Electronic device for sensing body information, and method therefor

Abstract

An electronic device for acquiring body information is disclosed. The device comprises: a communication module; a display module; a memory for storing instructions; and at least one processor including a processing circuit, wherein: first sensing data and second sensing data are stored in the memory when received through the communication module; the first sensing data is corrected when it is identified that a first wearable device is abnormally worn; at least one piece of body information about the body of user is acquired on the basis of the corrected first sensing data and the second sensing data; and a screen including the acquired at least one piece of body information is displayed. Therefore, accurate body information can be provided.

Description

Electronic device for sensing body information and method thereof

[0001] Embodiments of the present disclosure relate to an electronic device and method for sensing body information.

[0002] Advances in electronic technology have led to the development and proliferation of various types of electronic devices. One such device is a portable device, such as a mobile phone.

[0003] Modern electronic devices not only provide their own functions, but also offer a wider range of functions through linkage with external devices.

[0004] Specifically, when a user wears a wearable device, the electronic device can obtain and display body information about the user based on sensing data sensed by the wearable device.

[0005] However, there was a problem that the sensing data may not be measured accurately if the wearable device is not worn properly, and as a result, body information cannot be obtained accurately.

[0006] An electronic device according to at least one embodiment of the present disclosure includes a communication module for performing communication with first and second wearable devices wearable on a user's body, a display module, a memory for storing instructions, and at least one processor including a processing circuit, wherein when the instructions are individually or collectively executed by the at least one processor, the electronic device stores the first sensing data and the second sensing data in the memory when first sensing data sensed by the first wearable device and second sensing data sensed by the second wearable device are received through the communication module, corrects the first sensing data when the first wearable device is identified as being abnormally worn, obtains at least one body information about the user's body based on the corrected first sensing data and the second sensing data, and controls the display module to display a screen including the obtained at least one body information.

[0007] A method for sensing body information in an electronic device according to at least one embodiment of the present disclosure includes: receiving first sensing data and second sensing data from first and second wearable devices wearable on a user's body through a communication module and storing the data in a memory; correcting the first sensing data when the first wearable device is identified as being abnormally worn; acquiring at least one body information about the user's body based on the corrected first sensing data and the second sensing data; and displaying a screen including the at least one body information.

[0008] According to at least one embodiment of the present disclosure, a non-transitory readable recording medium storing a program for performing a method for providing body information includes an operation of receiving first sensing data and second sensing data from first and second wearable devices wearable on a user's body and storing the first sensing data in a memory, an operation of correcting the first sensing data when the first wearable device is identified as being abnormally worn, an operation of obtaining at least one body information about the user's body based on the corrected first sensing data and the second sensing data, and an operation of displaying a screen including the at least one body information.

[0009] FIG. 1 is a drawing for explaining the operation of an electronic device according to at least one embodiment of the present disclosure;

[0010] Figure 2 is a drawing showing examples of abnormal wearing states of a wearable device.

[0011] FIG. 3 is a block diagram illustrating a configuration of a wearable device and an electronic device according to at least one embodiment of the present disclosure;

[0012] Figures 4a and 4b are diagrams for explaining various methods for identifying abnormal wearing conditions based on sensing data.

[0013] Figures 5a to 5c are diagrams showing the difference in sensing data when worn normally and when worn abnormally.

[0014] FIG. 6 is a block diagram showing an example of a detailed configuration of an electronic device according to at least one embodiment of the present disclosure;

[0015] Figure 7 is a drawing showing an example of a calibration screen displayed on an electronic device;

[0016] FIG. 8 and FIG. 9 are flowcharts for explaining a body information sensing method of an electronic device according to various embodiments of the present disclosure.

[0017] FIG. 10 is a diagram showing the configuration of a wearable device according to at least one embodiment of the present disclosure;

[0018] Figure 11 is a front view of the wearable device of Figure 10;

[0019] Figure 12 is an exploded perspective view of the wearable device of Figure 10, and

[0020] FIG. 13 and FIG. 14 are flowcharts for explaining the operation method of wearable devices according to various embodiments of the present disclosure.

[0021] Hereinafter, various embodiments of this document are described with reference to the attached drawings. However, this is not intended to limit the technology described in this document to specific embodiments, and it should be understood that various modifications, equivalents, and / or alternatives of the embodiments of this document are included. In connection with the description of the drawings, similar reference numerals may be used for similar components.

[0022] Additionally, the expressions "first," "second," etc. used in this document can describe various components, regardless of order and / or importance, and are only used to distinguish one component from another, and do not limit the components. For example, "part 1" and "part 2" can refer to different parts, regardless of order or importance. For example, without departing from the scope of the rights set forth in this document, the first component can be referred to as the second component, and similarly, the second component can also be referred to as the first component.

[0023] The terms used in this document are used only to describe specific embodiments and may not be intended to limit the scope of other embodiments. The singular expression may include the plural expression unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by those of ordinary skill in the art described in this document. Terms defined in general dictionaries among the terms used in this document may be interpreted as having the same or similar meaning in the context of the relevant technology, and shall not be interpreted in an idealized or overly formal sense unless explicitly defined in this document. In some cases, even if a term is defined in this document, it cannot be interpreted to exclude the embodiments of this document.

[0024] Hereinafter, various embodiments of the present invention will be described in detail with reference to the attached drawings.

[0025] FIG. 1 is a diagram illustrating the operation of an electronic device according to at least one embodiment of the present disclosure. According to FIG. 1, an electronic device (100) is connected to wearable devices (200, 300). In FIG. 1, the electronic device (100) is illustrated as communicating with two wearable devices (200, 300), but the number of wearable devices may be varied from one to three or more.

[0026] In FIG. 1, an electronic device (100) is implemented as a mobile phone, one of the wearable devices (200) is implemented as a ring-type wearable device, and the other (300) is implemented as a watch-type wearable device. The ring-type wearable device is a ring-shaped electronic device that a user can wear on a finger, and the watch-type wearable device is a watch-shaped electronic device that a user can wear on a wrist.

[0027] However, the present invention is not limited thereto, and the electronic device (100) may be a tablet PC, a PC, a laptop PC, a TV, a monitor, a server device, or other various types of devices other than a mobile phone. In addition, wearable devices are not necessarily implemented only in the form of rings or watches, but may be implemented in various forms such as bracelets, anklets, necklaces, earrings, glasses, clothing, headbands, etc., and may also be implemented in a form that can be attached and detached in the form of stickers.

[0028] As shown in FIG. 1, the ring-type wearable device (200) and the watch-type wearable device (300) can be worn on the user's body (10). For convenience of explanation, the ring-type wearable device (200) is hereinafter described as a first wearable device or ring, and the watch-type wearable device (300) is hereinafter described as a second wearable device or watch.

[0029] Each wearable device (200, 300) includes at least one sensor. When a wireless communication session with an electronic device (100) is connected, each wearable device (200, 300) can transmit sensing data sensed by the sensor about the user's body (10). For convenience of explanation, the sensing data transmitted by the first wearable device (200) is referred to as first sensing data, and the sensing data transmitted by the second wearable device (300) is referred to as second sensing data. The acquisition method and type of each sensing data will be described in detail again in the following section.

[0030] The electronic device (100) acquires body information about the user's body (10) based on the first and second sensing data transmitted from the first and second wearable devices (200, 300). The body information may include various types of information. For example, the electronic device (100) may acquire various types of information such as heart rate, blood oxygen concentration, stress level (Degree), user's activity status information, movement information, body temperature information, menstrual cycle information, etc. The acquisition method for each type of information will also be described in detail in the following section. The body information may be described in various ways such as biometric information, health information, condition information, status information, etc., but in the present disclosure, it is described as body information.

[0031] When multiple wearable devices (200, 300) are connected as shown in FIG. 1, the electronic device (100) can detect the above-described body information based on the sensing data transmitted from each wearable device (200, 300).

[0032] Due to its nature, wearable devices can obtain the most accurate sensing data when they are in close contact with the user's body (10). However, the wearing condition of the wearable device may vary depending on the user. For example, some people may wear a watch (300) loosely, while others may habitually take off and put on or turn a ring (200). In addition, due to its shape, the ring (200) may turn along the surface of the finger and turn upside down even without the user's intention. In addition, foreign substances such as water or soap may get on the ring (200) when washing hands while wearing the ring (200), or the ring may even get wet on the finger while washing hands.

[0033] In this state, the wearable device's sensors do not make proper contact with the user's body, making it impossible to obtain accurate sensing data from the wearable device. As described above, a state in which accurate sensing data cannot be obtained is hereinafter referred to as an abnormal wearing state. On the other hand, a normal wearing state may refer to a state in which the sensors provided on the wearable device are in good contact with the user's body. Furthermore, a wearable device such as a ring or watch that is removed from the user's body is referred to as an unworn state.

[0034] The electronic device (100) can determine whether each wearable device (200, 300) is worn abnormally or normally based on at least one of the first and second sensing data. A specific determination method will be described in detail later.

[0035] If the electronic device (100) determines that the first wearable device (200) is abnormally worn, the electronic device (100) corrects at least a portion of the first sensing data sensed by the first wearable device (200). In the present disclosure, the term "correction" includes various operations, such as modifying, deleting, or replacing data with other data. The correction operation may also be referred to as "updating." The electronic device (100) acquires at least one piece of body information about the user's body based on the corrected first sensing data and second sensing data.

[0036] In the above, it has been described that only the first wearable device (200) is checked for abnormal wearing and some data is deleted or corrected accordingly, but it is not necessarily limited to this, and the second wearable device (300) may also be checked for abnormal wearing and data may be deleted or corrected accordingly.

[0037] FIG. 2 is a diagram illustrating an example of a state in which the first wearable device is abnormally worn. According to FIG. 2, the first wearable device (200) is a ring and the second wearable device is a watch. The first wearable device (200) can be worn on a user's finger. In this case, the central axis x of the first wearable device (200) corresponds to the direction of the user's finger. In this state, the user can habitually take off and put on the first wearable device (200) or turn it with the opposite hand while keeping the arm still.

[0038] The electronic device (100) identifies the movement of the first wearable device (200) based on first sensing data sensed by the first wearable device (200). In addition, the electronic device (100) identifies the movement of the second wearable device (300) based on second sensing data sensed by the second wearable device (300).

[0039] Specifically, the first and second wearable devices (200, 300) each have at least one built-in sensor capable of detecting movement, such as an accelerometer sensor, a gyro sensor, a geomagnetic sensor, an inertial measurement unit (IMU), etc. The first and second wearable devices (200, 300) transmit sensing data including sensing values ​​of these sensors to the electronic device (100).

[0040] The electronic device (100) can calculate the pitch angle, roll angle, yaw angle, azimuth angle, angular velocity, etc. of each of the first and second wearable devices (200, 300) based on the sensing values. The electronic device (100) identifies whether the first and second wearable devices (200, 300) are moving based on the calculated information.

