JP2014241044A - Food information support device, food information support program, storage medium and food information support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique for customizing a recipe or menu in accordance with the situation or attribute of an individual by an inexpensive and non-complicated operation or processing by using IT technology.SOLUTION: A food information support device 100 includes: an acquisition part ACQ for acquiring the food information of a first user including at least one menu and at least one piece of personal information of the first user; a storage part 120 for storing a food information control master table including a food information control rule as a rule for changing food information including at least one menu associated with each of a plurality of pieces of personal information; an extraction part EXT for extracting the food information control rule corresponding to the first user by referring to the food information control master table on the basis of the at least one piece of acquired personal information of the first user; and a generation part GEN for generating customized food information by customizing the food information of the first user on the basis of the extracted food information control rule.

Description

The present invention relates to an information support device, a food information support program, a storage medium, and a food information support method, and in particular, an information support device that generates customized food information according to personal information of a person, a food information support program, a storage medium, and It relates to a dietary information support method.

  As a prior art, there is a “recipe providing system and recipe providing method” (see Patent Document 1). This is a technique for “providing a recipe providing system and a recipe providing method that can provide benefits to both the purchaser and the seller and improve operability”. The product information is read from the product record, the product information is extracted from the purchased product database that is compiled using the customer identification information recorded on the member's card, etc., and the food material discrimination unit discriminates the food material information from the product information And output to the recipe search unit, and the recipe search unit searches the recipe information from the recipe database using at least the ingredient information as a search condition.

JP 2003-22305 A

  As represented by the prior art described above, in the past technology, there is only a mechanism for searching and providing recipe information stored in a database. Recipe information suitable for an individual is generated from existing recipe information. There is nothing that provides or converts recipe information according to individual attributes and circumstances. That is, with this prior art, it is impossible to customize according to the personal situation and attributes. On the other hand, nutritionists perform calorie calculations, etc., and provide menus that are adapted to the standard person. However, menus and recipes customized at the individual level are mostly provided for reasons such as cost and processing complexity. The current situation is not. In other words, it would be convenient if there was a technique to customize recipes and menus according to the personal situation and attributes using low-cost and uncomplicated operations and processing using IT technology, but a system based on such an idea Not developed.

  Therefore, an object of the present invention is to provide a food information support apparatus, a food information support program, a storage medium, and a food information support method that generate food information customized according to personal information of an individual. A further object of the present invention is to provide a food information support device, a food information support program, a storage medium, and a food information support method for generating food information customized according to personal social personal information.

In order to solve the above-described problems, the food information support apparatus according to the first invention
An acquisition unit for acquiring food information of the first user including at least one menu and at least one personal information of the first user;
A storage unit for storing a food information control master table including a food information control rule that is a rule for changing food information including at least one menu associated with each of a plurality of personal information;
An extraction unit that extracts a food information control rule corresponding to the first user with reference to the food information control master table based on at least one personal information of the acquired first user;
Based on the extracted food information control rule, a generation unit that generates customized food information that customizes the food information of the first user;
Have

The food information support apparatus according to the second invention
The food information control rule is
Adjust, increase, decrease, delete, or replace menu contents, recipes, ingredients, or seasonings,
Or add other menus, other foods, other beverages, other ingestions, other seasonings or other ingredients,
Or a rule that replaces with another menu,
It is characterized by that.

The food information support apparatus according to the third invention is
The personal information is
Medical history, chronic illness, medications, prescription drugs, disease affected, injury, genetic test information, medical chart information, pulse rate, heart rate, weight, height, physical information, blood pressure, blood glucose level, and blood test information At least one of
It is characterized by that.

The food information support apparatus according to the fourth invention is:
The personal information is
At least one of a food preference, a menu eaten in the past, a calorie intake, a standard calorie intake, and a menu table;
It is characterized by that.

A food information support apparatus according to the fifth invention is:
The storage unit
A combination of two or more of the contents, foods, ingredients, intakes, and seasonings included in the medicinal product, supplement, menu, menu, and one of the two or more combinations Adjust, increase, decrease, delete, or replace other menus, other foods, other beverages, other seasonings, other ingestions or other ingredients, or replace with other menus Or a recipe control master table that contains recipe control rules that change the cooking method;
The extraction unit is
The eating control rule corresponding to the first user by further referring to the eating control master table based on the acquired at least one personal information of the first user and / or the acquired eating information Extract
The generator is
Further, based on the extracted eating control rule, the first user's food information is customized, and customized food information is generated.
It is characterized by that.
That is, the eating control rule defines the compatibility of the contents, foods, ingredients, ingestions, or seasonings included in the menu, and the menu contents, recipes, ingredients, Adjust, increase, decrease, delete, or replace ingestions or seasonings, or add other menus, other foods, other beverages, other seasonings, other ingestions or other ingredients, or This is a rule for replacing with another menu or changing the cooking method.

A food information support apparatus according to the sixth invention is:
The acquisition unit
Further acquiring the first user's meal history information;
The storage unit
A history-based food information control master table that includes a history-based food information control rule that is associated with each of the food history information and that changes the food information based on the food history;
The extraction unit is
Based on the acquired food history information of the first user, referring to the history-based food information control master table, further extract a history-based food information control rule corresponding to the first user,
The generator is
Further, based on the extracted history-based food information control rule, the first user's food information is customized, and customized food information is generated.
It is characterized by that.

A food information support apparatus according to the seventh invention
The acquisition unit
Obtaining information on a social network service related to the first user as at least one personal information of the first user and / or food information of the first user;
It is characterized by that.

