JP2005215803A - Nutrient intake support system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system for supporting a user of a fitness gym to take proper meals to a training performed in the fitness gym. <P>SOLUTION: A server is provided within the fitness gym. The constitutional information of the user and various pieces of information for deriving necessary nutrients from a training result are retained in the server. Information for the training result performed by the user is automatically transmitted from training equipment to the server. The user can acquire information for proper nutrients to the training result by use of a nutrient determination program. Further, the user acquires information for restaurants which provide proper meals by use of a meal menu retrieval program based on the acquired information to make a reservation. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a meal support system, for example, a technique for automatically presenting an appropriate meal menu, and more particularly to a meal menu providing system for providing a meal menu based on exercise in a training gym.

  The number of users who use exercise facilities such as training gyms is increasing with the general lack of exercise and health-oriented improvement accompanying mechanization of transportation means and manufacturing means. For example, a technique described in Patent Document 1 is known as a technique for connecting a training device and a server via a network to support user health management. According to the technique described in Patent Document 1, the load of the training device is automatically set based on the information of the user stored on the server, so that the user can use the appropriate information without detailed knowledge of exercise physiology. Training can be performed based on the load.

JP 2002-263213 A

  The technique described in Patent Document 1 is intended to send data from a server to a training device and allow a user to perform appropriate training, and there is no description regarding aftercare after training or the like. However, in practice, simply performing training is not sufficient in terms of health management.

  An object of the present invention is to provide nutritional support so that the effects of training performed by a user can be fully exhibited.

  According to one aspect of the present invention, there is provided a nutrient intake support system using a computer, which includes a user information table storing user information, a training result table storing user training results, Nutrient information that is information regarding whether to be distributed and consumed, and further, nutrient determination means for determining the amount of nutrients to be consumed based on the user information, the training results, and the nutrient information. A characteristic nutrient intake support system is provided.

  According to the above system, a user who has performed training can obtain necessary nutrient information in consideration of the amount of exercise, the purpose of exercise, the constitution, and the like without requiring deep knowledge about nutrients.

  Further, by continuously performing the above processing, a database that identifies the user and a general-purpose database that does not identify the user can be created. By using these databases, it is possible to perform an accurate menu search that is more realistic.

  According to the present invention, when a user exercises, nutrient information suitable for exercise or meal information including nutrients can be automatically presented to the user.

  Nutrition changes from day to day, and the numerical values and numerical calculation methods shown in this specification are examples. Moreover, although the means corresponding to the change of nutrition are shown, this is also an illustration. Further, although the XML language standardized by the W3C is used for the data, the use of the XML language is not an essential requirement, and may be described by a general table.

  The effect of training can only be demonstrated by proper nutrition. In addition, proper exercise after meals is important for maintaining health. However, the general public is not familiar with exercise physiology or nutrition and does not have sufficient knowledge about the relationship between exercise and diet. The meal support system according to the present invention breaks down to the level of nutrients for exercise and meal, and associates them with the level of nutrients, so that a general person who is not familiar with nutrition studies can provide appropriate meal support or exercise support. It relates to a system that can be received.

  Hereinafter, the meal support system according to the embodiment of the present invention will be described taking as an example the relationship with exercise in a fitness gym. FIG. 1 is a block diagram illustrating a configuration example of a meal support system according to the present embodiment. As shown in FIG. 1, the meal support system according to the present embodiment includes various training devices (for example, a cycling machine, a room runner, etc.) 4 installed in a fitness gym and a database that stores various types of information described later. 2 and a processing unit 3 that performs processing based on various information and is processed by a program, a server 1 that holds the database 2 and the processing unit 3, and a client terminal for accessing various types of information from a user 5, a restaurant 7 that provides an appropriate meal to the client terminal 5, and a network 6 that connects the restaurant 7 and the server 1. In FIG. 1, the server 1 and the client 5 are separated from each other. However, a stand-alone configuration in which the function of the client 5 is provided in the server 1 may be used. Further, the client terminal 5 may be directly connected to the network 6 and have a configuration capable of accessing the server 1 via the network 6.