[0041] In the case of Fig. 2, when the user repeatedly takes off and puts on the ring (200), the ring (200) is identified as repeatedly moving from position x1 to position x2, and when the ring (200) is turned, movement in the R direction or the opposite direction is identified.

[0042] If the user wears both the first and second wearable devices (200, 300) as shown in FIGS. 1 and 2, the movements of both the first and second wearable devices (200, 300) can be detected when the user moves. However, if the user only touches the ring (200), the second wearable device (300) hardly moves or moves within a certain allowable range, and only the movement of the first wearable device (200) can be detected. Accordingly, the electronic device (100) identifies that the first wearable device (200) is abnormally worn when the movement of the second wearable device (300) is within a preset allowable range and the movement of the first wearable device (200) exceeds the allowable range.

[0043] The allowable range can be determined in units of distance or angle. For example, the allowable range can be set to a range of 0 to 1 cm or a range of 0 to 10 degrees in any direction, but these are merely exemplary numerical ranges, and the allowable range can vary depending on the type, size, and wearing position of the wearable device. That is, although the above description compares the movements of the first and second wearable devices with the same allowable range, it is not necessarily limited thereto, and different allowable ranges can be compared for the first and second wearable devices.

[0044] As another example, there may be a situation where the second wearable device is not being worn, in which case the abnormality of wearing can be identified based on the movement patterns of the first wearable device. A movement pattern may be characteristic information about the direction, speed, or distance of movement over a certain period of time.

[0045] The electronic device (100) may pre-store movement patterns that may not be properly measured by sensing as abnormal patterns. For example, the abnormal patterns may include a pattern that continues to move at a high speed within a certain period of time based on the x-axis, a pattern that alternately and repeatedly rotates in the R and opposite directions within a certain period of time, etc. If the movement pattern acquired based on the first sensing data of the first wearable device corresponds to the abnormal pattern, the electronic device (100) may determine that the first wearable device is in an abnormally worn state.

[0046] While Figure 2 illustrates a method for determining whether a device is in an abnormal state based on movement-related information among sensing data, various other methods for determining abnormal states can be implemented. Other methods will be described in detail separately in the sections below.

[0047] FIG. 3 is a block diagram showing the configuration of an electronic device (100) and first and second wearable devices (200, 300) according to at least one embodiment of the present disclosure.

[0048] According to FIG. 3, the electronic device (100) includes a communication module (110), a memory (120), a processor (130), and a display module (140). The electronic device (100) may be implemented in various types as described above. The electronic device (100) may be described by various names such as a host device, a user terminal device, a body information management device, etc., but is hereinafter described as an electronic device (100).

[0049] The communication module (110) is a configuration for performing communication with various external devices, including the first and second wearable devices (200, 300). Since the communication module (110) includes circuits or antennas necessary for performing communication, it may be referred to as a communication circuit, a communication unit, or a communication part.

[0050] The memory (120) is a configuration for storing various programs, data, and instructions required for the operation of the electronic device (100). When the instructions or programs stored in the memory (120) are individually or collectively executed by the processor (130), they can perform operations according to various embodiments described in the present disclosure. Hereinafter, operations performed by instructions, programs, etc. may be understood as being performed by the processor (130), but are not necessarily limited thereto, and may also be performed by various control circuits and other configurations other than the processor (130).

[0051] The display module (140) is configured to display various screens.

[0052] The processor (130) is configured to perform various operations based on programs, data, instructions, etc. stored in the memory (120). When the processor (130) receives sensing data sensed from an external wearable device through the communication module (110), the processor (130) acquires various body information about the user's body based on the sensing data. The processor (130) controls the display module (140) to display a screen including the acquired body information.

[0053] A screen containing body information can be implemented in various layouts. The layout data can be stored in memory (120).

[0054] For example, physical information can be represented in graph form, as numbers or text, or as images. For example, when blood oxygen levels are within the normal range, an emoticon or image of a person smiling comfortably may be displayed alongside the blood oxygen level reading. When blood oxygen levels are within the low range, an emoticon or image of a person looking frustrated may be displayed alongside the blood oxygen level reading.

[0055] Additionally, the display color of body information may vary depending on the numerical range. For example, body information within the normal range may be displayed in green, while information within the risk range may be displayed in red.

[0056] For convenience of explanation, FIG. 3 depicts the electronic device (100) as including only a communication module (110), a memory (120), a processor (130), and a display module (140). However, the electronic device (100) may further include various detailed configurations depending on its type. These detailed configurations, as well as the types and examples of the communication module (110), the memory (120), the processor (130), and the display module (140), will be described in detail again in the following section.

[0057] The communication module (110) can communicate with the first wearable device (200) and the second wearable device (300) to receive first sensing data sensed by the first wearable device (200) and second sensing data sensed by the second wearable device (300), respectively.

[0058] The first and second wearable devices (200, 300) can obtain first and second sensing data, respectively, using their own sensors.

[0059] According to FIG. 3, the first wearable device (200) includes a communication module (210), a memory (220), a plurality of sensors (230-1 to 230-n), and a processor (240).

[0060] The communication module (210) is configured to communicate with various external devices including an electronic device (200).

[0061] The memory (220) is configured to store various programs, data, and instructions necessary for the operation of the first wearable device (200).

[0062] The plurality of sensors (230-1 to 230-n) are sensors for sensing the characteristics of the user's body in various ways. Specifically, the plurality of sensors (230-1 to 230-n) may be implemented with at least one or more of various sensors, such as a PPG sensor (photo-plethysmography sensor), a GSR sensor (Galvanic skin response sensor), an ECG sensor (Electrocardiogram sensor), an acceleration sensor, a gyro sensor, a geomagnetic sensor, an IMU, a temperature sensor, and a fingerprint sensor.

[0063] If the first sensor (230-1) among these is implemented as a PPG sensor, the data sensed by the first sensor (230-1) can be used to obtain various body information such as heart rate, respiration rate, and blood oxygen concentration. The PPG sensor (230-1) includes a light emitting unit that emits light and a light receiving unit that receives light emitted from the light emitting unit and reflected from blood vessels inside the user's body. The light emitting unit may include a plurality of light sources that emit a plurality of lights having different wavelengths. Specifically, the light emitting unit may include at least one red LED, one green LED, one infrared LED, and the like. The light receiving unit may be a single photodiode. The light receiving unit may be arranged at a predetermined angle with respect to the light emitting unit. For example, the light receiving unit may be arranged at an angle of approximately 60 degrees with respect to the first light source included in the light emitting unit, and may be arranged at an angle of approximately 95 degrees with respect to the second light source. However, the present invention is not limited to the above-described angles and may be arranged at various angles.

[0064] Meanwhile, if the second sensor (230-2), which is one of the plurality of sensors (230-1 to 230-n), is implemented as a GSR sensor, the processor (240) can detect a change in current due to the moisture of the user's skin based on the sensing data sensed by the GSR sensor (230-2). Accordingly, when the skin moisture changes due to the action of the sympathetic nervous system, the processor (240) can detect this using the GSR sensor (230-2) and determine whether the user is in a stress state, a drowsy state, etc. The GSR sensor is configured to be electrically connected to a skin contact terminal exposed to a part of the first wearable device (200) that comes into contact with the user's body.

[0065] Additionally, the third sensor (230-3) may be implemented as an ECG sensor. The ECG sensor is used not only to measure the rate and consistency of heartbeats, but also to examine the size and location of the heart and any damage to the heart. The ECG sensor can also be used to measure and diagnose abnormal heart rhythms. The ECG sensor is also configured to be electrically connected to the skin contact terminal exposed on the part of the first wearable device (200) that comes into contact with the user's body.

[0066] In addition, the sensors of the first wearable device (200) may be composed of various types.

[0067] The processor (240) performs various sensing operations based on programs, data, and instructions stored in the memory (220). The processor (240) activates a plurality of sensors (230-1 to 230-n) to acquire various sensing data from the user's body. The processor (240) transmits the acquired sensing data to the electronic device (100) via the communication module (210).

[0068] According to FIG. 3, the second wearable device (300) includes a communication module (310), a memory (320), a plurality of sensors (330-1 to 330-m), a processor (340), and a display module (350).

[0069] The communication module (310) is configured to communicate with various external devices including an electronic device (200).

[0070] The memory (320) is configured to store various programs, data, and instructions necessary for the operation of the second wearable device (300).

[0071] The plurality of sensors (330-1 to 330-m) are sensors for sensing the characteristics of the user's body in various ways. Since the sensors (330-1 to 330-m) of the second wearable device (300) can also be implemented in various forms like the first wearable device, a duplicate description thereof will be omitted. However, the sensors of the two wearable devices are not necessarily all identical, and some sensors may be added or excluded depending on the size or specifications of the wearable device.

[0072] The processor (340) performs various sensing operations based on programs, data, and instructions stored in the memory (320). The processor (340) activates a plurality of sensors (330-1 to 330-m) to acquire various sensing data from the user's body. The processor (340) transmits the acquired sensing data to the electronic device (100) via the communication module (310).

[0073] The display module (350) displays various screens under the control of the processor (340). If the second wearable device (300) is a watch, the display module (350) is arranged on the front of the main body of the watch (200). The display module (350) displays screens with various layouts depending on its size and shape. For example, it may normally display a watch screen, but when the user touches the display module (350) or other buttons, it may display a different screen. The processor (340) may also directly detect the user's body information based on at least some of the sensing data sensed by the plurality of sensors (330-1 to 330-m). If an abnormality is detected in the body information as a result of the detection, the processor (340) may control the display (350) to display a notification screen regarding the condition. However, it is not necessarily limited thereto, and the processor (340) may receive a control signal through the communication module (310) to display a notification screen when an abnormality is detected in the electronic device (100) after transmitting the sensing data to the electronic device (100). In this case, the processor (340) controls the display module (350) to display the notification screen according to the control signal.

[0074] As described above, each wearable device (200, 300) transmits first and second sensing data corresponding to the characteristics of the user's body using its own sensor. The processor (130) of the electronic device (100) can receive the first and second sensing data through the communication module (110). In FIG. 3, an example in which two wearable devices (200, 300) are used is illustrated, but the number of wearable devices may be three or more, in which case the processor (130) can receive various sensing data from each wearable device.

[0075] When the processor (130) of the electronic device (100) receives the first and second sensing data, it stores the same in the memory (120). The processor (130) can identify the wearing state of at least one of the first and second wearable devices (200, 300) based on the first and second sensing data.

[0076] When the processor (130) identifies that both the first and second wearable devices (200, 300) are normally worn, the processor (130) can obtain at least one piece of body information about the user's body based on the first and second sensing data.

[0077] Specifically, if the processor (130) includes PPG values ​​or ECG values ​​among the first and second sensing data, it can collate such data and convert them into a single sensing data, and then detect the above-described body information based on the converted sensing data. Collation can be performed in various ways. For example, the average value, RMS (Root Means Square) value, maximum value, minimum value, etc., obtained by summing and dividing sensor values ​​measured at the same time, and then the extracted values ​​can be collated by time to obtain sensing data, and then body information can be detected based on the sensing data.