A food information support apparatus according to the eighth invention provides
The storage unit
Further storing an SNS related information control master table including an SNS related information control rule, which is a rule for changing food information based on SNS related information, associated with each of the SNS related information,
The acquisition unit
Further acquiring information on a social network service related to the first user;
The extraction unit is
From the acquired information on the social network service, an image, text, or position information related to food, drink or restaurant is extracted as SNS related information, and the SNS related information control is performed based on the extracted SNS related information. Referring to the master table, further extract SNS related information control rules corresponding to the first user,
The generator is
Further, based on the extracted SNS related information control rules, the customized food information of the first user is generated, and customized food information is generated.
It is characterized by that.

  As described above, the solving means of the present invention has been described as an apparatus (system). However, the present invention can also be realized as a method, a program, and a storage medium recording the program. It should be understood that these are included in the scope of the invention. Each step of the following methods and programs uses a processor such as a CPU or DSP and an arithmetic processing unit as necessary in the data processing, and the input data, processed / generated data, etc. It is stored in a storage device such as a magnetic tape, HDD, or memory.

For example, a program according to the ninth aspect of the present invention that realizes the present invention as a program is:
A food information support program that causes an arithmetic processing device to function as any of the above-described food information support devices.

In addition, for example, a computer-readable storage medium program according to the tenth aspect of the present invention, which realizes the present invention as a computer-readable storage medium,
A storage medium storing the food information support program.

Also, for example, the method according to the eleventh aspect of the present invention that realizes the present invention as a method is:
A food information support method using a computer having a processor,
Obtaining food information of a first user including at least one menu and at least one personal information of the first user;
Storing a food information control master table including a food information control rule that is a rule for changing food information including at least one menu associated with each of the plurality of personal information;
Extracting the food information control rule corresponding to the first user with reference to the food information control master table based on the acquired at least one personal information of the first user;
Based on the extracted food information control rule, generating customized food information in which the first user's food information is customized;
Is executed by the processor.

  According to the present invention, it is possible to generate food information customized according to personal information of an individual.

FIG. 1 is a block diagram showing an outline of a food information support apparatus (system) according to an embodiment of the present invention. FIG. 2 is a flowchart showing an example of processing executed by the apparatus shown in FIG. FIG. 3 is a screen interface showing an example of customized food information generated by the process of FIG. FIG. 4 is a flowchart showing another example of processing executed by the apparatus shown in FIG. FIG. 5 is a flowchart illustrating an example of processing according to the embodiment using the eating control rule. FIG. 6 is a screen interface showing an example of customized meal information generated by the process of FIG. FIG. 7 is a block diagram showing an outline of a food information support apparatus (system) according to an embodiment of the present invention. FIG. 8 is a flowchart showing an example of processing executed by the apparatus shown in FIG. FIG. 9 is a schematic diagram showing an example of customized meal information generated by the process of FIG. FIG. 10 is a schematic diagram illustrating an example of customized meal information generated by the process of FIG. FIG. 11 is a schematic diagram illustrating an example of customized meal information generated by the process of FIG.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing an outline of a food information support apparatus (system) according to an embodiment of the present invention. As shown in the figure, the meal information support apparatus 100 (FISD) includes a control unit (CPU, arithmetic processing unit, processor) 110, an input unit IN, an output unit OUT, a communication unit COM, a storage unit 120, and a display unit DIS. Have The meal information support apparatus 100 can be a personal computer, a mobile phone terminal, or a smartphone, or it is preferable to incorporate these, or to be mounted on these apparatuses or devices. The output unit OUT can output information stored in the apparatus and generated information to the printer PRN. The display unit DIS can also display information stored in the apparatus and generated information. The input unit IN receives an operation instruction or information input by a user input via the mouse MUS or the keyboard KBD, and passes the received information and data to the acquisition unit ACQ. For example, the information passed from the input unit IN to the acquisition unit ACQ includes the first user's meal information including a menu and the first user's personal information.

  The control unit 110 includes an acquisition unit ACQ, an extraction unit EXT, and a generation unit GEN. The storage unit 120 stores a meal information control master table FICMT, a meal information table (recipe information database) FIT, and a personal information table PIT. The acquisition unit ACQ accesses the recipe server RS having a database (not shown) including food information such as various menus, menus, and recipes via the communication unit COM and the network NET to obtain menus, menus, recipes, and the like. It is possible to acquire food information. Alternatively, the acquisition unit ACQ acquires food information including at least one menu (menu, recipe information, etc.) via the input unit IN, the keyboard KBD, and the mouse MUS. Further, the acquisition unit may acquire food information including at least one menu (menu, recipe information, etc.) from the food information table FIT stored in the storage unit.

  The acquisition unit ACQ further acquires at least one personal information of a user who is an owner or a user of the present apparatus from the SNS server SNSS via the communication unit COM and the network NET. The acquired personal information is stored in the personal information PIT in the storage unit 120 or overwritten. As described above, the personal information is preferably acquired from a server of an external social network service or the like, but may be input through the input unit IN. Personal information includes, for example, medical history, chronic illness, disease affected, injury, genetic test information, chart information, pulse rate, heart rate, weight, height, physical information, blood pressure, blood glucose level, blood test information, etc. is there. The personal information may be a food preference, a menu eaten in the past, a calorie intake, a standard calorie intake, and a menu table.

The meal information control master table FICMT stored in the storage unit 120 is a rule for changing meal information including at least one menu associated with each of a plurality of personal information.
Food information control rules adjust, increase, decrease, delete, or replace menu contents, recipes, ingredients, or seasonings.
Or add other menus, other foods, other beverages, other ingestions, other seasonings or other ingredients,
Alternatively, it is a rule for replacing with another menu.

