. 4 , the battery thermistor 631 of FIG. 6 , and the communication processor thermistor 633). , The application thermistor 635) may be used to measure the internal temperature of the wearable electronic device 400 to determine whether it is within the reference temperature range. If it is determined in operation 1220 that the internal temperature of the wearable electronic device 400 is out of the reference temperature range, the wearable electronic device 400 may wait until it is determined that the internal temperature is within the reference temperature range.

Assume that it is determined in operation 1220 that the internal temperature of the wearable electronic device 400 is within the reference temperature range. In this case, in operation 1230, the wearable electronic device 400 may estimate the skin temperature trend using the second thermistor (eg, the second thermistor 420 of FIG. 4 or the surface thermistor 625 of FIG. 6 ). The wearable electronic device 400 may estimate the skin temperature trend by, for example, the method described above with reference to FIG. 10 .

In operation 1240, the wearable electronic device 400 detects the skin temperature trend (dSkin) estimated in operation 1230, the user's movement (dACC) detected by a motion sensor (eg, the motion sensor 470 of FIG. 4), and a pulse wave. The condition index of the user may be determined based on at least one of the user's heart rate variance (dPPG) detected by a sensor (eg, the pulse wave sensor 480 of FIG. 4 ).

In operation 1250, the wearable electronic device 400 may control or adjust a measurement period based on the condition index of the user determined in operation 1240.

In operation 1260, the wearable electronic device 400 measures the body temperature with the temperature sensor 430 according to the measurement period controlled in operation 1250, and measures the temperature with the temperature sensor 430 using the measured value of the second thermistor 420. The temperature value can be corrected.

13 is a diagram for explaining a method of correcting a user's body temperature according to an exemplary embodiment. Referring to FIG. 13 , a graph 1300 illustrating a change in body temperature according to age/gender according to an embodiment is shown.

A wearable electronic device according to an embodiment (eg, electronic device 101 of FIG. 1 , electronic device 104 , electronic device 200 of FIG. 2 , or electronic device 300 of FIG. 3 , wearable electronic device of FIG. 4 ) The device 400 and the wearable electronic device 600 of FIG. 6) generate temperature sensors (eg, the temperature sensor 430 of FIG. 4 and the non-contact infrared (IR) temperature of FIG. 5 when the measurement period adjusted through the above-described process is reached. The body temperature may be calculated by the sensor 500 and the temperature sensor 650 of FIG. 6 .

The normal measurement range for each individual may vary depending on, for example, age, gender, and/or measurement location. Body temperature is generally within the range of about 35.9℃~37.6℃, but the normal temperature range of the ear is about 35.8℃~37.8℃, the normal temperature range of the mouth is about 35.5℃~37.5℃, and the normal body temperature range of the armpit is about 35.8℃~37.8℃. It is about 35.3 ° C to 37.3 ° C, and the normal body temperature range of the anus may be about 36.6 ° C to 37.9 ° C. In addition, in the case of infants, the normal body temperature range of 3 months or less is about 35.8 ° C to 37.4 ° C, the normal body temperature range of 3 months to 36 months is about 35.4 ° C to 37.6 ° C, and the normal body temperature range of 36 months or more is about 35.4 ° C to It may be 37.7°C.

The wearable electronic device 400 may, for example, measure the second thermistor (eg, the second thermistor 420 of FIG. 4 or the surface thermistor 625 of FIG. 6 ) according to age, gender, and/or measurement location ( The body temperature value corresponding to the skin temperature) may be prepared in advance, and the body temperature calculated by the temperature sensor 430 may be corrected by referring to the table.

Since the wearable electronic device 400 already knows information about the user, such as the age and gender of the corresponding user, it does not simply unify the matching value of the skin temperature. It is possible to correct the calculated body temperature by separately applying a correction value based on user information to the measured sensor value. For example, the wearable electronic device 400 may differently apply a skin temperature correction value for an adolescent male and an elderly female skin temperature correction value.

