Patent Description:
As portable electronic devices such as smartphones or wearable devices have come into wide use, technologies for monitoring a user's exercise state using an electronic device and providing an appropriate service for the user have been increased. For example, an electronic device may measure calories (or energy) consumed while a user does exercise, and may inform the user of the measured calorie consumption. The electronic device may provide an environment in which the user is capable of consistently doing exercise, by a method of informing the user of calorie consumption and exercise efficiency.

As prior art is cited <CIT> showing a personalized nutritional and wellness assistant pertaining to the establishment, implementation and management of a personalized information system pertinent to a user's general health, wellness and/or sport performance.

Accordingly, an aspect of the disclosure is to provide an electronic device that measures a metabolite or a heart rate of a user without using separate large equipment, thereby measuring not only calorie consumption but also energy sources used to consume calories.

A method for measuring calorie consumption may include, for example, a method based on respiratory gas analysis and a method based on statistics. The method based on respiratory gas analysis may refer to a method of measuring calorie consumption using oxygen and carbon dioxide contained in respiratory gas of a user. Because the amount of oxygen required for oxidation of fat molecules differs from the amount of oxygen required for oxidation of carbohydrate molecules, not only calorie consumption but also energy sources (carbohydrate, protein, and fat) used to consume calories may be measured using respiratory gas. However, to analyze the user's respiratory gas, an electronic device has to be equipped with a nose clip and separate large equipment for gas capture, and therefore the portability of the electronic device and user convenience may be degraded.

In the case of using the method based on statistics, an electronic device may store, in a memory, statistical information about calorie consumption previously measured according to the type of exercise and exercise time. The electronic device, when receiving a user input for selecting exercise time, the type of exercise, age, or weight, may calculate calorie consumption of a user through the stored statistical information and the information according to the user input. In the case of the method based on statistics, the electronic device does not need to be equipped with separate measurement equipment, but may not measure energy sources used to consume calories. For example, in a case where the user does an exercise aimed at burning off fat, such as an aerobic exercise, the user may inefficiently repeat the exercise without knowing a fat burning zone if the electronic device cannot detect whether fat is burned off.

In accordance with an aspect of the disclosure, an electronic device according to the appended independent device claim is provided.

In accordance with another aspect of the disclosure, a method of an electronic device according to the appended independent method claim is provided.

Hereinafter, various embodiments of the disclosure will be described with reference to accompanying drawings. However, those of ordinary skill in the art will recognize that various modifications, equivalents, and/or alternatives can be made to the various embodiments described herein without departing from the scope of the disclosure.

<FIG> is a graph <NUM> depicting calorie consumption and fat burning zones depending on an exercise state according to various embodiments of the disclosure. The graph <NUM> illustrated in <FIG> is merely illustrative, and the relationship between the exercise state, the calorie consumption, and the fat burning zones included in the graph <NUM> is not limited to the example illustrated in <FIG>.

Referring to <FIG>, the horizontal axis of the graph <NUM> may represent time (unit: minute). The vertical axis of the graph <NUM> may represent calorie consumption or fat consumption (unit: kcal/min) and exercise intensity according to various embodiments of the disclosure. Although <FIG> illustrates exercise intensity as an example, the graph <NUM> may represent a different exercise state other than the exercise intensity. The exercise state may include at least one of, for example, exercise intensity, the type of exercise, exercise speed, and exercise time.

According to an embodiment, the graph <NUM> may include first data <NUM> representing a variation in calorie consumption over time, second data <NUM> representing a variation in fat consumption over time, and third data <NUM> representing a variation in exercise intensity over time. According to an embodiment, the graph <NUM> may include data representing a variation in exercise speed over time other than the exercise intensity.

According to an embodiment, a user of the electronic device <NUM> may consume calories while doing exercise. The electronic device <NUM> may measure the calorie consumption, based on previously stored user information (e.g., age, weight, or gender) and an exercise state measured during the user's exercise. Alternatively, the electronic device <NUM> may measure the calorie consumption, based on user information and the user's heart rate information measured during the user's exercise.

