Electronic device and method for operating thereof and storage medium

Abstract

An electronic device is disclosed. The electronic device comprises at least one sensor, at least one processor including processing circuitry, and a memory for storing instructions. When the instructions are executed individually or collectively by at least one processor, the electronic device identifies a first dehydration amount of a user based on sensing data acquired through at least one sensor, identifies a first threshold value corresponding to the first dehydration amount, and identifies whether the user has consumed water based on the change in sensing data over a first time period and the identified first threshold value.

Description

Technology Field

[0001] The present disclosure relates to an electronic device, a method of operation thereof, and a storage medium, and more specifically, to an electronic device, a method of operation thereof, and a storage medium that provides a service related to a user's water intake. Background Technology

[0002] With the advancement of electronic technology, various types of electronic devices are being developed and distributed, and recently, interest in wearable devices worn on the body has been increasing. Wearable devices can continuously monitor the user's health status by utilizing the user's biometric information. means of solving the problem

[0003] An electronic device according to one embodiment of the present disclosure comprises at least one sensor, at least one processor including processing circuitry, and a memory for storing instructions, wherein when the instructions are executed individually or collectively by the at least one processor, the electronic device may identify a first threshold value corresponding to the first amount of dehydration when the first amount of dehydration of a user is identified based on sensing data obtained through the at least one sensor.

[0004] According to one embodiment, when the instructions are executed individually or collectively by the at least one processor, the electronic device may identify whether the user has consumed water based on the amount of change in the sensing data during a first time period and the identified first threshold value.

[0005] A method of operation of an electronic device according to one embodiment of the present disclosure may include, when a first amount of dehydration of a user is identified based on sensing data obtained through at least one sensor, an operation of identifying a first threshold value corresponding to the first amount of dehydration.

[0006] According to one embodiment, the operation method may include an operation of identifying whether the user has consumed water based on the amount of change in the sensing data during a first time period and the identified first threshold value.

[0007] In a storage medium for storing computer-readable instructions according to one embodiment of the present disclosure, the instructions, when executed by at least one processor of an electronic device traveling in a travel space, may cause the electronic device to identify a first threshold value corresponding to the first amount of dehydration when the first amount of dehydration of a user is identified based on sensing data obtained through at least one sensor.

[0008] According to one embodiment, the instructions may cause the electronic device to identify whether the user has consumed water based on the amount of change in the sensing data during a first time period and the identified first threshold value. Brief explanation of the drawing

[0009] FIG. 1 is a diagram schematically illustrating an electronic device according to one embodiment. FIG. 2 is a block diagram showing the configuration of an electronic device according to one embodiment. FIG. 3 is a flowchart illustrating the operation method of an electronic device according to one embodiment. FIG. 4 is a flowchart illustrating a method for updating water intake according to one embodiment. FIG. 5 is a flowchart illustrating an operation for identifying whether water is consumed according to one embodiment. FIG. 6 is a flowchart illustrating a method for identifying whether a user has consumed water based on user voice data according to one embodiment. FIG. 7 is a flowchart illustrating a method for identifying whether a user has consumed water using a plurality of sensors according to one embodiment. FIG. 8 is a diagram illustrating the change in threshold value according to the user's dehydration rate according to one embodiment. FIG. 9 is a block diagram showing the detailed configuration of an electronic device according to one embodiment. Specific details for implementing the invention

[0010] The present disclosure will be described in detail below with reference to the attached drawings.

[0011] The terms used in this specification will be briefly explained, and the present disclosure will be described in detail.

[0012] The terms used in the embodiments of this disclosure have been selected to be as widely used as possible, taking into account their functions within this disclosure; however, these terms may vary depending on the intent of those skilled in the art, case law, the emergence of new technologies, etc. Additionally, in specific cases, terms have been arbitrarily selected by the applicant, and in such cases, their meanings will be described in detail in the relevant explanatory section of this disclosure. Therefore, terms used in this disclosure should be defined not merely by their names, but based on their meanings and the overall content of this disclosure.

[0013] In this specification, expressions such as “have,” “may have,” “include,” or “may include” indicate the presence of such features (e.g., numerical values, functions, operations, or components such as parts) and do not exclude the presence of additional features.

[0014] The expression "at least one of A or / and B" should be understood as representing either "A" or "B" or "A and B".

[0015] Expressions such as "first," "second," "first," or "second" used in this specification may modify various components regardless of order and / or importance, and are used only to distinguish one component from another and do not limit said components.

[0016] Where it is stated that a component (e.g., Component 1) is "(operatively or communicatively) coupled with / to" or "connected to" another component (e.g., Component 2), it should be understood that the component may be directly connected to the other component or connected through the other component (e.g., Component 3).

[0017] The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "consisting of" are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0018] In the present disclosure, a "module" or "part" performs at least one function or operation and may be implemented in hardware or software, or a combination of hardware and software. Additionally, a plurality of "modules" or a plurality of "parts" may be integrated into at least one module and implemented by at least one processor (not shown), except for a "module" or "part" that needs to be implemented in specific hardware.

[0019] Furthermore, in this specification, the term "signal" includes not only electrical signals but also signals in the form of sound waves, and in the case of electrical signals, it may be a digital signal as well as an analog signal. For example, the expression "audio signal" (or "noise signal") refers to a sound wave (or radio wave) signal if the signal is outside the electronic device, and an electrical signal if it is inside the electronic device, depending on the location of the signal. Additionally, the signal processing, etc. within the electronic device described below may be a digital signal processing method, an analog signal processing method, or a signal processing method that uses a combination of analog and digital methods.

[0020] And in this specification, the term "filter" refers to removing a specific component (e.g., a specific frequency range or a specific pattern), and said filter may be a digital filter or an analog filter.

[0021] FIG. 1 is a diagram schematically illustrating an electronic device according to one embodiment.

[0022] According to FIG. 1, in one embodiment, the electronic device (100) may be implemented as a wearable device. In one example, the electronic device (100) may be implemented as a different type of wearable device including a smart watch (100-3), ear buds (100-2), or a smart ring (100-1), but is not limited thereto.

[0023] According to one embodiment, the electronic device (100) can acquire sensing data related to the amount of water in the user's body or sensing data related to the user's biological information (e.g., blood flow or skin changes) through at least one sensor.

[0024] According to one embodiment, the electronic device (100) can identify the user's dehydration amount or dehydration rate based on sensing data obtained through at least one sensor.

[0025] According to one embodiment, the electronic device (100) can identify a threshold value corresponding to an identified amount of dehydration. According to one example, the electronic device (100) can identify a threshold value corresponding to an identified amount of dehydration when the amount of dehydration (or dehydration rate) of a user is identified based on sensing data obtained through at least one sensor.

