Wearable device, method, and non-transitory computer-readable storage medium for acquiring biometric information

Abstract

A wearable device comprises an optical sensor, a sensor memory, and at least one processor, wherein the at least one processor is configured to: control the optical sensor, on the basis of an input for measuring biometric information, to emit light by using an emitter; control the optical sensor to acquire information about reflected light by using a receiver; control the optical sensor to acquire, from the sensor memory, distance information about the distance between the emitter and the receiver; acquire the biometric information on the basis of the information about the reflected light and the distance information; and display the biometric information through a display.

Description

Wearable device, method, and non-transitory computer-readable storage medium for obtaining biometric information

[0001] The following descriptions relate to a wearable device, a method, and a non-transitory computer-readable storage medium for obtaining biometric information.

[0002] Wearable devices can provide health services. For example, wearable devices can use sensors to acquire biometric information about the user wearing the device. Based on this biometric information, wearable devices can provide health-related guidance, thereby providing health services.

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

[0004] A wearable device is provided. The wearable device may include an optical sensor including an emitter, a receiver, and a sensor memory. The wearable device may include a display. The wearable device may include a memory storing instructions and including one or more storage media. The wearable device may include at least one processor including a processing circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the optical sensor to emit light using the emitter based on an input for measuring biometric information. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the optical sensor to obtain information about reflected light using the receiver. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the optical sensor to obtain reference information about the light-emitting unit from the sensor memory. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain the biometric information based on the information about the reflected light and the reference information. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to display the biometric information through the display.

[0005] A method is provided. The method can be executed in a wearable device including an optical sensor including a light emitter, a light receiver, and a sensor memory. The method can include an operation of controlling the optical sensor to emit light using the light emitter based on an input for measuring biometric information. The method can include an operation of controlling the optical sensor to obtain information about reflected light using the light receiver. The method can include an operation of controlling the optical sensor to obtain reference information about the light emitter from the sensor memory. The method can include an operation of obtaining the biometric information based on the information about the reflected light and the reference information. The method can include an operation of displaying the biometric information through the display.

[0006] A non-transitory computer-readable storage medium is provided. The non-transitory computer-readable storage medium may store one or more programs. The one or more programs, when executed by a wearable device including an optical sensor having a light emitter, a light receiver, and a sensor memory, may include instructions that cause the wearable device to control the optical sensor to emit light using the light emitter based on an input for measuring biometric information. The one or more programs may include instructions that cause the wearable device to control the optical sensor to obtain information about reflected light using the light receiver. The one or more programs may include instructions that cause the wearable device to control the optical sensor to obtain reference information about the light emitter from the sensor memory. The one or more programs may include instructions that cause the wearable device to obtain biometric information based on the information about the reflected light and the reference information. The one or more programs may include instructions that cause the wearable device to display the biometric information through the display.

[0007] A wearable device may include an optical sensor including a light emitting unit, a light receiving unit, and a sensor memory, and at least one processor including a processing circuit, wherein the optical sensor may be configured to emit light using the light emitting unit, obtain information about reflected light using the light receiving unit, obtain reference information about the light emitting unit from the sensor memory, generate sensing data for generating biometric information based on the information about the reflected light and the reference information, and provide the sensing data to the at least one processor.

[0008] A method is provided. The method can be executed in an optical sensor including a light emitter, a light receiver, and a sensor memory. The method can include an operation of emitting light using the light emitter. The method can include an operation of obtaining information about reflected light using the light receiver. The method can include an operation of obtaining reference information about the light emitter from the sensor memory. The method can include an operation of generating sensing data for generating biometric information based on the information about the reflected light and the reference information. The method can include an operation of providing the sensing data to the at least one processor.

[0009] A non-transitory computer-readable storage medium is provided. The non-transitory computer-readable storage medium may store one or more programs. The one or more programs may include instructions that, when executed by an optical sensor including a light emitter, a light receiver, and a sensor memory, cause the optical sensor to emit light using the light emitter. The one or more programs may include instructions that cause the optical sensor to obtain information about reflected light using the light receiver. The one or more programs may include instructions that cause the optical sensor to obtain reference information about the light emitter from the sensor memory. The one or more programs may include instructions that cause the optical sensor to generate sensing data for generating biometric information based on the information about the reflected light and the reference information. The one or more programs may include instructions that cause the optical sensor to provide the sensing data to the at least one processor.

[0010] A wearable device comprises an optical sensor including a light emitting unit, a light receiving unit, and a sensor memory, a memory storing instructions and including one or more storage media, and at least one processor including a processing circuit, wherein the instructions, when individually or collectively executed by the at least one processor, cause the at least one processor to: obtain first sensing data from the optical sensor based on controlling the optical sensor to emit light having a wavelength within a first range within a first time interval for first biometric information; and request reference information in the sensor memory of the optical sensor to generate the first biometric information using the first sensing data; and obtain second sensing data from the optical sensor based on controlling the optical sensor to emit light having a wavelength within a second range within a second time interval for second biometric information; and refrain from requesting reference information in the sensor memory of the optical sensor to generate the second biometric information using the second sensing data.

[0011] A method is provided. The method can be executed in a wearable device including an optical sensor including a light emitter, a light receiver, and a sensor memory. The method can include an operation of obtaining first sensing data from the optical sensor based on controlling the optical sensor to emit light having a wavelength within a first range within a first time interval for first biometric information. The method can include an operation of requesting reference information in the sensor memory of the optical sensor to generate the first biometric information using the first sensing data within the first time interval for the first biometric information. The method can include an operation of obtaining second sensing data from the optical sensor based on controlling the optical sensor to emit light having a wavelength within a second range within a second time interval for second biometric information. The method can include an operation of suppressing a requesting reference information in the sensor memory of the optical sensor to generate the second biometric information using the second sensing data within the second time interval for the second biometric information.

[0012] A non-transitory computer-readable storage medium is provided. The non-transitory computer-readable storage medium may store one or more programs. The one or more programs may include instructions that, when executed by a wearable device including an optical sensor including a light emitter, a light receiver, and a sensor memory, cause the wearable device to obtain first sensing data from the optical sensor based on controlling the optical sensor to emit light having a wavelength within a first range within a first time interval for first biometric information. The one or more programs may include instructions that cause the wearable device to request reference information within the sensor memory of the optical sensor to generate the first biometric information using the first sensing data within the first time interval for the first biometric information. The one or more programs may include instructions that cause the wearable device to obtain second sensing data from the optical sensor based on controlling the optical sensor to emit light having a wavelength within a second range within a second time interval for the second biometric information. The one or more programs may include instructions that cause the wearable device to suppress requesting reference information in the sensor memory of the optical sensor to generate the second biometric information using the second sensing data.

[0013] In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

[0014] FIGS. 1A and 1B illustrate a wearable device according to one embodiment.

[0015] Figure 2 shows an example of a chart showing the relationship between substance concentration and absorbance.

[0016] Figures 3a and 3b illustrate examples of charts showing the error in antioxidant value according to LED light intensity deviation and distance deviation between the LED and PD.

[0017] Figure 4 illustrates an optical sensor according to one embodiment.

[0018] FIG. 5 is a simplified block diagram of a wearable device according to one embodiment.

[0019] FIGS. 6A and 6B are flowcharts illustrating a method for generating information for calibration of an optical sensor according to one embodiment.

[0020] FIG. 7a is a flowchart illustrating a method for generating corrected absorbance information according to one embodiment.

[0021] FIG. 7b is a flowchart illustrating a method for generating biometric information according to one embodiment.

[0022] FIG. 8 is a flowchart illustrating a method for obtaining biometric information according to one embodiment.

[0023] FIGS. 9A to 9E are flowcharts illustrating a method of displaying biometric information according to one embodiment.

[0024] Fig. 10 is a flowchart illustrating a method for generating biometric information according to one embodiment.

[0025] FIG. 11 is a flowchart illustrating a method for requesting or suppressing correction information for generating biometric information according to one embodiment.

[0026] FIG. 12 is a block diagram of an electronic device within a network environment according to various embodiments.

[0027] The terms used in this disclosure are used only to describe specific embodiments and may not be intended to limit the scope of other embodiments. The singular expression may include plural expressions unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by those of ordinary skill in the art described in this disclosure. Terms defined in general dictionaries among the terms used in this disclosure may be interpreted as having the same or similar meaning in the context of the relevant technology, and shall not be interpreted in an idealized or overly formal sense unless explicitly defined in this disclosure. In some cases, even if a term is defined in this disclosure, it cannot be interpreted to exclude embodiments of the present disclosure.

[0028] The various embodiments of the present disclosure described below illustrate a hardware-based approach as an example. However, since the various embodiments of the present disclosure include techniques utilizing both hardware and software, the various embodiments of the present disclosure do not exclude a software-based approach.

[0029] In addition, in the present disclosure, expressions such as "more than" or "less than" may be used to determine whether a specific condition is satisfied or fulfilled, but this is merely a description for expressing an example and does not exclude descriptions such as "more than" or "less than." A condition described as "more than" may be replaced with "more than," a condition described as "less than" may be replaced with "less than," and a condition described as "more than and less than" may be replaced with "more than and less than." In addition, hereinafter, "A" to "B" mean at least one of elements from A (including A) to B (including B). hereinafter, "C" and / or "D" mean at least one of "C" or "D," that is, including {"C", "D", "C" and "D"}.

[0030] Figures 1a and 1b illustrate a wearable device according to one embodiment.

[0031] Referring to FIGS. 1A and 1B , a wearable device (100) (e.g., electronic device (1202) of FIG. 12 ) may include a housing (102) including a first side (or front side) (110A), a second side (or back side) (110B), a side surface surrounding a space between the first side (110A) and the second side (110B), a key input device (103, 104, 105) disposed on the side surface, and a fastening member (106, 107) connected to at least a portion of the housing (102) and configured to releasably fasten the wearable device (100) to at least a portion of a user's body (e.g., a wrist, an ankle). For example, the first side (110A) may be formed by a front plate (e.g., a glass plate including various coating layers, or a polymer plate) at least partially transparent. The display (101) may be visually exposed, for example, through a significant portion of the front plate. The shape of the display (101) may correspond to the shape of the front plate, and may have various shapes such as a circle, an oval, or a polygon. The display (101) may be coupled to or disposed adjacent to a touch detection circuit, a pressure sensor capable of measuring the intensity (pressure) of a touch, and / or a fingerprint sensor. For example, the key input devices (103, 104) may include electrodes. Based on the combination of the electrodes of the key input device (103, 104) and the electrodes (108, 109) placed on the second side (110B) of the wearable device (100), an electrocardiogram, an electromyogram (EMG), an electroencephalogram, body impedance analysis (BIA), and electrodermal activity (EDR) can be measured.The optical sensor (110) may be placed on the second side (110B) of the wearable device (100) facing the user's skin (or in contact with the user's skin).

[0032] The operation of the wearable device described above can be described below. The wearable device described below can be implemented in various forms that can be worn by a user, such as a smartwatch, a smart band, a smart ring, wireless earphones, or smart glasses.

[0033] Figure 2 shows an example of a chart showing the relationship between substance concentration and absorbance.

[0034] The wearable device (100) can provide health services to a user wearing the wearable device (100). For example, the wearable device (100) can determine the user's antioxidant level based on the concentration of carotenoids accumulated in the user's skin. For example, the wearable device (100) can provide the user's antioxidant level to the user through a display (101). For example, the antioxidant level (value) can be referred to as an antioxidant status or antioxidant level (level).