Specific examples of rules for changing (changing) food information include the following.
<< Personal information: Rules that change food information >>
Abnormal blood pressure: Decrease in salt (3% decrease)
Obesity (eg, body weight 80 kg or more): Calorie reduction (5% reduction), or partial replacement of sugar to low calorie sweetener Obesity (eg, body weight 100 kg or more): Calorie reduction (15% reduction), or Substitution of sugar to low calorie sweetener Obesity by BMI value (eg BMI value 25 or more): Calorie reduction (5% reduction) or substitution of sugar to low calorie sweetener BMI value causes extreme obesity (eg BMI value) 40 or more, obesity degree 4 or more): Calorie reduction (35% reduction), or replacement of sugar with a low calorie sweetener Low body weight due to BMI value (for example, BMI value less than 18.5): Calorie increase (10% increase)
High frequency of sports (every day, running 2km, cycling 5km, etc.): Increase in high protein components such as meat and eggs (10% increase)
High body fat percentage (for example, 25% or more): Calorie reduction (15% reduction) or substitution of sugar with low calorie sweetener High body fat percentage (for example, 35% or more): Calorie reduction (25% reduction) Or, change from meat dishes to fish dishes, or change meat dishes to low-calorie parts, add salad As a past history or chronic disease, hyperlipidemia: reduced calories (15% reduction), Or replace sugar with low calorie sweetener, or add salad, increase salad (30% increase)
Change to a low-calorie recipe version of the same menu for diabetes and history

  For example, when the acquired personal information is hyperlipidemia as a past history, the extraction unit EXT refers to the diet information control master table FICMT based on “historical history: hyperlipidemia”. As a dietary information control rule corresponding to the user, “Rule to change dietary information associated with“ hyperlipidemia as a past history or chronic disease ””: “calorie reduction (15% reduction) or low calorie from sugar” “Substitution with sweetener or salad addition, salad increase (30% increase)” is extracted. And the production | generation part GEN produces | generates the customized food information which customized the said user's food information based on the extracted food information control rule. For example, let us consider a case where the acquired food information is recipe information (menu) for “miso soup, takuwan, and oyakodon”.

<Oyakodon recipe (for 4 people)>
Chicken thigh: 220g
Onions: 2 Eggs: 5 Sugar: 5 tablespoons
Mirin: Appropriate amount Water: 450cc
Rice (white rice): 600g
<Miso soup (for 4 people)>
Miso: 6 tablespoons
Dashi seasoning: 25g
Tofu: Iccho Dried seaweed: 20g
Leek: 30g
<Takuwan (for 4 people)>
16 slices

The generation unit GEN changes the recipe of the acquired food information and the menu based on the food information control rule, for example, “the recipe for parent and child rice” so that the calories are reduced (15% reduction) as follows.
<Customized Oyakodon recipe (for 4 people)>
Chicken thigh: 180g (220g before change)
Onions: 2.5 (2 before change)
Egg: 5 Sugar: 4 tablespoons
Mirin: Appropriate amount Water: 450cc
Rice (white rice): 600g

  As described above, the food information (menu) may be dynamically changed so as to conform to the rules (in this case, to reduce calories) by adjusting the amount of one ingredient or component of the menu. It is possible that the taste balance of the menu will be lost. In order to cope with such cases, various rules such as low-calorie version, standard version, sugar-free version, low salt version, etc. of various menus are adapted, and the balance of taste is greatly impaired. In the meal information table FIT, “menus and menus” and “sets of several menus” that can be used as customized meal information are stored in the meal information table FIT. Food information that conforms to the extracted rules may be selected.

  In this way, the generated information and intermediate data and acquired data are transmitted to the outside, displayed on the display unit, and the generated information and intermediate data and acquired data are stored in the storage unit. It should be noted that other actual modes described later are possible as well. In addition, this apparatus implement | achieves (executes) the function and processing procedure (method) of this apparatus on computers, such as general purpose computers, special purpose computers, servers, PCs, smart phones, and mobile phone terminals, or these computers. It is preferable to construct the apparatus on a computer by holding the program module in a CPU or storage unit of the computer or reading it from an external server or storage, and the same applies to each of the following embodiments. is there.

  FIG. 2 is a flowchart showing an example of processing executed by the apparatus shown in FIG. As shown in the figure, in step S11, the acquisition unit ACQ acquires food information and personal information. Next, in step S12, the storage unit 120 stores a food information control master table including a food information control rule that is a rule for changing food information including at least one menu associated with each of the plurality of personal information. Store. Note that if the storage step such as step S12 is performed once, it is not necessary to re-execute until the information is changed. Alternatively, the storage step becomes unnecessary by mounting a storage medium or storage device such as a ROM or flash memory storing the information on the apparatus or computer.

  Next, in step S13, the extraction unit EXT extracts a food information control rule corresponding to the user with reference to the food information control master table based on the acquired at least one personal information. The rule extracted in this manner is a food information control rule corresponding to the personal information of the user, that is, the personal attribute or feature. In step S14, the generation unit GEN generates customized food information in which the user's food information is customized based on the extracted food information control rules. Finally, in step S15, the display unit DIS displays customized meal information obtained by customizing the user's meal information. FIG. 3 shows an example of customized meal information.

  FIG. 3 is a screen interface showing an example of customized food information generated by the process of FIG. As shown in the figure, four windows WD10, 11, 12, and 13 are displayed on the screen SCR10 of the display unit DIS. The window WD10 displays a recipe for the menu “parent and child bowl” which is a part of the acquired food information. The window WD11 displays “customized food information” generated by the present apparatus. Ingredients, components, and quantities changed from before the customization are highlighted with underlined and bold lines, and the numerical value and degree of calorie reduction are also displayed. The user can easily grasp what the food information customized by this apparatus is, what components and ingredients have been changed by customization, and the like. The window WD12 is used for rule extraction, and “history: hyperlipidemia” is displayed as personal information in which the corresponding rule is hit (matched) in the search (used for the search, but there is no matching rule. Personal information is displayed at the bottom.) In the window WD13, “Rules for changing food information” extracted from the personal information: “As a past history or chronic disease, hyperlipidemia: calorie reduction (15% reduction), or from sugar to low calorie sweetener ”Or salad addition, salad increase (30% increase)” is displayed.