[0026] According to one embodiment, the electronic device (100) can identify whether the user has consumed water by comparing the amount of change in sensing data over a preset time with an identified threshold value. According to one embodiment, the electronic device (100) can identify the amount of water consumed by the user based on the amount of change in sensing data.

[0027] According to one embodiment, when the electronic device (100) identifies the user's water intake based on acquired sensing data, it can update the amount of dehydration based on the identified water intake.

[0028] According to one embodiment, the electronic device (100) can re-identify whether the user has consumed water based on the updated amount of dehydration.

[0029] FIG. 2 is a block diagram showing the configuration of an electronic device according to one embodiment.

[0030] According to FIG. 2, the electronic device (100) may include at least one sensor (110), at least one processor (120), and memory (130).

[0031] The electronic device (100) may be implemented as a wearable device. According to one example, the electronic device (100) may be implemented as a different type of wearable device including a smart watch, ear buds, or a smart ring, but is not limited thereto. According to one example, the electronic device (100) may be implemented as a server that communicates with at least one wearable device to transmit and receive information.

[0032] At least one sensor (110, hereinafter referred to as the sensor) may include a plurality of sensors of various types. The sensor (110) may measure physical quantities or detect the operating state of an electronic device (100) and convert the measured or detected information into an electrical signal. The sensor (110) may include a camera (or a camera sensor), and the camera may include a lens that focuses visible light or other optical signals received by being reflected by an object onto an image sensor, and an image sensor capable of detecting visible light or other optical signals. Here, the image sensor may include a 2D pixel array divided into a plurality of pixels. Alternatively, at least one sensor (110) may include a temperature sensor or an infrared sensor.

[0033] According to one example, at least one sensor (110) may include different types of sensors. For example, at least one sensor may include different types of sensors that acquire sensing data related to the user's biometric information, such as an impedance measurement sensor, an optical sensor, and a temperature sensor.

[0034] According to one example, an impedance sensor is a device that detects changes in the electrical characteristics of a measurement target (or user) to non-invasively measure various physical, chemical, and biological parameters, and an electronic device (100) can acquire sensing data including impedance magnitude or phase output from the impedance sensor. For example, the electronic device can acquire sensing data corresponding to a preset frequency range (e.g., a frequency range of 1 kHz (kilohertz) or higher and 3 MHz (megahertz) or lower). However, it is not limited thereto.

[0035] According to one example, the optical sensor may be a sensor that uses light to acquire sensing data regarding a user's biological information (e.g., blood flow). For example, the optical sensor may be implemented as a different type of sensor including a PPG (Photoplethysmogram) sensor. According to one example, the optical sensor may acquire sensing data corresponding to a preset wavelength range (e.g., a wavelength range of 500 nm or more and 2000 nm or less). However, it is not limited thereto.

[0036] For example, the temperature sensor may be a sensor that acquires sensing data related to the user's skin surface temperature.

[0037] At least one processor (120) (hereinafter, processor) is electrically connected to at least one sensor (110) and memory (130) to control the overall operation of the electronic device (100). The processor (120) may be composed of one or more processors. Specifically, the processor (120) may perform the operation of the electronic device (100) according to various embodiments of the present disclosure by executing at least one instruction stored in the memory (130).

[0038] According to one embodiment, the processor (120) may be implemented as a digital signal processor (DSP) that processes digital video signals, a microprocessor, a Graphics Processing Unit (GPU), an Artificial Intelligence (AI) processor, a Neural Processing Unit (NPU), or a Time Controller (TCON). However, it is not limited thereto, and may include or be defined by one or more of a central processing unit (CPU), a Micro Controller Unit (MCU), a micro processing unit (MPU), a controller, an application processor (AP), a communication processor (CP), or an ARM processor. Additionally, the processor (120) may be implemented as a System on Chip (SoC) or Large Scale Integration (LSI) with a built-in processing algorithm, or may be implemented in the form of an Application Specific Integrated Circuit (ASIC) or Field Programmable Gate Array (FPGA).

[0039] The memory (130) can store data necessary for various embodiments. Depending on the purpose of data storage, the memory (130) may be implemented in the form of a memory embedded in the electronic device (100) or in the form of a memory that can be attached to and detached from the electronic device (100). For example, data for operating the electronic device (100) may be stored in a memory embedded in the electronic device (100), and data for the expansion function of the electronic device (100) may be stored in a memory that can be attached to and detached from the electronic device (100).

[0040] Meanwhile, the memory embedded in the electronic device (100) may be implemented as at least one of volatile memory (e.g., DRAM (dynamic RAM), SRAM (static RAM), or SDRAM (synchronous dynamic RAM), etc.), non-volatile memory (e.g., OTPROM (one-time programmable ROM), PROM (programmable ROM), EPROM (erasable and programmable ROM), EEPROM (electrically erasable and programmable ROM), mask ROM, flash ROM, flash memory (e.g., NAND flash or NOR flash, etc.), hard drive, or solid state drive (SSD). Additionally, the memory that is detachable from the electronic device (100) may be implemented in the form of a memory card (e.g., CF (compact flash), SD (secure digital), Micro-SD (micro secure digital), Mini-SD (mini secure digital), xD (extreme digital), MMC (multi-media card), etc.), external memory connectable to a USB port (e.g., USB memory), etc. there is.

[0041] According to one embodiment, the processor (120) can acquire sensing data through at least one sensor (110). According to one example, the processor (120) can acquire at least one type of sensing data from different types of sensors. According to one example, if at least one sensor (110) includes at least one of an impedance sensor, an optical sensor, and a temperature sensor, the processor (120) can acquire sensing data from each sensor.

[0042] According to one example, the processor (120) may obtain sensing data related to the amount of body water in the user from an impedance sensor. For example, the processor (120) may obtain sensing data including the magnitude and phase of impedance according to frequency as sensing data within a preset frequency range (e.g., a frequency range of 1 kHz (kilohertz) or higher and 3 MHz (megahertz) or lower). Alternatively, the processor (120) may obtain a relative ratio of the impedance magnitude by frequency based on the obtained sensing data. This will be described later.

[0043] According to one example, the processor (120) may acquire sensing data regarding the user's bio-information (e.g., blood flow or skin changes) from an optical sensor. According to one example, the optical sensor may be implemented as a PPG sensor. According to one example, the processor (120) may acquire different types of sensing data related to the user's bio-information, including a waveform (e.g., time-series data representing changes in blood volume) regarding the user's bio-information from the optical sensor. For example, the processor (120) may identify the peak value of the waveform corresponding to each wavelength value within a preset wavelength range (e.g., a wavelength range of 500 nm (nanometer) or more and 2000 nm (nanometer) or less) and identify the amount of dehydration of the user based thereon. This will be described later.