According to an embodiment, the calorie consumption may vary depending on time and an exercise state. For example, as represented by the first data <NUM> and the third data <NUM>, the calorie consumption may increase with an increase in the user's exercise intensity and may decrease with a decrease in the user's exercise intensity. Energy sources that consume the user's calories may include, for example, carbohydrate, protein, and fat. The percentages of the energy sources used when calories are consumed may vary depending on time and an exercise state. For example, as represented by the second data <NUM>, fat may be burned off in a first zone <NUM> and a second zone <NUM> while calories are consumed, but may not be burned off in a third zone <NUM> while calories are consumed.

In the following embodiments, the electronic device <NUM> may detect the first zone <NUM> and the second zone <NUM> in which fat is burned off (or consumed) while the user does exercise, through the user's metabolite information or the user's heart rate information, thereby providing information regarding the user's exercise state. For example, the electronic device <NUM> may determine, in real time, whether fat is burned off while the user does exercise and may guide a way for the user to exercise, based on whether fat is burned off. In this case, the electronic device <NUM> may lead the user to maintain an exercise state (e.g., exercise intensity, the type of exercise, or exercise speed) that corresponds to a zone in which fat is burned off. In another example, the electronic device <NUM> may measure an exercise state, calorie consumption, and fat consumption from start to finish of the user's exercise and may store the measured data (e.g., the first data <NUM>, the second data <NUM>, and the third data <NUM> in the graph <NUM>). The electronic device <NUM> may recommend an appropriate way for the user to exercise, based on the stored data.

<FIG> is a block diagram illustrating the electronic device <NUM> for determining a fat burning zone according to various embodiments of the disclosure.

Referring to <FIG>, the electronic device <NUM> may include a first sensor module <NUM> (e.g., a first sensor), a second sensor module <NUM> (e.g., a second sensor), a processor <NUM> (e.g., the processor <NUM> of <FIG>), at least one output device <NUM>, and a memory <NUM> (e.g., the memory <NUM> of <FIG>). According to an embodiment, the electronic device <NUM> may omit at least one of the first sensor module <NUM>, the second sensor module <NUM>, the at least one output device <NUM>, and the memory <NUM>.

According to an embodiment, the first sensor module <NUM> may sense a movement of the electronic device <NUM>. The first sensor module <NUM> may include a motion sensor, which may be, for example, an acceleration sensor, a gyro sensor, a geo-magnetic sensor, or an atmospheric pressure sensor. The first sensor module <NUM> may sense the movement of the electronic device <NUM> by obtaining a signal generated by the movement of the electronic device <NUM> and transferring the obtained signal to the processor <NUM>. The electronic device <NUM> may identify a user's exercise state corresponding to the movement of the electronic device <NUM> by detecting the movement of the electronic device <NUM> through the first sensor module <NUM>.

According to an embodiment, the electronic device <NUM> may omit the first sensor module <NUM>. For example, an external electronic device (e.g., the electronic device <NUM> or the electronic device <NUM> of <FIG>) in communication with the electronic device <NUM> may identify the user's exercise state through a sensor module that performs a function corresponding to the first sensor module <NUM>. The electronic device <NUM> may identify the exercise state by receiving motion information corresponding to the exercise state from the external electronic device. In this case, the external electronic device may refer to a wearable device, a medical appliance, a smartphone, a tablet PC, a nearable device, or a patch that is worn on the user's body, and the electronic device <NUM> may refer to a smartphone, a tablet PC, or a wearable device that is distinct from the external electronic device.

According to an embodiment, the second sensor module <NUM> may sense a metabolite of the user. The second sensor module <NUM> may include at least one of, for example, a colorimetric sensor, a semiconductor sensor, and an enzyme sensor that are configured to sense a metabolite. The metabolite may include, for example, lactate or a ketone body. According to an embodiment, anaerobic respiration may occur due to lack of oxygen caused by power exercise of the user. When the anaerobic respiration occurs, lactate may be produced in the user's body. The lactate may suppress fat consumption. Therefore, when a lactate value (e.g., a lactate concentration) increases, fat consumption may decrease. According to an embodiment, when fat breaks down, a fatty acid (<NUM>-lipatic acid) may be produced. The fatty acid may be separated as a diose by a β-oxidation process in mitochondria. While the fatty acid is separated as the diose, a ketone body may be produced. Therefore, when fat consumption increases, a ketone body value (e.g., a ketone body concentration) may increase. The electronic device <NUM> may determine whether fat is burned off in the user's body, by measuring a lactate value or a ketone body value through the second sensor module <NUM>.