[0035] Carotenoids can absorb light in the wavelength range of about 400 nm (nanometer) to 500 nm. To estimate the carotenoid concentration, an optical sensor (110) of a wearable device (100) can be used. More specifically, the optical sensor (110) can emit light to the user's body using a light emitting diode (LED) and a photodiode (PD) and receive reflected light for the emitted light. According to the Beer-Lambert law, the concentration of a substance can be proportional to the absorbance defined by the amount of light emitted from the LED and the amount of light received by the PD. For example, the Beer-Lambert law can be defined as in the following mathematical equation 1.

[0036]

[0037] The above mathematical formula 1 is merely an example to help understanding and is not limited thereto, and can be modified, applied, or expanded in various ways.

[0038]

[0039] The LED of the optical sensor (110) emits a specific amount of light (I o ) can be designed to emit light. The passage distance (d) of the light emitted from the LED to the user's skin can be related to the distance between the LED and the PD of the optical sensor (110). The distance between the LED and the PD can be designed to be spaced apart by a specific distance. Therefore, according to the Beer-Lambert law, the wearable device (110) can determine the absorbance proportional to the carotenoid concentration by measuring the amount of light received by the PD. For example, the passage distance (d) of Equation 1 can be identified based on the specific distance between the LED and the PD according to the design of the optical sensor (110). For example, the specific amount of light (I) of Equation 1 o) can be determined (or identified) in advance according to the design of the LED of the optical sensor (110). Therefore, the wearable device (100) can identify the passing light amount (I) of mathematical expression 1 using the amount of light received through the optical sensor (110). The wearable device (100) can identify the passing light amount (I) of mathematical expression 1 by using the amount of light received through the optical sensor (110). The wearable device (100) can identify the passing light amount (I) of mathematical expression 1 by using the amount of light received through the optical sensor (110). o ) and the amount of light passing through (I), the absorbance A of mathematical expression 1 (e.g., the amount of light absorbed by the skin of a user wearing the wearable device (100) within a wavelength range of about 400 nm to 500 nm) can be identified. For example, the wearable device (100) can obtain bio-information corresponding to the concentration of carotenoids in the skin of the user by applying the absorbance A to data expressed as in the chart (200).

[0040] The horizontal axis of the chart (200) represents the concentration of a substance (e.g., molarity), and the vertical axis of the chart (200) represents the absorbance. For example, the waveform (210) in the chart (200) may represent the relationship between the carotenoid concentration and the absorbance, which represents the amount of light absorbed by the user's skin. For example, the wearable device (100) may identify that the carotenoid concentration in the user's skin is about 0.055 based on identifying an absorbance of about 0.3. The wearable device (100) may obtain an antioxidant value (or status, level) corresponding to the carotenoid concentration of about 0.055. For example, the wearable device (100) may identify that the carotenoid concentration in the user's skin is about 0.115 based on identifying an absorbance of about 0.6. The wearable device (100) can obtain an antioxidant value corresponding to a carotenoid concentration of about 0.115.

[0041] As a non-limiting example, the LED of the optical sensor (110) is designed to emit a specific amount of light, but the amount of light emitted from the LED of the optical sensor (110) of the wearable device (100) may be offset (or may be offset) from the specific amount of light depending on the manufacturing process. For example, the deviation between the specific amount of light and the amount of light emitted from the LED of the optical sensor (110) may correspond to about 35%. As a non-limiting example, the designed distance between the LED and the PD is the specific distance, but the distance between the LED and the PD within the optical sensor (110) may be offset (or may be offset) from the specific distance depending on the manufacturing process (e.g., the soldering process for the PCB (printed circuit board) of the optical sensor (110). For example, the deviation between the specific distance and the distance between the LED and the PD within the optical sensor (110) may correspond to about 70 μm (micrometer).

[0042] As described above, during the manufacturing process of the optical sensor (110), a deviation in the amount of light of the LED and a deviation in the distance between the LED and the PD may occur. Due to the deviation in the amount of light and the deviation in the distance, for each optical sensor, the amount of light (I) emitted from the LED o ) and the distance (d) through which the light emitted from the LED passes through the user's skin may be different. The amount of light (I o ) and the passage distance (d) may differ for each optical sensor, so the bio-information (e.g., antioxidant level) provided by the wearable device (100) may not be consistent.

[0043] Figures 3a and 3b illustrate examples of charts showing the error in antioxidant value according to LED light intensity deviation and distance deviation between the LED and PD.

[0044] In the chart (310) illustrated in FIG. 3A, the horizontal axis represents the deviation in the amount of light emitted by the LED, and the vertical axis represents the maximum difference in the antioxidant value according to the deviation in the amount of light emitted by the LED. In one example, waveform (311) represents the maximum error in the antioxidant value according to the amount of light emitted by the LED in a subject range of about 95%. For example, when the deviation in amount of light between the first LED and the second LED is about 35%, the maximum difference between the antioxidant value measured based on the first LED and the antioxidant value measured based on the second LED can be explained as about 18.7 points. In another example, waveform (312) represents the maximum error in the antioxidant value according to the amount of light emitted by the LED in a subject range of about 99.7%. For example, when the deviation in amount of light between the third LED and the fourth LED is about 35%, the maximum difference between the antioxidant value measured based on the third LED and the antioxidant value measured based on the fourth LED can be explained as about 28 points.

[0045] In the chart (320) illustrated in FIG. 3B, the horizontal axis represents the distance deviation between the LED and the PD, and the vertical axis represents the maximum difference in the antioxidant value according to the distance deviation. In one example, waveform (321) represents the maximum error in the antioxidant value according to the distance deviation between the LED and the PD in about 95% of the subject range. For example, when the deviation between the first distance between the first LED and the first PD and the second distance between the second LED and the second PD is about 70 μm, the maximum difference in the respective measured antioxidant values ​​can be explained as about 5.3 points. In another example, waveform (322) represents the maximum error in the antioxidant value according to the distance deviation between the LED and the PD in about 99.7% of the subject range. For example, when the deviation between the third distance between the third LED and the third PD and the fourth distance between the fourth LED and the fourth PD is about 70 μm, the maximum difference in the respective measured antioxidant values ​​can be explained as about 7.9 points.

[0046] As described above, biometric information (e.g., antioxidant levels) may be obtained differently for each wearable device due to variations in the light intensity of the LED and the distance between the LED and the PD. Providing different results for each wearable device may result in a deterioration of the user experience (UX) of the health service. To solve this problem, a method of averaging the measured values ​​by using a plurality of LED-PDs (e.g., 118 LEDs, 152 PDs) has been proposed. However, using a plurality of LED-PDs increases the area, cost, and circuit complexity of the optical sensor (110) included in the wearable device (100). Therefore, below, a method and device for correcting errors that may occur for each optical sensor by using a relatively small number of LEDs and PDs are described.

[0047] FIG. 4 illustrates an example of an optical sensor according to one embodiment.

[0048] Referring to FIG. 4, the optical sensor (400) of FIG. 4 may correspond to the optical sensor (110) of FIG. 1B and / or the optical sensor (550) of FIG. 5, which will be described later. The optical sensor (400) may include a first surface (410) disposed on the rear surface (100B) of the wearable device (100) and a second surface (420) opposite the first surface (410).

[0049] In one embodiment, the first side (410) of the optical sensor (400) may include a plurality of light emitting diodes (LEDs) and a plurality of photodiodes (PDs). For example, the plurality of LEDs may include a first LED (411), a second LED (412), a third LED (413), and a fourth LED (414). For example, the plurality of PDs may include a first PD (415), a second PD (416), a third PD (417), and a fourth PD (418). Although the optical sensor (400) is illustrated in FIG. 4 as including four LEDs and four PDs, the present disclosure is not limited thereto. For example, the optical sensor (400) may include three or fewer LEDs. For example, the optical sensor (400) may include three or fewer PDs. For example, the plurality of LEDs of the optical sensor (400) may emit light of different wavelengths. For example, the band of light emitted by LEDs can be composed of various wavelengths such as blue, red, IR (infrared), yellow, and UV (ultraviolet). Although FIG. 4 illustrates an LED that emits light and a PD that receives light, the present disclosure is not limited thereto. The LED illustrated in FIG. 4 may be replaced with an emitter that emits light. For example, the LED may be replaced with a VCSEL (vertical cavity surface emitting laser). The PD illustrated in FIG. 4 may be replaced with a receiver that receives (or acquires) light. For example, the PD may be replaced with an image sensor.

[0050] In one embodiment, a second side (420) of the optical sensor (400), opposite to the first side (410) of the optical sensor (400), may include an integrated circuit (IC) (421) and a sensor memory (422). In one embodiment, the IC (421) may include at least one of an analog front end (AFE) or a power management integrated circuit (PMIC). In one embodiment, the IC (421) (e.g., the AFE) may be electrically connected to a plurality of LEDs, a plurality of PDs, the sensor memory (422), and a processor (510) of a wearable device (500) described below. In one embodiment, the sensor memory (422) may be a non-volatile memory that can maintain stored values ​​even when power is not supplied. For example, the sensor memory (422) may include at least one of a flash memory or an electrically erasable programmable read-only memory (EEPROM).

[0051] FIG. 5 is a simplified block diagram of a wearable device according to one embodiment.

[0052] Referring to FIG. 5, the wearable device (500) of FIG. 5 may correspond to the wearable device (100) of FIGS. 1A and 1B. The wearable device (500) may include a processor (510), a memory (520), a communication circuit (530), a display (540), and an optical sensor (550). Although FIG. 5 illustrates that the wearable device (500) includes only the optical sensor (550), the present disclosure is not limited thereto. For example, the wearable device (500) may further include an illuminance sensor for detecting the brightness of external light to control the brightness of the display (101), an inertial sensor for detecting inertia, a magnetic sensor for measuring direction, a barometric pressure sensor for estimating altitude by detecting air input, and a temperature sensor for measuring body temperature or the temperature of a component.

[0053] In one embodiment, the processor (510) may be operatively or operably coupled with or connected with a memory (520), a communication circuit (530), a display (540), and an optical sensor (550). For example, the processor (510) may control the memory (520), the communication circuit (530), the display (540), and the optical sensor (550). For example, the processor (510) may be composed of at least one processor. For example, the processor (510) may include at least one processor. For example, the at least one processor may include a central processing unit (CPU) (e.g., including a processing circuit). For example, at least one processor may further include a neural processing unit (NPU) (e.g., including processing circuitry), a graphic processing unit (GPU) (e.g., including processing circuitry), a display processing unit (DPU) (e.g., including processing circuitry), and / or a sensor hub (or sensor interface) (e.g., including processing circuitry). For example, the processor (510) may include a hardware component for processing data based on instructions.

[0054] In one embodiment, the processor (510) may control the operations of the wearable device (500) by executing instructions stored in the memory (520). For example, the processor (510) may correspond to multiple processors that collectively perform multiple operations by dividing them among the processors.

[0055] In one embodiment, the processor (510) may control the operation of the optical sensor (550). For example, the processor (510) may control the optical sensor (550) to emit light of a specific wavelength using a light emitting diode (LED) (553). For example, the processor (510) may control the optical sensor (550) to receive light (e.g., reflected light from light emitted from the LED (553)) using a photodiode (PD) (554).