[0044] According to one embodiment, the processor (120) can identify a dehydration amount or a dehydration rate based on sensing data obtained through at least one sensor (110). According to one example, the dehydration amount is an indicator representing the degree to which the body's water content has decreased below a normal level, and may mean the difference between the amount of fluid lost and the amount of fluid consumed, but is not limited thereto. According to one example, the dehydration rate may be the ratio of the amount of water lost (or the amount of dehydration) to the normal amount of water in the body when the body's water content has decreased below a normal level.

[0045] According to one example, the processor (120) can input sensing data obtained through at least one sensor (110) into a preset algorithm to identify at least one of the user's dehydration amount or dehydration rate. For example, the processor (120) can input the obtained sensing data into a trained neural network model to obtain the user's dehydration amount. According to one example, the trained neural network model may be a model trained to output the user's dehydration amount or dehydration rate when sensing data related to the user's biometric information (e.g., at least one of sensing data obtained from an impedance sensor, sensing data obtained from an optical sensor, and sensing data obtained from a temperature sensor) is input.

[0046] According to one example, the trained neural network model may output the amount of dehydration or the rate of dehydration of the user by setting the sensing data related to the user's bio-information in a normal state of body water as a reference value. However, it is not limited thereto, and according to one example, the processor (120) may obtain the amount of dehydration or the rate of dehydration of the user from the sensing data by using a preset computational algorithm.

[0047] According to one embodiment, the processor (120) can identify a threshold value corresponding to the identified amount of dehydration. According to one example, the processor (120) can identify a threshold value corresponding to the identified amount of dehydration when the amount of dehydration (or dehydration rate) of a user is identified based on sensing data obtained through at least one sensor (110). According to one example, the processor (120) can identify a threshold value corresponding to each of at least one type of sensor for the identified amount of dehydration (or dehydration rate) as shown in Table 1 below.

[0048] Dehydration rate (%) threshold value threshold value corresponding to the impedance sensor threshold value corresponding to the optical sensor 0 0.05 0.10 0.1 0.043 0.087 0.2 0.04 0.08 0.3 0.038 0.074 … … … 1.1 0.033 0.0545 1.2 0.0324 0.0541 1.3 0.032 0.0535 … …. …. 2.0 0.03 0.05 … …. ….

[0049] According to Table 1 described above, the threshold value may be changed depending on the magnitude of the dehydration rate. In one example, the threshold value in Table 1 may be an AU (arbitrary unit) value. In one example, when the dehydration rate is 1.3%, the threshold value corresponding to the impedance sensor may be 0.032, and the threshold value corresponding to the optical sensor may be 0.0535. However, Table 1 described above is merely an example, and it is understood that threshold values ​​different from those in Table 1 may be identified. Meanwhile, in one example, information regarding the threshold value corresponding to the identified dehydration amount, including Table 1 described above, may be stored in memory (130), but is not limited thereto, and in one example, the electronic device (100) may obtain information regarding the threshold value corresponding to the identified dehydration amount from an external device (e.g., a server or a user terminal).

[0050] According to one embodiment, the processor (120) can identify whether the user has consumed water based on the identified threshold value and sensing data. According to one example, the processor (120) can identify the amount of change in the sensing data over a preset time.

[0051] According to one example, the processor (120) may identify the amount of change in impedance magnitude over a preset time (e.g., 15 minutes) based on sensing data obtained from an impedance sensor. Alternatively, according to one example, the processor (120) may identify the amount of change in the ratio of impedance magnitude by frequency over a preset time. For example, the processor (120) may identify the ratio of the second impedance magnitude corresponding to a second frequency (e.g., 5 kHz) to the first impedance magnitude corresponding to a first frequency (e.g., 100 kHz) for each of a first time point and a second time point 15 minutes after the first time point, and identify the amount of change in the ratio by comparing the ratios at each identified time point.

[0052] Alternatively, according to one example, the processor (120) may identify the amount of change in sensing data (e.g., optical signal) output through an optical sensor (e.g., PPG sensor) during a preset time (e.g., the amount of change in the peak value of the waveform during a preset time). Alternatively, for example, the processor (120) may identify the ratio of a second peak value corresponding to a second wavelength (e.g., 945 nm) to a first peak value corresponding to a first wavelength (e.g., 645 nm) for each of a first time point and a second time point, and identify the amount of change in the ratio by comparing the ratios at each of the identified time points. However, it is not limited thereto, and according to one example, the processor (120) may identify the amount of change in only different types of data (e.g., AC (alternating current) components or direct current components included in the waveform) obtained from the optical sensor. According to one example, the processor (120) may identify the amount of change in the user's skin surface temperature over a preset time.

[0053] According to one example, the processor (120) can identify whether the user has consumed water by comparing the amount of change in sensing data over a preset time with an identified threshold value. For example, the processor (120) can identify that the user has consumed water by comparing the amount of change obtained from an impedance sensor with a threshold value corresponding to the impedance sensor, if the amount of change exceeds the threshold value. Alternatively, for example, the processor (120) can identify that the user has consumed water by comparing the amount of change obtained from an optical sensor with a threshold value corresponding to the optical sensor, if the amount of change exceeds the threshold value.

[0054] According to one example, the processor (120) may identify that the user has consumed water if the amount of change obtained from the impedance sensor exceeds a threshold value corresponding to the impedance sensor and the amount of change obtained from the optical sensor exceeds a threshold value corresponding to the optical sensor. According to one example, the processor (120) may identify that the user has not consumed water if the amount of change of skin surface temperature obtained from the temperature sensor is less than a threshold value, even if the amount of change corresponding to each of the impedance sensor and the optical sensor exceeds a threshold value. Alternatively, according to one example, the processor (120) may determine whether the user has consumed water based on the user's voice obtained through a microphone. This will be described later.

[0055] According to one example, the processor (120) can identify the user's water intake based on the amount of change in sensing data. According to one example, the processor (120) can identify the user's water intake by inputting the amount of change in sensing data over a preset time period into a preset algorithm. For example, the processor (120) can obtain the user's water intake by inputting the sensing data over a preset time period into a learned neural network model. Alternatively, according to one example, the processor (120) can detect whether the user is dehydrated by inputting the sensing data over a preset time period into a learned neural network model.

[0056] According to one example, the trained neural network model may be a model trained to output the user's water intake when sensing data acquired during a preset time (e.g., at least one of sensing data acquired from an impedance sensor, sensing data acquired from an optical sensor, and sensing data acquired from a temperature sensor) is input. According to one example, the trained neural network model may output the user's water intake by setting the sensing data related to the user's bio-information in a normal state of body water as a reference value. However, it is not limited thereto, and according to one example, the processor (120) may acquire the user's water intake from the sensing data using a preset computational algorithm.