According to an embodiment, the electronic device <NUM> may omit the second sensor module <NUM> on the same principle as that applied to the first sensor module <NUM>. For example, the electronic device <NUM> may identify the user's metabolite by receiving metabolite information from the external electronic device.

According to an embodiment of the disclosure, the at least one output device <NUM> may include the display device <NUM>, the sound output device <NUM>, or the haptic module <NUM> of <FIG>. The at least one output device <NUM> may output information regarding an exercise state. For example, the electronic device <NUM> may display the user's exercise state at the time when fat is burned off, or may display a user interface (UI) for guiding a way for the user to exercise, through the display device <NUM> (e.g., a display). In another example, the electronic device <NUM> may output a sound through the sound output device <NUM> (e.g., a speaker) to inform of the time when the user's fat is burned off or the time when the user's fat is not burned off. In yet another example, the electronic device <NUM> may output a vibration at least once through the haptic module <NUM> to inform of the time when the user's fat is burned off or the time when the user's fat is not burned off.

According to an embodiment, the electronic device <NUM> may omit the at least one output device <NUM>. For example, the electronic device <NUM> may transmit information regarding an exercise state to the external electronic device in communication with the electronic device <NUM> to provide the information regarding the exercise state to the user through the external electronic device. In this case, the external electronic device may refer to a wearable device or an accessory device (e.g., earphones or a headset) that is worn on the user's body, and the electronic device <NUM> may refer to a smartphone or a wearable device that is distinct from the external electronic device.

According to an embodiment, the processor <NUM> may be operatively coupled with the first sensor module <NUM>, the second sensor module <NUM>, the at least one output device <NUM>, and the memory <NUM> to perform an overall function of the electronic device <NUM>. The processor <NUM> may be constituted by one or more processors and may be physically divided into and separately driven as a main processor (e.g., the main processor <NUM> of <FIG>) that performs high-performance processing and an auxiliary processor (e.g., the auxiliary processor <NUM>) that performs low-power processing. For example, the first sensor module <NUM> or the second sensor module <NUM> may be coupled to the auxiliary processor while the main processor operates in an idle mode. According to situations, one processor may perform processing while switching between high performance and low power. The processor <NUM> may include, for example, an application processor (AP).

According to an embodiment, the processor <NUM> may detect an event relating to start of an exercise state. For example, the processor <NUM> may detect the event by detecting a movement of the electronic device <NUM> through the first sensor module <NUM> or receiving a user input representing the start of the exercise state.

According to an embodiment, the processor <NUM> may obtain motion information corresponding to the exercise state using the first sensor module <NUM> and may obtain the user's metabolite information using the second sensor module <NUM>. In another example, the processor <NUM> may receive the motion information or the metabolite information from the external electronic device.

According to an embodiment, the processor <NUM> may determine whether the metabolite information satisfies a specified condition. The specified condition may mean whether the user's exercise state satisfies a fat burning zone. For example, when a lactate value is lower than a specified threshold value or a ketone body value is higher than or equal to another specified threshold value, the processor <NUM> may determine that the user's fat is burned off.

According to an embodiment, the processor <NUM> may provide information regarding the exercise state through the at least one output device <NUM>. The information regarding the exercise state may represent, for example, whether fat is burned off in the currently measured exercise state. The processor <NUM> may display whether the user's fat is burned off, through the at least one output device <NUM> in real time. In another example, the information regarding the exercise state may represent at least one of the type of exercise, exercise intensity, exercise speed, and exercise time when fat is burned off. After the user's exercise is completed, the processor <NUM> may recommend an appropriate way for the user to exercise, based on the measured data. The appropriate way for the user to exercise may refer to, for example, an exercise state when fat is burned off. According to an embodiment, the processor <NUM> may provide the information regarding the exercise state to the user through the external electronic device.

According to an embodiment, the memory <NUM> may store instructions used by the processor <NUM> to perform operations of the electronic device <NUM>. According to an embodiment, the memory <NUM> may store information regarding at least one of calorie consumption, fat consumption, and an exercise state.

According to an embodiment, the electronic device <NUM> may further include communication circuitry (e.g., the communication module <NUM> of <FIG>) for performing communication with the external electronic device. The communication circuitry may perform communication with the external electronic device coupled with the electronic device <NUM> under the control of the processor <NUM>.