[0056] In one embodiment, the processor (510) may process data obtained from the optical sensor (550). For example, the processor (510) may use the LED (553) to emit light toward a first reflector. For example, the processor (510) may use the PD (554) to obtain information about the reflected light (reflected light relative to the light emitted toward the first reflector). For example, the information about the reflected light may include information about the amount of light of the reflected light. For example, the processor (510) may obtain reference information about the LED (553) based on the information about the reflected light. For example, the reference information may represent an implemented amount of light emitted by the LED (553) that is offset from a designed amount of light emitted by the LED (553). For example, the processor (510) may use the LED (553) to emit light toward a second reflector. For example, the processor (510) can obtain information about reflected light (reflected light for light emitted toward the second reflector) using the PD (554). For example, the processor (510) can determine absorbance information based on reference information about the LED (553) and information about reflected light associated with the second reflector. For example, the absorbance information about the second reflector can include information about the distance between the LED (553) and the PD (554). For example, the distance information can represent a mounted distance between the LED (553) and the PD (554) that is offset from the designed distance between the LED (553) and the PD (554). For example, the absorbance information about the second reflector can be referred to as distance information. For example, the processor (510) may store calibration information for the optical sensor (550), including reference information for the LED (553) and distance information between the LED (553) and the PD (554), in the sensor memory (552).In a non-limiting example, the processor (510) may store the correction information in the memory (520). In a non-limiting example, the processor (510) may control the communication circuit (530) to store the correction information in a server (e.g., cloud) external to the wearable device (500).

[0057] In one embodiment, the processor (510) may process data obtained from the optical sensor (550). For example, the processor (510) may use the LED (553) to emit light toward at least a portion of the body of a user wearing the wearable device (500). For example, the processor (510) may obtain information about reflected light. For example, the processor (510) may obtain calibration information of the optical sensor (550) from the sensor memory (552). For example, the calibration information may include reference information about the LED (553) and distance information between the LED (553) and the PD (554). For example, the processor (510) may generate absorbance information based on the reference information about the LED (553) and the information about reflected light. For example, the absorbance information is, according to mathematical expression 1, information on reflected light (I) and reference information (I) on LED (553). o ) can be determined. For example, the processor (510) can generate calibrated absorbance information based on the absorbance information and the distance information. For example, the calibrated absorbance information (A`) can be generated by the absorbance information (A) and the distance information (A) according to the mathematical expression 2 described below. o) can be determined. For example, the processor (510) can obtain an algorithm for generating biometric information from the memory (520). In a non-limiting example, the processor (510) can obtain an algorithm for generating biometric information from the sensor memory (552). In a non-limiting example, the processor (510) can control the communication circuit (530) to obtain the algorithm for generating biometric information. For example, the processor (510) can generate biometric information based on the corrected absorbance information and the algorithm. For example, the processor (510) can control the display (540) to display the generated biometric information.

[0058] In one embodiment, memory (520) may be used to store information or data. For example, memory (520) may be used to store data acquired from a user. For example, memory (520) may correspond to memory (1230) of FIG. 12 . For example, memory (520) may include non-volatile memory. For example, memory (520) may include volatile memory. For example, memory (520) may include a computer-readable storage medium, such as a magnetic or optical disk. For example, memory (520) may store data acquired based on operations performed by processor (510). For example, memory (520) may store data (e.g., light intensity data) acquired by an optical sensor (550). For example, memory (520) may store an algorithm for generating biometric information. In a non-limiting example, the memory (520) may store calibration information of the optical sensor (550).

[0059] In one embodiment, the communication circuit (530) may correspond to at least a portion of the communication module (1290) of FIG. 12 . For example, the communication circuit (530) may be used for various radio access technologies (RATs). For example, the communication circuit (530) may be used to perform Bluetooth communication, wireless local area network (WLAN) communication (e.g., wireless fidelity (WiFi)), and / or cellular communication. For example, the processor (510) may establish a connection with an external electronic device (e.g., the electronic device (1201) of FIG. 12 ) via the communication circuit (530).

[0060] In one embodiment, the display (540) may be used to display various screens. For example, the display (540) may be used to output content, data, or signals through the screen. For example, the display (540) may display a screen processed by the processor (510). For example, the display (540) may correspond to the display (101) of FIG. 1 and / or the display module (1260) of FIG. 12.

[0061] In one embodiment, the optical sensor (550) may include an integrated circuit (IC) (551) (or sensor IC (551)), a sensor memory (552), an LED (553), and a PD (554). For example, the IC (551) may control the operation of the LED (553) and the PD (554). For example, the IC (551) may control the LED (553) to emit light of a specified wavelength based on instructions obtained from the processor (510). For example, the IC (551) may control the PD (554) to receive light. Although FIG. 5 illustrates the optical sensor (550) as including one LED (553), this is merely an example. For example, the LED (553) may include multiple LEDs. For example, LED (553) may correspond to LEDs (411, 412, 413, 414) illustrated in FIG. 4. In the present disclosure, if LED (553) includes multiple LEDs, LED (553) may be described as LEDs (553) or multiple LEDs (553). Although FIG. 5 illustrates that optical sensor (550) includes one PD (554), this is merely an example. For example, PD (554) may include multiple PDs. For example, PD (553) may correspond to PDs (415, 416, 417, 418) illustrated in FIG. 4. In the present disclosure, if PD (554) includes multiple PDs, PD (554) may be described as PDs (554) or multiple PDs (554).

[0062] In one embodiment, the optical sensor (550) may include a sensor memory (552). As described in FIG. 2, the implemented LED (553) of the optical sensor (550) is designed to emit a specific amount of light, but the amount of light emitted by the LED (553) may be offset from the specific amount of light during the manufacturing process. The LED (553) and the PD (554) of the optical sensor (550) are designed to be spaced a specific distance apart, but the distance between the LED (553) and the PD (554) may be offset from the specific distance during the manufacturing process. The optical sensor (550) may include a sensor memory (552) to store unique setting values ​​for correcting the above-described errors. For example, since the optical sensor (550) includes a separate memory (552), the unique setting values ​​of the optical sensor (550) may not be deleted according to an application update of the wearable device (500).

[0063] FIG. 6A is a flowchart illustrating a method for generating information for calibrating an optical sensor according to one embodiment. FIG. 6A describes a method for generating information for calibrating the light intensity deviation of a light emitting diode (LED) (553) and the distance deviation between the LED (553) and photodiodes (PDs) (554).

[0064] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0065] Referring to FIG. 6A, in one embodiment, at operation 601, the processor (510) may emit light toward the first reflector using an LED (553).

[0066] In one embodiment, the processor (510) may display a user interface (UI) for initiating calibration of the optical sensor (550) through the display (540). The processor (510) may obtain input for the UI through a touch-sensitive circuit of the display (540). Based on the obtained input, the processor (510) may emit light using the LED (553) of the optical sensor (550). For example, the processor (510) may emit light toward a first reflector using the LED (553). For example, the processor (510) may emit light having a specific wavelength toward the first reflector using the LED (553). The specific wavelength may be included in a wavelength range (e.g., about 400 nm to 500 nm) of a substance (e.g., carotenoid) that is a measurement object.

[0067] In one embodiment, a first reflector external to the wearable device (500) may be used to calibrate the light intensity deviation of the LED (553) of the optical sensor (550). For example, the first reflector may be spaced apart from the wearable device (500) based on a first designated distance (e.g., about 5 mm). For example, the distance between the first reflector and the wearable device (500) may be longer than the first designated distance. Since the first reflector is spaced apart from the wearable device (500) by a greater distance than the second reflector described below, the PDs (554) may receive the light reflected by the first reflector relatively evenly. For example, the first reflector may include an achromatic color (e.g., white, gray) to provide a more even reflectivity.

[0068] In operation 602, the processor (510) may obtain reference information for the LED (553) using the PDs (554). For example, the reference information for the LED (553) may represent the light-emitting capability of the LED (553) implemented in the optical sensor (550). For example, the reference information may represent the implemented light emission amount of the LED (553) offset from the designed light emission amount of the LED (553).

[0069] In one embodiment, the processor (510) may receive light reflected by the first reflector using the PDs (554). For example, the processor (510) may obtain information about the reflected light (reflected light relative to light emitted toward the first reflector) based on the amount of reflected light measured by the PDs (554). For example, the processor (510) may obtain reference information about the LED (553) based on the information about the reflected light. For example, the processor (510) may obtain reference information about the LED (553) by averaging the amounts of reflected light measured by the PDs (554). Since the first reflector provides relatively uniform reflected light to the PDs (554), the reference information about the LED (553) may represent the amount of emitted light implemented in the LED (553).

[0070] In operation 603, the processor (510) may store reference information for the LED (553) in the sensor memory (552). In a non-limiting example, the processor (510) may store reference information for the LED (553) in the memory (520) of the wearable device (500). In another non-limiting example, the processor (510) may control the communication circuit (530) to store reference information for the LED (553) in a server (e.g., cloud) external to the wearable device (500).

[0071] In operation 604, the processor (510) may emit light toward the second reflector using the LED (553). For example, the wavelength of the light emitted from the LED (553) in operation 640 may be substantially the same as the wavelength of the light emitted from the LED (553) in operation 601.

[0072] In one embodiment, a second reflector external to the wearable device (500) may be used to calibrate a distance difference between the LED (553) and the PD (554) of the optical sensor (550). For example, the second reflector may be spaced apart from the wearable device (500) based on a second specified distance (e.g., about 2 mm). For example, the distance between the second reflector and the wearable device (500) may be less than the second specified distance. For example, the distance between the second reflector and the wearable device (500) may be less than the distance between the first reflector and the wearable device (500). For example, the second reflector may be formed of an opaque material (e.g., silicone) having a transflective property. In a non-limiting example, the first reflector and the second reflector may be identical. For example, a wearable device can obtain information about reflected light by changing the distance between the wearable device and a reflector.

[0073] In operation 605, the processor (510) may obtain distance information between the LED (553) and the PDs (554) using the PDs (554). For example, the distance information between the LED (553) and the PDs (554) may include information related to the distance between the LED (553) mounted on the optical sensor (550) and the PDs (554). For example, the distance information may include information for correcting a light amount error according to the distance between the LED (553) mounted on the optical sensor (550) and the PDs (554). For example, the distance information may represent a mounted distance between the LED (553) and the PDs (554) that is offset from a designed distance between the LED (553) and the PDs (554).

[0074] In one embodiment, the processor (510) may receive light reflected by the second reflector using the PDs (554). For example, the processor (510) may obtain information about the reflected light (reflected light for light emitted toward the second reflector) based on the amount of reflected light measured by the PDs (554). For example, the processor (510) may obtain information about the reflected light by averaging the amount of reflected light measured by the PDs (554). For example, the processor (510) may obtain absorbance information about the second reflector based on the reference information of the LED (553) and the obtained information about the reflected light. For example, the absorbance information may be reference information (I o) and the information (I) about the reflected light, can be determined according to mathematical expression 1. Since the second reflector is spaced closer to the wearable device (500) than the first reflector described above, the amount of reflected light received by the PDs (554) can change rapidly depending on the change in the distance between the LED (553) and the PDs (554). Therefore, the distance information can include information related to the distance between the LED (553) mounted on the optical sensor (550) and the PDs (554). For example, the absorbance information for the second reflector can be referred to as distance information.

[0075] In operation 606, the processor (510) may store distance information between the LED (553) and the PDs (554) in the sensor memory (552). In a non-limiting example, the processor (510) may store the distance information in the memory (520) of the wearable device (500). In another non-limiting example, the processor (510) may control the communication circuit (530) to store the distance information in a server (e.g., cloud) external to the wearable device (500).