14 is a diagram illustrating an example of displaying a body temperature measurement value by a wearable electronic device according to an exemplary embodiment. Referring to FIG. 14 , a wearable electronic device according to an embodiment (eg, the electronic device 101 of FIG. 1 , the electronic device 104 of FIG. 1 , the electronic device 200 of FIG. 2 , or the electronic device 300 of FIG. 3 ) , the screen 1400 on which the wearable electronic device 400 of FIG. 4 and the wearable electronic device 600 of FIG. 6 display the measured body temperature is shown.

The wearable electronic device 400 may monitor the user's body temperature 24 hours a day. The wearable electronic device 400 may display the measured body temperature value in a graph form as shown on the screen 1400 .

The wearable electronic device 400 includes, for example, a reference temperature range that can be determined as normal body temperature according to user's personal characteristics (eg, gender, age, measurement range, pre-measured information), as shown in a drawing 1400 . 1410 may be set, and the body temperature included in the reference temperature range 1410 may be displayed as normal body temperature.

However, during measurement, a body temperature may deviate from the reference temperature range 1410 corresponding to normal. When the measured body temperature deviates from the reference temperature range 1410, there may be a case in which the user actually has a fever and a case in which the user has a fever due to a different factor (eg, hot weather or temporary fever due to exercise such as running).

The wearable electronic device 400 uses a result of detecting a user's motion by a motion sensor such as an acceleration sensor or a gyro sensor (eg, the motion sensor 470 of FIG. Cases of fever due to other factors can be distinguished and displayed.

For example, when fever actually occurs, the wearable electronic device 400 displays the measured time point according to the measurement cycle of the temperature sensor and the measured body temperature value at the corresponding measurement time point, and displays an alarm indicating that the user is in a fever state, or can be conveyed If the user's fever continues, the wearable electronic device 400 may suggest that the user go to a hospital, inform the user of measures to be taken according to the fever, or connect the user with a doctor remotely. If the user's fever continues, the wearable electronic device 400 frequently measures the body temperature by adjusting the measurement cycle as short as, for example, 10-minute intervals, and measures the body temperature briefly until the user's body temperature recovers to a normal temperature. cycle can be continued.

For example, the wearable electronic device 400 may periodically measure and display body temperature. When periodically measuring the user's body temperature, the wearable electronic device 400 may skip the body temperature measurement and not display the body temperature if it is determined that the user's state is not suitable for measuring the body temperature. In this case, when it is determined that the body temperature is not in a suitable state, for example, the user's movement is high, the heart rate is high, a fever is generated by exercise, and/or the temperature is high. In this case, the wearable electronic device 400 may measure the user's body temperature again after n hours by reducing the measurement period until a situation suitable for measuring the user's body temperature is reached. The wearable electronic device 400 periodically measures and displays the body temperature, but when it is suspected that the body temperature measurement result is not an accurate measurement, the suspected measurement result may be displayed differently from the general body temperature.

In contrast, the wearable electronic device 400 may exclude from measurement when fever is caused by other factors, or display the measured body temperature at that time differently, such as 1420, so that it can be known that fever is caused by other factors (e.g., A circle with an empty inside), or, for example, a thermometer icon 1430 indicating a reason corresponding to fever (eg, high temperature) may be displayed together with the body temperature.

Alternatively, the wearable electronic device 400 may measure the user's body temperature, for example, when the user's condition is in a state suitable for measuring the body temperature. The wearable electronic device 400 determines that there is no movement of the user, n1 time has elapsed since the body temperature was measured, and other conditions representing the user's condition (e.g., the user's heart rate variance, which are other factors that determine the user's condition index Ui) , and/or change amount of the user's skin temperature trend) may be satisfied. The wearable electronic device 400 may measure the user's body temperature again at the measurement time n2 (n1 > n2) when the conditions representing the user's state do not satisfy the conditions suitable for measuring the user's body temperature.

