KR20230073679A - Exercise data-based nutrition program recommendation electronic device and method thereof - Google Patents

Abstract

In the exercise data-based nutrition program recommendation method according to an exemplary embodiment of the present invention, the step of inputting personal information, the step of extracting exercise habit pattern, eating habit pattern, and food preference based on the inputted personal information, the exercise Diagnosing the nutritional state based on the habit pattern and eating habit pattern, and providing a customized food solution based on the diagnosed nutritional state and the food preference degree.

Description

Exercise data-based nutrition program recommendation electronic device and method

The present invention relates to an electronic device and method for recommending a nutrition program based on exercise data.

BACKGROUND OF THE INVENTION As the number of people lacking in exercise increases rapidly in modern society, the frequency of diseases such as obesity and high blood pressure is steadily increasing. Accordingly, the number of people who exercise for physical strength and health management at home or at a fitness center is increasing.

Recently, portable devices that measure exercise information including movement distance, movement time, and calories consumed have been released, and users can easily measure exercise information and exercise.

An object of the present invention is a nutrition counseling system that extracts the user's life pattern based on the input user's exercise information, diagnoses the user's nutritional status, and provides a customized dietary life solution that can be easily implemented by the user. to provide that way.

In the exercise data-based nutrition program recommendation method according to an exemplary embodiment of the present invention, the step of inputting personal information, the step of extracting exercise habit pattern, eating habit pattern, and food preference based on the inputted personal information, the exercise Diagnosing the nutritional state based on the habit pattern and eating habit pattern, and providing a customized food solution based on the diagnosed nutritional state and the food preference degree.

The method for providing a personalized exercise consulting management program according to the present invention provides the trainer with a program that allows the trainer to perform a specific and systematic musculoskeletal system test and manages the user's exercise guide information based on the musculoskeletal system test result, so that the trainer Exercise guide information can be provided based on subjective own experience and objective and specific test results.

The method for providing a personalized exercise consulting management program according to the present invention provides a trainer with a predetermined musculoskeletal system test item or predetermined exercise guide information from an exercise consulting management program providing server, and the trainer is based on the trainer's experience, user information, or exercise event. By editing the musculoskeletal system test item optimized for himself or the corresponding exercise guide information, the trainer can use a personalized exercise consulting management program that is modified or edited according to his or her experience and customers, rather than a uniform management program. there is.

1 is a block diagram illustrating an electronic device 1000 for recommending an exercise event based on an exercise record.
2 is a flowchart showing steps of a nutrition counseling method according to an embodiment of the present invention.
3 is a flowchart showing steps of a nutrition counseling method according to another embodiment of the present invention.
4 is a flowchart showing steps of a nutrition counseling method according to another embodiment of the present invention.

Hereinafter, various embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that this is not intended to limit the technology described in this disclosure to specific embodiments, and includes various modifications, equivalents, and/or alternatives of the embodiments of this disclosure. . In connection with the description of the drawings, like reference numerals may be used for like elements.

In the present disclosure, expressions such as “has,” “can have,” “includes,” or “can include” indicate the presence of a corresponding feature (eg, numerical value, function, operation, or component such as a part). , which does not preclude the existence of additional features.

In this disclosure, expressions such as “A or B,” “at least one of A and/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, “A or B,” “at least one of A and B,” or “at least one of A or B” (1) includes at least one A, (2) includes at least one B, Or (3) may refer to all cases including at least one A and at least one B.

Expressions such as "first," "second," "first," or "second," used in the present disclosure may modify various elements regardless of order and/or importance, and may refer to one element as It is used only to distinguish it from other components and does not limit the corresponding components.

A component (e.g., a first component) is "(operatively or communicatively) coupled with/to" another component (e.g., a second component); When referred to as "connected to", it should be understood that the certain component may be directly connected to the other component or connected through another component (eg, a third component). On the other hand, when an element (eg, a first element) is referred to as being “directly connected” or “directly connected” to another element (eg, a second element), the element and the above It may be understood that other components (eg, a third component) do not exist between the other components.

Hereinafter, the present disclosure will be described in detail with reference to the drawings.

1 is a block diagram illustrating an electronic device 1000 for recommending an exercise event based on an exercise record.

The input/output unit 100 provides an interface with a user and/or an external device, and includes a button 110, a connector 120, a keypad 130, a display unit 140, an audio output unit 150, A vibration motor 160 and the like may be included.