[0078] Alternatively, the processor (130) may detect heart rate, blood oxygen concentration, stress level, body temperature, etc. based on each of the sensing data transmitted from each wearable device (200, 300), and then calculate the average, maximum, minimum, etc. of the detected body information to obtain final body information. In other words, it may be collected at the information level rather than the data level.

[0079] Alternatively, if the sensing cycles of each wearable device (200, 300) are different and do not overlap, the processor (130) may collect all sensing data of each wearable device (200, 300) and then obtain final body information based on the sensing data. For example, if the first wearable device (200) transmits sensing data every 10 minutes and the second wearable device (300) transmits sensing data every few seconds or minutes, the data sensed by each device (200, 300) may be data at different points in time. Therefore, the processor (130) can secure more sensing data than when using the sensing data of a single wearable device. Accordingly, more accurate body information can be obtained. The sensing cycle of each wearable device (200, 300) may be set differently for each sensor, may be changed according to user settings, and sensing may be performed only when a user command is manually input.

[0080] As described above, the processor (130) corrects the sensing data acquired when the wearable device is worn abnormally. While FIG. 2 illustrates a method for determining whether the wearable device is worn abnormally based on the movement of the second wearable device (300) and the movement of the first wearable device (200), various other methods are also possible. These methods are described in detail below.

[0081] In the above, it has been described that the processor (130) acquires body information by considering the corrected first sensing data together with the second sensing data, and displays a screen including the same using the display module (140), but various additional operations may be performed in addition to the display.

[0082] Specifically, if some of the body information is at a risk level, the processor (130) may perform an emergency communication function, in addition to simply displaying the body information. For example, if the blood oxygen concentration acquired by considering the corrected first sensing data and the second sensing data is identified as being below the normal range of 90% and is identified as gradually decreasing, the processor (130) may automatically transmit a text message or messenger, etc. to an emergency contact (e.g., a hospital, police station, emergency center, etc.) or a guardian contact stored in the memory (120). Alternatively, the processor (130) may loudly output an alarm signal using a speaker provided in the electronic device (100).

[0083] Fig. 4a is a diagram showing an example of first and second sensing data. In Fig. 4a, the upper graph (41) is a waveform graph of a PPG signal (hereinafter, referred to as a first PPG signal) among the first sensing data sensed by the first wearable device (200), and the lower graph (42) is a waveform graph of a PPG signal (hereinafter, referred to as a second PPG signal) among the second sensing data sensed by the second wearable device (300).

[0084] The processor (130) compares each of the first PPG signal (41) and the second PPG signal (42) with a preset threshold (th). The threshold may be set to a numerical value that is not sensed in a normal wearing state. That is, if water or soap, etc. exist between the ring (200) and the finger, which interferes with sensing, or if the ring (200) is not properly contacted when taken off and put on, or if the contact surface of the ring (200) is turned to the upper surface of the finger instead of the lower surface of the finger, the sensing value becomes lower than when it is normally in contact with the lower surface of the finger. Therefore, the manufacturer of the ring (200) may set a reference value that can specify such cases as the threshold (th) and store it in the memory (120).

[0085] According to FIG. 4A, the second PPG signal (42) is measured higher than the threshold (th) throughout the entire section, but the first PPG signal (41) is measured lower than the threshold (th) in the section between t1 and t2. If the processor (130) identifies a section between t1 and t2 that is lower than the threshold (th) among the first PPG signals (41), it can determine that the first wearable device (200) is abnormally worn in the corresponding section. The processor (130) corrects the first PPG data in the corresponding section.

[0086] In Fig. 4a, a case in which abnormal wearing is identified by comparing with a threshold or a threshold range at the sensing data level is illustrated and described, but abnormal wearing may also be identified by comparing with a threshold or a threshold range at the body information level acquired based on the sensing data.

[0087] Specifically, the processor (130) can identify the blood oxygen concentration based on the first sensing data. If the identified blood oxygen concentration falls outside a preset threshold range, the processor (130) can determine that the first wearable device (200) is in an abnormal wearing state. Blood oxygen concentration may vary slightly from person to person, and the value may drop slightly during sleep, but the normal range is generally known to be 95 to 100%. In the range of 90 to 95%, symptoms of hypoxia may appear, and if it falls below 90%, breathing may become difficult. A threshold range (e.g., 90% or less) may be determined based on this numerical range and stored in advance in the memory (120). However, since unique characteristics may differ from person to person, the processor (130) may also update the threshold range, etc. based on the user's blood oxygen concentration in normal times.

[0088] Figure 4b illustrates a method for determining whether or not a device is worn abnormally by directly comparing first and second sensing data. Figure 4b illustrates the PPG signal as an example among the sensing data.

[0089] Since the first and second wearable devices (200, 300) are in different contact positions with the body, and the types and performances of the sensors built into each wearable device (200, 300) may be different, the average levels or peak sizes of the first PPG signal (41) and the second PPG signal (42) may be measured differently. However, if the same person wears them normally, even if the first and second wearable devices (200, 300) are in different wearing positions, the cycles or patterns of the first and second PPG signals may be measured similarly. That is, when compared in graph form, the slopes of the first and second PPG signals may appear similar. Therefore, the difference between the first and second PPG signals is maintained within a preset range. This range is referred to as an error range in the present disclosure.

[0090] The error range can be specified as a numerical range or as a percentage. For example, if the difference between the first and second PPG signals exceeds 20%, the first wearable device may be identified as being in an abnormal wearing state.

[0091] The error range may be preset through repeated experiments by the manufacturer or other parties of the wearable device (200, 300) or the electronic device (100) and stored in the memory (120). However, the present invention is not limited thereto, and the error range may be set differently for each user. That is, the average heart rate, average blood oxygen concentration, body temperature, etc. may differ for each user, and the deviation by body part may also be large. For a user with poor blood circulation, the difference between the body temperature measured at the wrist and the body temperature measured at the finger may be much greater than for a user with good blood circulation. Therefore, the processor (130) may set the error range individually for each user based on data accumulated since the start of use of the wearable device (200, 300) and store the error range in the memory (120).

[0092] According to FIG. 4b, the difference between the first and second PPG signals (41, 42) is maintained at approximately G1 until time t3, and then increases to G2 from time t3, and then maintains the difference at approximately G2 again from time t4. If the error range is set to be less than G2, the processor (130) can determine that the first wearable device is in an abnormal wearing state during the t3-t4 period.

[0093] In Fig. 4b, a case of comparison based on sensing data is illustrated, but the processor (130) may also compare based on body information acquired based on the sensing data.

[0094] For example, if the blood oxygen concentration measured using a second wearable device in the form of a watch is 98%, while the blood oxygen concentration measured using a first wearable device in the form of a ring is 80%, and the error range set between the two pieces of information is 5%, the processor (130) can determine that the first wearable device is in an abnormal wearing state because the difference value (18%) exceeds the error range.

[0095] Alternatively, in the case of FIG. 4A, the body information acquired based on sensing data may be compared with a threshold to determine whether the device is being worn abnormally. For example, if the threshold for blood oxygen concentration is set to 90% and the blood oxygen concentration measured using the first wearable device is 80%, the processor (130) may determine that the first wearable device is being worn abnormally.

[0096] Accordingly, the processor (130) corrects the first sensing data in the t3-t4 section.

[0097] As described above, correction can be performed in various ways. Specifically, the processor (130) may modify the first sensing data based on the second sensing data, or may delete a corresponding section of the first sensing data. Modifying the first sensing data based on the second sensing data includes not only modifying the first sensing data to a value identical or similar to that of the second sensing data, or replacing the first sensing data with the second sensing data of the same section, but also modifying the first sensing data to a pattern identical to the change pattern of the second sensing data. That is, since the first and second wearable devices (200, 300) are different in type, wearing position, sensor characteristics, etc., the first and second sensing data may not be measured to have the same value. For example, the average level or peak value of the first PPG signal in the first sensing data may be smaller or larger than the average level or peak value of the second PPG signal in the second sensing data. However, if they are worn on the same user's body, since the heart rate and blood oxygen concentration themselves are the same, the change patterns of the first PPG signal and the second PPG signal are measured to be the same or similar over time. Therefore, if the first wearable device (200) is identified as being in an abnormal wearing state in a section where the second PPG signal increases by 50% compared to the previous time, the first PPG signal can be corrected by increasing it by 50% identical to the increase rate of the second PPG signal. However, the present invention is not limited thereto, and the processor (130) can replace the first PPG signal with the second PPG signal of the corresponding section. This correction operation can be performed differently depending on the type of body information. For example, in the case of body temperature, there may be a difference in the measured value depending on the body part, but in the case of blood oxygen concentration, there may not be a large difference.Accordingly, the processor (130) can perform correction by adjusting the ratio of the first sensing data to obtain body temperature information and by modifying the first sensing data to a value identical to or similar to the second sensing data to obtain blood oxygen concentration.

[0098] Alternatively, the processor (130) may provide a calibration menu to induce proper wearing of the first wearable device (200) and then re-measure the first sensing data. Accordingly, corrected first sensing data may be obtained.

[0099] Figures 4a and 4b illustrate various methods for identifying states based on differences in sensing data. Sensing data can be detected in various forms depending on the type of sensor, measurement environment, measurement method, etc.

[0100] Figures 5a to 5c show another example of the difference in sensing data between normal and abnormal wearing.

[0101] FIGS. 5A to 5C illustrate the results of obtaining a PPG signal using a first wearable device (200) in the form of a ring including a PPG sensor and measuring a heart rate based on the PPG signal.

[0102] The PPG sensor can be activated and perform measurements at preset time intervals. For example, if measurements are set to be performed once every 10 minutes, the processor (240) of the first wearable device (200) senses PPG signals by operating the PPG sensor at 10-minute intervals starting from the hour based on time information counted by an internal timer or time information provided from the outside (e.g., 12:00, 12:10, 12:20, etc.).

[0103] When a variable such as movement occurs at the moment of measurement, the processor (240) attempts to re-measure after a certain period of time (for example, after 1 minute). If a variable also occurs during re-measurement, the processor (240) skips the measurement of the corresponding order and measures in the next order. In this case, the processor (240) determines the next order based on the initial measurement time, not the re-measurement time. For example, even if measurement fails at 12:10 and re-measurement is performed at 11 minutes, measurement is performed again at 12:20. However, this measurement method is only an example, and the measurement cycle, whether to re-measure, and the number of re-measurements can be set in various ways.

[0104] Fig. 5a shows raw data of a PPG signal measured when the first wearable device (200) is normally worn, and Fig. 5b shows raw data of a PPG signal measured when the first wearable device (200) is abnormally worn. Specifically, the S section in Fig. 5b corresponds to the abnormal wearing section.

[0105] In FIGS. 5A and 5B , the horizontal axis represents the measurement order, and the vertical axis represents the output of the PPG signal. One order is performed at intervals of a certain time (e.g., 20 seconds). The processor (240) can sense the PPG signal multiple times during the time interval corresponding to one order. FIGS. 5A and 5B illustrate a case where the PPG signal is sensed at a rate of approximately 25 times per second.