According to an embodiment, the electronic device <NUM> may further include a photoplethysmogram (PPG) sensor for measuring the user's heart rate. For example, when a heart rate measured during the user's exercise corresponds to a predetermined percentage (e.g., <NUM>% to <NUM>%) of the user's maximum heart rate, the electronic device <NUM> may determine that fat is burned off. The electronic device <NUM> may determine whether the user's fat is burned off, by using heart rate information instead of metabolite information, or may raise the accuracy of measurement of a fat burning zone, by using both the metabolite information and the heart rate information.

<FIG> is a block diagram illustrating a colorimetric sensor for measuring a metabolite according to various embodiments.

Referring to <FIG>, the second sensor module <NUM> may refer to a colorimetric sensor that is constituted by a PPG sensor <NUM> and a coating material <NUM> in a film form. The PPG sensor <NUM> may include at least one light emitting diode (LED) <NUM> and at least one photodiode (PD) <NUM>. The at least one LED <NUM> may convert electrical energy to light energy. The at least one PD <NUM> may convert light energy to electrical energy.

According to an embodiment, light <NUM> generated from the LED <NUM> may have at least one wavelength. At least part of the light <NUM> may be absorbed into or reflected by an object <NUM> (e.g., a user's body). The absorbance of lactate or a ketone body may vary depending on a concentration, and therefore the PD <NUM> may measure a lactate value or a ketone body value (or concentration) in the user's body by sensing light <NUM> reflected from the object <NUM>.

According to an embodiment, the second sensor module <NUM> may include the coating material <NUM> to sense light with a wavelength that corresponds to lactate or a ketone body. According to an embodiment, the coating material <NUM> may be disposed on an upper end of the PPG sensor <NUM>. The electronic device <NUM> may measure a metabolite using the coating material <NUM> in a film form that is disposed on the upper end of the PPG sensor <NUM>. Accordingly, the electronic device <NUM> may improve user convenience and portability without separate equipment mounted therein.

<FIG> is a flowchart illustrating an operation of providing information regarding an exercise state based on metabolite information, by the electronic device <NUM>, according to various embodiments of the disclosure. Operations illustrated in <FIG> may be performed by the electronic device <NUM> or components (e.g., the processor <NUM>) included in the electronic device <NUM>.

Referring to <FIG>, in operation <NUM> of a method <NUM>, the electronic device <NUM> (e.g., the processor <NUM>) may detect an event relating to start of an exercise state. According to an embodiment, the electronic device <NUM> may determine whether a user starts to do exercise, by using the first sensor module <NUM>. In this case, the electronic device <NUM> may obtain at least one piece of first data relating to a movement of the electronic device <NUM> that corresponds to the user's motion, through the first sensor module <NUM> (e.g., an acceleration sensor). For example, the electronic device <NUM> may obtain the first data, based on a specified period. The electronic device <NUM> may obtain a reference value by removing noise included in the first data. For example, the electronic device <NUM> may obtain the reference value using a low pass filter (LPF) or an average filter (AV). The electronic device <NUM> may previously store the reference value in the memory <NUM>. The electronic device <NUM> may obtain at least one piece of second data relating to the movement of the electronic device <NUM> through the first sensor module <NUM>. The electronic device <NUM> may remove noise from the second data and may determine the difference between the reference value stored in the memory <NUM> and the second data from which the noise is removed. The electronic device <NUM> may determine whether the user starts to do exercise, based on the magnitude or regularity of the determined difference.

In another example, the electronic device <NUM> may receive a user input for determining the start of the exercise state. The user input may include, for example, a touch input for selecting an input button displayed on the display of the electronic device <NUM> or a voice input of the user. In another example, when an application for managing the user's exercise state is executed, the electronic device <NUM> may determine that the user starts to do exercise.

In operation <NUM>, the electronic device <NUM> may obtain motion information corresponding to the exercise state. The motion information may include, for example, exercise time, exercise speed, exercise intensity, or the type of exercise. According to an embodiment, the electronic device <NUM> may obtain the motion information through the first sensor module <NUM>, or may receive the motion information from an external electronic device. According to another embodiment, the electronic device <NUM> may obtain the motion information, based on a user input for entering exercise time, exercise speed, exercise intensity, or the type of exercise.