[0076] FIG. 6B is a flowchart illustrating a method for generating information for calibrating an optical sensor according to one embodiment. FIG. 6B describes a method for generating information for compensating for light quantity deviations of light emitting diodes (LEDs) (553) and distance deviations between LEDs (553) and photodiodes (PDs) (554). For example, the LEDs (553) may correspond to the LEDs (411, 412, 413, 414) of FIG. 4. For example, the PDs (554) may correspond to the PDs (415, 416, 417, 418) of FIG. 4.

[0077] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0078] Referring to FIG. 6B, in operation 611, the processor (510) may store reference information about the first LED (411) and distance information between the first LED (411) and the PDs (554) in the sensor memory (552), which are associated with the first LED (411). The reference information and the distance information may be obtained by light of a first wavelength emitted by the first LED (411). For example, the reference information and the distance information associated with the first LED (411) may be obtained in a first time interval by the method illustrated in FIG. 6A.

[0079] In operation 612, the processor (510) may store reference information about the second LED (412) and distance information between the second LED (412) and the PDs (554) in the sensor memory (552), which are associated with the second LED (412). The reference information and the distance information may be acquired by light of a second wavelength emitted by the second LED (412). For example, the second wavelength may be different from the first wavelength. For example, the reference information and the distance information associated with the second LED (412) may be acquired in a second time interval by the method illustrated in FIG. 6A.

[0080] In operation 613, the processor (510) may store reference information about the third LED (413) and distance information between the third LED (413) and the PDs (554) in the sensor memory (552), which are associated with the third LED (413). The reference information and the distance information may be acquired by light of a third wavelength emitted by the third LED (413). For example, the third wavelength may be different from the first wavelength and the second wavelength. For example, the reference information and the distance information associated with the third LED (413) may be acquired in the third time interval by the method illustrated in FIG. 6A.

[0081] In operation 614, the processor (510) may store reference information about the fourth LED (414) and distance information between the fourth LED (414) and the PDs (554) in the sensor memory (552), which are associated with the fourth LED (414). The reference information and the distance information may be acquired by light of a fourth wavelength emitted by the fourth LED (414). For example, the fourth wavelength may be different from the first wavelength to the third wavelength. For example, the reference information and the distance information associated with the fourth LED (414) may be acquired in the fourth time interval by the method illustrated in FIG. 6B.

[0082] In one embodiment, the first to fourth wavelengths may be different from each other. For example, the first to fourth wavelengths may have different wavelengths within the wavelength range (e.g., about 400 nm to 500 nm) of the substance (e.g., carotenoid) being measured.

[0083] FIG. 7A is a flowchart illustrating a method for generating calibrated absorbance information according to one embodiment. FIG. 7A illustrates an exemplary method for generating calibrated absorbance information using a light emitting diode (LED) (553) and photodiodes (PDs) (554).

[0084] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0085] Referring to FIG. 7A, in operation 701, the processor (510) may emit light using an LED (553).

[0086] In one embodiment, the processor (510) may display a user interface (UI) (e.g., object (913) of FIG. 9A) for initiating measurement of biometric information through the display (540). The processor (510) may obtain input for the UI using a touch-sensitive circuit of the display (540). Based on the input for the UI, the processor (510) may emit light using an LED (553). For example, the processor (510) may emit light toward at least a part of the body (e.g., wrist, forearm) of a user wearing the wearable device (500) using the LED (553). For example, the processor (510) may emit light having a specific wavelength using the LED (553). The specific wavelength may be within the wavelength range (e.g., about 400 nm to 500 nm) of the substance (e.g., carotenoid) that is the measurement object.

[0087] In operation 702, the processor (510) can obtain information about reflected light using the PDs (554).

[0088] In one embodiment, the processor (510) may receive reflected light using the PDs (554). For example, the processor (510) may receive reflected light for light emitted from the LED (553). For example, the processor (510) may obtain a reflected light amount based on the received reflected light. The processor (510) may obtain reflected light information based on the obtained reflected light amount. For example, the processor (510) may obtain reflected light information by averaging the reflected light amounts obtained by the PDs (554). For example, the processor (510) may obtain reflected light information based on an average value of the reflected light amount obtained from the first PD (415), the reflected light amount obtained from the second PD (416), the reflected light amount obtained from the third PD (417), and the reflected light amount obtained from the fourth PD (418).

[0089] In operation 703, the processor (510) may obtain reference information about the LED (553) from the sensor memory (552). The reference information may represent an amount of light emitted implemented in the LED (553) that is offset from the amount of light emitted designed for the LED (553). In a non-limiting example, the processor (510) may obtain the reference information about the LED (553) from the memory (520) of the wearable device (500). In another non-limiting example, the processor (510) may control the communication circuit (530) to obtain the reference information about the LED (553) from an external server.

[0090] In operation 704, the processor (510) may generate absorbance information based on the reflected light information and the reference information for the LED (553). For example, the reference information may represent the amount of emitted light implemented in the LED (553). The reference information may be an incident light amount (I) for generating the absorbance information. o) can be used. For example, information about reflected light can represent the amount of reflected light reflected by the user's body. The reflected light information can be used as the amount of passing light (I) to generate absorbance information. For example, the processor (510) can generate reference information (I) for the LED (553). o ) and reflected light information (I), absorbance information can be generated according to mathematical formula 1.

[0091] In operation 705, the processor (510) may obtain distance information between the LED (553) and the PDs (554) from the sensor memory (522). For example, the distance information may include information associated with the distance between the LED (553) and the PDs (554) mounted on the optical sensor (550). For example, the distance information may represent a mounted distance between the LED (553) and the PDs (554) that is offset from a designed distance between the LED (553) and the PDs (554). In a non-limiting example, the processor (510) may obtain the distance information from the memory (520) of the wearable device (500). In another non-limiting example, the processor (510) may control the communication circuit (530) to obtain reference information about the LED (553) from an external server.

[0092] In operation 706, the processor (510) may generate information on calibrated absorbance based on the absorbance information and the distance information. For example, the processor (510) may generate information on calibrated absorbance according to the following mathematical expression 2.

[0093]

[0094] The above mathematical formula 2 is merely an example to aid understanding and is not limited thereto, and can be modified, applied, or expanded in various ways.

[0095] A` can represent the corrected absorbance. A can represent the absorbance for the user's body. A0 can represent distance information. α and β can represent correction factors.

[0096] FIG. 7B is a flowchart illustrating a method for generating biometric information according to one embodiment. In FIG. 7B, an exemplary method for generating biometric information is described using light emitting diodes (LEDs) (553) and photodiodes (PDs) (554). For example, the LEDs (553) may correspond to the LEDs (411, 412, 413, and 414) of FIG. 4. For example, the PDs (554) may correspond to the LEDs (415, 416, 417, and 418) of FIG. 4.

[0097] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0098] Referring to FIG. 7B, in operation 711, the processor (510) may generate (or obtain) corrected absorbance information associated with light of a first wavelength. The corrected absorbance information associated with light of the first wavelength may be obtained by the method illustrated in FIG. 7A, in a first time interval, using a first LED (411) that emits light of the first wavelength.

[0099] At operation 712, the processor (510) may generate (or obtain) corrected absorbance information associated with light of a second wavelength. The corrected absorbance information associated with light of a second wavelength may be obtained by the method illustrated in FIG. 7A, in a second time interval, using a second LED (412) that emits light of a second wavelength.

[0100] At operation 713, the processor (510) may generate (or obtain) corrected absorbance information associated with light of a third wavelength. The corrected absorbance information associated with the third wavelength may be obtained by using a third LED (413) emitting light of a third wavelength, in a third time interval, by the method illustrated in FIG. 7A.

[0101] At operation 714, the processor (510) may generate (or obtain) corrected absorbance information associated with light of a fourth wavelength. The corrected absorbance information associated with the fourth wavelength may be obtained by the method illustrated in FIG. 7A in a fourth time interval using a fourth LED (414) that emits light of a fourth wavelength.

[0102] In operation 715, the processor (510) may generate biometric information. For example, the processor (510) may identify a maximum value of absorbance in a wavelength range (e.g., about 400 nm to 500 nm) of a substance (e.g., a carotenoid) based on the corrected absorbance information associated with the first wavelength, the corrected absorbance information associated with the second wavelength, the corrected absorbance information associated with the third wavelength, and the corrected absorbance information associated with the fourth wavelength. For example, the processor (510) may utilize a peak detection algorithm to identify the maximum value of absorbance. For example, the processor (510) may obtain an algorithm for generating biometric information from the memory (520). In a non-limiting example, the processor (510) may obtain an algorithm for generating biometric information from the sensor memory (552). In a non-limiting example, the processor (510) may control the communication circuit (530) to obtain an algorithm from a server external to the wearable device (500). For example, the processor (510) may generate bio-information (e.g., antioxidant level) based on the maximum absorbance value and the algorithm. For example, the bio-information may be expressed as a score (e.g., 85 points) corresponding to the concentration of a substance (e.g., carotenoid). For example, the bio-information may be expressed as a level (e.g., level 1, level 2) corresponding to the concentration of the substance. For example, the bio-information may be expressed as a state (e.g., low, average, high) corresponding to the concentration of the substance.

[0103] FIG. 8 is a flowchart illustrating a method for obtaining biometric information according to one embodiment.

[0104] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0105] In operation 810, the processor (510) may generate first calibration information. The first calibration information may include reference information for the first LED (411), reference information for the second LED (412), reference information for the third LED (413), and reference information for the fourth LED (414). For example, the reference information for the LEDs may indicate the light-emitting capability of the LEDs implemented in the optical sensor (550). Due to the characteristics of the semiconductor process, the light-emitting capability of the LEDs implemented in the optical sensor (550) may be different from the designed light-emitting capability of the LEDs. For example, even if the first LED (411) and the second LED (412) are designed identically, the light-emitting capability of the first LED (411) may be different from the light-emitting capability of the second LED (412).

[0106] In one embodiment, the processor (510) may obtain reference information for the first LED (411). To obtain the reference information for the first LED (411), the processor (510) may emit light toward the first reflector using the first LED (411) of the optical sensor (550). For example, the processor (510) may emit light toward the first reflector during a first time interval. For example, the light emitted from the first LED (411) may have a first wavelength. For example, the first reflector may be spaced apart from the wearable device (500) based on a first designated distance (e.g., about 5 mm). For example, the distance between the first reflector and the wearable device (500) may be longer than the first designated distance. The processor (510) may receive the light reflected by the first reflector using the PDs (554). The processor (510) can obtain the amount of reflected light received by the PDs (554). For example, the obtained amount of reflected light can include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) can obtain reference information for the first LED (411) by averaging the amounts of reflected light obtained by the PDs (554).

[0107] In one embodiment, the processor (510) may obtain reference information for the second LED (412). To obtain the reference information for the second LED (412), the processor (510) may emit light toward the first reflector using the second LED (412) of the optical sensor (550). For example, the processor (510) may emit light toward the first reflector during a second time interval. For example, the light emitted from the second LED (412) may have a second wavelength different from the first wavelength. The processor (510) may receive the light reflected by the first reflector using the PDs (554). The processor (510) may obtain the amount of reflected light received by the PDs (554). For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain reference information for the second LED (412) by averaging the amounts of reflected light obtained by the PDs (554).