[0106] In FIGS. 5A and 5B, the lower drawings are enlarged graphs of the graphs (51, 52) of the upper drawings during the S section. Comparing FIGS. 5A and 5B, it can be seen that when the first wearable device (200) is normally worn, the sensing value of the PPG sensor has a mostly positive value, but when it is abnormally worn, there are many cases where it has a negative value.

[0107] In addition, referring to Fig. 5b, it can be seen that the range of change in each measurement order is much larger in the abnormally worn state (S section).

[0108] When acquiring data (51, 52) such as those in FIGS. 5A and 5B, the processor (130) of the electronic device (100) can measure the rate of change of the data, and if it is above a threshold rate, determine that it is in an abnormally worn state, and if it is below the threshold rate, determine that it is in a normal worn state. In addition to the rate of change, the data size itself can also be compared to determine whether it is in an abnormally worn state.

[0109] Fig. 5c illustrates an example of a UI screen indicating a heart rate among biometric data measured based on PPG data measured in normal and abnormal sections. According to Fig. 5c, the electronic device (100) can display biometric information measured based on data received from the first wearable device (200) and the second wearable device (300) through the display module (140). In Fig. 5c, biometric information (61) measured over time is listed in the UI screen (60). The processor (130) can additionally display a tag (62) for user notification for biometric information estimated to have been measured in abnormal sections (e.g., 54 bpm, 55 bpm). When a user touches the tag (62), the processor (130) may additionally display an estimated value of the wearing state of the first wearable device (200) or the second wearable device (300) at the time of measurement, or sensing data received from each of the devices (200, 300). However, the configuration of this UI screen is merely an example and is not necessarily limited thereto.

[0110] The electronic device (100) of FIG. 3 may further include various detailed configurations depending on its implementation example. FIG. 6 is a block diagram illustrating an example of a detailed configuration of an electronic device according to at least one embodiment of the present disclosure.

[0111] According to FIG. 6, in a network environment, an electronic device (100) may communicate with another electronic device via a first network (e.g., a short-range wireless communication network), or may communicate with at least one of another electronic device or a server via a second network (e.g., a long-range wireless communication network). According to one embodiment, the electronic device (100) may communicate with other electronic devices via a server.

[0112] According to one embodiment, the electronic device (100) includes a communication module (110), a memory (120), a processor (130), a display module (140), an input module (150), an audio output module (160), a battery (171), a power management module (172), an audio module (181), a sensor module (182), a haptic module (183), a camera module (184), an interface (185), a connection terminal (186), a subscriber identification module (187), and an antenna module (188).

[0113] In some embodiments, the electronic device (100) may omit at least one of these components (e.g., the connection terminal (186)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (182), the camera module (184), or the antenna module (188)) may be integrated into a single component (e.g., the display module (140)).

[0114] The processor (130) may, for example, execute software (e.g., a program (190)) to control at least one other component (e.g., a hardware or software component) of the electronic device (100) connected to the processor (130) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (130) may store commands or data received from other components (e.g., a sensor module (182) or a communication module (110)) in a volatile memory (121), process the commands or data stored in the volatile memory (121), and store result data in a non-volatile memory (122).

[0115] According to one embodiment, the processor (130) may include a main processor (131) (e.g., a central processing unit or an application processor) or a secondary processor (132) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (131). For example, when the electronic device (100) includes the main processor (131) and the secondary processor (132), the secondary processor (132) may be configured to use less power than the main processor (131) or to be specialized for a given function. The secondary processor (132) may be implemented separately from the main processor (131) or as a part thereof. In FIG. 6, the main processor (131) and the secondary processor (132) are each illustrated as one, but each processor may be implemented in a different number.

[0116] The auxiliary processor (132) may control at least a portion of functions or states associated with at least one component (e.g., a display module (140), a sensor module (182), or a communication module (110)) of the electronic device (100), for example, on behalf of the main processor (131) while the main processor (131) is in an inactive (e.g., sleep) state, or together with the main processor (131) while the main processor (131) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (132) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (184) or a communication module (110)). In one embodiment, the auxiliary processor (132) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models.

[0117] An artificial intelligence model can be generated through machine learning. Such learning can be performed, for example, in the electronic device (100) itself where the artificial intelligence model is executed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include a plurality of artificial neural network layers. The artificial neural network can be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. An artificial intelligence model may additionally or alternatively include a software structure in addition to a hardware structure.

[0118] The memory (130) can store various data used by at least one component (e.g., a processor (130) or a sensor module (182)) of the electronic device (100). The data can include, for example, software (e.g., a program (190)) and input data or output data for commands related thereto. The memory (130) can include a volatile memory (121) or a non-volatile memory (122).

[0119] The program (190) may be stored as software in the memory (130) and may include, for example, an operating system (193), middleware (192), or an application (191).

[0120] The input module (150) can receive commands or data to be used in a component of the electronic device (100) (e.g., a processor (130)) from an external source (e.g., a user) of the electronic device (100). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0121] The audio output module (160) can output audio signals to the outside of the electronic device (100). The audio output module (160) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0122] The display module (140) can visually provide information to an external device (e.g., a user) of the electronic device (100). The display module (140) may include, for example, a display, a holographic device, or a projector, and a control circuit for controlling the device. In one embodiment, the display module (140) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch. In this case, the display module (140) may also be described as a touch display or a touch-sensitive display.

[0123] The audio module (181) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (181) can acquire sound through the input module (150), output sound through the sound output module (160), or an external electronic device (e.g., a speaker or headphones) directly or wirelessly connected to the electronic device (100).

[0124] The sensor module (182) can detect the operating status (e.g., power or temperature) of the electronic device (100) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (182) can include at least one of, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a geomagnetic sensor, an IMU (Inertial Measurement Unit), a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, and an illuminance sensor.

[0125] The interface (185) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (100) with an external electronic device (e.g., the electronic device (102)). In one embodiment, the interface (185) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0126] The connection terminal (186) may include a connector through which the electronic device (100) can be physically connected to an external electronic device. According to one embodiment, the connection terminal (186) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0127] The haptic module (183) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. In one embodiment, the haptic module (183) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0128] The camera module (184) can capture still images and videos. According to one embodiment, the camera module (184) may include one or more lenses, image sensors, image signal processors, or flashes.

[0129] The power management module (172) can manage power supplied to the electronic device (100). According to one embodiment, the power management module (172) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0130] The battery (171) can supply power to at least one component of the electronic device (100). In one embodiment, the battery (171) can include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell. The battery (171) can be implemented as a built-in type built into the electronic device (100) or as a detachable type.

[0131] The communication module (110) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (100) and an external electronic device, and the performance of communication through the established communication channel. The communication module (110) may operate independently from the processor (130) (e.g., an application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (110) may include a wireless communication module (111) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (112) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device via a first network (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a local area network or a wide area network)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (111) can verify or authenticate the electronic device (100) within a communication network such as the first network or the second network by using subscriber information (e.g., international mobile subscriber identity (IMSI)) stored in the subscriber identification module (187).

[0132] The wireless communication module (111) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimizing terminal power and connecting multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (111) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (111) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (111) can support various requirements specified in the electronic device (100), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., a second network). According to one embodiment, the wireless communication module (111) can support a peak data rate (e.g., 20 Gbps or more) for realizing eMBB, a loss coverage (e.g., 164 dB or less) for realizing mMTC, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for realizing URLLC.

[0133] The antenna module (188) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (188) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (188) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as a first network or a second network, may be selected from the plurality of antennas, for example, by the communication module (110). A signal or power may be transmitted or received between the communication module (110) and an external electronic device via the selected at least one antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (188).

[0134] According to various embodiments, the antenna module (188) may form a mmWave antenna module. According to one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band.

[0135] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0136] According to one embodiment, commands or data may be transmitted or received between the electronic device (100) and external electronic devices via a server connected to a second network. Each external electronic device may be of the same or a different type as the electronic device (100). Alternatively, the external electronic device may be a wearable device (200, 300) of FIG. 1.

[0137] According to one embodiment, all or part of the operations executed by the electronic device (100) may be executed by external electronic devices. For example, when the electronic device (100) needs to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (100) may, instead of executing the function or service itself or in addition, request one or more external electronic devices to perform the function or at least part of the service. The one or more external electronic devices that receive 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 transmit the result of the execution to the electronic device (100). The electronic device (100) may process the result as is or additionally and provide it as at least part of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technologies may be utilized, for example. The electronic device (100) may provide an ultra-low latency service by utilizing, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device may include an Internet of Things (IoT) device. The server may be an intelligent server utilizing machine learning and / or a neural network. In one embodiment, the external electronic device or server may be included within a second network. The electronic device (100) may be applied to intelligent services (e.g., smart homes, smart cities, smart cars, or healthcare) based on 5G communication technology and IoT-related technologies.

[0138] FIG. 6 is an example assuming that the electronic device (100) is implemented as a smartphone. If the electronic device (100) is implemented as a different type of device, some components of FIG. 6 may be omitted or added.

[0139] The processor (130) of FIG. 6 stores the first and second sensing data sensed by the first wearable device (200) and the second sensing data sensed by the second wearable device (300) in the memory (120) when each of the first and second sensing data is received through the communication module (110).

[0140] The processor (130) can identify the wearing state of at least one of the first wearable device and the second wearable device based on at least one of the first sensing data and the second sensing data. Specifically, the wearing state can be identified in various ways as described in FIGS. 2 to 5 , but is not limited thereto.

[0141] When the processor (130) identifies that the first wearable device is abnormally worn, it corrects the first sensing data. Based on the corrected first sensing data and second sensing data, the processor (130) obtains at least one piece of body information about the user's body.

[0142] Each of the first sensing data and the second sensing data sensed by the first and second wearable devices may include sensing data of an acceleration sensor, sensing data of a temperature sensor, sensing data of a PPG sensor, sensing data of a GSR (Galvanic skin response sensor), sensing data of an ECG (Electrocardiogram sensor), etc. The sensing data may also be referred to as a sensing value.

[0143] Alternatively, at least one of the first and second sensing data may include information identified based on such data. For example, at least one of heart rate, blood oxygen concentration, respiration rate, and stress index may be included in at least one of the first and second sensing data.

[0144] If at least one piece of information, such as heart rate, blood oxygen concentration, respiration rate, or stress index, is included in the sensing data, the processor (130) may utilize the data to obtain body information.

[0145] On the other hand, when sensing values ​​or sensing data of various sensors are received without including such information, the processor (130) obtains various body information based on the sensing data.

