JP2017054163A - Meal advice system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a meal advice system capable of providing an advice regarding effective meal suitable for an object person.SOLUTION: A meal advice system comprises: an imaging apparatus 10 which images how an object person takes meal; a biological data measuring apparatus 20 which measures biological data of the object person; a meal recording information storage part 110 which generates and stores meal recording information including a plurality of items regarding meal from images or video imaged by the imaging apparatus 10; a biological data information storage part 120 which stores biological data information measured by the biological data measuring apparatus 20; an analysis part 130 which analyzes relevance between each item of the meal recording information and fluctuation of the biological data from the meal recording information and the biological data information to generate relevance data; a meal advice generation part 140 which generates an advice regarding meal based on the relevance data; and a meal advice providing apparatus 30 which provides the object person with the advice generated by the meal advice generation part 140.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a technique of a meal advice system that provides meal-related advice.

  Conventionally, the technique of the meal advice system which provides the advice regarding a meal is well-known. For example, as described in Patent Document 1.

  Patent Document 1 describes a weight management device configured to set a target weight at the time before going to bed in a day and to obtain advice information about a meal for achieving the target weight before a meal. Yes. In the weight management device, advice information is provided by displaying on the display device an image of meal content when the target person has achieved the target weight in the past.

  However, in the technique described in Patent Document 1, since the relationship (causal relationship) between meals and biological data is unclear, it cannot be said that advice on effective meals suitable for the subject is provided. It was.

Japanese Patent No. 5736823

  The present invention has been made in view of the situation as described above, and a problem to be solved is to provide a meal advice system capable of providing advice related to an effective meal suitable for a target person. .

  The problem to be solved by the present invention is as described above. Next, means for solving the problem will be described.

  That is, in claim 1, an imaging device that captures a scene of a subject eating, a biological data measurement device that measures biological data of the subject, and an image or a video captured by the imaging device, A meal record information accumulating unit that acquires and accumulates meal record information including a plurality of items relating to, a biometric data information accumulating unit that accumulates biometric data information related to the biometric data measured by the biometric data measuring device, and the meal record From the meal record information stored in the information storage unit and the biometric data information stored in the biometric data information storage unit, the relationship between each item of the meal record information and the variation of the biometric data is analyzed and related A relevance data creating unit that creates sex data, a meal advice generating unit that generates advice on meals based on the relevance data, and the meal app. The advice generated by the device generating unit is to anda diet advice provision unit for providing to said subject.

  In Claim 2, the relevance data includes a contribution rate of each item of the meal record information with respect to the biological data, and the meal advice generation unit is configured to perform the item of the meal record information with a large contribution rate. It generates advice.

  In Claim 3, the said relevance data preparation part normalizes each item of the said meal record information accumulate | stored in the said meal record information storage part, and uses the value of each item of the normalized said meal record information The contribution rate is calculated by performing multiple regression analysis on the biological data.

  According to a fourth aspect of the present invention, the apparatus further comprises a desired condition input unit for inputting the desired condition of the subject for each item of the meal record information, and the relevance data creation unit is stored in the meal record information storage unit. The relevance data is created by extracting the meal record information that matches the desired condition.

  According to a fifth aspect of the present invention, the meal record information includes two or more items among a dish name, a meal amount, a meal time, a total meal time, a meal speed, a meal order, and whether or not alcohol is consumed.

  According to a sixth aspect of the present invention, the photographing device is fixed at a predetermined position.

  According to a seventh aspect of the present invention, the photographing device is configured to automatically photograph a state where the subject person eats.

  In Claim 8, the meal environment control part which controls a meal environment according to the said advice is comprised.

  As effects of the present invention, the following effects can be obtained.

  In Claim 1, the advice regarding the effective meal suitable for the subject can be provided.

  In claim 2, more effective advice can be provided.

  In claim 3, more effective advice can be provided.

  According to claim 4, it is possible to provide advice that meets the conditions desired by the subject.

  In claim 5, more detailed advice can be provided.

  According to the sixth aspect of the present invention, it is easy to specify the size of the object, so that the amount of meal can be grasped with high accuracy.

  According to the seventh aspect of the present invention, it is possible to reduce the troublesomeness of taking a picture of meals, and it is possible to easily maintain health management by meal advice over a long period of time.

  In Claim 8, execution of advice can be assisted and promoted.