In addition, the wearable electronic device 400 may measure and display the body temperature periodically or according to circumstances. The wearable electronic device 400 may include, for example, a motion sensor 470, a pulse wave sensor (eg, the pulse wave sensor 480 of FIG. 4 ), and/or a thermistor (eg, the first thermistor 410 of FIG. 4 , the second 2 Thermistor 420) can be used to correct and display the measured body temperature value. When the wearable electronic device 400 corrects and displays the body temperature value, it may also display an error rate (eg, ± several degrees).

According to an embodiment, the wearable electronic device 400 may measure the user's body temperature adaptively, that is, irregularly, by determining the measurement situation through machine learning. The wearable electronic device 400 may monitor the user's situation and correct the measured body temperature by machine learning.

According to an embodiment, the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 are disposed at different heating locations of the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 to generate internal elements 602 , 604 of the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 . ,605) at least one that detects a temperature change a first thermistor (410, 631, 633, 635), a temperature sensor (430, 500, 650) for calculating the user's body temperature based on temperature changes of the internal elements (602, 604, 605) and the user's skin temperature trend, and the at least one 1 It is determined whether the internal temperature of the internal elements 602 , 604 , 605 of the wearable electronic device 101 , 104 , 200 , 300 , 400 600 is within a reference temperature range that does not affect the calculation of the user's body temperature by the measured values of the thermistors 410 , 631 , 633 635 , When it is determined that the internal temperature is within the reference temperature range, a condition index of the user indicating whether the user is in a state in which body temperature can be measured is determined, and based on the condition index of the user, a body temperature measurement cycle is adjusted to determine the user's body temperature. It may include processors 120 and 440 that measure.

According to an embodiment, the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 further includes a touch sensor 490 that detects whether or not the user is touched, and the processor 120 440 detects the user by the touch sensor 490 . When it is determined that the wearable electronic device 101 , 104 , 200 , 300 , 400 , or 600 is worn, it may be determined whether the internal temperature is within the reference temperature range based on a measurement value of the at least one first thermistor 410 , 631 , 633 , or 635 .

According to an embodiment, the internal elements 602 , 604 , and 605 may include at least one of an application processor (AP) 120 and 605 , a battery 189 and 602 , and a communication processor (CP) 120 and 440 .

According to an embodiment, the processor 120 440 calculates representative values of the temperatures of the internal elements 602 , 604 , and 605 based on the measured values of the at least one first thermistor 410 , 631 , 633 , and 635 , and the representative values are the reference values. It can determine whether it is within the temperature range.

According to an embodiment, the processors 120 and 440 may calculate the representative value by assigning different weights to measured values of the at least one first thermistor 410 , 631 , 633 , and 635 .

According to an embodiment, when the representative value is out of the reference temperature range, the processor 120 or 440 determines the temperature of the internal elements 602 , 604 , and 605 after a re-checking time required for temperature reduction has elapsed. One thermistor 410 , 631 , 633 , and 635 may be re-measured, and it may be determined whether the re-measured value of the first thermistor is within the reference temperature range.

According to an embodiment, the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 includes a motion sensor 470 that detects the user's motion, a pulse wave (PPG) sensor 480 that detects the user's heartbeat, and the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 ) and at least one of second thermistors 420 and 625 estimating a skin temperature trend of the user from the outside, and when the processor 120 and 440 determines that the internal temperature is within the reference temperature range, the second thermistor 420 and 625 Estimating the skin temperature trend of the user wearing the wearable electronic device (101, 104, 200, 300, 400, 600) using the measured value of ), based on at least one of the user's motion, the user's heart rate variance, and the user's skin temperature trend , it is possible to determine the state index of the user.

According to an embodiment, the processor 120 or 440 determines whether or not the user first exercised based on the degree of the user's movement digitized according to the magnitude value of the motion sensor 470, and when the user is at rest. Based on the variance of the user's heart rate corresponding to the difference between the heart rate and the user's heart rate, the user's resting state is confirmed, whether or not the user's second exercise is determined based on the skin temperature trend, and the first exercise Based on whether or not, whether or not the second exercise, and the user's stable state, it is possible to determine the user's condition index.