[0108] In one embodiment, the processor (510) may obtain reference information for the third LED (413). To obtain the reference information for the third LED (413), the processor (510) may emit light toward the first reflector using the third LED (413) of the optical sensor (550). For example, the processor (510) may emit light toward the first reflector during a third time interval. For example, the light emitted from the third LED (413) may have a third wavelength that is different from the first wavelength and the second wavelength. The processor (510) may receive the light reflected by the first reflector using the PDs (554). The processor (510) may obtain the amount of reflected light received by the PDs (554). For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain reference information for the third LED (413) by averaging the amounts of reflected light obtained by the PDs (554).

[0109] In one embodiment, the processor (510) may obtain reference information for the fourth LED (414). To obtain reference information for the fourth LED (414), the processor (510) may emit light toward the first reflector using the fourth LED (414) of the optical sensor (550). For example, the processor (510) may emit light toward the first reflector during a fourth time interval. For example, the light emitted from the fourth LED (414) may have a fourth wavelength that is different from the first wavelength to the third wavelength. The processor (510) may receive the light reflected by the first reflector using the PDs (554). The processor (510) may obtain the amount of reflected light received by the PDs (554). For example, the amount of reflected light acquired may include the amount of reflected light acquired by the first PD (415), the amount of reflected light acquired by the second PD (416), the amount of reflected light acquired by the third PD (417), and the amount of reflected light acquired by the fourth PD (418). The processor (510) may acquire reference information for the fourth LED (414) by averaging the amounts of reflected light acquired by the PDs (554).

[0110] In operation 820, the processor (510) may generate second correction information. The second correction information may include distance information between the first LED (411) and the PDs (554), distance information between the second LED (412) and the PDs (554), distance information between the third LED (413) and the PDs (554), and distance information between the fourth LED (414) and the PDs (554). For example, the distance information between the LEDs and the PDs (554) may include information associated with the distance between the LEDs mounted on the optical sensor (550) and the PDs (554).

[0111] In one embodiment, the processor (510) may obtain distance information between the first LED (411) and the PDs (554). To obtain the distance information between the first LED (411) and the PDs (554), the processor (510) may emit light toward the second reflector using the first LED (411) of the optical sensor (550). For example, the processor (510) may emit light toward the second reflector in a fifth time interval. For example, the light emitted from the first LED (411) may have a first wavelength. For example, the second reflector may be spaced apart from the wearable device (500) based on a second specified distance (e.g., about 2 mm) that is shorter than a first specified distance (e.g., about 5 mm). For example, the distance between the second reflector and the wearable device (500) may be shorter than the second specified distance. The processor (510) can receive light reflected by the second reflector using the PDs (554). The processor (510) can obtain the amount of reflected light received by the PDs (554). For example, the obtained amount of reflected light can include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) can obtain information about reflected light depending on the second reflector by averaging the amounts of reflected light obtained by the PDs (554). The processor (510) can obtain absorbance information about the second reflector based on the reference information about the first LED (411) and the information about the reflected light. For example, the processor (510) may provide reference information (I) for the first LED (411). o) and information (I) about the reflected light, absorbance information about the second reflector can be obtained according to the first mathematical formula. For example, the absorbance information about the second reflector can be referred to as distance information about the first LED (411).

[0112] In one embodiment, the processor (510) can obtain distance information between the second LED (412) and the PDs (554). To obtain the distance information between the second LED (412) and the PDs (554), the processor (510) can emit light toward the second reflector using the second LED (412) of the optical sensor (550). For example, the processor (510) can emit light toward the second reflector during the sixth time interval. For example, the light emitted from the second LED (412) can have a second wavelength different from the first wavelength. The processor (510) can receive the light reflected by the second reflector using the PDs (554). The processor (510) can obtain the amount of reflected light received by the PDs (554). For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain information about the reflected light according to the second reflector by averaging the amounts of reflected light obtained by the PDs (554). The processor (510) may obtain absorbance information about the second reflector based on the reference information about the second LED (412) and the information about the reflected light. For example, the processor (510) may obtain reference information (I) about the second LED (412). o) and information (I) about the reflected light, absorbance information about the second reflector can be obtained according to the first mathematical formula. For example, the absorbance information about the second reflector can be referred to as distance information about the second LED (412).

[0113] In one embodiment, the processor (510) may obtain distance information between the third LED (413) and the PDs (554). To obtain the distance information between the third LED (413) and the PDs (554), the processor (510) may emit light toward the second reflector using the third LED (413) of the optical sensor (550). For example, the processor (510) may emit light toward the second reflector in the seventh time interval. For example, the light emitted from the third LED (413) may have a third wavelength that is different from the first wavelength and the second wavelength. The processor (510) may receive the light reflected by the second reflector using the PDs (554). The processor (510) may obtain the amount of reflected light received by the PDs (554). For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain information about the reflected light according to the second reflector by averaging the amounts of reflected light obtained by the PDs (554). The processor (510) may obtain absorbance information about the second reflector based on the reference information about the third LED (413) and the information about the reflected light. For example, the processor (510) may obtain reference information (I) about the third LED (413). o) and information (I) about the reflected light, absorbance information about the second reflector can be obtained according to the first mathematical formula. For example, the absorbance information about the second reflector can be referred to as distance information about the third LED (413).

[0114] In one embodiment, the processor (510) may obtain distance information between the fourth LED (414) and the PDs (554). To obtain the distance information between the fourth LED (414) and the PDs (554), the processor (510) may emit light toward the second reflector using the fourth LED (414) of the optical sensor (550). For example, the processor (510) may emit light toward the second reflector in the eighth time interval. For example, the light emitted from the third LED (413) may have a fourth wavelength different from the first wavelength to the third wavelength. The processor (510) may receive the light reflected by the second reflector using the PDs (554). The processor (510) may obtain the amount of reflected light received by the PDs (554). For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain information about the reflected light according to the second reflector by averaging the amounts of reflected light obtained by the PDs (554). The processor (510) may obtain absorbance information about the second reflector based on the reference information about the fourth LED (414) and the information about the reflected light. For example, the processor (510) may obtain reference information (I) about the third LED (413). o) and information (I) about the reflected light, absorbance information about the second reflector can be obtained according to the first mathematical formula. For example, the absorbance information about the second reflector can be referred to as distance information about the fourth LED (414).

[0115] In operation 830, the processor (510) may obtain reflected light information. For example, the reflected light information may represent the amount of reflected light obtained by the PDs when lights of different wavelengths are irradiated to at least a portion of the body of a user wearing the wearable device (500). For example, the reflected light information may include reflected light information associated with a first LED (411), reflected light information associated with a second LED (412), reflected light information associated with a third LED (413), and reflected light information associated with a fourth LED (414). The LEDs may emit light of different wavelengths.

[0116] In one embodiment, the processor (510) may obtain reflected light information associated with the first LED (411). For example, the processor (510) may use the first LED (411) of the optical sensor (550) to emit light toward at least a portion of the body of a user wearing the wearable device (500). For example, the light emitted from the first LED (411) may have a first wavelength. The processor (510) may use the PDs (554) to receive the light reflected by at least a portion of the body. The processor (510) may use the PDs (554) to obtain the amount of reflected light. For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain reflected light information associated with the first LED (411) by averaging the amounts of reflected light obtained by the PDs (554). For example, the reflected light information associated with the first LED (411) may be referred to as reflected light information for the first wavelength.

[0117] In one embodiment, the processor (510) may obtain reflected light information associated with the second LED (412). For example, the processor (510) may use the second LED (412) of the optical sensor (550) to emit light toward at least a portion of the body of a user wearing the wearable device (500). For example, the light emitted from the second LED (412) may have a second wavelength different from the first wavelength. The processor (510) may use the PDs (554) to receive the light reflected by at least a portion of the body. The processor (510) may use the PDs (554) to obtain the amount of reflected light. For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain reflected light information associated with the second LED (412) by averaging the amounts of reflected light obtained by the PDs (554). For example, the reflected light information associated with the second LED (412) may be referred to as reflected light information for the second wavelength.

[0118] In one embodiment, the processor (510) may obtain reflected light information associated with the third LED (413). For example, the processor (510) may use the third LED (413) of the optical sensor (550) to emit light toward at least a portion of the body of a user wearing the wearable device (500). For example, the light emitted from the third LED (413) may have a third wavelength that is different from the first wavelength and the second wavelength. The processor (510) may use the PDs (554) to receive light reflected by at least a portion of the body. The processor (510) may use the PDs (554) to obtain the amount of reflected light. For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain reflected light information associated with the third LED (413) by averaging the amounts of reflected light obtained by the PDs (554). For example, the reflected light information associated with the third LED (413) may be referred to as reflected light information for a third wavelength.

[0119] In one embodiment, the processor (510) may obtain reflected light information associated with the fourth LED (414). For example, the processor (510) may use the fourth LED (414) of the optical sensor (550) to emit light toward at least a portion of the body of a user wearing the wearable device (500). For example, the light emitted by the fourth LED (414) may have a fourth wavelength that is different from the first to third wavelengths. The processor (510) may use the PDs (554) to receive light reflected by at least a portion of the body. The processor (510) may use the PDs (554) to obtain the amount of reflected light. For example, the amount of reflected light obtained may include the amount of reflected light obtained by the first PD (415), the amount of reflected light obtained by the second PD (416), the amount of reflected light obtained by the third PD (417), and the amount of reflected light obtained by the fourth PD (418). The processor (510) may obtain reflected light information associated with the fourth LED (414) by averaging the amounts of reflected light obtained by the PDs (554). For example, the reflected light information associated with the fourth LED (414) may be referred to as reflected light information for the fourth wavelength.

[0120] In operation 840, the processor (510) may generate absorbance information of a material. For example, the absorbance information may include absorbance information of the material for a first wavelength, absorbance information of the material for a second wavelength, absorbance information of the material for a third wavelength, and absorbance information of the material for a fourth wavelength. For example, the material may include carotenoids accumulated on the skin of a user wearing the wearable device (500). For example, the absorbance information of the material for the first wavelength may indicate the amount of light of the first wavelength that the material absorbs.

[0121] In one embodiment, the processor (510) may generate absorbance information for a first wavelength based on reference information for the first LED (411) and reflected light information associated with the first LED (411). For example, the processor (510) may generate reference information (I) for the first LED (411). o ) and the reflected light information (I) associated with the first LED (411), absorbance information for the first wavelength can be generated according to mathematical expression 1.

[0122] In one embodiment, the processor (510) may generate absorbance information for a second wavelength based on reference information for the second LED (412) and reflected light information associated with the second LED (412). For example, the processor (510) may generate reference information (I) for the second LED (412). o ) and the reflected light information (I) associated with the second LED (412), absorbance information for the second wavelength can be generated according to mathematical expression 1.

[0123] In one embodiment, the processor (510) may generate absorbance information for a third wavelength based on reference information for the third LED (413) and reflected light information associated with the third LED (413). For example, the processor (510) may generate reference information (I) for the third LED (413). o ) and the reflected light information (I) associated with the third LED (413), absorbance information for the third wavelength can be generated according to mathematical expression 1.

[0124] In one embodiment, the processor (510) may generate absorbance information for a fourth wavelength based on reference information for the fourth LED (414) and reflected light information associated with the fourth LED (414). For example, the processor (510) may generate reference information (I) for the fourth LED (414). o) and the reflected light information (I) associated with the fourth LED (414), absorbance information for the fourth wavelength can be generated according to mathematical expression 1.