The figure which shows the structure of the meal advice system which concerns on one Embodiment of this invention. The flowchart regarding accumulation | storage of the meal record information and biometric data information in the meal advice system which concerns on one Embodiment of this invention. The flowchart which shows control of the meal advice system which concerns on one Embodiment of this invention. The figure which shows an example of a data table. The figure which shows an example of an advice table. The flowchart which shows an advice flow. The flowchart which shows a tendency analysis flow.

  First, the outline | summary of a structure of the meal advice system 1 is demonstrated using FIG.

  The meal advice system 1 provides meal advice to the target person in consideration of the subject's biological data. The meal advice system 1 includes an imaging device 10, a biological data measuring device 20, a meal advice providing device 30, an input device 40, a meal environment control device 50, and a server 100.

  The imaging device 10 captures an image of the subject eating. As the photographing device 10, a camera capable of photographing a moving image is used. The photographing apparatus 10 is fixed at a predetermined position so that the subject can take a picture of eating. The imaging device 10 is installed on, for example, a ceiling on a dining table. The photographing apparatus 10 is configured to be automatically activated, photographed, and recorded. Specifically, the imaging device 10 can be configured to be activated by detecting that a meal has been placed on the dining table or that the subject has been seated. Or the imaging device 10 may always be an image of a dining table.

  The biological data measuring device 20 measures the biological data of the subject. Specifically, the biological data measuring device 20 is configured to measure biological data such as body weight, body fat, blood pressure, activity amount, sleep, body temperature, blood glucose level, and the like.

  The meal advice providing device 30 provides meal-related advice (hereinafter referred to as meal advice) to the target person. As the meal advice providing device 30, for example, a mobile phone, a smartphone, a wearable terminal, a television, and a speaker are used. The meal advice providing device 30 provides meal advice to the target person based on the moving image photographed by the photographing device 10 and the biological data measured by the biological data measuring device 20. Details of the meal advice will be described later.

  The input device 40 is for the subject to input desired conditions regarding meals. As the input device 40, for example, a mobile phone, a smartphone, or a wearable terminal is used. The input device 40 may be configured integrally with the meal advice providing device 30. That is, it is possible to receive meal advice and input desired conditions with one device (terminal).

  The meal environment control device 50 controls the environment when the subject eats. The meal environment control device 50 is configured to control the meal environment such as lighting, room temperature, and aroma in accordance with the content of the meal advice provided by the meal advice providing device 30. As the meal environment control apparatus 50, a lighting fixture and an air conditioner are used, for example. For example, the eating environment control apparatus 50 can control the illumination to blue in anticipation of the effect of suppressing appetite when the subject's eating speed is too fast.

  The server 100 performs data accumulation and analysis. The server 100 is connected to the imaging device 10, the biological data measurement device 20, the meal advice providing device 30, the input device 40, and the meal environment control device 50. The server 100 includes a meal record information accumulation unit 110, a biometric data information accumulation unit 120, an analysis unit 130, and a meal advice generation unit 140.

  The meal record information accumulating unit 110 acquires meal record information from a moving image photographed by the photographing apparatus 10 and accumulates the acquired meal record information. Meal record information includes a plurality of items related to meals. For example, who is eating (subject), meal content (dish name), meal amount, meal time, total meal time, meal speed This refers to information regarding the order of meals (in which order they are eaten when there are multiple dishes) and the presence or absence of alcohol (types of alcohol).

  Acquisition of meal record information can be performed using an appropriate image processing means. For example, the meal record information storage unit 110 stores various food and drink image information in advance, and compares the food and drink image information with moving image information (meal image information) taken by the photographing apparatus 10. And the meal record information storage part 110 can specify a dish name by selecting the food image information that matches the meal image information of the video most in color, brightness, size, etc. it can. In addition, the meal record information accumulation unit 110 can specify the amount of meal (meal size) from the meal image area of the moving image photographed by the photographing apparatus 10.

  At this time, since the photographing device 10 is photographing the state of meal while being fixed to the ceiling, the distance between the photographing device 10 and the meal is always constant. Therefore, the size of the meal can be easily grasped, and the meal amount can be easily specified. In addition, since the photographing apparatus 10 is configured to automatically photograph the state of meals, it is possible to reduce troublesome activation of the photographing apparatus 10 and photographing. For this reason, health management by meal advice can be easily continued for a long time.

  The biometric data information accumulating unit 120 accumulates biometric data information (biometric data information) measured by the biometric data measuring device 20.