The input/output unit 100 provides an input means through which a user can input data for controlling the electronic device 1000 . In addition to the above configuration, as an input means, a dome switch, a touch pad (contact capacitance method, pressure resistive film method, infrared sensing method, surface ultrasonic conduction method, integral tension measurement method, piezo effect method, etc.) ) and the like may be further provided, but is not limited thereto.

In addition, the input/output unit 100 provides an output means for outputting an audio signal, video signal, or vibration signal. When the display unit 140 and the touch pad form a layer structure to form a touch screen, the display unit 140 may be used as an input device as well as an output device. The display unit 140 includes a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, a 3D display ( 3D display) and at least one of electrophoretic display.

Under the control of the processor 600, the display unit 140 may output a screen for exercise management items necessary for the user. Under the control of the processor 600, the audio output unit 150 outputs a voice message related to the screen guided by the display unit 140, or other sound signals such as notification sounds and warning sounds according to the user's exercise state. can output The sound output unit 150 may include a speaker, a buzzer, and the like. The vibration motor 160 may output a vibration signal. For example, a vibration signal may be output together with the warning sound or instead of the warning sound. Also, the vibration motor 160 may output a vibration signal when a touch is input to the touch screen.

The sensor unit 300 may detect a state of the electronic device 1000, for example, movement or positional change, and transmit the detected information to the processor 600. Accordingly, it is possible to count the number of times a user wearing the electronic device 1000 exercises, for example, weight lifting companies or abdominal muscle exercises.

The sensor unit 300 may include a terrestrial magnetic sensor 310 , an acceleration sensor 320 , a position sensor 330 , and a gyroscope sensor 340 . In addition, sensors for detecting bio-signals of the user, such as ECG (ELECTROCARDIOGRAPHY), GSR (GALVANIC SKIN REFLEX), and pulse waves, may be provided. In addition, a temperature/humidity sensor, an infrared sensor, an air pressure sensor, a proximity sensor, and the like may be further included, but are not limited thereto.

The short-range wireless communication unit 400 provides a communication function between the electronic device 1000 and an external device, such as a fitness device or a smartphone carried by a user.

The short-range communication unit 400 includes a Bluetooth communication unit, a Bluetooth Low Energy (BLE) communication unit, a Near Field Communication unit (WLAN) communication unit, a Zigbee communication unit, an infrared data association (IrDA) communication unit, It may include a Wi-Fi Direct (WFD) communication unit, an ultra wideband (UWB) communication unit, an Ant+ communication unit, etc., but is not limited thereto.

As a communication unit provided in the electronic device 1000, only the short range communication unit 400 is exemplified, but is not limited thereto, and components such as a broadcast reception unit or a mobile communication unit may be further provided.

A program for processing and controlling the processor 600 may be stored in the memory 500, and input/output data may be stored.

The memory 500 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg SD or XD memory, etc.), RAM (RAM, Random Access Memory) SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk , an optical disk, and at least one type of storage medium.

Programs stored in the memory 500 may be classified into a plurality of modules according to their functions, for example, a sensor module 510, a GPS module 520, a communication module 530, and an exercise management module 540 etc. can be classified. In addition, a UI module, a touch screen module, a notification module, a video playback module, an audio playback module, and the like may be further included according to functions to be provided by the electronic device 1000 .

The processor 600 controls the overall operation of the electronic device 1000. For example, the processor 600 may generally control the input/output unit 100, the sensor unit 300, the communication unit 400, and the like by executing programs stored in the memory 170. In addition, by executing the exercise management module 540, a management service may be provided so that the user can manage himself when performing an exercise while using the fitness equipment.

The above configuration of the electronic device 1000 is exemplified as a component required to execute the exercise management module 540 stored in the memory 500 in the processor 600 . The exercise management module 540 may be provided in an electronic device implemented in the form of a smart watch having a physiological signal monitoring function. In this case, an additional configuration suitable for the purpose, for example, a biometric authentication module, a biometric sensor, and an analysis module for analyzing a signal received from the biometric sensor may be further provided.

In the drawing, components described in each unit, that is, the input/output unit 100, the sensor unit 300, the communication unit 400, and the memory 500, are optional components, that is, one or more of them are provided. It can be.

Hereinafter, a method for personalizing and sharing an exercise program provided by the electronic device 1000 will be described in detail.

2 is a flowchart showing steps of a nutrition counseling method according to an embodiment of the present invention.

3 is a flowchart showing steps of a nutrition counseling method according to another embodiment of the present invention.

4 is a flowchart showing steps of a nutrition counseling method according to another embodiment of the present invention.