[0125] At operation 850, the processor (510) may generate information about the corrected absorbance.

[0126] In one embodiment, the processor (510) may obtain distance information between the first LED (411) and the PDs (554) from the sensor memory (552). In a non-limiting example, the processor (510) may obtain the distance information from the memory (520) of the wearable device (500). In another non-limiting example, the processor (510) may control the communication circuit (530) to obtain the distance information from an external server. For example, the processor (510) may obtain absorbance information (A) for the first wavelength and distance information (A) between the first LED (411) and the PDs (554). o ), calibrated absorbance information for the first wavelength can be generated. For example, the calibrated absorbance information can be generated according to mathematical expression 2.

[0127] In one embodiment, the processor (510) may obtain distance information between the second LED (412) and the PDs (554) from the sensor memory (522). In a non-limiting example, the processor (510) may obtain the distance information from the memory (520) of the wearable device (500). In another non-limiting example, the processor (510) may control the communication circuit (530) to obtain the distance information from an external server. For example, the processor (510) may obtain absorbance information (A) for the second wavelength and distance information (A) between the second LED (412) and the PDs (554). o ), calibrated absorbance information for the second wavelength can be generated.

[0128] In one embodiment, the processor (510) may obtain distance information between the third LED (413) and the PDs (554) from the sensor memory (522). In a non-limiting example, the processor (510) may obtain the distance information from the memory (520) of the wearable device (500). In another non-limiting example, the processor (510) may control the communication circuit (530) to obtain the distance information from an external server. For example, the processor (510) may obtain absorbance information (A) for the third wavelength and distance information (A) between the third LED (413) and the PDs (554). o ), calibrated absorbance information for the third wavelength can be generated.

[0129] In one embodiment, the processor (510) may obtain distance information between the fourth LED (414) and the PDs (554) from the sensor memory (522). In a non-limiting example, the processor (510) may obtain the distance information from the memory (520) of the wearable device (500). In another non-limiting example, the processor (510) may control the communication circuit (530) to obtain the distance information from an external server. For example, the processor (510) may obtain absorbance information (A) for the fourth wavelength and distance information (A) between the fourth LED (414) and the PDs (554). o ), calibrated absorbance information for the fourth wavelength can be generated.

[0130] In operation 860, the processor (510) may generate biometric information. For example, the processor (510) may generate biometric information based on corrected absorbance information for a first wavelength, corrected absorbance information for a second wavelength, corrected absorbance information for a third wavelength, and corrected absorbance information for a fourth wavelength.

[0131] In one embodiment, the processor (510) may identify a maximum absorbance value within a wavelength range (e.g., about 400 nm to 500 nm) of a substance (e.g., a carotenoid) based on the information. For example, the processor (510) may utilize a peak detection algorithm to identify the maximum absorbance value.

[0132] In one embodiment, the processor (510) may generate biometric information based on the maximum value of absorbance. The processor (510) may obtain an algorithm for generating biometric information from the memory (520). In a non-limiting example, the processor (510) may obtain an algorithm for generating biometric information from the sensor memory (552). In a non-limiting example, the processor (510) may control the communication circuit (530) to obtain an algorithm for generating biometric information from a server external to the wearable device (500). For example, the processor (510) may generate biometric information based on the maximum value of absorbance and the algorithm.

[0133] Figures 9a to 9c are flowcharts illustrating a method for displaying biometric information according to one embodiment. Figures 9a and 9b illustrate a user interface (UI) for displaying biometric information.

[0134] FIG. 9A is a diagram illustrating a process (910) in which measurement is initiated. In one embodiment, the processor (510) may display a screen (911) for receiving a user's input using the display (540). For example, the processor (510) may display text (912) regarding biometric information to be measured and an object (913) for receiving a user's input within the screen (911). For example, the object (913) may be provided together with the text. The processor (510) may identify an input to the object (913) through a touch detection circuit of the display (540). When an input to the object (913) is identified, the processor (510) may control the display (540) to change the screen displayed using the display (540) from screen (911) to screen (921).

[0135] Figure 9b is a diagram for explaining a process (920) in which a measurement is performed. In one embodiment, the processor (510) may use the display (540) to display text (922) indicating the measurement progress and text (923) for a measurement guide on the screen (921).

[0136] In one embodiment, the measurement of biometric information by the optical sensor (550) may be sensitive to changes in the amount of light received by the PDs (554). While the measurement of biometric information is in progress, the change in the amount of light received by the PDs (554) may increase due to the movement of the user wearing the wearable device (500) (e.g., arm rotation). If the change in the amount of light received by the PDs (554) increases, the measurement result of the biometric information may not be accurate. For example, the processor (510) may display text (923) for a measurement guide on the screen (921) to reduce or prevent inaccurate measurement results.

[0137] FIG. 9C is a diagram for explaining a measurement method (930) according to one embodiment. In one embodiment, a portion (933) of a wearable device (500) may be pressed by a user gesture (932) according to a measurement guide. For example, by a user gesture (932) of pressing a portion (933) of the wearable device (500), the back (110B) of the wearable device (500) may come into contact with at least a part (931) of the user's body. For example, since the back (110B) of the wearable device (500) where the optical sensor (550) is disposed comes into contact with at least a part (931) of the user's body, a change in the amount of light received by the PDs (554) of the optical sensor (550) may be reduced.

[0138] FIG. 9D is a diagram for explaining a measurement method (940) according to one embodiment. In one embodiment, an optical sensor (550) disposed on the rear surface (110B) of a wearable device (500) may be brought into contact with at least a portion (941) of a user's body by a user gesture (941). For example, since the optical sensor (550) is brought into contact with at least a portion (941) of the user's body, a change in the amount of light received by the PDs (554) of the optical sensor (550) may be reduced.

[0139] In one embodiment, the processor (510) may monitor changes in the amount of light received from the PDs (554) of the optical sensor (550) while the screen (921) is displayed to reduce or prevent inaccurate measurement results from being derived. For example, the processor (510) may monitor changes in the amount of light received from at least one PD among the plurality of PDs. For example, the processor (510) may monitor changes in the amount of light of the PD (415) in the vertical direction and the PD (416) in the horizontal direction. For example, when the change in the amount of light exceeds a threshold, the processor (510) may control the display (540) to change the screen displayed using the display (540) from the screen (921) to the screen (911).

[0140] FIG. 9E is a diagram for measurement completion (950). In one embodiment, the processor (510) may display, on the screen (951), information (952) indicating the status of biometric information, information (953) indicating the score of biometric information, and information (954) for guiding at least one action of the user using the display (540). For example, the information (952) indicating the level of biometric information may be displayed as one of low, medium, and high. For example, the information (953) indicating the score of biometric information may be displayed as a value between 0 and 100. For example, the information (954) for guiding at least one action may include text for guiding the user's food intake (e.g., vegetables, fruits) based on the level of biometric information and the score of biometric information. For example, when an input for an area corresponding to guide information (954) of a screen (951) is identified through the display (550), the processor (510) can change to a screen (not shown) displaying information on food intake.

[0141] FIG. 10 is a flowchart illustrating a method for generating biometric information according to one embodiment. The wearable device (1010) of FIG. 10 may correspond to the wearable device (500) of FIG. 5 and / or the wearable device (100) of FIG. 1. The optical sensor (1020) of FIG. 10 may correspond to the optical sensor (550) of FIG. 5. At least one processor (1030) of FIG. 10 may correspond to the processor (510) of FIG. 5. FIG. 10 illustrates an embodiment in which at least some of the operations of the above-described processor (510) are performed by the IC (551) of the optical sensor (1020).

[0142] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0143] In operation 1001, an optical sensor (1020) of a wearable device (1010) may generate sensing data. The sensing data may include information about the corrected absorbance described above.

[0144] In one embodiment, the optical sensor (1020) may be configured to generate first calibration information. For example, the first calibration information may include reference information for the first LED (411), reference information for the second LED (412), reference information for the third LED (413), and reference information for the fourth LED (414).

[0145] In one embodiment, the optical sensor (1020) may be configured to generate second correction information. For example, the second correction information may include distance information between the first LED (411) and the PDs (554), distance information between the second LED (412) and the PDs (554), distance information between the third LED (413) and the PDs (554), and distance information between the fourth LED (414) and the PDs (554).

[0146] In one embodiment, the optical sensor (1020) may be configured to obtain reflected light information. For example, the reflected light information may include reflected light information associated with a first LED (411), reflected light information associated with a second LED (412), reflected light information associated with a third LED (413), and reflected light information associated with a fourth LED (414).

[0147] In one embodiment, the optical sensor (1020) may be configured to generate absorbance information of a material. For example, the optical sensor (1020) may be configured to generate absorbance information of a material based on reference information and reflected light information for LEDs (411, 412, 413, 414). For example, the absorbance information may include absorbance information of the material for a first wavelength, absorbance information of the material for a second wavelength, absorbance information of the material for a third wavelength, and absorbance information of the material for a fourth wavelength.

[0148] In one embodiment, the optical sensor (1020) may generate information about a corrected absorbance. For example, the optical sensor (1020) may generate information about a corrected absorbance based on absorbance information and distance information. For example, the information about a corrected absorbance may include a corrected absorbance for a first wavelength, a corrected absorbance for a second wavelength, a corrected absorbance for a third wavelength, and a corrected absorbance for a fourth wavelength.

[0149] In operation 1002, an optical sensor (1020) of a wearable device (1010) may transmit sensing data to at least one processor (1030) of the wearable device (1010).

[0150] In operation 1003, at least one processor (1030) of the wearable device (1010) may generate biometric information based on sensing data.

[0151] In FIG. 10, some of the operations of the processor (510) described in FIGS. 1 to 9E (e.g., operations 810 to 850 of FIG. 8) are described as being performed by the optical sensor (1020). However, this is merely an example, and the present disclosure is not limited thereto. For example, all of the operations of the processor (510) (e.g., operations 810 to 860 of FIG. 8) may be performed by the optical sensor (1020). For example, at least some of the operations of the processor (510) may be performed by the optical sensor (1020).

[0152] FIG. 11 is a flowchart illustrating a method for requesting or suppressing correction information for generating biometric information according to one embodiment.

[0153] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0154] As described in FIGS. 1 to 10, the processor (510) can generate bio-information (e.g., antioxidant level) based on the absorbance proportional to the concentration of a substance (e.g., carotenoid). The absorbance may have different values ​​measured by the optical sensor. To prevent the absorbance values ​​measured by the optical sensor from varying, the processor (510) can request calibration information for the optical sensor stored in the sensor memory (552) from the optical sensor (550). On the other hand, heart rate measurement through the optical sensor (550) can be based on the peak of the reflected light amount. For example, even if the implemented luminous ability of the LED (553) of the optical sensor (550) varies depending on the optical sensor, the processor (510) can identify the peak of the reflected light amount. For example, even if there is a deviation in the distance between the LED (553) and the PD (554) mounted on the PCB (printed circuit board) of the optical sensor (550), the processor (510) can identify the peak of the reflected light amount. Therefore, if the measurement of biometric information using the optical sensor (550) is not based on absorbance, the processor (510) can suppress requesting the optical sensor (550) for the optical sensor-specific correction information stored in the sensor memory (552).

[0155] More specifically, referring to FIG. 11, in operation 1110, the processor (510) may request correction information from the optical sensor (550) to generate first biometric information (e.g., antioxidant level). For example, the correction information may include reference information for the LED (553) and distance information between the LED (553) and the PD (554).