  The fitness gym user trains with the training device 4 and accesses the server 1 from the client terminal 5 at the end of the training. The information obtained by the processing unit 3 is ingested by the specific user who performed the training. It is possible to search for a restaurant 7 that can prepare a nutrient that requires food or a meal menu that includes the nutrient. If it is decided to eat at the searched restaurant 7, a reservation can be made to the restaurant 7 via the network 6.

  FIG. 2 is a block diagram illustrating a configuration example of the server 1, a relationship between the server 1 and the training device 4, and a relationship between the processing unit 3 and the client terminal 5. As shown in FIG. 2, in the database 2, a user information table 8 in which user information including constitution information on a user's constitution is tabulated, a training result table 9 in which training results are tabulated, and nutrients Is a calorie distribution table 10 in which the calorie distribution is tabulated, an item-specific nutrient table 11 in which information on the nutrients by item is tabled, a conditional nutrient table 12, and the compatibility of the nutrients in the table Seven tables of the nutrient compatibility table 13 and the menu table 14 using the menu information of meals as a table are stored. Roughly speaking, the significance of the table is increasing from training (exercise) to nutrients and from nutrients to specific meals in order of increasing number.

  As shown in FIG. 2, a program for performing processing in the processing unit 3 includes a nutrient determination program (necessary nutrient search unit) 15 that performs nutrient determination, and a menu search program (meal menu search unit) that searches for a meal menu. 16 and two. Data is sent from the training device 4 to the server 1 based on the format of the training information table 17, and the client 5 and the server 1 that create the training result table 9 based on this are searched with the determination result table 18 as the data format. Exchange is performed using the result table 19 format. As described above, the training result table 9 and the search result table 19 by the processing performed in the processing unit 3 based on the user information and the nutrient information can be provided to the client 5. This provision itself can be an additional or essential service. Hereinafter, each of the above-described tables will be specifically described.

  FIG. 3 is a diagram illustrating a configuration example of the user information table 8 of the user. In the case of the user information table 8 shown in FIG. 3, it is described in the XML format (a format surrounded by tags). As described above, it may be described in another format. Specifically, as the upper hierarchy of users and the lower hierarchy, the user's personal number, the user's age, the user's gender, the user's height and weight, and the correction related to calorie correction. In addition to calories based on the basal metabolism, the user may indicate calories consumed in daily life, and may further describe constitution information such as information on foods that the user does not want or should not consume. For example, if the user is allergic to a specific food, the <allergy> tag indicates the name of the food that the user is allergic to.

  However, other items can be arbitrarily added. As an optional item, for example, when information on body fat percentage is necessary to more accurately measure the user's basal metabolic rate, or to consider nutrients destroyed by smoking in the user's daily life When information on smoking habits is necessary, it is described as an optional item as shown in FIG.

  The calorie correction value is set to an average value from the characteristics of the user's sex, age, occupation, etc., in addition to the method of calculating the daily life of the user by counseling by a fitness gym instructor. There is also a method. In addition, when the user is training for the purpose of dieting, it is preferable to perform calorie correction in a direction that reduces the calories to be consumed. Also, the physical condition of the user can be investigated before and after the start of training, and for example, if the internal organs are not in good condition, the correction value can be adjusted to reduce calories.

  FIG. 4 is a diagram illustrating a configuration example of the training information table 17. As shown in FIG. 4, the information in the training information table 17 is also described in XML format. The outer frame is surrounded by <training result> tags as upper layers, and the lower items are personal numbers, training item names, , Calories burned, and the expected effect of training (purpose of training), for example, fat burning system endurance training, carbohydrate combustion system endurance training, and any other additional items Including.

  In addition, when training with a user's health problem is performed, a message can be enclosed in <caution> tags as necessary. <Caution> The item described in the tag is not related to the determination of nutrients, but the described content is notified to the user as it is. As an optional item, there is a method in which a detailed nutrient determination can be performed by specifying a condition name in a conditional nutrient table 12 described later.