2 to 4, the nutrition counseling method for providing a feasible customized solution according to an embodiment of the present invention includes an exercise information input step (S1) in which a user inputs exercise information through a user terminal; User pattern extraction step (S3) in which the user pattern extraction unit extracts the user's nutrition or life pattern based on the exercise information input by the user and basic data stored in the database; It may include a solution calculation step (S5) in which the solution calculation unit calculates a customized solution for each user.

First, through the exercise information input step (S1), basic information such as the user's gender, childbirth (pregnancy), medical history, residence area, favorite food, and preferred exercise, as well as food consumed by the user, meal time, and Information such as exercise, exercise time, and bedtime is entered and stored in the database.

Based on this, in the user pattern extraction step (S3), the eating habit pattern extraction module extracts the user's eating habit pattern based on the time to wake up and go to bed, the time to eat each meal or the time taken to eat among the user's exercise information. a pattern extraction step (S31); In the food preference extraction module, a food preference degree extraction step (S32) of extracting the user's food preference degree based on information such as the type or amount and frequency of the food consumed by the user during a specific period of a day, week or month among the user's exercise information can include

Exercise that extracts the user's exercise habit pattern based on the time the user exercises, the time it takes to exercise, and the time zone or frequency of exercise during a specific period of a day, week, or month among user exercise information in the exercise habit pattern extraction module habit pattern extraction step (S33); An exercise preference extraction step (S34) of extracting the user's exercise preference based on the type, frequency, and time of exercise performed by the user among the user's exercise information in the exercise preference extraction module; It may include a sleep habit pattern extraction step (S35) of extracting the user's sleep habit pattern based on waking up, going to bed time, and sleeping time among the user's exercise information in the sleep habit pattern extraction module.

On the other hand, in the solution calculation step (S5), the eating habit pattern extraction step (S31), exercise habit pattern extraction step (S33), and sleep habit pattern extraction step are extracted in order to provide a customized food solution that can be most easily implemented in each user's situation. Based on the user's eating habits, exercise habits, sleeping habits, and basic data stored in the database, extracted in step S35, nutrition or health status information such as whether the user is currently lacking in a specific nutrient or fatty liver is suspected is diagnosed. Based on the nutritional status diagnosis step (S51) provided by and the nutritional status of the user diagnosed in the nutritional status diagnosis step (S51), the user is deficient in a specific nutrient by using the necessary food information according to the nutritional status of the nutrition-specific food DB. It may include a necessary food diagnosis step (S52) of suggesting useful foods to supplement this, recommending foods good for the fetus if the user is pregnant, or recommending foods good for the user's specific disease.

Based on the food information required for the user diagnosed in the necessary food diagnosis step (S52), the user's food preference extracted in the food preference degree extraction step (S32), the preference of the user's exercise group stored in the group-specific preferred food DB By synthesizing food and special product information of the region where the user is located stored in the food information DB by region, it does not stop at simply presenting a general method of what kind of food the user needs, but also It conforms to the degree of preference (i.e., if you need strawberries as a sour food but the user does not like strawberries, suggest replacing them with lemon, etc.), reflect the preference of the user's exercise group (i.e., if the user has no special preference may reflect the preference of a group with the same hobby as the user), or select or substitute foods that are easily available in the area where the user lives or that correspond to the specialties of the area where the user lives (i.e., foods necessary for the user, such as A and A) There is B, and if there is B as a special product of the user's residence, it is a customized food solution that selects and provides the food that the user can execute most easily by selecting and providing it as B, which the user can easily and freshly choose from the surrounding area. A providing step (S53) may be included.

Based on the food provided in the customized food solution providing step (S53), the preferred restaurants of the user's exercise group stored in the group preferred restaurant DB and the health restaurant information of the region where the user is located stored in the regional food information DB are integrated. Therefore, it does not stop at simply presenting what food the user needs, but also provides information on the ingredients of the food or the restaurant that cooks and provides the food. In particular, even in this case, the preference of the user or the exercise group It may include a customized restaurant solution providing step (S54) of selecting and providing a restaurant that the user can use most easily by reflecting the

In addition, in the solution calculation step (S5), based on the user's nutritional status diagnosed in the nutritional status diagnosis step (S51), in order to provide a customized exercise solution that is most easily executable in each user's situation, the exercise by nutrition Using the necessary exercise information according to the nutritional status of the DB, for example, a necessary exercise diagnosis step (S55) of presenting useful abdominal muscle exercises when the user is obese or swimming exercise suitable for the user when the user has weak knee joints. can do.