[0156] In one embodiment, the processor (510) may control the optical sensor (550) to emit light having a wavelength within a first range within a first time interval for first biometric information. For example, the processor (510) may obtain first sensing data from the optical sensor (550). For example, the first sensing data may include reflected light amount information for light having a wavelength within the first range. For example, the processor (510) may request calibration information for the optical sensor (550) stored in the sensor memory (552) of the optical sensor (550) to the optical sensor (550) to generate the first biometric information.

[0157] At operation 1120, the processor (510) may refrain from requesting correction information from the optical sensor (550) to generate second biometric information (e.g., heart rate).

[0158] In one embodiment, the processor (510) may control the optical sensor (550) to emit light having a wavelength within a second range within a second time interval for second biometric information. For example, the processor (510) may obtain second sensing data from the optical sensor (550). For example, the second sensing data may include reflected light amount information for light having a wavelength within the second range. For example, the processor (510) may suppress requesting the optical sensor (550) for correction information for the optical sensor (550) stored in the sensor memory (552) of the optical sensor (550) to generate the second biometric information.

[0159] The wearable device performing the above-described operations can operate in conjunction with the electronic device (1201) in FIG. 12 below. For example, the wearable device can transmit biometric information to the electronic device (1201).

[0160] FIG. 12 is a block diagram of an electronic device within a network environment according to various embodiments.

[0161] Referring to FIG. 12, in a network environment (1200), an electronic device (1201) may communicate with an electronic device (1202) via a first network (1298) (e.g., a short-range wireless communication network), or may communicate with at least one of an electronic device (1204) or a server (1208) via a second network (1299) (e.g., a long-range wireless communication network). According to one embodiment, the electronic device (1201) may communicate with the electronic device (1204) via the server (1208). According to one embodiment, the electronic device (1201) may include a processor (1220), a memory (1230), an input module (1250), an audio output module (1255), a display module (1260), an audio module (1270), a sensor module (1276), an interface (1277), a connection terminal (1278), a haptic module (1279), a camera module (1280), a power management module (1288), a battery (1289), a communication module (1290), a subscriber identification module (1296), or an antenna module (1297). In some embodiments, the electronic device (1201) may omit at least one of these components (e.g., the connection terminal (1278)), or may have one or more other components added. In some embodiments, some of these components (e.g., sensor module (1276), camera module (1280), or antenna module (1297)) may be integrated into a single component (e.g., display module (1260)).

[0162] The processor (1220) may control at least one other component (e.g., a hardware or software component) of the electronic device (1201) connected to the processor (1220) by executing, for example, software (e.g., a program (1240)), and may perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (1220) may store commands or data received from other components (e.g., a sensor module (1276) or a communication module (1290)) in a volatile memory (1232), process the commands or data stored in the volatile memory (1232), and store result data in a non-volatile memory (1234). According to one embodiment, the processor (1220) may include a main processor (1221) (e.g., a central processing unit or an application processor) or a secondary processor (1223) (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 (1221). For example, when the electronic device (1201) includes the main processor (1221) and the secondary processor (1223), the secondary processor (1223) may be configured to use less power than the main processor (1221) or to be specialized for a given function. The secondary processor (1223) may be implemented separately from the main processor (1221) or as a part thereof.

[0163] The auxiliary processor (1223) may control at least a portion of functions or states associated with at least one component (e.g., the display module (1260), the sensor module (1276), or the communication module (1290)) of the electronic device (1201), for example, on behalf of the main processor (1221) while the main processor (1221) is in an inactive (e.g., sleep) state, or together with the main processor (1221) while the main processor (1221) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (1223) (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 (1280) or a communication module (1290)). In one embodiment, the auxiliary processor (1223) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, on the electronic device (1201) itself where the artificial intelligence model is executed, or can be performed through a separate server (e.g., server (1208)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0164] The memory (1230) can store various data used by at least one component (e.g., the processor (1220) or the sensor module (1276)) of the electronic device (1201). The data can include, for example, software (e.g., the program (1240)) and input data or output data for commands related thereto. The memory (1230) can include a volatile memory (1232) or a non-volatile memory (1234).

[0165] The program (1240) may be stored as software in memory (1230) and may include, for example, an operating system (1242), middleware (1244), or an application (1246).

[0166] The input module (1250) can receive commands or data to be used in a component of the electronic device (1201) (e.g., a processor (1220)) from an external source (e.g., a user) of the electronic device (1201). The input module (1250) 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).

[0167] The audio output module (1255) can output audio signals to the outside of the electronic device (1201). The audio output module (1255) 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.

[0168] The display module (1260) can visually provide information to an external party (e.g., a user) of the electronic device (1201). The display module (1260) 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 (1260) 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.

[0169] The audio module (1270) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (1270) can acquire sound through the input module (1250), output sound through the sound output module (1255), or an external electronic device (e.g., electronic device (1202)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (1201).

[0170] The sensor module (1276) can detect the operating status (e.g., power or temperature) of the electronic device (1201) 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 (1276) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0171] The interface (1277) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (1201) with an external electronic device (e.g., the electronic device (1202)). In one embodiment, the interface (1277) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0172] The connection terminal (1278) may include a connector through which the electronic device (1201) may be physically connected to an external electronic device (e.g., the electronic device (1202)). According to one embodiment, the connection terminal (1278) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0173] The haptic module (1279) 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 (1279) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0174] The camera module (1280) can capture still images and videos. According to one embodiment, the camera module (1280) may include one or more lenses, image sensors, image signal processors, or flashes.

[0175] The power management module (1288) can manage power supplied to the electronic device (1201). According to one embodiment, the power management module (1288) can be implemented, for example, as at least a part of a power management integrated circuit (PMIC).

[0176] A battery (1289) may power at least one component of the electronic device (1201). In one embodiment, the battery (1289) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0177] The communication module (1290) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (1201) and an external electronic device (e.g., electronic device (1202), electronic device (1204), or server (1208)), and the performance of communication through the established communication channel. The communication module (1290) may operate independently from the processor (1220) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (1290) may include a wireless communication module (1292) (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 (1294) (e.g., a local area network (LAN) communication module, or a power line communication module). Any of these communication modules may communicate with an external electronic device (1204) via a first network (1298) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (1299) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules may be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (1292) may use subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (1296) to verify or authenticate the electronic device (1201) within a communication network such as the first network (1298) or the second network (1299).

[0178] The wireless communication module (1292) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (1292) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (1292) can support various technologies for securing performance in high-frequency bands, 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 (1292) can support various requirements specified in the electronic device (1201), an external electronic device (e.g., the electronic device (1204)), or a network system (e.g., the second network (1299)). According to one embodiment, the wireless communication module (1292) may support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0179] The antenna module (1297) 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 (1297) 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 (1297) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (1298) or the second network (1299), may be selected from the plurality of antennas by, for example, the communication module (1290). A signal or power may be transmitted or received between the communication module (1290) and the external electronic device via the at least one selected 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 (1297).

[0180] According to various embodiments, the antenna module (1297) 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.

[0181] 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)).

[0182] According to one embodiment, commands or data may be transmitted or received between the electronic device (1201) and an external electronic device (1204) via a server (1208) connected to a second network (1299). Each of the external electronic devices (1202 or 1204) may be the same or a different type of device as the electronic device (1201). According to one embodiment, all or part of the operations executed in the electronic device (1201) may be executed in one or more of the external electronic devices (1202, 1204, or 1208). For example, when the electronic device (1201) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (1201) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (1201). The electronic device (1201) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (1201) may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device (1204) may include an Internet of Things (IoT) device. The server (1208) may be an intelligent server utilizing machine learning and / or a neural network.In one embodiment, an external electronic device (1204) or server (1208) may be included within the second network (1299). The electronic device (1201) may be applied to intelligent services (e.g., smart homes, smart cities, smart cars, or healthcare) based on 5G communication technology and IoT-related technology.

[0183] The wearable device according to the present disclosure can reduce errors in biometric information due to variations in the amount of light of LEDs and distances between LEDs and PDs that may occur during the manufacturing process of an optical sensor. The wearable device according to the present disclosure can improve user experience (UX) by preventing different results from being derived from each optical sensor. The wearable device according to the present disclosure can prevent unique correction values ​​for the optical sensor from being deleted due to updates to the wearable device by installing a separate sensor memory within the optical sensor. The wearable device according to the present disclosure can enable biometric information measurement using a relatively small number of LEDs and PDs.

[0184] The effects that can be obtained from the present disclosure are not limited to the effects mentioned above, and other effects that are not mentioned can be clearly understood by a person having ordinary skill in the art to which the present disclosure belongs from the above description.

[0185] As described above, the wearable device (500) includes an optical sensor (550) including an emitter (553), a receiver (554), and a sensor memory (552), a display (540), a memory (520) storing instructions and including one or more storage media, and at least one processor (510) including a processing circuit, wherein the instructions, when individually or collectively executed by the at least one processor, can cause the wearable device to control the optical sensor to emit light using the emitter, to control the optical sensor to obtain information about reflected light using the receiver, to control the optical sensor to obtain reference information about the emitter from the sensor memory, to obtain the biometric information based on the information about the reflected light and the reference information, and to display the biometric information through the display.

[0186] For example, the instructions, when executed by the at least one processor, may cause the wearable device to control the optical sensor to obtain distance information between the light emitting unit and the light receiving unit from the sensor memory to obtain the biometric information, obtain information about absorbance of a body of a user wearing the wearable device based on the reference information and the information about the reflected light, obtain information about corrected absorbance based on the distance information and the information about the absorbance, and obtain the biometric information based on the information about the corrected absorbance.

[0187] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the optical sensor to emit light toward a first reflector using the light emitting unit, control the optical sensor to obtain information about the first reflected light using the light receiving unit, obtain reference information based on the information about the first reflected light, and control the optical sensor to store the reference information in the sensor memory.

[0188] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the optical sensor to emit light toward a second reflector using the light emitting unit, control the optical sensor to obtain information about the second reflected light using the light receiving unit, obtain distance information between the light emitting unit and the light receiving unit based on the information about the second reflected light and the reference information, and store the distance information in the sensor memory.

[0189] For example, the distance between the first reflector and the wearable device may be longer than the distance between the second reflector and the wearable device.

[0190] For example, the light-emitting unit is a first light-emitting unit, the optical sensor further includes a second light-emitting unit, and the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the optical sensor to emit light of a first wavelength within a wavelength range of a material associated with the biometric information using the first light-emitting unit within a first time interval, and to control the optical sensor to emit light of a second wavelength different from the first wavelength within the wavelength range using the second light-emitting unit within a second time interval.

[0191] For example, the light receiving unit is a first light receiving unit, the optical sensor further includes a second light receiving unit, and the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the optical sensor to receive light of the first wavelength using the first light receiving unit and the second light receiving unit within the first time interval, control the optical sensor to receive light of the second wavelength using the first light receiving unit and the second light receiving unit within the second time interval, obtain information about light of the first wavelength and information about light of the second wavelength from the optical sensor, obtain corrected absorbance information for the first wavelength based on the information about light of the first wavelength, and obtain corrected absorbance information for the second wavelength based on the information about light of the second wavelength.

[0192] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify a maximum absorbance value within a wavelength range of a material associated with the biometric information based on the corrected absorbance information for the first wavelength and the corrected absorbance information for the second wavelength, and to obtain the biometric information based on the maximum absorbance value.