  FIG. 5 is a diagram showing a management method related to user training information shown in FIG. 4 in the database server 1. First, a directory serving as a base point is provided, and a directory having a directory name indicating the date in the “YYYYMMDD” format is provided below the directory. A file for each user's personal number is created in the lower layer, and each time the training information table 17 is sent from the training device, information of <training result> is added to this file. Information that summarizes the training period of the user, for example, one day, is the training result table 9. In the training result table 9, necessary items are described as a training result among “item”, “calorie consumption”, “purpose”, “addition”, “type”, “notes”, and the like. Is done. “Purpose” includes items such as fat for increasing endurance and carbohydrates for increasing endurance. “Caution” includes general cautions such as taking rest after strenuous exercise and not hydrating.

  In addition, you may describe the feeding content shown in FIG. Moreover, since calorie consumption has individual differences even in the same exercise, it can be brought closer to a more accurate value by appropriately correcting individual differences. In addition, the directory with the old date that is sequentially accumulated should ensure the remaining storage capacity in the database 1 by periodically transferring the data to another recording medium and deleting it from the database 1. preferable.

  FIG. 6 is a diagram illustrating an example of the contents of the determination result table 18. The determination result table 18 shown in FIG. 6 is created by the processing of the nutrient determination program 15 (FIG. 2). The menu search program 16 (FIG. 2) receives the determination result table 18 and searches for a suitable menu from the menu table 14 (FIG. 2). As shown in FIG. 6, the information of the determination result table 18 is described in the XML format. For example, for the result determination which is the upper item, the outer frame is surrounded by the <determination result> tag and the information surrounded by the <nutrition> tag A plurality of information and a plurality of information surrounded by <caution> tags and a plurality of information surrounded by <allergy> tags. The information enclosed in the <Nutrition> tag consists of the child information, the information surrounding the nutrient name in the <Name> tag, the information surrounding the amount in the <Quantity> tag, and the numerical value described in the quantity in the <Unit> tag. And information surrounding the unit. The information enclosed in the <allergy> tag is the same as the allergy information in the user information table 8 (FIG. 3) of the user.

  In FIG. 6, 750 calories are distributed, for example, to 40 g of protein and other nutrients, and it is recommended to eat 6 mg of iron. In addition, allergy information and precautions are described.

  As described above, the determination result table 18 in FIG. 6 is a table output from the nutrient determination program 15 (the flow is shown in FIG. 11) based on the training result table 9 (FIG. 5). The nutrient determination program 15 performs processing in addition to calorie distribution. In this embodiment, for example, the iron content displayed in FIG. 6 is output by item-specific correction (step 26 in FIG. 11, details are shown in FIG. 14). Is done. Also, the calorie distribution table 10 in FIG. 7 is used in the process of creating the determination result table 18 in FIG. 6 (step 25 in FIG. 11 and FIG. 13 for details).

  FIG. 7 is a diagram showing a display example of the calorie distribution table 10 showing information on how to distribute calories necessary for the user. As shown in FIG. 7, the calorie distribution table 10 is used to determine at what ratio the three major nutrients related to calories, mainly protein, carbohydrate, and fat, are consumed. The calorie distribution table 10 is described in the XML format, and a plurality of pieces of information surrounded by <calorie distribution> tags are described. The <calorie allocation> tag has four pieces of information enclosed by a <purpose> tag, a <protein> tag, a <carbohydrate> tag, and a <fat> tag. The information enclosed in the <purpose> tag is a headline, and it is possible to determine what table information this application uses based on the information enclosed in the <purpose> tag. The information enclosed in the <protein> tag, <carbohydrate> tag, and <fat> tag indicates the percentage of the calorie consumed from each nutrient. FIG. 7 also shows an example of a distribution when there is no designation of a purpose, a distribution for each purpose, and a distribution separately customized for individuals. In the example shown in FIG. 7, the standard distribution is shown as the distribution when there is no designation of the purpose, and it is generally shown that the distribution is performed at the ratio of 40% protein, 30% carbohydrate, and 30% fat. Has been.