[0146] For example, the processor (130) can use a PPG signal among the sensing data. The PPG signal includes a sensing value of the PPG sensor. The PPG sensor includes a photodiode and an LED. When the LED emits green light toward the user's body, some of the light is absorbed by blood vessels and some is reflected. The photodiode measures the reflected light. The PPG signal includes data on changes in the intensity of light received by the photodiode. The processor (130) can measure how much of the light has been absorbed by the blood vessels based on the PPG signal. Specifically, the amount of blood flowing in the arteries changes periodically depending on the human heartbeat, and accordingly, the amount of light absorbed by the arteries also changes periodically. As a result, the reflected light measured by the PPG sensor has a pattern that changes depending on the heartbeat. The processor (130) extracts peaks within the PPG signal and then calculates the time interval (RR interval, RRI) between consecutive peaks. The processor (130) obtains the heart rate by counting how many times RRI appears for 60 seconds.

[0147] The processor (130) can also measure respiration rate using the PPG signal. Specifically, the processor (130) can measure respiration rate or respiration rate by performing FFT (Fast Fourier Transform) on the PPG signal.

[0148] The processor (130) can also measure blood oxygen concentration (or oxygen saturation) in a similar manner based on the PPG signal. Oxygen saturation represents the ratio of hemoglobin that is saturated with oxygen among the total hemoglobin in the blood vessels. Hemoglobin that is combined with oxygen has a bright red color, and hemoglobin that is separated from oxygen has a dark red color, so the absorption rate varies depending on the wavelength of light. Therefore, in order to measure blood oxygen concentration, the first and second wearable devices irradiate the body with two or more different wavelengths of light (e.g., red light and infrared light) and collect the reflected light to obtain sensing data. The processor (130) measures the absorbance of each of the red light and infrared light based on the sensing data to estimate the ratio of oxygenated hemoglobin to hemoglobin. The estimated value becomes oxygen saturation, i.e., blood oxygen concentration.

[0149] The processor (130) may also detect the blood oxygen concentration measured during a time period when the user's movement is hardly detected as the blood oxygen concentration during sleep.

[0150] Additionally, the processor (130) can detect stress levels. Under stress, the body becomes tense and agitated, leading to symptoms such as a rapid heartbeat. Therefore, stress levels can be measured by measuring subtle changes in heart rate. The more stressed a person is, the more irregular their breathing becomes and the lower their heart rate variability (HRV).

[0151] The processor (130) measures heart rate and respiration rate as described above, checks their change patterns over a certain period of time, and then calculates heart rate variability (HRV) based on the measured values ​​to estimate a stress index. Meanwhile, people under stress tend to have more frequent and unstable hand movements. Accordingly, the movements of the first and second wearable devices worn on the hands may be measured more frequently. The processor (130) may also calculate a stress index by considering the degree of such movement and even body temperature changes along with the heart rate variability.

[0152] These examples of physical information and their measurement methods are merely examples and are not necessarily limited thereto.

[0153] The processor (130) can obtain various body information depending on the type of sensor mounted on the first and second wearable devices, or the body part worn.

[0154] The processor (130) controls the display module (140) to display a screen including at least one piece of acquired body information.

[0155] As described above, calibration can be performed in a variety of ways. For example, a user can perform calibration using the calibration menu. The calibration menu allows the user to remeasure and correct at least a portion of the sensing data.

[0156] The processor (130) can control the display module (140) to automatically display a calibration screen when the first wearable device is identified as being worn abnormally.

[0157] Alternatively, the processor (130) may control the display module (140) to display a calibration screen when a user command to use the calibration function is input.

[0158] Alternatively, the processor (130) may control the display module (140) to display a calibration screen when a preset cycle has arrived, when a certain amount of time has passed since the first sensing data was detected to contain an error, or when the electronic device (100) has been turned off after being turned off.

[0159] Figure 7 illustrates an example of a calibration screen. Figure 7 illustrates a case where a user selects the calibration menu while checking body information and executes the calibration function.

[0160] According to FIG. 7, the processor (130) can control the display module (140) to display a screen (710) for checking blood oxygen concentration during sleep among body information. When a user selects a health management application among the applications installed on the electronic device (100), the processor (130) controls the display module (140) to display the initial execution screen of the application. The initial execution screen includes a menu for checking various body information about the user, and when the user selects the menu for checking blood oxygen concentration during sleep among these, a screen (710) as shown in FIG. 7 can be provided.

[0161] The screen (710) displays blood oxygen concentration information acquired based on sensing data sensed by the first wearable device and the second wearable device (200, 300). Fig. 7 illustrates a case where a graph (711), text (712), and a calibration menu (713) indicating blood oxygen concentration are included in the screen (710).

[0162] In this state, when the user selects the calibration menu (713), the processor (130) controls the display module (140) to display a calibration screen (720) including a posture guide (721). The posture guide (721) may be information such as a picture, photo, video, or text that guides the user to properly wear the wearable device. In the calibration screen (720) of FIG. 7, a posture guide (721) that guides the user to properly wear the first wearable device in the form of a ring is illustrated, but the posture guide (721) may be changed to a guide for other devices such as a watch or glasses, depending on the type of wearable device.

[0163] The user can select the execution menu (722) after properly wearing the first wearable device (100) while looking at the posture guide (721). When the execution menu (722) is selected, the processor (130) transmits a control signal to cause the first wearable device (100) to perform re-measurement of the user's body. The processor (130) controls the display module (140) to display a screen (730) indicating the degree of performance while the first wearable device (100) performs the re-measurement. In Fig. 7, a new posture guide (731) indicating a state in which the first wearable device is properly worn and text (732) indicating the degree of performance (or rate, speed, etc.) are displayed. In Fig. 7, a case in which it is displayed as text (732) is illustrated, the degree of performance may also be provided to the user in the form of various visual objects such as a bar graph or a circular graph, or a voice message.

[0164] When the re-measurement is completed and new first sensing data is received from the first wearable device (200), the processor (130) re-acquires the blood oxygen concentration during sleep based on the new first sensing data, replacing at least a portion of the existing first sensing data. If second sensing data also exists, the blood oxygen concentration during sleep can be re-acquired by considering both the new first sensing data and the second sensing data.

[0165] If the reacquired body information is within the acceptable range (a), the processor (130) controls the display module (140) to display a screen (740) including text (741) indicating that calibration has been completed normally and a completion menu (742). When the completion menu (742) is selected, the processor (130) may perform actions such as returning to the previous screen or terminating the execution of the corresponding application and terminating the display of the execution screen.

[0166] On the other hand, if the re-acquired body information is outside the allowable range or is not significantly different from the previously measured body information (b), the processor (130) controls the display module (140) to display a screen (750) including text (751) indicating the re-measured body information, a re-measurement menu (752) for performing re-calibration, and a completion menu (753) for terminating calibration. When the re-measurement menu (752) is selected, the processor (130) controls the display module (140) to display the calibration screen (720) again.

[0167] In Fig. 7, the remeasured body information (e.g., under 90%) is shown as text (751) indicating that it is similar to the previously measured body information (e.g., Under 90% for 8h 20m 43s, Lowest 76%), but it may also be expressed as an image or graph other than text.

[0168] FIG. 7 illustrates a case where a calibration screen (720) is provided when a user directly selects a calibration menu (713). However, as described above, the processor (130) may automatically provide a calibration screen when the first wearable device is determined to be in an abnormal wearing state. In this case, the second screen (720) of FIG. 7 may be displayed immediately.

[0169] Meanwhile, in FIG. 7, a method for the electronic device (100) to correct the first sensing data using the calibration function has been described, but the correction can be performed in various other ways. For example, in the case of blood oxygen concentration, there may not be a significant difference even if the measurement site within the body changes. Accordingly, if the second wearable device (300) is normally worn, the first sensing data may be corrected based on the second sensing data measured by the second wearable device (300), or the blood oxygen concentration information obtained based on the first sensing data may be corrected based on the blood oxygen concentration information obtained based on the second sensing data.

[0170] Specifically, the processor (130) stores the second sensing data sensed by the second wearable device or the blood oxygen concentration identified based on the sensing data as reference data in the memory (120). If the processor (130) identifies that the first wearable device is abnormally worn, the processor (130) may correct the first sensing data or the blood oxygen concentration identified based on the first sensing data to the same or similar value or correct it at the same or similar ratio based on the reference data stored in the memory (120). Even if the blood oxygen concentration identified based on the first sensing data is out of a preset threshold range, the processor (130) may correct the identified blood oxygen concentration based on the reference data stored in the memory (120).

[0171] FIG. 8 is a flowchart illustrating a method for sensing body information in an electronic device according to at least one embodiment of the present disclosure. According to FIG. 8, the electronic device receives and stores first sensing data and second sensing data from a first wearable device and a second wearable device, respectively (S810).

[0172] If the second wearable device is removed from the user's body, only the first sensing data may be received from the first wearable device.

[0173] The electronic device identifies whether the first wearable device is abnormally worn based on at least one of the received first sensing data and second sensing data (S820). The identification method may be implemented in various ways depending on the embodiment.

[0174] For example, when both the first and second wearable devices are worn and both the first and second sensing data are received, the electronic device compares the first sensing data and the second sensing data. If the difference between the first sensing data and the second sensing data exceeds a preset error range as a result of the comparison, it can be determined that the first wearable device is abnormally worn. The error range is not limited to a numerical range but can also be determined as a ratio. Since this has been specifically explained in FIG. 4B described above, a duplicate explanation will be omitted.

[0175] The electronic device may directly compare the first and second sensing data, but is not limited thereto, and may also determine whether the first wearable device is worn normally by comparing body information or movement information obtained from each of the first and second sensing data.

[0176] For example, as described in FIG. 2, the electronic device identifies movements of each of the first wearable device and the second wearable device based on each of the first and second sensing data.

[0177] As a result of the identification, if the movement of the first wearable device exceeds the allowable range (i.e., moves more than a certain distance or angle) while the movement of the second wearable device is within a preset allowable range (e.g., barely moving), the electronic device can identify that the first wearable device is being worn abnormally.

[0178] As another example, as described in FIG. 2, the electronic device may identify a movement pattern of the first wearable device based on first sensing data received from the first wearable device and then check whether it corresponds to a previously stored abnormal pattern.

[0179] As another example, the electronic device may determine whether data correction of the first wearable device is necessary based on the movement pattern of the second wearable device.

[0180] If both the first and second wearable devices are worn on the same user's body (e.g., hand), the first and second wearable devices move together according to the user's movements, and thus, similar movement patterns should be detected. For example, if the first wearable device is a ring and the second wearable device is a watch, repetitive movements such as rubbing hands when the user washes their hands can be detected.

[0181] However, if the first wearable device is a ring, foreign substances such as water or soap may come into contact with the ring body while the user wearing the ring washes their hands. Specifically, they may come into contact with the contact surface between the ring and the user's finger. In this case, the ring's sensing data may contain errors. If the user briefly removes the ring and washes their hands, sensing may not occur at all, resulting in the detection data being unavailable or containing errors.

[0182] On the other hand, if the second wearable device is a watch, there's less risk of contact with foreign substances while washing hands, and the user is less likely to remove the watch. Therefore, sensing data can be captured more accurately than with a ring.

[0183] Accordingly, if the movement pattern of the second wearable device corresponds to the movement pattern when performing a hand washing action, the electronic device can identify that the first wearable device is in an abnormal wearing state.