  FIG. 4 is a flowchart showing another example of processing executed by the apparatus shown in FIG. The process of FIG. 4 is basically the same as the process shown in FIG. 2 except for step S14-1, and based on the customized meal information, the stored meal information table FIT is changed to the customized meal information. It incorporates a mechanism for extracting food information such as menus and recipes that are similar or compatible. Description of similar processing is omitted, but it should be noted that the processing in FIG. 4 is the same as the processing in FIG. 2 unless otherwise specified. This is another embodiment unless otherwise noted.

  In step S14-1 of this embodiment, the generation unit GEN or the extraction unit EXT (may be another functional unit) customizes the meal information of the user based on the extracted meal information control rule. The food information table FIT is generated by searching the food information table FIT for food information similar to or matching the customized food information, and the extracted food information is replaced with the customized food information. Alternatively, based on the extracted food information control rule, food information that matches the rule may be directly searched and extracted from the food information FIT. Preferably, it is the same as the menu or recipe of the acquired food information, for example, if the acquired is “curry rice”, it is to extract “curry rice” with a different recipe, but it is necessary to reduce calories etc. Other menus (Hayashi Rice, fried rice, etc.) that match the rules to be played may be extracted.

  Next, an embodiment will be described in which the suitability of eating is checked, food information having many problems in eating is identified, and the cooking method or combination is improved to improve the suitability without causing problems in eating. For example, raw radishes (such as radish grated ginseng) and carrots are said to have poor compatibility. An enzyme called ascorbinase contained in carrots destroys vitamin C contained in radishes. When acquiring food information including such ingredients, it is important to point out that there is a problem with low suitability for eating together, and to improve the suitability for eating so that there is no problem. The device has.

  As shown in FIG. 1, the storage unit 120 defines mutual compatibility of contents, foods, ingredients, intakes, or seasonings included in a menu, and the menu contents, Adjust, increase, decrease, delete, or replace recipes, ingredients, intakes, or seasonings, or add other menus, other foods, other beverages, other seasonings, other intakes, or other ingredients Or a meal control master table FMMT including a meal control rule for changing to another menu or changing the cooking method. That is, the eating control rule is a combination of any two or more of contents, foods, ingredients, intakes, and seasonings contained in the ingested medicine, supplement, menu, menu, Adjust, increase, decrease, delete, or replace one of two or more combinations, or add other menus, other foods, other beverages, other seasonings, other ingestions or other ingredients, Or it is a rule which replaces with another menu or changes a cooking method.

  The extraction unit EXT further refers to the eating control master table FMMT based on the acquired at least one personal information of the user and / or the acquired eating information, and determines the eating control rule corresponding to the user. Extract. And the production | generation part GEN produces | generates the customized food information which customized the said user's food information further based on the extracted eating control rule.

  FIG. 5 is a flowchart illustrating an example of processing according to the embodiment using the eating control rule. Steps S21, 23, and 26 in the process of FIG. 5 are the same as the processes shown in FIG. 2 (steps S11, 13, and 15), and thus description thereof is omitted, and only additional or different processes are described. As shown in the figure, in step S22, the storage unit 120 includes a food information control rule including a food information control rule that is a rule for changing food information including at least one menu associated with each of a plurality of personal information. The master table is stored, and the storage unit 120 further defines the compatibility of the contents, food, ingredients, intakes, or seasonings included in the menu, and the contents of the menu are determined according to the compatibility. Adjust, increase, decrease, delete, or replace recipes, ingredients, intakes, or seasonings, or add other menus, other foods, other beverages, other seasonings, other intakes, or other ingredients The table further includes an eating control master table FMMT that includes an eating control rule to be added, replaced with another menu, or to change the cooking method.

  In step S24, the extraction unit EXT further refers to the eating control master table FMMT based on the acquired at least one personal information of the user and / or the acquired eating information, and corresponds to the user. Extract matching control rules. The personal information here includes, for example, food information such as a menu, recipe, menu, and the like of a meal eaten by the user before the acquired food information. In step S25, the generation unit GEN generates customized food information in which the user's food information is customized based on the extracted “food information control rule” and “mealing control rule”. In this way, according to the present embodiment, by using the two rules “food information control rule” and “meal control control rule” extracted based on the user's personal information and food information, even the food is considered. Can be provided.

  FIG. 6 is a screen interface showing an example of customized meal information generated by the process of FIG. As shown in the figure, four windows WD20, 21, 22, and 23 are displayed on the screen SCR20 of the display unit DIS. The window WD20 displays “Food A”, “Food B”, and “Food C” which are part of the acquired food information. The window WD21 displays “customized food information” generated by the apparatus. Ingredients, ingredients, and quantities changed from before the customization are highlighted with underlined and bold lines, and the calorie value and the degree of matching ratio are also displayed. The user can easily grasp what the food information customized by this apparatus is, what components and ingredients have been changed by customization, and the like.

  The window WD22 displays the presence / absence of personal information used for rule extraction and hitting (matching) the rule in the search. In the window WD23, the “mealing control rule” extracted from the food information: “The food A and the food C have a problem that the food compatibility rate is 30% (the calcium absorption rate is reduced by 90%). Since F (substitute ingredient for ingredient A) and ingredient C have a match rate of 90% (no decrease in calcium absorption rate), in the case of ingredient A and ingredient C, either ingredient A or ingredient C is removed. Or it is desirable to change to a combination of food F and food C. ”is displayed. In this example, the eating control rule is extracted from the meal information, but the information at the last meal is acquired as personal information and eating history information from an SNS server, etc., and the eating control rule is extracted from these information. Also good.