  Next, in the column of allocation by purpose, as a first example, when the purpose is to increase muscle strength, it is preferable to allocate the ratio of 50% protein, 30% carbohydrate, and 20% fat. It is shown. As a second example, when endurance-fat increase is intended, it is shown that it is preferable to allocate 30% protein, 40% carbohydrate, and 30% fat. As a third example, for the purpose of endurance-sugar increase, it is indicated that 30% protein, 60% carbohydrate, and 10% fat are preferably allocated. Furthermore, an example is shown in which the ratio is 40% protein, 40% carbohydrate, and 20% fat as the ratio customized for personal use. Of these displays, the one close to the purpose can be selected and used. The calorie distribution table 18 is used in the process of creating the determination result table shown in FIG. 6 (the calorie step S25 (calorie distribution process) of FIG. 11 described later is shown in FIG. 13 in detail).

  The table input / output relationship is as follows. The user information (FIGS. 3 and 5) is input in FIG. 11, and the information described in FIGS. 7 to 10 is used in the processing of FIG. As a result of the processing in FIG. 11, a result determination 18 shown in FIG. 6 is finally output.

  FIG. 8 is a diagram illustrating a description example of the nutrient information table 11 for each item. This table 11 is used for presenting the user with nutrients that need to be replenished for the training performed by the user. As shown in FIG. 8, the item-specific nutrient information table 11 is described in the XML format and includes a plurality of pieces of information surrounded by <item> tags. This table 11 is used to acquire nutrients that are required according to the type of training performed by the user.

  The <item> tag has information surrounded by one <item name> tag and information surrounded by a plurality of <nutrient> tags. The <nutrient> tag has information surrounded by one <name> tag, information surrounded by one <quantity> tag, and information surrounded by one <unit> tag. The <quantity> tag has two pieces of information enclosed by an <absolute amount> tag and a <relative amount> tag. The information enclosed in the <event name> tag is a headline, and the application searches the information for an event name that matches the training performed by the user. The information enclosed in the <Absolute amount> tag represents the absolute amount of the nutrient. Information surrounded by <relative amount> tags represents information on nutrients required for 1 kg of the user's weight. If you do not specify the <absolute amount> and <relative amount> values, specify "-". “0” may be designated as the value of <absolute amount>.

  In FIG. 8, the absolute amount “0” is used in the sense that it is not necessary to be aware of the nutrients in detail, but it is better to keep ingestion. The information enclosed in the <unit> tag represents the unit of nutrient specified by <absolute amount> and <relative amount>. With the table shown in FIG. 8, it is possible to know the nutrients to be eaten corresponding to the training for each item performed by the user. The table shown above is a table for defining conditions relating to nutrients to be eaten, and is a condition table having some generality.

  On the other hand, the table described below is an individual condition table considering individual conditions. FIG. 9 is a diagram illustrating a description example of the conditional nutrient table 12. This table 12 is an element that cannot be derived directly from the user's constitution, lifestyle, and living environment, that is, the training results directly, and is used to promote consideration regarding intake of nutrients such as vitamin C, for example. Alternatively, the determination regarding nutrients can be used to customize in more detail. As shown in FIG. 9, the conditional nutrient table 12 is described in the XML format, and has a plurality of pieces of information surrounded by <condition> tags. The <condition> tag has information surrounded by one <condition> tag and information surrounded by a plurality of <nutrient> tags. The description method of the <nutrient> tag is the same as in the case of the above-described item-specific nutrient information table 11. For example, when there is a smoking habit as a condition, vitamin C is necessary as a nutrient, and the required amount is exemplified as 50 mg. These nutrients generally indicate a plurality of nutrients.

  FIG. 10 is a description example of the nutrient compatibility table 13. This table 13 is a table used when it is necessary to change the amount of intake depending on the combination of nutrients. As shown in FIG. 10, the nutrient compatibility table 13 is described in the XML format, and possesses a plurality of pieces of information surrounded by <compatibility correction> tags. The <compatibility correction> tag has information surrounded by one <target nutrient> tag and information surrounded by a plurality of <corrected nutrient> tags. The information surrounded by the <corrected nutrient> tag includes information surrounded by one <name> tag and information surrounded by one <correction amount>. The information enclosed in the <target nutrient> tag represents a nutrient that affects other nutrients. The information enclosed in the <name> tag represents the nutrients affected. The information enclosed in the <Correction Amount> tag indicates the ratio for correcting the amount of the affected nutrient. For example, when it is described as 1.5, it means that the amount of the affected nutrient may be multiplied by 1.5. In addition, when describing the nutrient compatibility table 13, it is necessary to pay attention to duplication. For example, if the information for correcting the value of the nutrient B from the nutrient A and the information for correcting the nutrient A from the nutrient B overlap, accurate correction cannot be made. With each of the above tables, necessary nutrients can be accurately derived.