[0193] For example, the biometric information may include antioxidant information of a user wearing the wearable device, and the material associated with the biometric information may include a carotenoid.

[0194] As described above, a wearable device may include an optical sensor including a light emitting unit, a light receiving unit, and a sensor memory, and at least one processor including a processing circuit, wherein the optical sensor may be configured to emit light using the light emitting unit, obtain information about reflected light using the light receiving unit, obtain reference information about the light emitting unit from the sensor memory, generate sensing data for generating biometric information based on the information about the reflected light and the reference information, and provide the sensing data to the at least one processor.

[0195] For example, the optical sensor may be configured to obtain, from the sensor memory, distance information between the light emitting unit and the light receiving unit to generate the sensing data, obtain information on absorbance of a body of a user wearing the wearable device based on the reference information and the information on the reflected light, obtain information on corrected absorbance based on the distance information and the information on absorbance, and generate the sensing data based on the information on the corrected absorbance.

[0196] For example, the optical sensor may be configured to emit light toward a first reflector using the light emitting portion, obtain information about the first reflected light using the light receiving portion, obtain the reference information based on the information about the first reflected light, and store the reference information in the sensor memory.

[0197] For example, the optical sensor may be configured to emit light toward a second reflector using the light emitting portion, obtain information about the second reflected light using the light receiving portion, obtain distance information between the light emitting portion and the light receiving portion based on the information about the second reflected light and the reference information, and store the distance information in the sensor memory.

[0198] For example, the distance between the first reflector and the wearable device may be longer than the distance between the second reflector and the wearable device.

[0199] For example, the light emitting unit may be a first light emitting unit, and the optical sensor may further include a second light emitting unit, and the optical sensor may be configured to emit light of a first wavelength within a wavelength range of a material associated with the biometric information using the first light emitting unit within a first time interval, and to emit light of a second wavelength within the wavelength range using the second light emitting unit within a second time interval.

[0200] For example, the light receiving unit may be a first light receiving unit, and the optical sensor may further include a second light receiving unit, and the optical sensor may be configured to receive light of the first wavelength using the first light receiving unit and the second light receiving unit within the first time interval, receive light of the second wavelength using the first light receiving unit and the second light receiving unit within the second time interval, obtain corrected absorbance information for the first wavelength based on information about light of the first wavelength, and obtain corrected absorbance information for the second wavelength based on information about light of the second wavelength.

[0201] For example, the optical sensor may be configured to identify a maximum absorbance value within a wavelength range of a material associated with the bio-information based on the corrected absorbance information for the first wavelength and the corrected absorbance information for the second wavelength, and to generate the sensing data based on the maximum absorbance value.

[0202] For example, the biometric information may include antioxidant information of a user wearing the wearable device, and the material associated with the biometric information may include a carotenoid.

[0203] As described above, a wearable device comprises an optical sensor including a light emitting unit, a light receiving unit, and a sensor memory, a memory storing instructions and including one or more storage media, and at least one processor including a processing circuit, wherein the instructions, when individually or collectively executed by the at least one processor, are configured to: acquire first sensing data from the optical sensor based on controlling the optical sensor to emit light having a wavelength within a first range within a first time interval for first biometric information; and request reference information in the sensor memory of the optical sensor to the optical sensor to generate the first biometric information using the first sensing data; acquire second sensing data from the optical sensor based on controlling the optical sensor to emit light having a wavelength within a second range within a second time interval for second biometric information; and request correction information for the optical sensor in the sensor memory of the optical sensor to the optical sensor to generate the second biometric information using the second sensing data. The wearable device may be caused to refrain.

[0204] For example, the first biometric information may include antioxidant information of a user wearing the wearable device, and the second biometric information may include heart rate information of the user.

[0205] The methods according to the embodiments described in the claims or specification of the present disclosure may be implemented in the form of hardware, software, or a combination of hardware and software.

[0206] When implemented in software, a computer-readable storage medium storing one or more programs (software modules) may be provided. The one or more programs stored in the computer-readable storage medium are configured for execution by one or more processors in an electronic device. The one or more programs include instructions that cause the electronic device to execute methods according to embodiments described in the claims or specifications of the present disclosure. The one or more programs may be provided as included in a computer program product. The computer program product may be traded between sellers and buyers as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read only memory (CD-ROM)) or an application store (e.g., Play Store). ™ ) or directly between two user devices (e.g., smart phones), online distribution (e.g., downloading or uploading). In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily created in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0207] These programs (software modules, software) may be stored in random access memory, non-volatile memory including flash memory, read only memory (ROM), electrically erasable programmable read only memory (EEPROM), magnetic disc storage devices, compact disc-ROM (CD-ROM), digital versatile discs (DVDs) or other forms of optical storage devices, magnetic cassettes, or may be stored in memories formed by a combination of some or all of these. In addition, each configuration memory may include multiple copies.

[0208] Additionally, the program may be stored on an attachable storage device that is accessible via a communication network, such as the Internet, an intranet, a local area network (LAN), a wide area network (WAN), a storage area network (SAN), or a combination thereof. Such a storage device may be connected to a device implementing an embodiment of the present disclosure via an external port. Additionally, a separate storage device on the communication network may be connected to a device implementing an embodiment of the present disclosure.

[0209] In the specific embodiments of the present disclosure described above, components included in the disclosure are expressed singularly or plurally, depending on the specific embodiment presented. However, the singular or plural expressions are selected to suit the presented situation for convenience of explanation, and the present disclosure is not limited to singular or plural components. Components expressed in plural may be composed of singular elements, or components expressed in singular may be composed of plural elements.

[0210] According to embodiments, one or more of the components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

[0211] Meanwhile, although the detailed description of the present disclosure has described specific embodiments, it is obvious that various modifications are possible within the scope of the present disclosure.

Claims

In wearable devices, An optical sensor comprising an emitter, a receiver, and a sensor memory; display; A memory storing instructions and including one or more storage media; and At least one processor comprising a processing circuit, The above instructions, when individually or collectively executed by the at least one processor, Controlling the optical sensor to emit light using the light emitting unit based on an input for measuring biometric information, Using the above light receiving unit, the optical sensor is controlled to obtain information about reflected light, Controlling the optical sensor to obtain reference information about the light-emitting unit from the sensor memory; Based on the information about the above reflected light and the above reference information, the biometric information is acquired, and To display the above biometric information through the display, causing the above wearable device, Wearable devices. In the first paragraph, when the instructions are executed by the at least one processor to obtain the biometric information, Controlling the optical sensor to obtain distance information between the light emitting unit and the light receiving unit from the sensor memory; Based on the above reference information and the information about the reflected light, information about the absorbance of the body of the user wearing the wearable device is obtained, Based on the above distance information and the above absorbance information, information on the corrected absorbance is obtained, and Based on the information about the above-mentioned corrected absorbance, to obtain the above-mentioned bio-information, causing the above wearable device, Wearable devices. In the first paragraph, when the instructions are individually or collectively executed by the at least one processor, Using the above light emitting part, the optical sensor is controlled to emit light toward the first reflector, Using the above light receiving unit, controlling the optical sensor to obtain information about the first reflected light, Based on the information about the first reflected light, the reference information is obtained, and To control the optical sensor to store the above reference information in the sensor memory, causing the above wearable device, Wearable devices. In the third paragraph, when the instructions are individually or collectively executed by the at least one processor, Using the above light emitting part, the optical sensor is controlled to emit light toward the second reflector, Using the above light receiving unit, controlling the optical sensor to obtain information about the second reflected light, Based on the information about the second reflected light and the reference information, distance information between the light emitting unit and the light receiving unit is obtained, and To control the optical sensor to store the above distance information in the sensor memory, causing the above wearable device, Wearable devices. In paragraph 4, The distance between the first reflector and the wearable device is longer than the distance between the second reflector and the wearable device. Wearable devices. In the first paragraph, The above light emitting part is a first light emitting part, The optical sensor further comprises a second light emitting unit, The above instructions, when individually or collectively executed by the at least one processor, Within a first time interval, controlling the optical sensor to emit light of a first wavelength within a wavelength range of a material associated with the bio-information using the first light-emitting unit, and Within a second time interval, using the second light emitting unit, control the optical sensor to emit light of a second wavelength different from the first wavelength within the wavelength range. causing the above wearable device, Wearable devices. In paragraph 6, The above light-receiving unit is a first light-receiving unit, The optical sensor further includes a second light receiving unit, The above instructions, when individually or collectively executed by the at least one processor, Within the first time interval, controlling the optical sensor to receive light of the first wavelength using the first light receiving unit and the second light receiving unit, Within the second time interval, controlling the optical sensor to receive light of the second wavelength using the first light receiving unit and the second light receiving unit, From the optical sensor, information about light of the first wavelength and information about light of the second wavelength are obtained, Based on the information about the light of the first wavelength, corrected absorbance information for the first wavelength is obtained, and Based on the information about the light of the second wavelength, to obtain corrected absorbance information for the second wavelength, causing the above wearable device, Wearable devices. In the seventh paragraph, when the instructions are individually or collectively executed by the at least one processor, Based on the corrected absorbance information for the first wavelength and the corrected absorbance information for the second wavelength, identifying the maximum absorbance value within the wavelength range of the material associated with the bioinformation, and Based on the above maximum absorbance value, to obtain the above bio-information, causing the above wearable device, Wearable devices. In the first paragraph, The above biometric information includes antioxidant information of a user wearing the wearable device, and The substance associated with the above bio-information includes a carotenoid. Wearable devices. In wearable devices, An optical sensor comprising an emitter, a receiver, and a sensor memory; At least one processor comprising a processing circuit, The above optical sensor, By using the above light emitting part, light is emitted, Using the above light receiving unit, information on reflected light is obtained, From the above sensor memory, reference information for the light emitting unit is obtained, Based on the information about the above reflected light and the above reference information, sensing data for generating biometric information is generated, and To provide the sensing data to the at least one processor, Composed of, Wearable devices. In Article 10, The optical sensor, in order to generate the sensing data, From the above sensor memory, distance information between the light emitting unit and the light receiving unit is obtained, Based on the above reference information and the information about the reflected light, information about the absorbance of the body of the user wearing the wearable device is obtained, Based on the above distance information and the above absorbance information, information on the corrected absorbance is obtained, and Based on the information about the above-mentioned corrected absorbance, to generate the above-mentioned sensing data, Composed of, Wearable devices. In Article 10, The above optical sensor, Using the above light emitting part, light is emitted toward the first reflector, Using the above light receiving unit, information on the first reflected light is obtained, Based on the information about the first reflected light, the reference information is obtained, and To store the above reference information in the sensor memory, Composed of, Wearable devices. In paragraph 12, The above optical sensor, Using the above light emitting part, light is emitted toward the second reflector, Using the above light receiving unit, information on the second reflected light is obtained, Based on the information about the second reflected light and the reference information, distance information between the light emitting unit and the light receiving unit is obtained, and To store the above distance information in the sensor memory, Composed of, Wearable devices. In Article 13, The distance between the first reflector and the wearable device is longer than the distance between the second reflector and the wearable device. Wearable devices. In Article 10, The above light emitting part is a first light emitting part, The optical sensor further includes a second light emitting unit, The above optical sensor, Within the first time interval, using the first light emitting unit, light of the first wavelength is emitted within the wavelength range of the material associated with the bio-information, and Within the second time interval, using the second light emitting unit, light of a second wavelength is emitted within the wavelength range. Composed of, Wearable devices.

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