  The analysis unit 130 performs data analysis. Specifically, the analysis unit 130 analyzes the relevance between each item of the meal record information and the variation of the biometric data, and creates relevance data (specifically, an advice table described later) indicating the relevance. To do. The relevance data is created from meal record information accumulated in the meal record information accumulation unit 110 and biometric data information accumulated in the biometric data information accumulation unit 120.

  The meal advice generation unit 140 generates meal advice based on the relevance data created by the analysis unit 130. Meal advice is mainly classified into meal selection advice provided to the target person before meals, during-meal advice provided to the target person during the meal, and trend analysis advice provided according to the request of the target person Is done.

  Meal selection advice is what advises what to eat and how. The meal advice generation unit 140 provides the target person with meal selection advice such as “It is better to eat the tofu hamburger over 20 minutes” before the meal.

  The during-meal advice advises the meal speed and the order of meals. The meal advice generating unit 140 provides during-meal advice to the subject during the meal, such as “let's eat a little more slowly”, “let's eat from vegetables”, “let's chew well”.

  The trend analysis advice is to advise which item of the meal record information has a great influence on the biometric data (whether the contribution rate to the biometric data is high). The meal advice generation unit 140 provides the target person with trend analysis advice such as “You seem to be the cause of fattening early” according to the request of the target person.

  Hereinafter, with reference to FIG. 2, the specific flow regarding accumulation | storage of the meal record information in the meal advice system 1 and biometric data information is demonstrated.

  In step S10, the biological data measuring device 20 measures the biological data of the subject. Since biometric data fluctuates throughout the day, it is preferable to measure biometric data at a fixed time as much as possible. In the present embodiment, it is assumed that the subject measures body weight and blood glucose level in the morning.

  In step S <b> 20, the biological data information regarding the measured biological data is stored in the biological data information storage unit 120.

  In step S <b> 30, when the subject starts dinner, the photographing apparatus 10 photographs the state of the meal.

  In step S40, the meal record information accumulating unit 110 analyzes the moving image photographed by the photographing device 10, and information on meal contents, presence / absence of drinking (type of liquor), total meal time and meal time (meal record information). To get. The acquired meal record information is stored in the meal record information storage unit 110.

  By repeating the steps S10 to S40 every day, the meal record information history is accumulated in the meal record information accumulating unit 110. The biometric data information storage unit 120 stores biometric data information history.

  Hereinafter, the control of the meal advice system 1 will be described with reference to FIG. In the following description, the processing from step S10 to step S40 has already been performed, the meal record information history is accumulated in the meal record information accumulation unit 110, and the biometric data information history is accumulated in the biometric data information accumulation unit 120. Is accumulated. In this embodiment, “the current day” is May 18 and “the previous day” is May 17.

  In step S50, the biological data measuring device 20 measures the weight and blood glucose level of the subject on the morning of the day (May 18).

  In step S <b> 60, the measured biological data information (weight and blood glucose level information) is stored in the biological data information storage unit 120.

  In step S <b> 70, the analysis unit 130 determines the previous day (May 17) morning biometric data value and the current day (May 18) morning biometric data value from the biometric data information accumulated in the biometric data information accumulation unit 120. Difference (increase / decrease in biometric data value) is calculated.

  In step S80, the analysis unit 130 adds the meal record information of dinner on the previous day (May 17), the biological data value on the morning of the day (May 18), and the previous day (May 17) to the data table shown in FIG. ) The difference between the morning biometric data value and the morning (May 18) morning biometric data value is input. The meal record information of the previous day (May 17) is obtained from the meal record information stored in the meal record information storage unit 110.

  Specifically, in the row where “date” is input as “May 17”, “meal set” in the “meal content” column, “none” in the “alcohol” column, “total meal time” "Short (10 minutes)" in the column of "," early (18:30) "in the column of" meal time "," 66 (kg) "in the column of" weight next morning "," “−0.2 (kg)” is input to the column “90 (mg / dl)”, “weight increase / decrease”, and “−20 (mg / dl)” is input to the “blood glucose level increase / decrease” column.

  In step S90, the analysis unit 130 creates an advice table shown in FIG. 5 using the data table shown in FIG. In the advice table shown in FIG. 5, in the leftmost column, items of meal record information (meal contents, presence / absence of alcohol consumption (type of alcohol), total meal time and meal time), average weight increase / decrease in the middle column, The average of blood glucose level increase / decrease is entered in the rightmost column.