Based on the exercise information required for the user diagnosed in the exercise required diagnosis step (S55), the user's exercise preferences extracted from the exercise preference extraction module are combined, and a general-purpose method is proposed that simply what exercise is needed for the current user. It does not stop there, but selects and provides the exercise that the user can most enjoy by reflecting the user's preference or the regional characteristics of the user's residence among the exercises necessary for the user (for example, exercise that the user can do a lot of walking However, if the user does not like mountain climbing and there is a large park and a jogging track in the vicinity of the user's residence, jogging or walking instead of mountain climbing is selected and provided to the user as an exercise that the user can most easily execute. and providing a customized exercise solution step (S56).

Based on the exercise provided in the customized exercise solution providing step (S56), exercise facilities frequently visited by the user's exercise group stored in the group-specific exercise facility DB, and exercise facilities in the region where the user is located stored in the regional exercise facility DB By integrating the information, it does not stop at simply presenting what kind of exercise the user needs, but also provides information on exercise facilities where the user can perform the exercise. It may include a customized exercise facility solution providing step (S57) of selecting and providing the exercise facility that the user can use most easily by selecting and providing the exercise facility that the user can easily use in the residential area.

In addition, in order to provide a customized dietitian recommendation solution that is feasible in the solution calculation step (S5), based on information related to the dietitian's gender, childbirth (pregnancy), medical history, work area, counseling performance, etc. stored in the dietitian DB, For example, if the user is female and pregnant, recommends a counselor who is the same woman and has experience in pregnancy so that more specific nutrition counseling tailored to the pregnant woman can be provided By selecting and providing high-quality nutrition counseling or recommending nutritionists who have the same hobbies as the user and are close to the user's residence and work area, we select and provide a nutritionist that best fits the user's current condition. In addition, a customized nutritionist solution providing step (S58) of selecting and providing a nutritionist most suitable for the user's gender, childbirth (pregnancy), medical history, and residential area so that nutrition counseling is performed and executive power is increased accordingly. can include

In addition, in order to provide a customized nutrition counseling solution that nutritionists can use usefully in the solution calculation step (S5), nutrition counseling data input through the nutrition counseling recording step (S7) are stored in the nutrition judgment data DB. It may further include a nutrition judgment basic data providing step (S59) of transmitting basic data necessary for state determination to the nutritionist terminal.

In other words, as mentioned above, it is difficult to derive accurate and prompt nutrition counseling results such as precautions or conditions suitable for various symptoms and conditions for each user with only the personal knowledge of the nutritionist who performs nutrition counseling. In order to accurately and quickly provide these data to the nutritionist, in the provision of basic nutritional judgment data step (S59), based on the nutrition counseling data input through the nutrition counseling recording step (S7), the nutritional status pre-stored in the nutrition judgment data DB Among the basic data necessary for determination, basic data (i.e., the normal standard value of a specific nutrient, precautions or conditions according to various situations by symptom or condition, database of alternatives or improvement plans) that fit the input nutrition counseling data are selected. By transmitting to the nutritionist terminal, it assists nutritionists to quickly and accurately provide customized nutrition counseling solutions that are suitable for each user's condition and can be usefully utilized.

For reference, in addition to this, the nutrition counseling system according to the present invention provides a space where a community can be formed among users so that situational information or related data can be shared so that the system can spread to the public, and the database It can be used to provide data that can be used in the health/health field in the future by enabling up-to-date information to be provided through periodic updates on basic data or by forming statistical data on calculated data.

In the above, the applicant has described the preferred embodiments of the present invention, but these embodiments are only one embodiment of implementing the technical idea of the present invention, and any changes or modifications are the same as those of the present invention as long as they implement the technical idea of the present invention. should be construed as falling within the scope.

Claims (5)

In the exercise data-based nutrition program recommendation method,
Entering personal information;
extracting exercise habit patterns, eating habit patterns, and food preferences based on the input personal information;
A recommendation method comprising diagnosing nutritional status based on the exercise habit pattern and eating habit pattern, and providing a customized food solution based on the diagnosed nutritional status and the food preference level. According to claim 1,
The recommendation method further comprising the step of diagnosing necessary foods based on the diagnosed nutritional status. According to claim 2,
Sleep habit pattern extraction step; further comprising,
The recommendation method characterized in that the nutritional status is diagnosed based on the sleep habit pattern extraction step. According to claim 3,
It further includes; exercise preference extraction step;
A recommendation method characterized in that a customized exercise solution is provided based on the extracted exercise preference, and the customized food solution is provided based on the customized exercise solution. According to claim 4,
The recommendation method further comprising the step of receiving nutrition counseling by a second user different from the first user inputting the personal information.

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