[0057] According to one embodiment, if the processor (120) identifies the user's water intake based on acquired sensing data, it may update the amount of dehydration based on the identified water intake. According to one example, it may be assumed that the user's amount of dehydration is 1400 ml (milliliter). If the processor (120) identifies that the user's water intake is 500 ml based on the change in sensing data, it may update the user's amount of dehydration to 900 ml. Alternatively, it may be assumed that the user's dehydration rate is identified as 2.0%. If the processor (120) identifies that the user's water intake is 0.5% based on the change in sensing data, it may update the user's dehydration rate to 1.5%.

[0058] According to one embodiment, the processor (120) can identify whether the user has consumed water based on the updated amount of dehydration. According to one example, the processor (120) can update a threshold value corresponding to the updated amount of dehydration. According to one example, the processor (120) can identify the amount of change in sensing data over a preset time period after the amount of dehydration is updated. The processor (120) can re-identify whether the user has consumed water by comparing the updated threshold value with the amount of change in sensing data. According to one example, the processor (120) can re-identify the amount of dehydration of the user by identifying the amount of water consumed by the user based on the amount of change in sensing data over a preset time period after the update.

[0059] According to one embodiment, the processor (120) may provide feedback information. According to one example, the processor (120) may provide feedback information based on at least one of the amount of dehydration of the user and whether the user has consumed water. According to one example, the processor (120) may provide information about the user's current body water status (or current dehydration status). Alternatively, according to one example, the processor (120) may provide a notification related to the dehydration status to the user based on a reference value (e.g., 2.0%) for the dehydration rate. For example, the processor (120) may compare the user's dehydration rate with the reference value (2.0%). When the dehydration rate reaches the reference value, the processor (120) may provide a user interface (UI) to notify the user of dehydration through a display (e.g., the display (140) of FIG. 9). Alternatively, the processor (120) may output a voice signal to notify the user of dehydration through a speaker (e.g., the speaker (170) of FIG. 9).

[0060] According to one example, the processor (120) may provide a notification to the user at a preset notification cycle. According to one example, the processor (120) may identify a notification cycle based on historical information related to the user's water intake. For example, the processor (120) may identify historical information regarding the time elapsed until the user actually consumes water after a dehydration notification is provided to the user, and identify a personalized notification cycle based on the identified historical information. According to one example, the processor (120) may periodically update the notification cycle based on historical information regarding the elapsed time.

[0061] According to one example, the processor (120) may provide notifications at different notification intervals based on the amount or rate of dehydration of the user. For example, if the user's dehydration rate is identified as 2%, the processor (120) may provide notifications at 10-minute intervals. Or, for example, if the user's dehydration rate is identified as 3%, the processor (120) may provide notifications at 7-minute intervals. Or, for example, if the user's dehydration rate is identified as 4%, the processor (120) may provide notifications at 5-minute intervals. However, this is not limited thereto, and it is understood that notifications may be provided at intervals different from the examples described above. According to one example, the processor (120) may stop providing notifications when the user's water intake is detected.

[0062] The biosignals regarding a user's body hydration status exhibit oscillations due to homeostasis. When the user's body hydration status is normal, the degree of oscillation is relatively large; consequently, whether the user has consumed water can be identified when there is a relatively large change in the biosignals. On the other hand, when the user's body hydration status is abnormal (e.g., dehydration), the degree of oscillation is relatively small; consequently, whether the user has consumed water can be identified even when there is a relatively small change in the biosignals.

[0063] As described above, when a user is in a dehydrated state, the sensitivity to changes in the amount of biological signals increases according to the degree of dehydration. Therefore, the electronic device (100) of the present invention can detect whether the user has consumed water more accurately by changing and applying a threshold value corresponding to each sensor according to the amount of dehydration. In addition, according to the example described above, the electronic device (100) can continuously monitor the user's body water status, including whether the user has consumed water and the amount of water consumed, at preset intervals.

[0064] FIG. 3 is a flowchart illustrating the operation method of an electronic device according to one embodiment.

[0065] According to FIG. 3, according to one embodiment, the operation method may include an operation (S310) of identifying a first threshold value corresponding to the first dehydration amount when the first dehydration amount of a user is identified based on sensing data obtained through at least one sensor (110).

[0066] According to one example, the electronic device (100) can identify a first amount of dehydration of a user based on sensing data obtained through at least one sensor (110). According to one example, the electronic device (100) can identify a first threshold value corresponding to the identified first amount of dehydration. According to one example, when the amount of dehydration (or dehydration rate) of a user is identified based on sensing data obtained through at least one sensor (110), the electronic device (100) can identify a threshold value corresponding to the identified amount of dehydration. According to one example, the electronic device (100) can identify a threshold value corresponding to each of at least one type of sensor for the identified amount of dehydration (or dehydration rate) as shown in Table 1 of FIG. 2.

[0067] According to one embodiment, the operation method may include an operation (S320) of identifying whether a user has consumed water based on the amount of change in sensing data during a first time period and an identified first threshold value.

[0068] According to one example, the electronic device (100) can identify the amount of change in sensing data during a first time period. According to one example, when the amount of change in sensing data during the first time period is identified, the electronic device (100) can identify whether the user has consumed water based on the identified amount of change in sensing data during the first time period and the identified first threshold value.

[0069] FIG. 4 is a flowchart illustrating a method for updating water intake according to one embodiment.

[0070] According to FIG. 4, according to one embodiment, the operation method may include an operation (S410) of identifying that the user has consumed water when the amount of change exceeds a first threshold value.

[0071] According to one example, the electronic device (100) can identify whether the user has consumed water by comparing the amount of change in sensing data over a preset time (e.g., 15 minutes) with an identified threshold value. For example, the electronic device (100) can identify that the user has consumed water by comparing the amount of change in sensing data over a first time obtained from an impedance sensor with a threshold value corresponding to the impedance sensor, if the amount of change exceeds the threshold value. Alternatively, for example, the electronic device (100) can identify that the user has consumed water by comparing the amount of change in sensing data over a first time obtained from an optical sensor with a threshold value corresponding to the optical sensor, if the amount of change exceeds the threshold value.

[0072] Alternatively, according to one example, a case may be assumed in which the user's water intake is identified based on sensing data obtained from an optical sensor. The electronic device (100) may identify the ratio of a second peak value corresponding to a second wavelength (e.g., 945 nm) to a first peak value corresponding to a first wavelength (e.g., 645 nm) for each of a first time point and a second time point, and may identify the amount of change in the ratio by comparing the ratios at each identified time point. The electronic device (100) may identify whether the user's water intake is identified by comparing the amount of change in the identified ratio with a threshold value corresponding to the optical sensor.

[0073] For example, the electronic device (100) can identify whether the user has consumed water using the following mathematical formula 1.

[0074]

[0075] In mathematical formula 1, represents the peak value at time 't-15' (min) based on wavelength 'C', and represents the peak value at time 't-15' based on the 'D' wavelength, which is different from 'C'. represents the peak value at time 't' (min) based on wavelength 'C', and represents the peak value at time 't' based on wavelength 'D'. represents a threshold value corresponding to the PPG sensor. The electronic device (100) can identify that the user has consumed water when mathematical formula 1 is satisfied.