  The items of the meal record information are further classified into small items. Specifically, meal contents are classified into all types (for example, hamburger, ramen, pasta, soba, etc.) that have been input to the data table in the past. Liquor is classified into all the types (for example, beer, sake, etc.) previously entered in the data table. If you do not drink alcohol, it is classified as “none”. The total meal time is classified into “short (within 20 minutes)” and “long (over 20 minutes)”. The meal time is classified into “late (after 20:00)” and “early (before 20:00)”.

  For example, in the row where the meal content is ramen, the difference (weight increase / decrease value) between the weight of the day when eating ramen for dinner and the weight of the next day (next morning) is extracted from the past data in the data table. Is done. Then, an average value of the weight increase / decrease values is calculated, and the average value is input to the advice table.

  In step S100, the meal advice generation unit 140 generates advice (meal selection advice) as to what and how to eat at the dinner of the day by the advice flow shown in FIG. Details of the advice flow will be described later. The meal selection advice is provided to the subject by the meal advice providing device 30.

  In step S110, the meal advice generation unit 140 provides advice (trends) on which items of the meal record information have a large influence on the biometric data (the contribution ratio to the biometric data is large) according to the trend analysis flow shown in FIG. Analysis advice). Details of the trend analysis flow will be described later. The trend analysis advice is provided to the subject by the meal advice providing device 30.

  The subject refers to the meal selection advice and the trend analysis advice to determine what and how to eat for dinner.

  In step S120, when the subject starts dinner, the photographing apparatus 10 photographs the state of the meal.

  In step S130, the meal advice generating unit 140 generates in-meal advice regarding the order of meals, the meal speed, and the like. The meal advice generation unit 140 determines from the data table and the advice table what kind of meal order and meal speed will have the best influence on the biometric data, and generates in-meal advice. The meal advice generation unit 140 generates meal selection advice such as “Let's eat a little more slowly”, “Let's eat from vegetables”, “Let's eat well”. The during-meal advice is sent to the meal advice providing device 30 and provided to the subject by the meal advice providing device 30.

  In step S140, the meal environment control apparatus 50 controls the meal environment such as lighting, room temperature, and aroma in accordance with the contents of the advice table created by the analysis unit 130 (the meal advice generated by the meal advice generation unit 140). To do. For example, when the subject eats too fast, the meal environment control device 50 controls the illumination to blue in anticipation of an effect of suppressing appetite.

  In step S150, the meal record information accumulating unit 110 analyzes the moving image taken by the photographing apparatus 10, and information on meal contents, presence / absence of drinking (type of liquor), total meal time, and meal time (meal record information). To get. The acquired meal record information is stored in the meal record information storage unit 110.

  Hereinafter, the advice flow in step S100 will be described with reference to FIG.

  In step S101, the target person inputs desired conditions for each item of dinner meal record information to the input device 40. For example, the target person inputs desired conditions, such as liquor that looks like sake, and late meals, to the input device 40.

  In step S102, the analysis unit 130 extracts data that matches the desired condition from the data table. Specifically, the analysis unit 130 extracts the meal record information and the biometric data information on the date of drinking at dinner and having a late meal time from past data in the data table.

  In step S103, the analysis unit 130 creates an advice table based on the extracted meal record information and biometric data information. This advice table is created separately in addition to the advice table created in step S90. In the following, an advice table created based on data extracted from a data table according to desired conditions is referred to as a “conditional advice table”. In the conditional advice table, ranking of increase / decrease in body weight and blood glucose level is attached to each item of meal record information. The ranking is ranked in the order of approaching preset target values of body weight and blood glucose level. For example, when the subject is determined to be obese from the measured weight or the like, the item with the largest weight loss is ranked first.

  In step S104, the meal advice generating unit 140 creates a meal selection advice based on the conditional advice table. Specifically, the meal advice generating unit 140 generates a meal selection advice so as to recommend the first item in the ranking. The meal advice generation unit 140 may, for example, “sake: tofu hamburger over 20 minutes or more under the conditions of sake: coffee, time: late. Generate meal selection advice. The meal selection advice is sent to the meal advice providing apparatus 30 and provided to the subject by the meal advice providing apparatus 30.

  Hereinafter, the trend analysis flow in step S110 will be described with reference to FIG.

  In step S111, the analysis unit 130 normalizes each item of past meal record information in the data table. Specifically, each item is normalized so that the average is 0 and the variance is 1.