Specific examples of the “mealing control rule” include the following.
<< Mutual compatibility of ingredients and ingredients: eating control rules >>
Radish (raw, unheated) and ginseng compatibility 30% (vitamin C in ginseng destroyed): Remove one or replace with other ingredients (80% compliance (first priority)). Or cook radishes (matching rate 70% (2nd priority)).
Food G (heating), Food H: Compliance rate 50% (burden on the gastrointestinal tract). Remove one or replace it with other ingredients (matching rate 80% (first priority)). Alternatively, the amount of one is reduced (70% matching rate (2nd priority)). Or. Ingredients G are cooked raw (matching rate 60% (priority 3rd)).
Diabetes therapeutic agent J and mushroom K conformity rate 20% (the medicinal component of therapeutic agent J is destroyed): mushroom K is removed (conformity rate 90% (first priority)). Replace with mushroom L as an alternative to mushroom K (matching rate 70% (priority ranking 2nd)).

  FIG. 7 is a block diagram showing an outline of a food information support apparatus (system) according to an embodiment of the present invention. As shown in the figure, the meal information support apparatus 200 (FISD) includes a control unit (CPU, arithmetic processing unit, processor) 210, an input unit IN, an output unit OUT, a communication unit COM, a storage unit 220, and a display unit DIS. Have

  In the present embodiment, the storage unit 220 further stores an SNS related information control master table SCCMT including an SNS related information control rule that is associated with each of the SNS related information and changes the meal information based on the SNS related information. To do. The acquisition unit ACQ further acquires information on the social network service related to the user from the SNS server SNSS via the communication unit COM and the network NET, and the extraction unit EXT further acquires the information on the social network service acquired. , Images related to food, drinks or restaurants, voice information, information obtained by replacing voice information with text information, text, or position information is extracted as SNS related information, and the SNS related information is extracted based on the extracted SNS related information. The SNS related information control rule corresponding to this user is further extracted with reference to the information control master table. And the production | generation part GEN produces | generates the customized food information which customized this user's food information further based on the extracted SNS related information control rule. In the present embodiment, the control unit 210 further includes a knowledge extraction unit KEX. The knowledge extraction unit KEX performs preprocessing of personal information and food information acquired by the acquisition unit ACQ. For example, from the text received from the SNS server SNSS or input to the service on the SNS server, the personal information that is the personal attribute of the user, the next food information of the individual, and the like can be obtained using the morphological analysis technique. Alternatively, it can be cut into words, extracted as knowledge based on their dependency and proximity, and the extracted personal information and food information can be passed to the acquisition unit. The knowledge extraction unit KEX uses, for example, a storage unit, an external database, an external image analysis device, or the like, for example, an image received from the SNS server SNSS or input to a service on the SNS server. It is also possible to extract “personal information” that is a personal attribute of the user or “food information” of the individual as knowledge from information using existing techniques. In this embodiment, the knowledge extraction unit KEX in the apparatus extracts knowledge, but this function is provided in the SNS server SNSS, and distributed processing is performed, and “knowledge” (food information, personal information, etc.) is processed as a processing result. You may get it.

  FIG. 8 is a flowchart showing an example of processing executed by the apparatus shown in FIG. As shown in the figure, in step PRE30, the knowledge extraction unit KEX obtains from the SNS server SNSS, or is input to the SNS server SNSS from the text, image, or position information, “food information and personal information”. "Information" is extracted as knowledge. For example, information input by the user A is displayed on the social network screen interface SNSI when the present apparatus is mounted on a mobile terminal such as a smartphone, or information received as information related to the user A is displayed. When the windows S-wind1, S-wind2, and S-wind3 are present, the knowledge extraction unit KEX uses the food information "" as knowledge from the images and text displayed in the window S-wind3 as the food information of the user A. It is possible to extract “milk: 350 cc, rice: two go, miso soup: 1 serving, soup: 1 serving” (in some cases, xxx kilocalories). For example, for details of the food information as described above, it is necessary to store an image recognition technique, an appropriate pattern image, and food information associated therewith in a storage unit or the like, and refer to them. Alternatively, the knowledge extraction unit KEX uses the text (sentence) displayed in the window S-wind1 as the personal information of the user A, specifically, “Diet-oriented” and “Textured vegetables” It is possible to extract personal information as knowledge from "I need a lot of salads" from "I need more salad", and from the text "I have gained weight", such as "Obesity", "Weight gain", "Diet-oriented" . In addition, the knowledge extraction unit ACQ uses personal information “Prefer Italian food (preference for food)”, “Italian food (food preference)” from the image displayed on the window S-wind2 as personal information of the user A. History) ”and the like can be extracted. If there is any rule that matches these personal information, this rule is applied, and this device customizes the meal information or gives some advice to the meal information (for example, suggesting another menu, (Addition of salad, increase of vegetable in the soup, etc.). The knowledge extracting unit can be included in the extracting unit.

  In step S31, acquisition unit ACQ acquires “food information and personal information” included in the knowledge extracted from information exchanged by SNS. Next, in step S32, the storage unit 120 includes a food information control master table including a food information control rule that is a rule for changing food information including at least one menu associated with each of the plurality of personal information. And an SNS related information control master table including SNS related information control rules.

  Next, in step S33, the extraction unit EXT refers to the meal information control master table based on the acquired at least one personal information, extracts the meal information control rule corresponding to the user, and further converts it into the personal information. Based on the SNS related information control master table, the SNS related information control rule corresponding to the user is extracted. In addition, it is also possible to include the SNS related information control master table in the meal information control master table to form one meal information control master table. Advantages of preparing and using a separate SNS related information control master table include social relationships (such as the number of comments and contacts, ranking of friendliness, family flags, etc.), social By adding the numerical value and rank of the strength of the relationship to the extracted knowledge and setting the rules for hits (matches) to change depending on the numerical value and rank, the contents of customization can be adjusted more finely That is. In addition, the rule extracted from the food information control master table and the rule extracted from the SNS related information control master table specify the superiority or inferiority (priority order etc.) when contradictory customization instructions are issued, and flexibly It can also be customized.