[0076] However, it is not limited thereto, and according to one example, the electronic device (100) may identify only the amount of change of different types of data (e.g., AC (alternating current) components or direct current components included in the waveform) obtained from the optical sensor.

[0077] Alternatively, according to one example, a case may be assumed in which the user's water intake is identified based on sensing data obtained from an impedance sensor. The electronic device (100) can identify, for each of the third and fourth time points, the ratio of the impedance magnitude corresponding to the second frequency to the impedance magnitude corresponding to the first frequency as sensing data within a preset frequency range (e.g., a frequency range of 1 kHz (kilohertz) or more and 3 MHz (megahertz) or less), and can identify the amount of change in the ratio by comparing the ratios at each identified time point. The electronic device (100) can identify whether the user's water intake is identified by comparing the amount of change in the identified ratio with a threshold value corresponding to the impedance sensor.

[0078] For example, the electronic device (100) can identify whether the user has consumed water using the following mathematical formula 2.

[0079]

[0080] In mathematical formula 2, represents the magnitude of the impedance at time 't-15' (min) based on frequency 'A', and represents the magnitude of the impedance at time 't-15', based on the 'B' frequency, which is different from 'A'. represents the magnitude of the impedance at time 't' (min) with respect to wavelength 'A', and represents the magnitude of the impedance at time 't' based on wavelength 'B'. represents a threshold value corresponding to the impedance sensor. The electronic device (100) can identify that the user has consumed water when it is identified that mathematical formula 2 is satisfied.

[0081] According to one example, the electronic device (100) may identify the amount of change in the user's skin surface temperature over a preset time. According to one example, the electronic device (100) may identify that the user has consumed water if the amount of change in the skin surface temperature exceeds a preset threshold value.

[0082] Alternatively, according to one example, the electronic device (100) may identify whether the user has consumed water based on at least one of mathematical formula 1 and mathematical formula 2.

[0083] Alternatively, according to one example, the electronic device (100) may identify whether the user has consumed water by using voice data obtained through a microphone (e.g., the microphone (180) of FIG. 9). For example, the electronic device (100) may identify whether the user has consumed water by using information about voice data related to voices corresponding to water consumption (e.g., the sound of a person swallowing water or the sound of water moving through a straw) and voice data obtained through the microphone. According to one example, the electronic device (100) may identify whether the user has consumed water and the amount of water consumed by the user by using the size of the voice data (e.g., the relative size of the sound of drinking water) or the duration of the voice corresponding to water consumption. For example, the electronic device (100) may identify whether the user has consumed water and the amount of water consumed by the user by using a neural network model trained to output information about whether the user has consumed water and the amount of water consumed when the user's voice data is input.

[0084] According to one embodiment, the operation method may include an operation (S420) of updating a first dehydration amount based on the identified water intake amount when the user's water intake amount is identified based on the acquired sensing data.

[0085] According to one example, the electronic device (100) can identify the user's water intake based on the amount of change in sensing data. According to one example, the electronic device (100) can identify the user's water intake by inputting the amount of change in sensing data over a preset period into a preset algorithm. For example, the electronic device (100) may obtain the user's water intake by inputting the sensing data over a preset period into a learned neural network model.

[0086] According to one example, when the user's water intake is identified, the electronic device (100) can update the amount of dehydration based on the identified water intake. According to one example, it may be assumed that the user's amount of dehydration is 1200 ml (milliliter). When the electronic device (100) identifies that the user's water intake is 500 ml based on the change in sensing data, it can update the user's amount of dehydration to 700 ml.

[0087] Alternatively, it may be assumed that the user's dehydration rate is identified as 3.0%. The electronic device (100) may update the user's dehydration rate to 2.5% if it identifies that the user's water intake is 0.5% based on the amount of change in sensing data.

[0088] FIG. 5 is a flowchart illustrating an operation for identifying whether water is consumed according to one embodiment.

[0089] According to FIG. 5, according to one embodiment, the operation method may include an operation (S510) of identifying a second dehydration amount (or second dehydration rate) that is updated with a first dehydration amount (or first dehydration rate) based on an identified water intake amount.

[0090] According to one example, if the electronic device (100) identifies the user's water intake based on acquired sensing data, it can update the amount of dehydration based on the identified water intake. According to one example, it may be assumed that the user's amount of dehydration is 1000 ml (milliliter). If the electronic device (100) identifies that the user's water intake is 300 ml based on the change in sensing data, it can update the user's amount of dehydration to 700 ml. Alternatively, it may be assumed that the user's dehydration rate is identified as 1.1%. If the electronic device (100) identifies that the user's water intake rate is 0.9% based on the change in sensing data, it can update the user's dehydration rate to 0.2%.

[0091] According to one embodiment, the operation method may include an operation (S520) of identifying whether a user has consumed water based on a second threshold value corresponding to a change in sensing data during a second time period and a second amount of dehydration (or a second dehydration rate).

[0092] According to one example, the electronic device (100) can update a threshold value corresponding to the updated dehydration amount. For example, a case can be assumed where the dehydration rate before the update is 1.1% and the dehydration rate after the update is 0.2%. Referring to Table 1, the threshold value corresponding to the impedance sensor before the update may be 0.033, and the threshold value corresponding to the impedance sensor after the update may be 0.04.

[0093] According to one example, the electronic device (100) can identify the amount of change in sensing data over a preset time period after the amount of dehydration is updated. The electronic device (100) can re-identify whether the user has consumed water by comparing the updated threshold value with the amount of change in sensing data. For example, the electronic device (100) can identify whether the user has consumed water by comparing the value 0.04, identified as the threshold value corresponding to the impedance sensor after the update, with the amount of change in sensing data over a preset time period after the amount of dehydration is updated.

[0094] According to one example, the electronic device (100) can identify the amount of water intake of the user based on the amount of change in sensing data over a preset time after the update, and re-identify the amount of dehydration of the user.

[0095] According to the example described above, the electronic device (100) can update a threshold value for determining whether the user has consumed water by continuously monitoring and updating the amount of dehydration of the user. Since the electronic device (100) can identify whether the user has consumed water based on the updated threshold value, it can accurately monitor the user's body water.

[0096] FIG. 6 is a flowchart illustrating a method for identifying whether a user has consumed water based on user voice data according to one embodiment.

[0097] According to FIG. 6, according to one embodiment, the operation method may include an operation (S610) of obtaining a change in sensing data during a first time period from the time when voice data corresponding to the user's water intake is obtained.