In operation <NUM>, the electronic device <NUM> may obtain metabolite information. The metabolite information may include, for example, a lactate value or a ketone body value. According to an embodiment, the electronic device <NUM> may obtain the metabolite information through the second sensor module <NUM>, or may receive the metabolite information from the external electronic device. Although <FIG> illustrates the method <NUM> of the electronic device <NUM> that sequentially performs operation <NUM> and operation <NUM>, the sequence in which operation <NUM> and operation <NUM> are executed is not limited to the example illustrated in <FIG>. For example, the electronic device <NUM> may preferentially obtain the metabolite information. In another example, the electronic device <NUM> may simultaneously obtain the motion information and the metabolite information.

In operation <NUM>, the electronic device <NUM> may determine whether the metabolite information satisfies a specified condition. According to an embodiment, the electronic device <NUM> may determine whether the user's fat is burned off, based on the obtained lactate value or the obtained ketone body value. For example, the concentration of a ketone body may increase with an increase in fat consumption. Therefore, when the concentration of the ketone body is higher than or equal to a specified threshold value (e.g., <NUM> to <NUM>+mM), the electronic device <NUM> may determine that the metabolite information satisfies the specified condition. In another example, lactate suppresses consumption of fat, and therefore when the concentration of lactate is lower than another specified threshold value, the electronic device <NUM> may determine that the metabolite information satisfies the specified condition.

In operation <NUM>, the electronic device <NUM> may provide information regarding the exercise state to the user, based on whether the metabolite information satisfies the specified condition. For example, the electronic device <NUM> may display whether fat is burned off during the user's exercise, to the user in real time through the at least one output device <NUM>. In another example, the electronic device <NUM> may measure the exercise state, calorie consumption over time, and fat consumption over time from start to finish of the user's exercise and may recommend an appropriate way for the user to exercise, based on the measured data after the completion of the exercise. The appropriate way for the user to exercise may refer to, for example, an exercise state when fat is burned off.

<FIG> is a view illustrating a user interface representing that fat is burned off, based on metabolite information according to various embodiments of the disclosure.

Referring to <FIG>, as represented by the first data <NUM> and the third data <NUM> in the graph <NUM>, calories may be consumed according to time and an exercise state (e.g., exercise intensity) while a user does exercise. As represented by the second data <NUM>, a percentage of calorie consumption may correspond to fat consumption. For example, fat may be burned off in the first zone <NUM> and the second zone <NUM> while calories are consumed, but may not be burned off in the third zone <NUM> even while calories are consumed.

According to an embodiment, the electronic device <NUM> may inform, in real time, the user whether fat is burned off during the user's exercise, based on metabolite information. For example, when the user's exercise state enters the first zone <NUM> or the second zone <NUM> in which fat is burned off, the electronic device <NUM> may display a UI <NUM> representing that the user's exercise state enters the fat burning zone, through the display. Although <FIG> illustrates an example that the UI <NUM> is displayed through the display, the electronic device <NUM> may output a sound or vibration for informing the user that the user's exercise state enters the fat burning zone. In another example, the electronic device <NUM> may provide a UI representing that the user's exercise state enters the fat burning zone, through an external electronic device (e.g., a wearable device, earphones, or a headset).

According to an embodiment, when the user's exercise state enters the third zone <NUM> in which fat is not burned off, the electronic device <NUM> may display, through the display, a UI <NUM> representing that the user's exercise state deviates from the fat burning zone, or may output a sound or vibration.

According to an embodiment, the electronic device <NUM> may guide a way for the user to exercise, based on metabolite information and motion information to allow the user to maintain an exercise state corresponding to a zone in which fat is burned off. For example, when the user's exercise state enters a fat burning zone (e.g., the first zone <NUM> or the second zone <NUM>), the electronic device <NUM> may provide a UI for recommending maintaining the current exercise state (e.g., exercise intensity of <NUM> to <NUM>) to the user. In another example, when the user's exercise state deviates from a fat burning zone (e.g., when the user's exercise state enters the third zone <NUM>), the electronic device <NUM> may provide a UI for recommending changing the user's exercise state (e.g., exercise intensity).

<FIG> is a flowchart illustrating an operation of providing a user interface representing that fat is burned off, by the electronic device <NUM>, according to various embodiments of the disclosure. Operations illustrated in <FIG> may refer to more specific operations of operations <NUM> and <NUM> in <FIG> according to various embodiments of the disclosure.