According to an embodiment, the processor 120 or 440 reduces the body temperature measurement period as the user's condition index approaches an index indicating an unstable state, and decreases the body temperature as the user's condition index approaches an index indicating a stable state. The measurement period can be increased.

According to an embodiment, the wearable electronic device (101, 104, 200, 300, 400, 600) further includes a second thermistor (420, 625) for estimating a skin temperature trend of a user outside the wearable electronic device, and the processor (120, 440) is configured to detect the temperature sensor ( 430, 500, and 650), the body temperature of the user obtained according to the body temperature measurement cycle may be corrected using the measured value of the second thermistor 420 or 625.

According to an embodiment, the operation method of the wearable electronic device 101 , 104 , 200 , 300 , 400 , 600 includes operation 710 of determining whether the wearable electronic device 101 , 104 , 200 , 300 , 400 , or 600 is worn, based on whether the wearable electronic device 101 , 104 , 200 , 300 , 400 , or 600 is worn. As, the wearable electronic device Operation 720 of determining whether the internal temperature of the internal elements 602, 604, and 605 of (101, 104, 200, 300, 400, and 600) is within a reference temperature range that does not affect the user's body temperature measurement. If it is determined that the internal temperature is within the reference temperature range, the user It may include an operation 730 of determining a condition index of the user indicating whether the user's body temperature can be measured, and an operation 740 of measuring the user's body temperature by adjusting a body temperature measurement cycle based on the user's condition index.

According to an embodiment, the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 may include at least one first thermistor disposed at different heat generating locations within the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 to detect a temperature change of the internal elements 602 , 604 , and 605 ( 410,631,633,635), and the operation of determining whether the temperature is within the reference temperature range is based on whether the wearable electronic device 101,104,200,300,400,600 is worn or not, by measuring values of at least one first thermistor 410,631,633,635 to determine the internal elements It may include an operation of determining whether the internal temperature by (602, 604, 605) is within the reference temperature range.

According to an embodiment, the internal elements 602 , 604 , and 605 may include at least one of an application processor (AP) 120 and 605 , a battery 189 and 602 , and a communication processor (CP) 120 and 440 .

According to an embodiment, the operation of determining whether the temperature is within the reference temperature range is an operation of calculating representative values of the temperatures of the internal elements 602 , 604 , and 605 based on the measured values of the at least one first thermistor 410 , 631 , 633 , and 635 . , and determining whether the representative value is within the reference temperature range.

According to an embodiment, the operation of determining whether or not the representative value is within the reference temperature range reconfirms the temperature reduction required for each temperature of the internal elements 602 , 604 , and 605 when the representative value is out of the reference temperature range. After a lapse of time, the at least one first thermistor 410 , 631 , 633 , 635 may be remeasured, and the remeasured value of the first thermistor may be determined to be within the reference temperature range.

According to an embodiment, the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 may include a second thermistor 420 625 estimating a skin temperature trend of the user outside the wearable electronic device 101 , 104 , 200 , 300 , 400 , and 600 , a motion sensor ( 470), and at least one of a pulse wave sensor for detecting the user's heartbeat, wherein the operation of determining the condition index of the user includes the second thermistor 420 or 625 when it is determined that the internal temperature is within the reference temperature range. An operation of estimating a skin temperature trend of the user wearing the wearable electronic device (101, 104, 200, 300, 400, 600) using a measurement value of and based on at least one of the user's movement, the user's heart rate variance, and the user's skin temperature trend As, it may include an operation of determining the state index of the user.

According to one embodiment, the operation of determining the condition index of the user is based on the degree of the user's movement digitized according to the size value of the motion sensor 470, the operation of determining whether the user's first movement, Based on the user's heart rate variance corresponding to the difference between the user's heart rate and the user's heart rate when the user is resting, the operation of confirming the user's resting state and determining whether or not to exercise the user's second exercise by the skin temperature trend It may include an operation of determining the condition index of the user based on at least one of the first exercise, the second exercise, and the user's stable state.