[0098] According to one example, the electronic device (100) may include a microphone (e.g., the microphone (180) of FIG. 9). According to one example, the electronic device (100) may acquire voice data of a user through the microphone. According to one example, the electronic device (100) may identify whether voice data corresponding to the user's water intake is acquired based on the acquired voice data of the user.

[0099] For example, voice feature information corresponding to the user's water intake (e.g., features regarding the magnitude of the frequency values ​​of the voice over time (or spectrogram)) may be stored in memory (130). The electronic device (100) can identify whether voice data corresponding to the user's water intake has been obtained by comparing the information stored in memory (130) with user voice data received through a microphone. However, it is not limited thereto, and according to one example, the electronic device (100) may identify whether voice data corresponding to the user's water intake has been obtained by using a neural network model trained to determine whether the user has water intake based on the user's voice.

[0100] According to one example, when voice data corresponding to a user's water intake is acquired, the electronic device (100) can acquire the amount of change in sensing data for a first time period from the time when the voice data is acquired. However, it is not limited thereto, and it is also possible to acquire the amount of change in sensing data for a first time period from the time when a second time has elapsed from the time when the voice data corresponding to water intake is acquired.

[0101] According to one embodiment, the operation method may include an operation (S620) of identifying whether the user has consumed water based on an acquired change amount and a first threshold value.

[0102] According to one example, the electronic device (100) can identify a first amount of dehydration of a user and identify a first threshold value corresponding to the identified first amount of dehydration. The electronic device (100) can identify whether the user has consumed water by comparing the amount of change in sensing data during a first time period from the time voice data is acquired with the first threshold value.

[0103] According to the example described above, the electronic device (100) uses voice related to the user's water intake to identify sensing data at a time when it is easy to determine whether the user has consumed water, and uses the identified sensing data to determine whether the user has consumed water.

[0104] FIG. 7 is a flowchart illustrating a method for identifying whether a user has consumed water using a plurality of sensors according to one embodiment.

[0105] According to FIG. 7, according to one embodiment, the operation method may include an operation (S710) of comparing a first change amount of sensing data obtained through a first sensor during a first time period and a third threshold value, and comparing a second change amount of sensing data obtained through a second sensor during a first time period and a fourth threshold value.

[0106] According to one example, at least one sensor (110) may include a first sensor and a second sensor. According to one example, each of the first sensor and the second sensor may be implemented as an impedance measurement sensor, an optical sensor, and a temperature sensor. For example, the first sensor may be implemented as an impedance sensor and the second sensor may be implemented as an optical sensor, but is not limited thereto. According to one example, there may be a threshold value corresponding to each sensor. For example, a third threshold value corresponding to the first sensor and a fourth threshold value corresponding to the second sensor may be included in the first threshold value.

[0107] According to one example, the electronic device (100) can compare a first change amount of sensing data over a first time period obtained through a first sensor with a third threshold value corresponding to the first sensor. According to one example, the electronic device (100) can compare a second change amount of sensing data over a second time period obtained through a second sensor with a fourth threshold value corresponding to the second sensor.

[0108] According to one embodiment, the operation method may include an operation (S720) of identifying that the user has consumed water when the first change amount exceeds a third threshold value and the second change amount exceeds a fourth threshold value.

[0109] According to one example, the electronic device (100) can identify whether a change amount corresponding to each sensor exceeds a threshold value corresponding to each sensor. According to one example, the electronic device (100) can identify that the user has consumed water if a first change amount corresponding to a first sensor exceeds a third threshold value and a second change amount corresponding to a second sensor exceeds a fourth threshold value.

[0110] FIG. 8 is a diagram illustrating the change in threshold value according to the user's dehydration rate according to one embodiment.

[0111] According to FIG. 8, in one embodiment, the electronic device (100) can update a threshold value according to the user's dehydration rate and determine whether the user has consumed water based on the updated threshold value.

[0112] For example, referring to the graph (800) illustrated in FIG. 8, the X-axis of the graph (800) represents the dehydration rate, and the Y-axis represents raw data related to the user's biosignal. The body's biosignal may be a vibrating pattern to maintain homeostasis.

[0113] When a user's body water content is normal, the body's vital signs change at a constant rate to maintain homeostasis, whereas in a dehydrated state, the degree of change decreases; therefore, the threshold value for detecting water intake must be adjusted according to the degree of dehydration to accurately detect whether the user is dehydrated and whether they are consuming water.

[0114] For example, when the user's dehydration rate is relatively low, the range of change is larger compared to when the user's dehydration rate is relatively high; accordingly, the threshold value for determining whether the user has consumed water must also be relatively large. For instance, a first threshold value corresponding to a relatively low dehydration rate may have a relatively larger value compared to a second threshold value corresponding to a relatively high dehydration rate.

[0115] Meanwhile, if the size of a single threshold is reduced to increase sensitivity, the accuracy of detecting whether a user has consumed water in a normal body water state may decrease. Alternatively, if the size of a single threshold is increased to increase specificity, the accuracy of detecting whether a user has consumed water may decrease. According to the present invention, it is possible to identify whether a user has consumed water by using threshold values ​​of different sizes depending on the user's dehydration rate, and accordingly, the user's body water status can be accurately monitored.

[0116] Returning to FIG. 2, according to one embodiment, the electronic device (100) may be implemented as a device other than a wearable device.

[0117] In one example, the electronic device (100) may be implemented as a user terminal (e.g., a smartphone, a tablet personal computer, a notebook, or a desktop computer). Alternatively, in one example, the electronic device (100) may be implemented as a server.

[0118] According to one example, if the electronic device (100) is implemented as a user terminal or a server, the electronic device (100) can acquire sensing data obtained through at least one sensor of a wearable device via a communication circuit (e.g., the communication circuit (160) of FIG. 9). Based on the acquired sensing data, the electronic device (100) can identify different types of information including the amount of dehydration of the user, a threshold value corresponding to the amount of dehydration, whether the user has consumed water, and feedback information. For example, the electronic device (100) can identify whether the user has consumed water based on the amount of change in sensing data over a preset time and the identified threshold value. Alternatively, for example, if the amount of water consumed by the user is identified based on the sensing data, the electronic device (100) may update the identified amount of dehydration based thereon and identify whether the user has consumed water based on the updated amount of dehydration. However, this is not limited thereto, and it is obvious that at least some of the operations of the aforementioned electronic device (100) may be performed in the electronic device (100), and the remaining operations may be performed in a wearable device.

[0119] According to one example, the electronic device (100) may transmit identified information to a wearable device. According to one example, the wearable device may provide feedback information to the user based on the identified information. Alternatively, according to one example, the electronic device (100) may provide feedback information to the user. For example, the electronic device (100) may provide a notification related to the dehydration status to the user directly, or provide a notification related to the dehydration status to the wearable device by transmitting information about the notification to the wearable device.

[0120] FIG. 9 is a block diagram showing the detailed configuration of an electronic device according to one embodiment.