  In step S112, the analysis unit 130 performs a multiple regression analysis of the body weight increase / decrease and the blood glucose level increase / decrease using the normalized factor. Specifically, multiple regression analysis is performed using body weight and blood glucose level as objective variables and each item of meal record information as explanatory variables.

  In step S113, the analysis unit 130 calculates the contribution rate of each item with respect to weight increase / decrease and blood glucose level increase / decrease from the absolute value of the coefficient of each factor (explanatory variable), and creates a contribution rate table (see FIG. 5).

  In step S114, the meal advice generation unit 140 creates a trend analysis advice for an item with a large contribution rate. The trend analysis advice is sent to the meal advice providing device 30 and provided to the subject by the meal advice providing device 30. The meal advice generation unit 140 generates a trend analysis advice such as “You seem to be the cause of fattening early”. The trend analysis advice is sent to the meal advice providing device 30 and provided to the subject by the meal advice providing device 30.

  As described above, in the meal advice system 1 according to the present embodiment, the contents of the previous day's meal (dinner), how to eat, etc. are actually recorded in the morning biometric data (weight and blood sugar level) for each subject. Analyze whether it has an impact, and provide dietary advice to the subject based on the analysis results. Although the effects of meal contents and eating methods on the biometric data are different for each target person, the meal advice system 1 according to the present embodiment is configured as described above, so that effective meal advice suitable for the target person can be provided. It can be provided to the subject.

  Further, in the meal advice system 1 according to the present embodiment, items (meal content (cook name), presence or absence of drinking (type of liquor), total meal time, Providing trend analysis advice on meal times, etc. Therefore, the target person can grasp the points to be particularly careful about the meal, and thus can promote health improvement.

  Further, in the meal advice system 1 according to the present embodiment, in order to provide meal advice in consideration of not only the contents of meals but also the order of meals, total meal time, meal time, etc., affect the biometric data. , Can provide more effective advice to the subject.

As described above, the meal advice system 1 according to the present embodiment includes the imaging device 10 that captures an image of how the subject eats, the biological data measurement device 20 that measures the biological data of the subject, and the imaging device 10. A meal record information accumulating unit 110 that generates and accumulates meal record information including a plurality of items related to meals from an image or a moving image taken in the above, and biometric data information about the biometric data measured by the biometric data measuring device 20 Each item of the meal record information from the biometric data information accumulation unit 120 to be accumulated, the meal record information accumulated in the meal record information accumulation unit 110 and the biometric data information accumulated in the biometric data information accumulation unit 120 And an analysis unit 130 (relevance data creation unit) that creates relevance data by analyzing the relevance between the biometric data and the fluctuation of the biometric data. A meal advice generating unit 140 that generates meal-related advice based on sex data; and a meal advice providing device 30 that provides the advice generated by the meal advice generating unit 140 to the target person. .
By comprising in this way, the advice regarding the effective meal suitable for a subject can be provided.

The relevance data includes a contribution rate of each item of the meal record information with respect to the biometric data, and the meal advice generation unit 140 generates the advice for each item of the meal record information having a large contribution rate. To do.
By configuring in this way, more effective advice can be provided.

The analysis unit 130 normalizes each item of the meal record information accumulated in the meal record information accumulation unit 110, and uses the normalized value of each item of the meal record information to obtain the biometric data. The contribution rate is calculated by performing multiple regression analysis.
By configuring in this way, more effective advice can be provided.

The diet record information further includes an input device 40 (desired condition input unit) for inputting the desired condition of the subject, and the analysis unit 130 is stored in the meal record information storage unit 110. The relevance data is created by extracting the meal record information that matches the desired condition.
By configuring in this way, it is possible to provide advice that meets the conditions desired by the subject.

In addition, the meal record information includes two or more items of a dish name, a meal amount, a meal time, a total meal time, a meal speed, a meal order, and the presence or absence of drinking.
With this configuration, more detailed advice can be provided.

Further, the photographing apparatus 10 is fixed at a predetermined position.
With this configuration, it is easy to specify the size of the object, and as a result, the amount of meal can be grasped with high accuracy.

Moreover, the said imaging | photography apparatus 10 is comprised so that the state in which the said subject eats automatically may be image | photographed.
By configuring in this way, it is possible to reduce the troublesomeness of taking pictures of meals, and as a result, health management by meal advice can be easily continued for a long time.

Moreover, the food environment control apparatus 50 (meal environment control part) which controls a meal environment according to the said advice is comprised.
With this configuration, it is possible to assist and promote the execution of advice.