  Next, a processing program for performing processing based on the information in each table will be described. FIG. 11 is a flowchart showing the flow of processing executed by the processing unit by the nutrient determination program 15. A description will be given with reference to FIGS. As shown in FIG. 11, when the process is started, first, an attempt is made to acquire the personal number of the user (step 21: FIG. 3), and it is determined whether or not the personal number has been acquired in step 22 (step 22). ). If the personal number cannot be obtained, it is determined that the user is not a member, and the process ends. If the personal number can be acquired, the process proceeds to step 23, where the user information table 8 and the training result table 9 are acquired from the database 2 (step 23: FIGS. 3 and 4).

  Next, it asks for information about nutrients that users need in a day. The process for obtaining this information is roughly divided into a calorie calculation step (step 24: FIG. 6), a calorie distribution step (step 25: FIG. 7), an item-specific correction step (step 26: FIG. 8), and a constitution correction step (step). 27: FIG. 9) and compatibility adjustment step (step 28: FIG. 10). Through these steps, one meal can be adjusted in step 29. In step 30, it is determined whether or not there is caution information. If necessary, the caution information is output (step 31).

  FIG. 12 is a flowchart showing a flow of processing relating to calorie calculation. Here, the calorie which a user should ingest per day is calculated | required. First, the basal metabolism of the user is obtained. There are various methods for obtaining the basal metabolism. In the present embodiment, as an example, gender, height, weight, and age are acquired from the user information table 8 of the user (step 41), and FIG. Calculation is performed using the Harris-Benedict equation described in the lower column (step 42). In the Harris-Benedict equation, the basal metabolic rate for men and women is determined from different equations. Next, the calorie correction value of the user is acquired from the user information table 8, and the obtained basal metabolic rate is corrected (step 43). In step 44, all the training information performed on the day by the user is searched from the training result table 9, and the total calorie consumption is calculated (step 44), and the basal metabolism, the calorie correction value, and the calorie consumption of the training are totaled. The calorie for 1 day is calculated | required and a process is complete | finished.

  FIG. 13 is a flowchart showing a flow of processing for performing calorie distribution. Here, the ratio of protein, carbohydrate, and fat in the obtained calories is obtained. First, it is searched whether or not personal distribution information exists in the calorie distribution table 10 (step 51). When there is personal distribution information, the distribution information is adopted. If there is no personal distribution information, the purpose is determined from the training result table 9 performed by the user (step 52). As one of the determination methods, a method of extracting all <items> from the training result table 9 and adopting the purpose of training that consumed the most calories can be considered.

  However, depending on the type of training, there are those that consume less calories even when focused, so a determination method that multiplies the calorie consumption by a correction value according to the training device is desirable. Next, it is searched whether or not the purpose determined by searching the calorie distribution table 10 exists (step 53). If the purpose exists, the purpose is adopted, and if the purpose does not exist, the standard distribution value is adopted (step 54). When there is a purpose that matches the calorie distribution table or when the standard distribution is applied, the weight of the protein, carbohydrate, and fat is determined based on the calorie and the distribution information (step 55), and the process ends. Here, 1 g of protein and 1 g of carbohydrate are 4 kcal, and 1 g of fat is determined by weight (g number) using a value of 9 kcal.

  FIG. 14 is a flowchart showing the flow of the correction processing for each item, and is a diagram showing processing for adding nutrients according to each training performed by the user. First, an event is retrieved from the training result table 9 (step 61). If an event is retrieved, the process proceeds to step 63, where it is determined whether there is an event that matches the item-specific nutrient table. If there is an event, a reflection process is performed in step 64. In step 65, the next event is retrieved from the user training result table, and the process returns to step 62. If no event is found in step 62, the process is terminated. That is, the process of reflecting the information of the nutrient table 11 for each item (steps 63 and 64) is looped by the number of items in the training result table 9 (steps 62 and 65).