Referring to <FIG>, in operation <NUM>, the electronic device <NUM> (e.g., the processor <NUM>) may determine whether a user's fat is burned off. For example, the electronic device <NUM> may obtain metabolite information such as lactate or a ketone body to determine whether the user's fat is burned off. When the user's fat is not burned off, the electronic device <NUM> may repeatedly perform operation <NUM>.

When the user's fat is burned off, the electronic device <NUM> may, in operation <NUM>, display the UI <NUM> representing that the user's fat is burned off, through the display. According to an embodiment, the electronic device <NUM> may inform the user that the user's fat is burned off, through a sound or vibration in addition to the screen displayed through the display.

<FIG> is a flowchart illustrating an operation of providing a user interface representing that a user's exercise state deviates from a fat burning zone, by the electronic device, according to various embodiments of the disclosure. Operations illustrated in <FIG> may refer to operations after operation <NUM> in <FIG>.

Referring to <FIG>, in operation <NUM>, the electronic device <NUM> may obtain motion information. For example, the electronic device <NUM> may obtain the motion information through the first sensor module <NUM>, or may receive the motion information from an external electronic device.

In operation <NUM>, the electronic device <NUM> may obtain metabolite information. For example, the electronic device <NUM> may obtain the metabolite information through the second sensor module <NUM>, or may receive the metabolite information from the external electronic device. According to an embodiment, the electronic device <NUM> may simultaneously perform operation <NUM> and operation <NUM>, or may preferentially perform operation <NUM>.

In operation <NUM>, the electronic device <NUM> may determine whether the user's fat is burned off, based on the metabolite information. When the user's fat is burned off, the electronic device <NUM> may repeatedly perform operations <NUM>, <NUM>, and <NUM>.

When the user's fat is not burned off, the electronic device <NUM> may, in operation <NUM>, display the UI <NUM> representing that the user's exercise state deviates from a fat burning zone, through the display. According to an embodiment, the electronic device <NUM> may inform the user that the user's exercise state deviates from the fat burning zone, through a sound or vibration in addition to the screen displayed through the display. According to an embodiment, the electronic device <NUM> may guide an exercise state for entrance into a fat burning zone to the user, based on the metabolite information and the motion information. For example, when the user's fat is not burned off with an increase in the user's exercise intensity or exercise speed, the electronic device <NUM> may lead the user to reduce the exercise intensity or the exercise speed.

<FIG> is a view illustrating a user interface for guiding an appropriate way for a user to exercise according to various embodiments of the disclosure.

Referring to <FIG>, the electronic device <NUM> may measure calorie consumption (e.g., the first data <NUM>), fat consumption (e.g., the second data <NUM>), and an exercise state variation (e.g., the third data <NUM>) over time while the user does exercise. The electronic device <NUM> may store the measured data when the user's exercise is completed. For example, the electronic device <NUM> may store the measured data in the memory <NUM>.

According to an embodiment, the electronic device <NUM> may display the graph <NUM> representing the measured data through the display to allow the user to recognize a fat burning zone. The electronic device <NUM> may display a zone in which fat is maximally burned off, through the display. For example, when the exercise intensity of the user of the electronic device <NUM> is <NUM> and the user's fat is maximally burned off for exercise time of <NUM> minutes to <NUM> minutes, the electronic device <NUM> may display a maximum fat burning zone <NUM> in the graph <NUM>.

According to an embodiment, the electronic device <NUM> may display, through the display, a UI <NUM> representing the exercise state and the fat burning zone as numerical values, instead of the graph <NUM>. The UI <NUM> may represent at least one of, for example, the type of exercise, average exercise speed, total exercise time, total calorie consumption, fat consumption, and a fat burning zone.

<FIG> is a flowchart illustrating an operation of guiding an appropriate way for a user to exercise, by the electronic device, according to various embodiments of the disclosure. Operations illustrated in <FIG> may refer to operations performed after operation <NUM> in <FIG>.

Referring to <FIG>, in operation <NUM>, the electronic device <NUM> may detect that the user's exercise state is completed. For example, when motion information is lower than a specified threshold value, the electronic device <NUM> may determine that the user's exercise state is completed. In another example, the electronic device <NUM> may receive a user input for completing the exercise state.