According to an embodiment, the operation of measuring the user's body temperature includes an operation of decreasing the body temperature measurement period as the user's condition index is closer to an index indicating an unstable state, and an index indicating a stable state when the user's condition index is An operation of increasing the body temperature measurement cycle may be included as it is closer to .

According to an embodiment, the wearable electronic device (101, 104, 200, 300, 400, 600) further includes a second thermistor (420, 625) estimating a skin temperature trend of the user outside the wearable electronic device, and the operation of measuring the user's body temperature is as described above. Obtaining the user's body temperature according to the body temperature measurement cycle using the temperature sensors 430, 500, and 650, and the second thermistor 420, 625 estimating the user's skin temperature trend from the outside of the wearable electronic device 101, 104, 200, 300, 400, 600 An operation of correcting the obtained user's body temperature using the measured value may be included.

Claims (20)

In a wearable electronic device,
at least one first thermistor disposed at different heat generating positions of the wearable electronic device to detect a temperature change of internal elements of the wearable electronic device;
a temperature sensor that calculates the user's body temperature based on the temperature change of the internal elements and the user's skin temperature trend; and
It is determined whether the internal temperature of the internal elements of the wearable electronic device is within a reference temperature range that does not affect the user's body temperature calculation based on the measured value of the at least one first thermistor, and the internal temperature is the When it is determined that the temperature is within the reference temperature range, a processor for determining the user's condition index indicating whether the user's body temperature can be measured, and measuring the user's body temperature by adjusting a body temperature measurement cycle based on the user's condition index
Including, a wearable electronic device. According to claim 1,
Further comprising a touch sensor for detecting whether or not the user is touched,
The processor
When it is determined by the touch sensor that the user is wearing the wearable electronic device, the wearable electronic device determines whether the internal temperature is within the reference temperature range based on the measured value of the at least one first thermistor. . According to claim 1,
the internal components
A wearable electronic device including at least one of an application processor (AP), a battery (BATTERY), and a communication processor (CP). According to claim 1,
The processor
The wearable electronic device of claim 1 , wherein a representative value of the temperatures of the internal elements is calculated based on the measured value of the at least one first thermistor, and whether the representative value is within the reference temperature range. According to claim 4,
The processor
The wearable electronic device, wherein the representative value is calculated by assigning a different weight to each measurement value of the at least one first thermistor. According to claim 4,
The processor
When the representative value is out of the reference temperature range, re-measuring the at least one first thermistor after a re-checking time required for temperature reduction for each temperature of the internal elements has elapsed;
and determining whether the re-measured value of the first thermistor is within the reference temperature range. According to claim 1,
At least one of a motion sensor for detecting the user's movement, a pulse wave (PPG) sensor for detecting the user's heartbeat, and a second thermistor for estimating the user's skin temperature trend outside the wearable electronic device; ,
The processor
If it is determined that the internal temperature is within the reference temperature range, a skin temperature trend of the user wearing the wearable electronic device is estimated using a measurement value of the second thermistor;
The wearable electronic device that determines the condition index of the user based on at least one of the user's movement, the user's heart rate variance, and the user's skin temperature trend. According to claim 7,
The processor
Based on the degree of the user's movement digitized according to the magnitude value of the motion sensor, determining whether or not the user's first movement is performed;
Confirming the user's resting state based on the user's heart rate variance corresponding to the difference between the user's heart rate and the user's resting heart rate;
Determine whether or not the user's second exercise is performed based on the skin temperature trend;
The wearable electronic device that determines the user's condition index based on whether the first exercise is performed, whether the second exercise is performed, and the user's stable state. According to claim 1,
The processor
As the user's condition index is closer to an index indicating an unstable state, the body temperature measurement cycle is reduced;
The wearable electronic device, wherein the body temperature measurement cycle is increased as the user's condition index is closer to an index indicating a stable state. According to claim 1,
The wearable electronic device
A second thermistor for estimating a user's skin temperature trend outside the wearable electronic device
Including more,
The processor