[0121] According to FIG. 9, the electronic device (100') may include at least one sensor (110), at least one processor (120), memory (130), display (140), user interface (150), communication circuit (160), speaker (170) and microphone (180), and input / output interface (190). A detailed description of configurations shown in FIG. 9 that overlap with configurations shown in FIG. 2 will be omitted.

[0122] The display (140) may be implemented as a display including a self-emissive element or as a display including a non-emissive element and a backlight. For example, it may be implemented as various types of displays such as an LCD (Liquid Crystal Display), an OLED (Organic Light Emitting Diodes) display, an LED (Light Emitting Diodes), a micro LED, a Mini LED, a PDP (Plasma Display Panel), a QD (Quantum dot) display, or a QLED (Quantum dot light-emitting diodes). The display (140) may also include a driving circuit, a backlight unit, etc., which can be implemented in the form of an a-si TFT, an LTPS (low temperature poly silicon) TFT, an OTFT (organic TFT), etc. Meanwhile, the display (140) may be implemented as a touch screen combined with a touch sensor, a flexible display, a rollable display, a 3D display, a display in which a plurality of display modules are physically connected, etc. The processor (120) can control the display (140) to output an output image obtained according to the various embodiments described above. Here, the output image may be a high-resolution image of 4K or 8K or higher. According to one embodiment, the output image may be a game image.

[0123] According to one embodiment, the display (140) may include a plurality of haptic elements. The haptic elements may be implemented as motors to provide haptic feedback (e.g., vibration feedback) to a user, but are not limited thereto. According to one example, the display (140) may include a predetermined number of haptic elements. For example, the display (140) may include a predetermined number of haptic elements corresponding to a predetermined number of sub-regions of the display, but is not limited thereto, and it is obvious that the display may include a number of haptic elements different from the number of sub-regions corresponding to the display.

[0124] The user interface (150) is a configuration for the electronic device (100') to perform interaction with the user. For example, the user interface (150) may include at least one of a touch sensor, a motion sensor, a button, a jog dial, a switch, a microphone, or a speaker, but is not limited thereto.

[0125] The communication circuit (160) can input and output various types of data. For example, the communication circuit (160) can transmit and receive various types of data to and from an external device (e.g., source device), an external storage medium (e.g., USB memory), an external server (e.g., web hard drive) through communication methods such as AP-based Wi-Fi (Wi-Fi, Wireless LAN network), Bluetooth, Zigbee, wired / wireless LAN (Local Area Network), WAN (Wide Area Network), Ethernet, IEEE 1394, HDMI (High-Definition Multimedia Interface), USB (Universal Serial Bus), MHL (Mobile High-Definition Link), AES / EBU (Audio Engineering Society / European Broadcasting Union), Optical, Coaxial, etc.

[0126] According to one example, the communication circuit (160) may include a BLE (Bluetooth Low Energy) module. BLE refers to Bluetooth technology capable of transmitting and receiving low-power, low-capacity data in a 2.4 GHz frequency band with a range of about 10 m. However, it is not limited thereto, and the communication circuit (160) may include a Wi-Fi communication module. That is, the communication circuit (160) may include at least one of a BLE (Bluetooth Low Energy) module or a Wi-Fi communication module.

[0127] According to one embodiment, the speaker (170) may be composed of a tweeter for reproducing high-frequency sound, a midrange for reproducing mid-frequency sound, a woofer for reproducing low-frequency sound, a subwoofer for reproducing ultra-low-frequency sound, an enclosure for controlling resonance, and a crossover network for dividing the frequency of an electrical signal input to the speaker into bands.

[0128] According to one embodiment, the speaker (170) can output an acoustic signal to the outside of the electronic device (100'). The speaker (170) can output multimedia playback, recording playback, various notification sounds, voice messages, etc. The electronic device (100') may include an audio output device such as the speaker (170), but may include an output device such as an audio output terminal. In particular, the speaker (170) can provide acquired information, information processed or produced based on the acquired information, response results or operation results to user voice, etc., in the form of voice.

[0129] The microphone (180) may refer to a module that acquires sound and converts it into an electrical signal, and may be a condenser microphone, ribbon microphone, moving coil microphone, piezoelectric element microphone, carbon microphone, or MEMS (Micro Electro Mechanical System) microphone. Additionally, it may be implemented in omnidirectional, bidirectional, unidirectional, subcardioid, supercardioid, or hypercardioid modes. According to one embodiment, the electronic device (100') may include a microphone (180) and an inner microphone, and the microphone (180) may be a microphone located relatively outside the body. According to one example, the electronic device (100') may acquire an audio signal including external noise through the microphone (180). According to one embodiment, the microphone (180) may be positioned in a direction opposite to the direction in which the speaker (170) emits sound.

[0130] The input / output interface (190) may be any one of the following interfaces: HDMI (High Definition Multimedia Interface), MHL (Mobile High-Definition Link), USB (Universal Serial Bus), DP (Display Port), Thunderbolt, VGA (Video Graphics Array) port, RGB port, D-SUB (D-subminiature), and DVI (Digital Visual Interface). The input / output interface (190) may input and output at least one of audio and video signals. Depending on the implementation example, the input / output interface (190) may include separate ports for inputting and outputting only audio signals and for inputting and outputting only video signals, or it may be implemented as a single port for inputting and outputting both audio and video signals. Meanwhile, the electronic device (100') may transmit at least one of the audio and video signals to an external device (e.g., an external display device or an external speaker) through the input / output interface (190). Specifically, an output port included in the input / output interface (190) can be connected to an external device, and the electronic device (100') can transmit at least one of audio and video signals to the external device through the output port.

[0131] According to the example described above, the electronic device (100') can update a threshold value for determining whether the user has consumed water by continuously monitoring and updating the amount of dehydration of the user. Since the electronic device (100') can identify whether the user has consumed water based on the updated threshold value, it can accurately monitor the user's body water.

[0132] Meanwhile, according to the exemplary embodiments of the present disclosure, the various embodiments described above may be implemented as software comprising instructions stored on a machine-readable storage medium (e.g., a computer). The machine may include a display device (e.g., a display device (A)) according to the disclosed embodiments, which is a device capable of calling instructions stored from the storage medium and operating according to the called instructions. When instructions are executed by a processor, the processor may perform a function corresponding to the instructions directly or by using other components under the control of the processor. Instructions may include code provided or executed by a compiler or an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, "non-transitory" means only that the storage medium does not contain a signal and is tangible, and does not distinguish whether data is stored semi-permanently or temporarily in the storage medium.