In operation <NUM>, the electronic device <NUM> may determine an exercise state zone (e.g., the first zone <NUM> or the second zone <NUM>) in which metabolite information satisfies a specified condition. The exercise state zone may be represented by, for example, the type of exercise, exercise intensity, exercise speed, or exercise time. According to an embodiment, the electronic device <NUM> may determine a maximum fat burning zone in the exercise state zone that satisfies the specified condition.

In operation <NUM>, the electronic device <NUM> may provide a UI representing the determined exercise state zone to the user through the display. For example, the electronic device <NUM> may display the graph <NUM> including the fat burning zone, or may display the UI <NUM> representing the exercise state and the fat burning zone as numerical values.

<FIG> is a flowchart illustrating an operation of providing information regarding an exercise state based on heart rate information, by the electronic device, according to various embodiments. Operations illustrated in <FIG> may be performed independently of the embodiments illustrated in <FIG>, or may be performed in operation <NUM> and operation <NUM> of <FIG>.

According to an embodiment, the electronic device <NUM> may determine a fat burning zone using a user's heart rate information other than metabolite information. For example, the electronic device <NUM> may determine a percentage (e.g., <NUM>% to <NUM>%) of the user's maximum heart rate to be a fat burning zone.

Referring to <FIG>, in operation <NUM>, the electronic device <NUM> may obtain the user's heart rate information according to various embodiments of the disclosure. For example, the electronic device <NUM> may obtain the heart rate information through a PPG sensor. In another example, the electronic device <NUM> may receive the heart rate information from an external electronic device in communication with the electronic device <NUM>.

In operation <NUM>, the electronic device <NUM> may determine whether the heart rate information satisfies another specified condition. For example, when the obtained heart rate corresponds to <NUM>% to <NUM>% of the user's maximum heart rate, fat may be burned off, and therefore the electronic device <NUM> may determine that the heart rate information satisfies the other specified condition. According to an embodiment, the electronic device <NUM> may more accurately measure a fat burning zone by determining whether metabolite information satisfies a specified condition and whether the heart rate information satisfies the other specified condition.

In operation <NUM>, the electronic device <NUM> may provide information regarding an exercise state to the user through the at least one output device <NUM>, based on whether the heart rate information satisfies the other specified condition. For example, the electronic device <NUM> may inform, in real time, the user whether the user's fat is burned off during the user's exercise. In another example, the electronic device <NUM> may measure the exercise state, calorie consumption over time, and fat consumption over time from start to finish of the user's exercise and may recommend an appropriate way for the user to exercise, based on the measured data after the completion of the exercise.

As described above, an electronic device (e.g., the electronic device <NUM> of <FIG>) may include a first sensor module (e.g., the first sensor module <NUM> of <FIG>), a second sensor module (e.g., the second sensor module <NUM> of <FIG>), at least one output device (e.g., the output device <NUM> of <FIG>), and a processor (e.g., the processor <NUM> of <FIG>). The processor may be configured to detect an event relating to start of an exercise state, obtain motion information corresponding to the exercise state using the first sensor module, obtain metabolite information of a user using the second sensor module, and provide information regarding the exercise state to the user through the at least one output device, based on whether the metabolite information satisfies a specified condition.

While the disclosure has been shown and described with reference to various embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the disclosure as defined by the appended claims and their equivalents.

An aspect of the disclosure is to provide an electronic device that measures a metabolite or a heart rate of a user without using separate large equipment, thereby measuring not only calorie consumption but also energy sources used to consume calories.

Claim 1:
A portable electronic device (<NUM>) comprising:
a first sensor module (<NUM>);
a second sensor module (<NUM>);
at least one output device (<NUM>); and
at least one processor (<NUM>) configured to:
detect an event relating to start of an exercise state,
obtain motion information corresponding to the exercise state using the first sensor module (<NUM>), and
obtain metabolite information of a user using the second sensor module (<NUM>),
characterized in that
the second sensor module includes a colorimetric sensor (<NUM>), including a photoplethysmogram, PPG, sensor, and a film disposed on the upper end of the PPG sensor, wherein the film disposed on an upper end of the PPG sensor is configured to sense light reflected from the user's body with a wavelength that corresponds to a lactate or a ketone body, and
said processor (<NUM>) is further configured to:
provide first information regarding the exercise state to the user through the at least one output device (<NUM>), and
provide second information regarding whether fat of the user is burned off based on the metabolite information, while the first information is provided,
wherein the metabolite information includes a lactate value or a ketone body value.