  In step S34, the generation unit GEN generates customized food information in which the user's food information is customized based on the extracted food information control rule and the SNS related information control. Finally, in step S35, the display unit DIS displays customized food information obtained by customizing the user's food information. FIG. 9 shows an example of customized meal information.

FIG. 9 is a schematic diagram showing an example of customized meal information generated by the process of FIG. As shown in the figure, social information of the user A (first user who is the user himself / herself) is displayed on the social network screen interface SNSI10. The knowledge extraction unit KEX extracts knowledge KN11 “excess calories (overtake of carbohydrates)” from the text (sentence) or image displayed in the window S-wind 12 as personal information of the user A.
<Personal information (knowledge)>
Exceeded calories (excess carbohydrate)

In addition, the knowledge extraction unit KEX displays the user B's activity record on the SNS of the user A because the social relationship with the user A is defined on the SNS (the user A and the user B have a family relationship). The knowledge KN12 of “family disease: diabetes” and “family medication: diabetes drug” is extracted from the text (sentence: I took diabetes medicine) displayed in the window S-wind 13 as information . In this case, the social personal information of the user A is extracted as knowledge.
<Social personal information (knowledge)>
Family disease: Diabetes Family medications: Diabetes

Moreover, the knowledge extraction part KEX can extract the food information of the user A from SNS information. In the example of the figure, the text of window S-wind11 “Tonight, I will eat a usual YM family special curry at home” and user B (user A and user B) whose social relationship with user A is defined by SNS. It is possible to extract food information knowledge KN13 from the information in the window S-wind14 of the family.
<Food information (knowledge)>
Onion x pieces carrot y pieces white rice xxx g
Potato x Eggplant x Piece Carreaux xxx g
Olive oil yyy g
Milk zzz g
(Calories per person: 650kcal)
For convenience of explanation and plotting, the quantity is omitted such as xxxxg. However, in actual devices and programs, the quantity is also properly managed, and this is the same in other embodiments. Please note that.

From the personal information described above, the rule EXTR11 “excess calories: reduce carbohydrate-based ingredients (noodles, rice, bread, etc.) by 10%” is extracted as a food information restriction rule.
<Extracted (hit) rule)>
Calorie excess: Reduce carbohydrate-based ingredients (noodles, rice, bread, etc.) by 10%.
Further, the rule EXT12 is extracted as the SNS related information control rule from the social personal information described above.
<Extracted (hit, matched, matched) social rules)>
Family disease: Diabetes Family medications: Diabetes

And the production | generation part GEN produces | generates the customized food information CTF10 which customized the user's food information based on the extracted food information control rule EXT11 and the SNS related information control rule EXT12.
<Customized food information>
Onion x pieces Carrot y pieces White rice hhh g (xxxg before change)
Potato x Eggplant x Piece Carreaux xxx g
Olive oil yyy g
Milk zzz g
2 tomatoes (additional)
Calories per person: 500kcal (150kcal reduction)

  In this embodiment, personal information is extracted and acquired only from SNS related information, but is extracted from mail information (medical record information, personal information, etc.), notes, image data, etc. stored in the storage unit in the apparatus. It is also possible to obtain. When this apparatus is a mobile phone terminal or a personal computer, it is convenient to extract from the above mail data or the like in addition to the SNS related information, or to obtain it directly. Similarly, food information can be extracted and acquired from e-mail information (medical record information, personal information, etc.), memos, and image data.

  FIG. 10 is a schematic diagram illustrating an example of customized meal information generated by the process of FIG. As shown in the figure, the social information of the user A (the first user who is the user) is displayed on the social network screen interface SNSI20. In this embodiment, the social network screen interface SNSI 20 displays information such as the profile of the friend of User A (person who has a social (social) relationship with User A), public recipes, menus, etc. in the window S-wind23. Is done. In the social network screen interface SNSI 20, the information of the user A is also displayed as social information in the windows S-winds 21 and 22, respectively.

The knowledge extraction unit KEX obtains the knowledge of “Japanese food and health-oriented preference” from the geographical information (information such as the latitude, longitude, and address of the soba restaurant) displayed in the window S-wind 32 as personal information of the user A. KN22 is extracted.
<Personal information (knowledge)>
Healthy taste in Japanese food

The knowledge extraction unit KEX can extract the food information of the user A from the SNS information. In the example of the figure, it is possible to extract food information knowledge KN21 from the text “I want to eat bonito tonight” in the window S-wind21. In this case, in response to the result that the information specifying the contents and recipe of the strawberry is not found in particular, the standard potato calories and recipe are acquired and displayed from the stored food information table FIT and the recipe server RS. It is preferable to do.
<Food information (knowledge)>
Katsudon (calories: 700kcal)

In addition, the knowledge extraction unit KEX is “Yamato Hanako” which is a user whose social relationship with the user A is defined on the SNS (since the user A and the user have a relationship of friends, Profile of the user “Yamato Hanako”, “Like” and “Favorites” (flags indicating that the user has a positive feeling about a certain event, product, thing, act, person, etc.), The text (sentence: managed dietitian) displayed on the window S-wind 23 as information of a comment (or vice versa) on a person having a social relationship (or vice versa) and the friend of user A From this relationship, knowledge KN23 “managed dietitian and friend” is extracted as social personal information.
<Social personal information (knowledge)>
Administrative dietitian and friends

From the personal information described above, as a food information restriction rule, rule EXTRL21 “Japanese food and healthy taste preference: replace ingredients contained in the menu with similar low-calorie ones (replace beef with pork, replace pork with chicken) Etc.) ”is extracted.
<Extracted (hit) rule)>
Healthy-oriented taste in Japanese food: Replace the ingredients in the menu with similar low-calorie foods (eg replace beef with pork, replace pork with chicken).