[0184] In the above, a method for detecting a hand-washing motion based on the movement of a second wearable device has been described, but it is not necessarily limited thereto, and an electronic device can detect a hand-washing motion in various ways.

[0185] For example, a user may directly check a hand washing action through an application related to hand washing on at least one of the electronic device (100) or the first and second wearable devices (200, 300). That is, the user may select a hand washing menu on a UI screen displayed on one of the electronic device (100), the first wearable device (200), and the second wearable device (300) before or after washing his or her hands. When the menu is selected, the electronic device (100) may determine that the hand washing action will be performed or has been performed.

[0186] As another example, the electronic device (100) may determine whether or not hand washing has occurred by using a temperature sensor among the sensors provided in the first wearable device (200) or the second wearable device (300). That is, when water comes into contact with the skin or the temperature sensor during the hand washing process, the temperature sensed by the temperature sensor may increase or decrease depending on the temperature of the water. If the temperature value sensed by the temperature sensor suddenly increases or decreases and then returns to the previous level after a certain period of time, the electronic device (100) may estimate that a hand washing operation has occurred during that period.

[0187] As another example, the electronic device (100) may determine whether or not hand washing has occurred by using a humidity sensor among the sensors provided in the first wearable device (200) or the second wearable device (300). That is, when approaching water to wash hands, the humidity value sensed by the humidity sensor suddenly increases. If the humidity value suddenly increases and then returns to the previous level after a certain period of time, the electronic device (100) may estimate that a hand washing action has occurred during that period.

[0188] In addition, abnormal wearing conditions can be identified in a variety of ways.

[0189] If the first wearable device is identified as being in an abnormal wearing state, the electronic device corrects the first sensing data (S830).

[0190] As described above, corrections can be made in various ways. For example, the electronic device can delete a portion of the first sensing data sensed during the time the first wearable device is determined to be abnormally worn, and acquire body information by considering the remaining portion of the first sensing data together with the second sensing data. Here, deletion can mean immediately discarding the data without storing it in the memory (120), or discarding it after storing it, and can also include cases where the data is stored in the memory (120) but not used to identify body information.

[0191] As another example, the first sensing data may be corrected using the calibration menu as described in FIG. 7, or the first sensing data may be corrected using second sensing data sensed by a second wearable device or body information acquired from the second sensing data as reference data.

[0192] Alternatively, the first sensing data may be compensated by replacing at least part of the first sensing data with the second sensing data.

[0193] The electronic device acquires body information based on the corrected first and second sensing data (S840). The types of body information and methods for acquiring them have been specifically described in the above section, so a detailed explanation will be omitted.

[0194] The electronic device can display the acquired body information (S850). If the electronic device does not include its own display, the body information can be transmitted to an external display via a communication session. Accordingly, the body information can also be displayed using an external display.

[0195] FIG. 9 is a flowchart illustrating a method according to another embodiment of the present disclosure. According to FIG. 9, when first and second sensing data are received (S910, S920), the electronic device calculates the difference between them (S930). The electronic device then determines whether the calculated difference is greater than the previously calculated difference by an error range or more (S940). To this end, the electronic device may pre-store the difference between the sensing data previously measured by the first and second wearable devices.

[0196] If the comparison result is less than the error range, body information is acquired using both the first and second sensing data (S960).

[0197] On the other hand, if the comparison result is determined to be greater than the error range, the electronic device checks the sensing data of other sensors equipped in the first wearable device (S950). For example, if the initially confirmed sensing data was a PPG signal, the electronic device can check the values ​​of an acceleration sensor, a temperature sensor, a GSR sensor (Galvanic skin response sensor), an ECG sensor (Electrocardiogram sensor), etc. The electronic device checks the reliability of the first sensing data based on the sensing data of the confirmed other sensors (S970).

[0198] Specifically, if the movement sensed by the acceleration sensor is not significantly different from the second sensing data or the body temperature information is similar, the first sensing data is determined to be a reliable value. On the other hand, if the second wearable device hardly moves but only the first wearable device is determined to have moved, or the body temperature information also suddenly drops, the first sensing data can be determined to be an unreliable value.

[0199] If the electronic device determines that the data is trustworthy, the electronic device acquires body information using both the first and second sensing data (S960). Conversely, if the data is not trustworthy, the electronic device may label the first sensing data as junk and acquire body information using only the second sensing data. However, labeling the first sensing data as junk is not required. The first sensing data may be discarded or updated by modifying it, and then the updated first sensing data may be considered together with the second sensing data to acquire body information.

[0200] The method of FIGS. 8 and 9 can be performed by the electronic device (100) described in FIGS. 3 to 7 described above, but is not necessarily limited thereto, and can also be performed by an electronic device having a different configuration.

[0201] As described above, the first wearable device (200) may be implemented in a ring shape. The ring may be manufactured in various shapes depending on the embodiment.

[0202] In addition, in the above-described embodiments, it has been described that the electronic device (100) receives the first and second sensing data from the first wearable device and the second wearable device (200, 300), corrects the data, and then acquires body information. However, body information may also be acquired directly from each wearable device.

[0203] FIG. 10 is a perspective view of a wearable device according to at least one embodiment of the present disclosure. FIG. 11 is a front view of the wearable device of FIG. 10. FIG. 12 is an exploded perspective view of the wearable device of FIG. 10. FIGS. 10 to 12 may be examples of the first wearable device described in FIGS. 1 to 8. For convenience of explanation, the wearable device is hereinafter referred to as a wearable device (200).

[0204] Although FIGS. 10 to 12 illustrate a ring shape, it is obvious to those skilled in the art that this structure can be applied to a bracelet type wearable device, an open ring type electronic device with a portion open, or a curved or non-curved electronic device.

[0205] Referring to FIGS. 10 and 11, the wearable device (200) may be formed in a ring shape including an opening (2001) therein. In one embodiment, the wearable device (200) may include a ring-shaped first housing (2100) (e.g., an outer ring housing, a first ring housing, or a first housing portion) and a ring-shaped second housing (2200) (e.g., an inner ring housing, a second ring housing, or a second housing portion) coupled to the first housing (2100) and including an opening (2001). An electric pad or an opening may be formed on the inner surface of the second housing (2200) so that at least one terminal of various sensors (230-1 to 230-n) may come into contact with a user's body. For example, a light-emitting portion of a PPG sensor (photo-plethysmography sensor) for measuring blood oxygen saturation (SpO2) may be exposed through a pair of first and second openings, respectively, and a light-receiving portion of the PPG sensor may be exposed through a pair of third openings. In addition, a pair of terminals of a GSR sensor (Galvanic skin response sensor) may be exposed through a fourth opening. In addition, although not shown in the drawing, the first housing (2100) may have an opening formed through which a terminal of an ECG sensor (Electrocardiogram sensor) may be exposed, and an opening formed through which a charging terminal for charging a battery (2300) may be exposed.

[0206] In one embodiment, the opening (2001) may be formed to be sized to fit a user's finger through it.

[0207] In one embodiment, the wearable device (200) may include at least one protrusion (2201) protruding from the second housing (2200) toward the opening (2001). In one embodiment, the at least one protrusion (2201) may be arranged in an internal space of the wearable device (200) and may have a shape that is advantageous for detecting an external environment or contacting a user's skin. In some embodiments, the at least one protrusion (2201) may be used as a means for preventing the wearable device (200) from being arbitrarily rotated on a finger.

[0208] According to one embodiment, the wearable device (200) may include at least one electrical element disposed in a space between the first housing (2100) and the second housing (2200). In one embodiment, the at least one electrical element may include sensors (230-1 to 230-n) disposed to detect user's biometric information through at least a portion of the second housing (2200), a communication module (210), a memory (220), and a processor (240). The operation of these components is described in detail in FIG. 3, and specific examples and detailed configurations of these components can be equally applied to the contents described in FIG. 6 described above, and therefore, a duplicate description thereof will be omitted.

[0209] In one embodiment, the substrate (e.g., substrate (2400) of FIG. 12) may include a flexible printed circuit board (FPCB) having a bendability to correspond to the curvature of the wearable device (200). According to one embodiment, the wearable device (200) may further include a display module (250). The display module (250) may be positioned so as to be visible from the outside through a portion (e.g., an outer circumferential surface) of the first housing (2100). In one embodiment, the wearable device (200) may further include an indicator, such as an LED, that may provide visual output information to a user. In some embodiments, the indicator may replace the display module (250). In one embodiment, the area of ​​the display module (250) may be formed over the entire surface of the first housing (2100). In one embodiment, the wearable device (200) may include at least one speaker (not shown) for providing auditory output information to the user. In one embodiment, the wearable device (200) may include a haptic module for providing tactile output information to the user.

[0210] Referring to FIG. 12, a wearable device (200) may include a first housing (2100), a second housing (2200) coupled with the first housing (2100), and a battery (2300) disposed between the first housing (2100) and the second housing (2200). In one embodiment, the wearable device (200) may include a substrate (2400) disposed between the first housing (2100) and the second housing (2200) and including a plurality of electrical elements. In one embodiment, the substrate (2400) may include a flexible printed circuit board (FPCB) having flexibility to correspond to the curvature of the wearable device (200). In some embodiments, the substrate (2400) may include a substrate or a plurality of hard type printed circuit boards (PCBs) that include a hard type region having a width and length that are not affected by the curvature of the first housing (2100) and / or the second housing (2200). In one embodiment, the battery (2300) may be disposed between the first housing (2100) and the second housing (2200) in a manner that the battery (2300) is spaced apart from the substrate (2400) by a predetermined distance, and may be electrically connected to the substrate (2400) via a cable. In one embodiment, the battery (2300) may be formed to have a curved shape so as to have substantially the same curvature as the curvature of the first housing (2100). In some embodiments, the battery (2300) may be positioned between the first housing (2100) and the second housing (2200) in a shape having a curvature different from the curvature of the first housing (2100) and / or the curvature of the second housing (2200).

[0211] In one embodiment, the first housing (2100) may be formed of a metal material, ceramic, or PC material. In one embodiment, the second housing (2200) may be formed of a molding material and may be joined to the first housing (2100) through a molding process. In one embodiment, the second housing (2200) may include a first molding layer (2210) arranged to cover at least a portion of the battery (230) and a second molding layer (2220) that covers the first molding layer (2210) and is joined to the first housing (2100). In one embodiment, the first molding layer (2210) may be arranged to cover the entirety of the battery (2300) and at least partially contact the inner surface of the first housing (2100).

[0212] The ring structure described in FIGS. 10 to 12 may be employed as a configuration of the first wearable device (200) described in the various embodiments described above, but is not necessarily limited thereto, and the first wearable device (200) may be implemented as a ring of various other structures.

[0213] Meanwhile, the methods described as operations of the electronic device in the above-described embodiments may be performed directly by the first wearable device according to another embodiment.

[0214] FIG. 13 is a flowchart illustrating a method of sensing body information in a wearable device according to at least one embodiment of the present disclosure.