  FIG. 15 is a flowchart showing a flow of processing (step 64 in FIG. 14) for reflecting information in the nutrient table 11 for each item. As shown in FIG. 15, first, a nutrient is searched based on the target item in the item-specific nutrient table 11 (step 71). Since there is a possibility that a plurality of nutrients exist for one item, the following processing is looped while the nutrient is found (steps 72 and 81), and the processing is terminated when the nutrient is no longer found ( End). If a nutrient is found, it is first determined whether or not a relative amount is designated (step 73), and if it is designated, the amount is calculated by multiplying the relative amount and the body weight (step 78). If there is no relative amount, it is determined whether or not there is an absolute amount (step 74), and this absolute value is used as a quantity (step 79).

  Here, the reason why the relative amount is given priority is that the relative amount is a more appropriate value considering the user's constitution. If there is neither a relative amount nor an absolute amount, the amount is set to 0 (step 75). Next, the determination result table 18 is searched, and when the same nutrient information already exists, the amount on the determination result table 18 is compared with the calculated amount. If the calculated amount is larger, the determination result table 18 The quantity is updated to the obtained quantity (steps 76, 80, 77). If there is no same nutrient information in the determination result table 18, it is added to the determination result table 18 as new nutrient information (step 77). If the existing amount is larger than the determined amount, the process proceeds to step 81 to search for the next nutrient (step 81) and returns to step 72.

  The constitution correction (FIG. 11: step 27) is to adjust nutrients according to the constitution of the user. In the present embodiment, the constitution information is searched and allergy information held by the user is output to the determination result table 18. In addition to this, there is a method of setting <smoking habit> as an optional item of constitutional information in order to take into account nutrients destroyed by the user's smoking habits, and searching the conditional nutrient table 12 from the value.

  FIG. 16 is a flowchart showing the flow of the compatibility adjustment process. As shown in FIG. 16, it is a figure which shows the flow of the process which correct | amends quantity by paying attention to the combination of nutrients in the determination result table 18 (FIG. 6) calculated | required so far. First, a nutrient is searched from the determination result table 18 (step 91), and it is determined whether or not the nutrient is found (step 92). If no nutrient is found, the process is terminated, and the nutrient is found. In step 93, it is determined whether or not there is a target nutrient that matches the nutrient compatibility table 13. If there is a target nutrient that matches the nutrient compatibility table 13, a correction process is performed in step 94, and if there is no target nutrient, the correction process is not performed and both proceed to step 95. Is searched for, and the process returns to step 92. That is, the process of reflecting the information of the nutrient compatibility table 13 on the nutrients found by the search (steps 93 and 94) is processed by looping the number of nutrients in the determination result table 18 (steps 92 and 95).

  FIG. 17 is a flowchart showing a flow of information reflection processing of the nutrient compatibility table 13. As shown in FIG. 17, first, a corrected nutrient tag is searched from the target compatibility correction tags in the nutrient compatibility table 13 (step 101). Since there is a possibility that a plurality of correction nutrients exist for one target nutrient, the following processing loops until correction nutrients are found, and ends when the correction nutrients are not found (steps 102 to 106). ). If a corrected nutrient is found, a search is made as to whether or not the nutrient is present in the determination result table 18 (step 103). If there is a corrected nutrient, the amount in the determination result table 18 is calculated as the corrected nutrient in the nutrient compatibility table 13. Correction is performed according to the correction amount (steps 104 and 105).

  In FIG. 11, one serving adjustment (step 29) is processing for obtaining one serving of nutrients from the obtained one day worth of nutrients. In the present embodiment, an example is shown in which information for one serving is created by simply dividing by 3 for three times in the morning, noon and evening. When setting in more detail, information such as how many meals the user takes per day can be given in the user information table 8, and processing can be performed with reference to this information. There is also a method of presenting the user with all menus for one day instead of one meal. In that case, the user information table 8 describes information related to the time zone in which the user can spend most time on the meal. For example, if dinner time is long, there is a method of increasing the distribution of dinner. . The display of caution information (steps 30 and 31) is a process of detecting all <caution> tags and presenting them to the user. In the application, the message described in the <Caution> tag is set so that it cannot be processed independently.