Further, the rule EXT22 is extracted as the SNS related information control rule from the social personal information described above.
<Extracted (hit) social rules)>
Cooking expert (registered dietitian or culinary researcher) and friends: choose the recipe that has the highest similarity among the recipes published by that person and replace it with the selected menu

And the production | generation part GEN produces | generates the customized food information CTF20 which customized the user's food information based on the extracted food information control rule EXT21 and the SNS related information control rule EXT22. In this case, one rule suggested replacing pork with chicken, and the other rule was a similar recipe changed from pork (chicken) to chicken (chicken), so both Customized to meet the rules.
<< Customized food information >>
Hanako style chicken and bowl Calories: 500kcal (200kcal reduction)
As described above, according to this embodiment, the user A can customize food information suitable for the user only by making an event or comment about a meal while establishing a social relationship on the SNS. The user can improve his / her eating habits based on such customized food information.

  FIG. 11 is a schematic diagram illustrating an example of customized meal information generated by the process of FIG. As shown in the figure, the social information of the user A (the first user who is the user) is displayed on the social network screen interface SNSI30. In this embodiment, the social network screen interface SNSI 30 displays information such as products and events that the user A has shown interest and empathy in the window S-wind 32. The information of the user A is also displayed on the window S-wind 31 as social information on the social network screen interface SNSI30.

The knowledge extraction unit KEX uses the “set menu 333” (preferably the contents of the contents) from the image (or text information) displayed on the window S-wind 31 as the food information of user A (may be personal information). Knowledge KN31 (quantity) is extracted. In this case, it is preferable to obtain and display the recipe of the set menu 333 from the stored food information table FIT or the recipe server RS in response to the result that the contents of the set menu 333 and information defining the recipe are not particularly found. It is.
<Food information (knowledge)>
Set menu 333
<Social personal information (knowledge)>
I like seasoning RRR (preference)
200ml milk
Fried rice 200g
300g miso ramen
(Breakdown: noodles 200g, miso 30g, soy sauce 20g, water 40g, ingredients 10g)

Moreover, the knowledge extraction part KEX can extract the social personal information of the user A from SNS information. In the example shown in the figure, information about “Like 30, User A says“ Like ”” for Kofu Wine KKF in window S-wind 32 and “Favorite 150” for seasoning RRR in window S-wind 33 are shown. From the user A, the friend user B says "favorite"", it becomes possible to extract the social personal information knowledge KN32, 33.
<Social personal information (knowledge)>
Liquor likes wine (preference)
<Social personal information (knowledge)>
Friends like seasoning RRR (preference)

  In this case, the user A does not directly press “favorite” or “like” on the seasoning RRR, but the user B who is a friend having a social relationship with the user A selects “favorite”. Since it is pressed, the user A's friend User A may acquire the knowledge that the user A himself / herself prefers the seasoning RRR with the logic that the user A prefers the seasoning RRR. For such knowledge, if there are three or more friends, it is preferable to set a judgment criterion such as extraction as knowledge and extract knowledge based on the criterion. In addition, in the rules described later, it is determined whether to apply the rules according to the number of “likes”, the number of friends, the degree of familiarity such as friends and family (degree of social relationship). Also good.

From the above-mentioned social personal information, the rule EXT31 “Liquor likes wine (preference): If the drink included in the menu is other than wine, 200 ml of wine is added” is extracted from the social personal information described above. .
<Extracted (hit) rule)>
Liquor prefers wine (preference): If the drink included in the menu is not wine, add 200ml of wine

In addition, the rule EXT32 is extracted as the SNS related information control rule from the social personal information described above.
<Extracted (hit) social rules)>
If the friend likes the seasoning RRR and has 100 or more favorites (or “likes”): If it is not the seasoning RRR, add the seasoning RRR by 10% of the existing seasoning .

And the production | generation part GEN produces | generates the customized food information CTF30 which customized the user's food information based on the extracted SNS related information control rule EXT31,32. In this case, one rule suggested replacing pork with chicken, and another rule was a similar recipe changed from pork to chicken, so it was customized to meet both rules. It has been done.
<< Customized food information >>
Set menu 333 (plus, wine and seasoning RRR)
(Add 200ml of wine, seasoning RRR 5g)

  Thus, according to the present embodiment, the user A can obtain customized food information suitable for the user only by making an event or comment regarding some meal while building a social relationship on the SNS, Based on such customized food information, the user can improve his / her eating habits, grasp problems of eating habits, and obtain suggestions for new eating habits. In addition, a company that provides such a meal information support program (apparatus) can use this technique as an advertising medium for new products. For example, if Kofu Wine KKF or seasoning RRR is the target of advertising, it will potentially match the product by actively setting up events, articles, and “likes” on the social service network (SNS). It is also possible to conduct advertising activities for these products as so-called targeting, focusing on users.

  In each of the above-described embodiments, the description has been given in a format in which all necessary information is obtained. However, in the case of insufficient information, the insufficient information is presented, the user is prompted to input, and the information input by the acquisition unit is acquired. Thus, it is preferable to perform the subsequent processing in a state where the shortage is eliminated. Also, the rules can be combined into one meal information control rule. According to the present invention, by obtaining a plurality of information of the family, the family can be customized to the most suitable menu, or the allergy information of the family, medicinal use, information on chronic diseases, etc. It is possible to provide a safe meal for all. In addition, when eating events (party, social gathering, dinner party, banquet, etc.) with multiple users, all users ’preferences, eating, allergies, medications, chronic illnesses, medical history, etc. were taken into account. Meals can also be provided. The acquired knowledge and personal information are preferably stored in the personal information table PIT of the storage unit and updated or used for rule extraction as necessary. Moreover, although the embodiment demonstrated the change of a foodstuff or a menu, it is also possible to change only a cooking method using the same foodstuff according to a rule. For example, the present apparatus can provide a method for reducing the calorie content of oil by changing from a cooking method using oil in a frying pan to a cooking method in a microwave oven or oven.