[0215] According to FIG. 13, when a sensing cycle arrives (S1310), the wearable device acquires sensing data using various sensors (S1320). The sensing cycle may be set by the user or may be set by default. The sensing cycle may be set differently for each wearable device and for each body information. For example, when the first and second wearable devices (200, 300) are used together as in FIG. 1, the sensing cycle for the blood oxygen concentration of the first wearable device (200) may be set to every 10 minutes, and the sensing cycle for the blood oxygen concentration of the second wearable device (200) may be set to every 10 seconds. On the other hand, the movement sensing cycle may be set equally every second. In addition to when a preset sensing cycle arrives, the wearable device acquires sensing data using the sensors even when the user manually inputs a sensing command.

[0216] Examples of sensing data and methods for obtaining them have been specifically described in the above section, so a duplicate explanation will be omitted.

[0217] The wearable device determines whether it is normally worn based on the sensed sensing data (S1330).

[0218] For example, a judgment can be made by comparing it to a threshold condition. A threshold condition can be defined as a reference value that determines whether the wearable device is being worn normally. In the case of Figure 4A, if a value lower than the threshold is measured, it can be determined that the threshold condition is not met.

[0219] Alternatively, judgments can be made based on pre-stored information about abnormal movements. For example, when repeatedly removing and putting back a ring or continuously turning it, information about the movement patterns measured from the ring can be preset as abnormal movement information and stored as a threshold condition.

[0220] In this case, the wearable device can determine that it is currently being worn abnormally if its own movement meets the threshold conditions.

[0221] If the wearable device is determined to be worn normally, the sensing data is stored (S1370). Conversely, if the wearable device is determined to be worn abnormally, the wearable device determines whether correction of the sensing data is possible (S1340).

[0222] For example, if reference data exists, the wearable device can calibrate the sensing data based on that reference data.

[0223] Reference data can be data sensed by another wearable device, or data previously sensed and stored by the wearable device itself. Specifically, blood oxygen concentration is expected to remain consistent, with no significant changes, unless the user's health suddenly deteriorates. Therefore, if data sensed during normal wear exists, corrections can be made based on that data.

[0224] Alternatively, if sensing data measured at the same time is received from another wearable device (e.g., a second wearable device), the wearable device may make corrections based on that sensing data.

[0225] If correction is determined to be possible, the wearable device corrects at least a portion of the sensing data (S1350). Conversely, if correction is determined to be impossible, the wearable device deletes the sensing data (S1360). As described above, deletion may encompass not only immediate disposal of the sensing data, but also non-storage and non-use of the data after storage.

[0226] In addition to data sensed while abnormally worn, wearable devices can also delete data unnecessary for identifying body information, such as noise or duplicate measurements.

[0227] The wearable device stores the updated sensing data, which has been corrected or deleted (S1370). When a situation arises where the wearable device needs to transmit the sensing data to an electronic device or other external device (S1380), the wearable device transmits the sensing data using a communication module (S1390).

[0228] Meanwhile, if the wearable device's processor is capable of analyzing sensing data to obtain body information, the wearable device can directly obtain body information based on the sensing data. In this case, if sensing data from another wearable device is received, the wearable device can also consider that sensing data to obtain body information.

[0229] Additionally, if the wearable device further includes a display module or speaker module capable of displaying body information, the wearable device may inform the user of the body information by visually displaying the body information or outputting it as an audio message.

[0230] The method described in FIG. 13 can be performed in the first wearable device (200) illustrated in FIG. 3, but is not necessarily limited thereto, and may also be performed in another form of wearable device in which various configurations are added, deleted, or modified.

[0231] Meanwhile, according to another embodiment of the present disclosure, an operation such as determining the wearing state of a wearable device based on sensing data and correcting the data may be performed by a second wearable device in addition to the first wearable device or electronic device.

[0232] FIG. 14 is a flowchart illustrating a method for sensing body information in a wearable device according to another embodiment of the present disclosure.

[0233] The wearable device in FIG. 14 may be the second wearable device mentioned in the various embodiments described above, but is not necessarily limited thereto, and may be the first wearable device or another wearable device.

[0234] According to FIG. 14, the wearable device receives sensing data from an external device (S1410) and, using its own sensors, senses characteristics corresponding to body information (S1420). Characteristics corresponding to body information may include changes in oxygen concentration within blood vessels, the amount of light absorbed by blood vessels, etc. The external device may be the first wearable device described above.

[0235] The wearable device stores the received sensing data and the directly sensed sensing data (S1430). Based on the stored sensing data, the wearable device determines whether the external device is normally worn (S1440). The specific determination method has already been described in Figures 1 through 8 above, so a detailed explanation will be omitted.

[0236] If the wearable device determines that the external device is worn abnormally, it corrects at least some of the first sensing data sensed by the external device (S1450). The specific correction method has been described above, so a detailed explanation will be omitted.

[0237] When the wearable device determines that the external device is normally worn, it acquires body information using both the first sensing data sensed by the external device and the second sensing data sensed using its own sensor (S1460).

[0238] The wearable device displays a screen containing the acquired body information (S1470).

[0239] The method described in FIG. 14 can be performed by the second wearable device (300) illustrated in FIG. 3, but is not necessarily limited thereto, and may also be performed by another wearable device or other device having various configurations.

[0240] Above, we have described in detail how to obtain user body information using various wearable devices.

[0241] Electronic devices can collect sensing data sensed by multiple wearable devices while they are all worn normally, thereby obtaining more accurate and diverse body information.

[0242] For example, if the blood oxygen concentration measured by the first wearable device is 96% and the blood oxygen concentration measured by the second wearable device is 98%, the value between them, 97%, can be adopted as the blood oxygen concentration and provided to the user. However, this is merely an example, and if there is a difference between the first and second sensing data, either the larger or smaller value can be adopted.

[0243] Meanwhile, a user may only be wearing one wearable device. For example, if the user is wearing only a ring (200), the electronic device (100) checks whether the movement pattern of the ring (200) corresponds to a previously stored abnormal pattern (e.g., a pattern of repetitive reciprocating or rotating movement around the same axis). If an abnormal pattern is found, the electronic device (100) may delete the data measured from the ring (200) or correct it using previously stored data.

[0244] Deletion or modification can be determined differently depending on the body information. For example, in the case of heart rate, if it is identified as being worn abnormally, the corresponding data is deleted. On the other hand, blood oxygen concentration can be corrected based on the normally measured value or other reference data. Since blood oxygen concentration is maintained above 90% without significant changes unless there are special circumstances, if the pattern is similar to the previous one but the value is measured low, a correction can be performed to increase the value and the corrected data can be utilized. If there is information on blood oxygen concentration sensed using the watch (300), the data of the ring (200) can be corrected based on that information, and if there is only data of the ring (200), the calibration function described in FIG. 7 can be used for correction.

[0245] Meanwhile, as described above, the electronic device can determine whether or not a hand-washing action is being performed based on the movement information detected by the second wearable device (300). When washing hands, the ring (200) may not break due to its waterproof treatment, but water or soap may enter the part where the main body of the ring (200) and the user's body come into contact, which may affect the sensing. Therefore, when the electronic device detects a hand-washing action, the data measured by the ring (200) during that period may be deleted.

[0246] In the above, the first wearable device (200) is a ring and the second wearable device (300) is a watch. However, the first and second wearable devices do not necessarily have to be different types and may be devices of the same type. For example, the first and second wearable devices (200, 300) may both be rings. The user may wear the rings on different hands or may wear the rings on different fingers of one hand.

[0247] Additionally, in addition to rings and watches, various other wearable devices such as bracelets, necklaces, and glasses may be used.

[0248] When acquiring body information using multiple wearable devices, as described above, body information can be acquired at various points in time. The electronic device can also process the acquired body information to obtain various characteristic information.

[0249] For example, an electronic device can collect body temperature information measured by the first and second wearable devices to obtain a skin temperature cycle. Based on this cycle, the electronic device can predict the user's menstrual cycle. Alternatively, the electronic device can estimate whether the user is currently drowsy, awake, or asleep based on body information. If the electronic device detects drowsiness while driving, the electronic device can perform actions such as outputting an alarm signal to prevent accidents.

[0250] Alternatively, the electronic device may transmit the acquired body information to a server device, etc., to continuously manage the user's health status.

[0251] Although each embodiment has been described above, each embodiment may be implemented in whole or in part by being combined with at least one other embodiment of the present disclosure.

[0252] Meanwhile, the various embodiments described above may be implemented in a computer-readable recording medium or similar device using software, hardware, or a combination thereof. In some cases, the embodiments described herein may be implemented by the processor itself. In a software implementation, embodiments, such as the procedures and functions described herein, may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein.

[0253] Meanwhile, computer instructions for performing processing operations of an electronic device according to various embodiments of the present disclosure described above may be stored in a non-transitory computer-readable medium. When the computer instructions stored in such a non-transitory computer-readable medium are executed by a processor of a specific device, the computer instructions cause the specific device to perform processing operations in the electronic device according to various embodiments described above.

[0254] According to various embodiments of the present disclosure as described above, in an electronic device (100), a communication module (110) for performing communication with first and second wearable devices (200, 300) wearable on a user's body, a display module (140), a memory (120) for storing instructions, and at least one processor (130) including a processing circuit, when the instructions are individually or collectively executed by the at least one processor (130), when the first sensing data sensed by the first wearable device (200) and the second sensing data sensed by the second wearable device (300) are received through the communication module (110), the electronic device stores the first sensing data and the second sensing data in the memory (120), and when the first wearable device (200) is identified as being abnormally worn, corrects the first sensing data, and stores the corrected first sensing data in the memory (120). The display module (140) is controlled to acquire at least one piece of body information about the user's body based on the data and the second sensing data, and to display a screen including the acquired at least one piece of body information.

[0255] In an embodiment, the processor compares the first sensing data and the second sensing data, and if there is a difference exceeding a preset error range, the first wearable device is identified as being in an abnormally worn state.

[0256] Alternatively, the processor identifies the movement of each of the first wearable device and the second wearable device based on each of the first and second sensing data, and when the movement of the second wearable device is within a preset allowable range and the movement of the first wearable device exceeds the allowable range, identifies the first wearable device as being in the abnormally worn state.

[0257] Alternatively, the processor stores the blood oxygen concentration identified based on the second sensing data sensed by the second wearable device as reference data in the memory, and when the first wearable device is identified as being in the abnormally worn state, corrects the blood oxygen concentration identified based on the first sensing data based on the reference data previously stored in the memory.

[0258] Alternatively, the processor identifies a movement pattern of the first wearable device and a movement pattern of the second wearable device based on the first sensing data and the second sensing data, respectively, and corrects the first sensing data received from the first wearable device if at least one of the movement pattern of the first wearable device and the movement pattern of the second wearable device corresponds to an abnormal pattern previously stored in the memory.

[0259] Alternatively, if the blood oxygen concentration identified based on the received first sensing data falls outside a preset threshold range, the processor identifies the first wearable device as being in an abnormally worn state and corrects the identified blood oxygen concentration based on the reference data previously stored in the memory.