  The analysis unit 130 according to the present embodiment is a form of the relevance data creation unit according to the present invention.

  The embodiment of the present invention has been described above, but the present invention is not limited to the above-described configuration, and various modifications can be made within the scope of the invention described in the claims.

  For example, in the present embodiment, the trend analysis advice is provided to the subject before dinner, but the timing is not limited and may be provided as appropriate according to the request of the subject.

  Moreover, although the meal advice system 1 which concerns on this embodiment shall have the meal environment control apparatus 50, this invention is not limited to this. The meal advice system 1 does not necessarily need to include the meal environment control device 50.

  In the present embodiment, the meal advice generation unit 140 generates meal selection advice so as to recommend the small items (meal content, meal speed, etc.) ranked first in the conditional advice table. The invention is not limited to this. The meal advice generation unit 140 may generate meal selection advice based on the contribution rate calculated in step S113.

  In step S101 of the present embodiment, the desired condition is input to the input device 40. However, if the target person does not have the desired condition, step S101 and step S102 are omitted. In this case, in step S104, the meal advice generating unit 140 creates a meal selection advice based on the advice table created based on all the data in the data table.

  In the present embodiment, the meal record information accumulating unit 110 accumulates meal record information for dinner. However, the meal record information accumulation unit 110 may accumulate meal record information for breakfast or lunch. Meal record information may be accumulated.

  In the present embodiment, the meal advice providing device 30 provides meal advice before dinner, but may provide meal advice before breakfast or lunch, and all meals may be provided. Meal advice may be provided before.

  In the present embodiment, the photographing apparatus 10 photographs a moving image, but the present invention is not limited to this. The imaging device 10 may capture an image (still image). In this case, the imaging device 10 may be configured to capture images at regular intervals in order to grasp the total meal time, meal speed, and the like. preferable.

  Further, in the present embodiment, the photographing apparatus 10 is installed on the ceiling on the dining table, but the installation location of the photographing apparatus 10 is not particularly limited as long as a meal state can be photographed.

DESCRIPTION OF SYMBOLS 1 Meal advice system 10 Imaging device 20 Biometric data measurement device 30 Meal advice provision device 40 Input device (desired condition input unit)
50 meal environment control device (meal environment control unit)
100 Server 110 Meal Record Information Storage Unit 120 Biometric Data Information Storage Unit 130 Analysis Unit (Relevance Data Creation Unit)
140 Meal advice generator

Claims (8)

A photographing device for photographing the subject eating,
A biological data measuring device for measuring the subject's biological data;
A meal record information accumulating unit for acquiring and accumulating meal record information including a plurality of items related to meals from an image or a moving image photographed by the photographing device;
A biological data information storage unit that stores biological data information related to the biological data measured by the biological data measuring device;
Based on the meal record information stored in the meal record information storage unit and the biometric data information stored in the biometric data information storage unit, the relationship between each item of the meal record information and the variation of the biometric data is analyzed. A relevance data creation unit for creating relevance data,
A meal advice generating unit for generating meal-related advice based on the relevance data;
A meal advice providing device for providing the advice generated by the meal advice generation unit to the subject;
A meal advice system. The relevance data includes a contribution rate of each item of the meal record information to the biological data,
The meal advice generating unit generates the advice for each item of the meal record information having a large contribution rate.
The meal advice system according to claim 1. The relevance data creation unit
Normalize each item of the meal record information stored in the meal record information storage unit,
The contribution rate is calculated by performing multiple regression analysis on the biological data using the normalized value of each item of the meal record information.
The meal advice system according to claim 2. Further comprising a desired condition input unit for inputting desired conditions of the subject for each item of the meal record information,
The relevance data creation unit creates the relevance data by extracting the meal record information that matches the desired condition from the meal record information accumulated in the meal record information accumulation unit.
The meal advice system as described in any one of Claim 1- Claim 3. The meal record information includes two or more items of a dish name, a meal amount, a meal time, a total meal time, a meal speed, a meal order, and the presence or absence of drinking.
The meal advice system according to any one of claims 1 to 4. The photographing device is fixed at a predetermined position,
The meal advice system according to any one of claims 1 to 5. The photographing device is configured to automatically photograph the subject eating a meal,
The meal advice system according to any one of claims 1 to 6. A meal environment control unit for controlling the meal environment in accordance with the advice;
The meal advice system according to any one of claims 1 to 7.

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