The wearable electronic device correcting the user's body temperature obtained according to the body temperature measurement period using the temperature sensor by using the measured value of the second thermistor. In the method of operating a wearable electronic device,
determining whether to wear the wearable electronic device;
determining whether an internal temperature of internal elements of the wearable electronic device is within a reference temperature range that does not affect a user's body temperature measurement, based on whether the wearable electronic device is worn or not;
determining a state index of the user indicating whether the user's body temperature can be measured when it is determined that the internal temperature is within the reference temperature range; and
An operation of measuring the body temperature of the user by adjusting a body temperature measurement cycle based on the condition index of the user
Including, a method of operating a wearable electronic device. According to claim 11,
The wearable electronic device
at least one first thermistor disposed at different heat generating locations within the wearable electronic device to detect a temperature change of the internal elements;
The operation of determining whether it is within the reference temperature range is
An operation of determining whether an internal temperature of the internal elements is within the reference temperature range based on whether the wearable electronic device is worn or not, based on a measurement value of at least one first thermistor.
Including, a method of operating a wearable electronic device. According to claim 12,
the internal components
A method of operating a wearable electronic device including at least one of an application processor (AP), a battery (BATTERY), and a communication processor (CP). According to claim 13,
The operation of determining whether it is within the reference temperature range is
calculating representative values of the temperatures of the internal elements based on the measured values of the at least one first thermistor; and
An operation of determining whether the representative value is within the reference temperature range
Including, a method of operating a wearable electronic device. According to claim 14,
The operation of determining whether the representative value is within the reference temperature range
re-measuring the at least one first thermistor after a re-checking time required for temperature reduction for each temperature of the internal elements has elapsed when the representative value is out of the reference temperature range; and
An operation of determining whether the value of the remeasured first thermistor is within the reference temperature range
Including, a method of operating a wearable electronic device. According to claim 11,
The wearable electronic device
At least one of a second thermistor for estimating a skin temperature trend of the user, a motion sensor for detecting a motion of the user, and a pulse wave sensor for detecting a heartbeat of the user outside the wearable electronic device;
The operation of determining the state index of the user is
estimating a skin temperature trend of the user wearing the wearable electronic device using a measurement value of the second thermistor when it is determined that the internal temperature is within the reference temperature range; and
Determining a condition index of the user based on at least one of the user's movement, the user's heart rate variance, and the user's skin temperature trend
Including, a method of operating a wearable electronic device. According to claim 16,
The operation of determining the state index of the user is
determining whether or not to perform a first exercise of the user based on the degree of the user's movement digitized according to the magnitude value of the motion sensor;
confirming a resting state of the user based on a variance of the user's heart rate corresponding to a difference between a heart rate of the user and a heart rate of the user when the user is resting;
determining whether or not to perform a second exercise of the user based on the skin temperature trend; and
An operation of determining a condition index of the user based on at least one of the first exercise, the second exercise, and the user's stable state.
Including, a method of operating a wearable electronic device. According to claim 11,
The operation of measuring the body temperature of the user
reducing the body temperature measurement cycle as the user's condition index approaches an index indicating an unstable state; and
An operation of increasing the body temperature measurement cycle as the user's condition index is closer to an index indicating a stable state.
Including, a method of operating a wearable electronic device. According to claim 11,
The wearable electronic device
A second thermistor for estimating a user's skin temperature trend outside the wearable electronic device
Including more,
The operation of measuring the body temperature of the user
acquiring the body temperature of the user according to the body temperature measurement period by using the temperature sensor; and
Correcting the obtained user's body temperature using a measurement value of a second thermistor for estimating a skin temperature trend of the user outside the wearable electronic device.
Including, a method of operating a wearable electronic device. A computer program stored in a computer-readable recording medium in order to execute the method of any one of claims 11 to 19 in combination with hardware.

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