[0260] Alternatively, the processor controls the display module to display a calibration screen including a posture guide when the first wearable device is identified as being in the abnormally worn state.

[0261] In various embodiments of the present disclosure, the first wearable device is a ring-type electronic device wearable on a finger of the user's body, the second wearable device is a watch-type electronic device wearable on a wrist of the user's body, and each of the first sensing data and the second sensing data includes at least one of sensing data of an acceleration sensor, sensing data of a gyro sensor, sensing data of a geomagnetic sensor, sensing data of a temperature sensor, sensing data of a PPG sensor, sensing data of a GSR sensor, sensing data of an ECG sensor, heart rate, blood oxygen concentration, respiration rate, and stress index, and the abnormally worn state is a state in which the wearing position of the first wearable device is changed more than a preset number of times within a certain period of time, a state in which a contact surface of a sensor of the first wearable device contacts the user's body, a state in which a foreign substance contacts the main body of the first wearable device, and a state in which a foreign substance contacts the contact surface of the first wearable device and the user's body. Contains at least one condition.

[0262] According to one embodiment of the present disclosure, a method of an electronic device (100) for sensing body information includes an operation of receiving first sensing data and second sensing data from first and second wearable devices (200, 300) wearable on a user's body through a communication module (110) and storing the data in a memory (120), an operation of correcting the first sensing data when the first wearable device is identified as being abnormally worn, an operation of obtaining at least one body information about the user's body based on the corrected first sensing data and the second sensing data, and an operation of displaying a screen including the at least one body information.

[0263] According to an embodiment, the first wearable device may further include an operation of identifying the first wearable device as being in an abnormally worn state when the first sensing data and the second sensing data are compared and a difference exceeds a preset error range.

[0264] Alternatively, the method may further include an operation of identifying the movement of each of the first wearable device and the second wearable device based on each of the first and second sensing data, and an operation of identifying the first wearable device as being in an abnormally worn state when the movement of the second wearable device is within a preset allowable range and the movement of the first wearable device exceeds the allowable range.

[0265] Alternatively, the method further includes an operation of storing the blood oxygen concentration identified based on the second sensing data sensed by the second wearable device as reference data in the memory, and the operation of correcting the first sensing data may include an operation of correcting the blood oxygen concentration identified based on the first sensing data based on the reference data previously stored in the memory when the first wearable device is identified as being in the abnormally worn state.

[0266] Alternatively, the method may further include an operation of identifying a movement pattern of the first wearable device and a movement pattern of the second wearable device based on the first sensing data and the second sensing data, respectively, and an operation of identifying the first wearable device as being in the abnormally worn state if at least one of the movement pattern of the first wearable device and the movement pattern of the second wearable device corresponds to a pre-stored abnormal pattern.

[0267] Alternatively, the method further includes an operation of identifying the first wearable device as being in an abnormally worn state when the blood oxygen concentration identified based on the received first sensing data falls outside a preset threshold range.

[0268] Alternatively, the method further includes an operation of displaying a calibration screen including a posture guide when the first wearable device is identified as being in the abnormally worn state.

[0269] In a method according to various embodiments of the present disclosure, the first wearable device is a ring-type electronic device wearable on a finger of the user's body, the second wearable device is a watch-type electronic device wearable on a wrist of the user's body, and each of the first sensing data and the second sensing data includes at least one data selected from the group consisting of sensing data of an acceleration sensor, sensing data of a gyro sensor, sensing data of a geomagnetic sensor, sensing data of a temperature sensor, sensing data of a PPG sensor, sensing data of a GSR sensor, sensing data of an ECG sensor, heart rate, blood oxygen concentration, respiration rate, and stress index, and the abnormally worn state is a state in which the wearing position of the first wearable device is changed a preset number of times or more within a certain period of time, a state in which a contact surface of a sensor of the first wearable device contacts the user's body is changed, a state in which a foreign substance is in contact with the main body of the first wearable device, and a foreign substance is present on the contact surface between the first wearable device and the user's body. Contains at least one state among the contact states.

[0270] According to one embodiment of the present disclosure, a non-transitory readable recording medium storing a program for performing a method for providing body information includes an operation of receiving first sensing data and second sensing data from first and second wearable devices wearable on a user's body and storing the first sensing data in a memory, an operation of correcting the first sensing data when the first wearable device is identified as being abnormally worn, an operation of obtaining at least one body information about the user's body based on the corrected first sensing data and the second sensing data, and an operation of displaying a screen including the at least one body information.

[0271] The method may further include an operation of identifying the first wearable device as being in an abnormally worn state when a difference between the first sensing data and the second sensing data is greater than a preset error range, or when a movement of the second wearable device exceeds a preset allowable range while the movement of the first wearable device is within the preset allowable range.

[0272] Alternatively, the method may further include an operation of identifying a movement pattern of the first wearable device and a movement pattern of the second wearable device based on the first sensing data and the second sensing data, and an operation of identifying the first wearable device as being in an abnormally worn state if at least one of the movement pattern of the first wearable device and the movement pattern of the second wearable device corresponds to a pre-stored abnormal pattern.

[0273] The method may further include an action of displaying a calibration screen including a posture guide when the first wearable device is identified as being in the abnormally worn state.

[0274] Here, a non-transitory computer-readable medium refers to a medium that permanently stores data and can be read by a device, rather than a medium that stores data for a short period of time, such as a register, cache, or memory. Specific examples of non-transitory computer-readable media include CDs, DVDs, hard disks, Blu-ray discs, USBs, memory cards, and ROMs.

[0275] Although the preferred embodiments of the present disclosure have been illustrated and described above, the present disclosure is not limited to the specific embodiments described above, and various modifications may be made by a person having ordinary skill in the art to which the present disclosure pertains without departing from the gist of the present disclosure as claimed in the claims, and such modifications should not be understood individually from the technical idea or prospect of the present disclosure.

Claims

1. In an electronic device (100), A communication module (110) for performing communication with first and second wearable devices (200, 300) wearable on a user's body; Display module (140); Memory (120) for storing instructions; and At least one processor (130) comprising a processing circuit; When the above instructions are individually or collectively executed by at least one processor (130), The above electronic device, When the first sensing data sensed by the first wearable device (200) and the second sensing data sensed by the second wearable device (300) are received through the communication module (110), the first sensing data and the second sensing data are stored in the memory (120). When the first wearable device (200) is identified as being abnormally worn, the first sensing data is corrected, and at least one piece of body information about the user's body is acquired based on the corrected first sensing data and the second sensing data. An electronic device that controls the display module (140) to display a screen including at least one piece of body information obtained above.

2. In paragraph 1, The above processor, An electronic device that identifies the first wearable device as being in an abnormally worn state when the first sensing data and the second sensing data are compared and a difference exceeds a preset error range.

3. In paragraph 1, The above processor, Identifying the movement of each of the first wearable device and the second wearable device based on each of the first and second sensing data, An electronic device that identifies the first wearable device as being in an abnormally worn state when the movement of the second wearable device is within a preset allowable range and the movement of the first wearable device exceeds the allowable range.

4. In paragraph 1, The above processor, The blood oxygen concentration identified based on the second sensing data sensed by the second wearable device is stored in the memory as reference data, An electronic device that, when the first wearable device is identified as being in the abnormally worn state, corrects the blood oxygen concentration identified based on the first sensing data based on the reference data previously stored in the memory.

5. In paragraph 1, The above processor, Based on the first sensing data and the second sensing data, the movement pattern of the first wearable device and the movement pattern of the second wearable device are identified, respectively. An electronic device that corrects the first sensing data received from the first wearable device when at least one of the movement pattern of the first wearable device and the movement pattern of the second wearable device corresponds to an abnormal pattern previously stored in the memory.

6. In paragraph 4, An electronic device in which the processor identifies the first wearable device as being in an abnormally worn state when the blood oxygen concentration identified based on the received first sensing data falls outside a preset threshold range, and corrects the identified blood oxygen concentration based on the reference data previously stored in the memory.

7. In paragraph 1, The above processor, If the first wearable device is identified as being worn abnormally, An electronic device that controls the display module to display a calibration screen including a posture guide.

8. In any one of paragraphs 1 to 7, The above first wearable device is a ring-type electronic device that can be worn on the user's finger, The above second wearable device is a watch-type electronic device that can be worn on the wrist of the user's body, Each of the first sensing data and the second sensing data, Sensing data from an acceleration sensor, sensing data from a gyro sensor, sensing data from a geomagnetic sensor, sensing data from a temperature sensor, sensing data from a PPG sensor, Contains at least one of sensing data of a GSR sensor, sensing data of an ECG sensor, heart rate, blood oxygen concentration, respiration rate, and stress index. An electronic device in which the abnormally worn state includes at least one of a state in which the wearing position of the first wearable device changes a preset number of times within a certain period of time, a state in which the contact surface of the sensor of the first wearable device in contact with the user's body is changed, a state in which a foreign substance comes into contact with the main body of the first wearable device, and a state in which a foreign substance comes into contact with the contact surface between the first wearable device and the user's body.

9. In a method of an electronic device (100) for sensing body information, An operation of receiving first sensing data and second sensing data from first and second wearable devices (200, 300) wearable on a user's body through a communication module (110) and storing the same in a memory (120); An operation of correcting the first sensing data when the first wearable device is identified as being abnormally worn; An operation of acquiring at least one piece of body information about the user's body based on the corrected first sensing data and the second sensing data; and A method comprising: displaying a screen including at least one piece of body information; 10. In paragraph 9, A method further comprising an operation of identifying the first wearable device as being in an abnormally worn state when the first sensing data and the second sensing data are compared and a difference exceeds a preset error range.

11. In paragraph 9, An operation of identifying the movement of each of the first wearable device and the second wearable device based on each of the first and second sensing data; and A method further comprising: an operation of identifying the first wearable device as being in an abnormally worn state when the movement of the second wearable device is within a preset allowable range and the movement of the first wearable device exceeds the allowable range; 12. In paragraph 9, It further includes an operation of storing the blood oxygen concentration identified based on the second sensing data sensed by the second wearable device as reference data in the memory; The operation of correcting the above first sensing data is as follows: A method comprising an operation of correcting the blood oxygen concentration identified based on the first sensing data based on the reference data previously stored in the memory when the first wearable device is identified as being in the abnormally worn state.

13. In paragraph 9, An operation of identifying a movement pattern of the first wearable device and a movement pattern of the second wearable device based on the first sensing data and the second sensing data, respectively; and A method further comprising an operation of identifying the first wearable device as being in an abnormally worn state when at least one of the movement pattern of the first wearable device and the movement pattern of the second wearable device corresponds to a pre-stored abnormal pattern.

14. In paragraph 12, A method further comprising an operation of identifying the first wearable device as being in an abnormally worn state when the blood oxygen concentration identified based on the received first sensing data falls outside a preset threshold range.

15. In paragraph 9, If the first wearable device is identified as being worn abnormally, A method further comprising the action of displaying a calibration screen including a posture guide.

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