[0133] Additionally, according to one embodiment, the method according to the various embodiments described above may be provided by being included in a computer program product. The computer program product may be traded between a seller and a buyer as a product. The computer program product may be distributed online in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)) or through an application store (e.g., Play Store™). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or provided on a storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0134] Additionally, each component (e.g., module or program) according to the various embodiments described above may be composed of a single or multiple entities, and some of the aforementioned sub-components may be omitted, or other sub-components may be further included in the various embodiments. Generally or additionally, some components (e.g., module or program) may be integrated into a single entity to perform the functions performed by each of the respective components prior to integration in the same or similar manner. The operations performed by the module, program, or other components according to the various embodiments may be executed sequentially, in parallel, iteratively, or heuristically, or at least some operations may be executed in a different order, omitted, or other operations added.

[0135] Although preferred embodiments of the present disclosure have been illustrated and described above, the present disclosure is not limited to the specific embodiments described above. It is understood that various modifications can be made by those skilled in the art without departing from the essence of the present disclosure as claimed in the claims, and such modifications should not be understood individually from the technical spirit or perspective of the present disclosure. Explanation of the symbols

[0136] Electronic devices: 100 At least one sensor: 110 At least one processor: 120 Memory: 130

Claims

Claim 1 An electronic device comprising: at least one sensor; at least one processor including processing circuitry; and a memory for storing instructions; wherein, when the instructions are executed individually or collectively by the at least one processor, the electronic device identifies a first threshold value corresponding to the first amount of dehydration of a user based on sensing data acquired through the at least one sensor, and identifies whether the user has consumed water based on the amount of change in the sensing data over a first time period and the identified first threshold value. Claim 2 An electronic device according to claim 1, wherein, when the instructions are executed individually or collectively by the at least one processor, the electronic device identifies that the user has consumed water when the amount of change exceeds the first threshold value, and updates the first amount of dehydration based on the identified amount of water intake when the amount of water intake of the user is identified based on the acquired sensing data. Claim 3 An electronic device according to claim 1, wherein, when the instructions are executed individually or collectively by the at least one processor, the electronic device identifies a second dehydration amount with the first dehydration amount updated based on the identified water intake amount, and identifies whether the user has consumed water based on the amount of change in the sensing data during a second time period and a second threshold value corresponding to the second dehydration amount. Claim 4 An electronic device according to claim 1, further comprising a microphone; wherein, when the instructions are executed individually or collectively by the at least one processor, the electronic device identifies whether the user has consumed water based on the amount of change in the sensing data during the first time period and the identified first threshold value when voice data corresponding to the user's water intake is obtained through the microphone. Claim 5 In paragraph 4, the electronic device, when the instructions are executed individually or collectively by the at least one processor, acquires a change in sensing data during the first time period from the point in time when voice data corresponding to the user's water intake is acquired, and identifies whether the user has water intake based on the acquired change and the first threshold value. Claim 6 In claim 1, the at least one sensor comprises at least one of a first sensor and a second sensor, and the first threshold value comprises a third threshold value corresponding to the first sensor and a fourth threshold value corresponding to the second sensor, and when the instructions are executed individually or collectively by the at least one processor, the electronic device compares a first change amount of sensing data obtained through the first sensor during the first time period with the third threshold value and compares a second change amount of sensing data obtained through the second sensor during the first time period with the fourth threshold value, and if the first change amount exceeds the third threshold value and the second change amount exceeds the fourth threshold value, the electronic device identifies that the user has consumed water. Claim 7 An electronic device according to claim 1, wherein the at least one sensor comprises at least one of an impedance measurement sensor, an optical sensor, and a temperature sensor. Claim 8 An electronic device according to claim 1, wherein, when the instructions are executed individually or collectively by the at least one processor, the electronic device provides feedback information based on at least one of the user's first amount of dehydration and whether the user has consumed water. Claim 9 An electronic device according to claim 1, wherein, when the instructions are executed individually or collectively by the at least one processor, the electronic device inputs the acquired sensing data into a learned neural network model to identify at least one of the first amount of dehydration and information regarding whether the user has consumed water. Claim 10 An electronic device according to claim 1, wherein, when the instructions are executed individually or collectively by the at least one processor, the electronic device identifies whether the user has consumed water by comparing at least one of the magnitude of the change in the sensing data or the ratio of the magnitude by frequency to the change with the identified first threshold value. Claim 11 A method of operation of an electronic device comprising: an operation of identifying a first threshold value corresponding to a first amount of dehydration when a first amount of dehydration of a user is identified based on sensing data obtained through at least one sensor; and an operation of identifying whether the user has consumed water based on a change in the sensing data during a first time period and the identified first threshold value. Claim 12 A method of operation according to claim 11, comprising: an operation of identifying that the user has consumed water when the amount of change exceeds the first threshold value; and an operation of updating the first amount of dehydration based on the identified amount of water intake when the amount of water intake of the user is identified based on the acquired sensing data. Claim 13 A method of operation according to claim 11, comprising: identifying a second dehydration amount with the first dehydration amount updated based on the identified water intake amount; and identifying whether the user has consumed water based on the change amount of the sensing data during a second time period and a second threshold value corresponding to the second dehydration amount. Claim 14 A method of operation according to claim 11, wherein when voice data corresponding to the user’s water intake is obtained through a microphone, the operation of identifying whether the user has water intake based on the amount of change in the sensing data during the first time period and the identified first threshold value. Claim 15 A method of operation according to claim 14, comprising: an operation of obtaining a change amount of sensing data during a first time period from the point in time when voice data corresponding to the user's water intake is obtained; and an operation of identifying whether the user has water intake based on the obtained change amount and the first threshold value. Claim 16 In claim 11, the at least one sensor comprises at least one of a first sensor and a second sensor, and the first threshold value comprises a third threshold value corresponding to the first sensor and a fourth threshold value corresponding to the second sensor, and the operation method comprises: an operation of comparing a first change amount of sensing data obtained through the first sensor during the first time period with the third threshold value and comparing a second change amount of sensing data obtained through the second sensor during the first time period with the fourth threshold value; and an operation of identifying that the user has consumed water if the first change amount exceeds the third threshold value and the second change amount exceeds the fourth threshold value. Claim 17 In claim 11, the method of operation wherein the at least one sensor comprises at least one of an impedance measurement sensor, an optical sensor, and a temperature sensor. Claim 18 A method of operation comprising, in claim 11, providing feedback information based on at least one of the first amount of dehydration of the user and whether the user has consumed water. Claim 19 A method of operation according to claim 11, comprising the operation of inputting the acquired sensing data into a learned neural network model to identify at least one of the first amount of dehydration and information regarding whether the user has consumed water. Claim 20 A storage medium for storing computer-readable instructions, wherein the instructions, when executed by at least one processor of an electronic device traveling in a driving space, cause the electronic device to identify a first threshold value corresponding to the first amount of dehydration when a first amount of dehydration of a user is identified based on sensing data acquired through at least one sensor, and to identify whether the user has consumed water based on the amount of change in the sensing data over a first time period and the identified first threshold value.

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