  Although the present invention has been described based on the drawings and examples, it should be noted that those skilled in the art can easily make various modifications and corrections based on the present disclosure. Therefore, it should be noted that these variations and modifications are included in the scope of the present invention. For example, the processes and functions included in each unit and each step can be rearranged so as not to be logically contradictory, and a plurality of means / units and steps can be combined or divided into one. Is possible. Alternatively, it should be noted that some components, functions, processes, steps, etc. of the apparatus, method, program, etc. according to the present invention can be located in a remote server or the like.

100 (FISD) food information support device 110 control unit 120 storage unit 200 food information support device 210 control unit 220 storage unit ACQ acquisition unit COM communication unit CTF10 customized food information CTF20 customized food information CTF30 customized food information DIS display unit EXT extraction unit GEN Generation unit EXT11 Food information control rule EXTRL12 Related information control rule EXTRL21 Food information control rule EXTRL22 Related information control rule EXTRL31 Related information control rule FICMT Food information control master table FIT Food information table FMMT Meal control master table IN Input unit KBD Keyboard KEX Knowledge Extractor KKF Kofu Wine KN11 Knowledge KN12 Knowledge KN13 Knowledge KN21 Knowledge KN22 Knowledge KN23 Knowledge KN31 Knowledge KN32 Knowledge MUS Mouse NET Network OUT Output unit PIT Personal information PIT Personal information table PRE30 Step PRN Printer KKF Kofu Wine RRR Seasoning RS Recipe server SCCMT Related information control master table SCR10 Screen SCR20 Screen SNSI Social network screen interface SNSI10 Social network screen interface SNSI20 Social Network screen interface SNSI30 Social network screen interface SNSS server WD10 window WD11 window WD12 window WD13 window WD20 window WD21 window WD22 window WD23 window S-wind1, 2, 3 window S-wind11,12,13,14 window S-wind21,22,23 window S-wind31,32,33 window

Claims (11)

A food information support device,
An acquisition unit for acquiring food information of the first user including at least one menu and at least one personal information of the first user;
A storage unit for storing a food information control master table including a food information control rule that is a rule for changing food information including at least one menu associated with each of a plurality of personal information;
An extraction unit that extracts a food information control rule corresponding to the first user with reference to the food information control master table based on at least one personal information of the acquired first user;
Based on the extracted food information control rule, a generation unit that generates customized food information that customizes the food information of the first user;
A food information support apparatus having In the meal information support device according to claim 1,
The food information control rule is
Adjust, increase, decrease, delete, or replace menu contents, recipes, ingredients, or seasonings,
Or add other menus, other foods, other beverages, other ingestions, other seasonings or other ingredients,
Or a rule that replaces with another menu,
A food information support apparatus characterized by the above. In the meal information support device according to claim 1 or 2,
The personal information is
Medical history, chronic illness, medications, prescription drugs, disease affected, injury, genetic test information, medical chart information, pulse rate, heart rate, weight, height, physical information, blood pressure, blood glucose level, and blood test information At least one of
A food information support apparatus characterized by the above. In the meal information support device according to claim 1 or 2,
The personal information is
At least one of a food preference, a menu eaten in the past, a calorie intake, a standard calorie intake, and a menu table;
A food information support apparatus characterized by the above. In the meal information support apparatus according to any one of claims 1 to 4,
The storage unit
A combination of two or more of the contents, foods, ingredients, intakes, and seasonings included in the medicinal product, supplement, menu, menu, and one of the two or more combinations Adjust, increase, decrease, delete, or replace other menus, other foods, other beverages, other seasonings, other ingestions or other ingredients, or replace with other menus Or a recipe control master table that contains recipe control rules that change the cooking method;
The extraction unit is
The eating control rule corresponding to the first user by further referring to the eating control master table based on the acquired at least one personal information of the first user and / or the acquired eating information Extract
The generator is
Further, based on the extracted eating control rule, the first user's food information is customized, and customized food information is generated.
A food information support apparatus characterized by the above. In the meal information support device according to any one of claims 1 to 5,
The acquisition unit
Further acquiring the first user's meal history information;
The storage unit
A history-based food information control master table that includes a history-based food information control rule that is associated with each of the food history information and that changes the food information based on the food history;
The extraction unit is
Based on the acquired food history information of the first user, referring to the history-based food information control master table, further extract a history-based food information control rule corresponding to the first user,
The generator is
Further, based on the extracted history-based food information control rule, the first user's food information is customized, and customized food information is generated.
A food information support apparatus characterized by the above. In the meal information support device according to any one of claims 1 to 6,
The acquisition unit
Obtaining information on a social network service related to the first user as at least one personal information of the first user and / or food information of the first user;
A food information support apparatus characterized by the above. In the meal information support device according to any one of claims 1 to 6,
The storage unit
Further storing an SNS related information control master table including an SNS related information control rule, which is a rule for changing food information based on SNS related information, associated with each of the SNS related information,
The acquisition unit
Further acquiring information on a social network service related to the first user;
The extraction unit is
From the acquired information on the social network service, an image, text, or position information related to food, drink or restaurant is extracted as SNS related information, and the SNS related information control is performed based on the extracted SNS related information. Referring to the master table, further extract SNS related information control rules corresponding to the first user,
The generator is
Further, based on the extracted SNS related information control rules, the customized food information of the first user is generated, and customized food information is generated.
A food information support apparatus characterized by the above.   A food information support program that causes an arithmetic processing device to function as the food information support device according to any one of claims 1 to 8.   A computer-readable storage medium storing the food information support program according to claim 9. A food information support method using a computer having a processor,
Obtaining food information of a first user including at least one menu and at least one personal information of the first user;
Storing a food information control master table including a food information control rule that is a rule for changing food information including at least one menu associated with each of the plurality of personal information;
Extracting the food information control rule corresponding to the first user with reference to the food information control master table based on the acquired at least one personal information of the first user;
Based on the extracted food information control rule, generating customized food information in which the first user's food information is customized;
The food information support method which makes the said processor perform.

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