  FIG. 18 is a diagram showing the determination result table 18 and a screen display example 120 when the contents are notified to the user. Notification to the user can also be performed by a method other than the screen display, for example, by delivering a printed matter. As shown in FIG. 18, in the screen display example 120, the calorie display 121 is performed, and then arranged in the nutrient list 122, and finally the caution information 124 is arranged. The user can start the menu search program 16 by operating the button 123. Since allergy information is information that the user understands by himself / herself, it may not be displayed here. For example, the user can display information on the screen of his / her PC when returning home. The process can be terminated by outputting and displaying the determination result table 18, but the process up to displaying the screen display 120 may be performed.

  Moreover, by writing calories and nutrients in FIG. 5, it can be reflected in the determination result table.

  FIG. 19 is a diagram illustrating a description example of the menu table 14. The menu table 14 is a database that can be used to search for an appropriate meal menu from the determination result table 18. In the example according to the present embodiment, the menu table 14 is stored in the database server, but can also be stored in a server on the Web. As shown in FIG. 19, the menu table 14 is described in the XML format, and has a plurality of pieces of information surrounded by <menu> tags. A <menu> tag is information enclosed in one <shop name> tag, information enclosed in one <URL> tag, information enclosed in one <menu name> tag, and one <calorie> > Information surrounded by tags, information surrounded by a plurality of <nutrient information> tags, and information surrounded by one <raw material> tag. The <nutrient information> tag has information surrounded by a plurality of <nutrient> tags. The information enclosed in the <nutrient> tag is the same as the determination result table 18. The <Raw Material> tag has information enclosed by multiple <Name> tags. The information enclosed in the <store name> tag represents the store name of the restaurant 7 (FIG. 1) providing the menu. The information enclosed in the <URL> tag represents the URL of a Web service or menu that allows reservation of a menu, or a Web page where detailed information on the restaurant 7 can be browsed. The information enclosed in the <menu name> tag represents the name of the menu. The information enclosed in the <calorie> tag represents the menu calories. <Nutrient information> Information enclosed in tags represents nutrients included in the menu. <Raw material> The information enclosed in the tag represents the material used in the menu. The information enclosed by the <name> tag in the <raw material> tag represents the name of the raw material.

  The description shown in FIG. 19 allows the user to obtain the details of the meal menu and the access method suitable for him / her. In FIG. 19, the store name is limited, but the store name may not be limited, and only the menu display may be performed.

  FIG. 20 is a diagram illustrating a description example of the search result table 19. The search result table 19 is a description example of search results returned by the application, and is described in the XML format. As shown in FIG. 20, the search result table 19 has a plurality of pieces of information surrounded by <menu> tags. A <menu> tag is information enclosed in one <store name> tag, information enclosed in one <URL> tag, information enclosed in one <menu name> tag, and one or more. Possesses information surrounded by <deficient nutrients>. The information enclosed by the <shop name> tag, <URL> tag, and <menu name> tag is the same as the menu table 14 (FIG. 19). The information enclosed in the <deficient nutrient> tag represents the name of the nutrient that is deficient with respect to the nutrient specified in the determination result table 18.

  Note that the <nutrient> column of the determination result table 18 (FIG. 6) and the <nutrient> column of the menu table 14 (FIG. 19) are collated, and <nutrient that exists in the determination result table 18 but does not exist in the menu table 14 Can be listed as <deficient nutrient>. The user can also make up for the shortage by referring to this.

  FIG. 21 is a flowchart showing the flow of processing based on the menu search program 16. The menu search program 16 is generally executed in the server 1, but each restaurant 7 may be executed as part of the Web service. Since there may be a plurality of menus in the menu table 14 (FIG. 2), the process is repeatedly executed until a menu is found, and the process ends when no new menu is searched. (Steps 111, 112, 118). If a menu is found, and if the raw materials of the menu include those specified as allergies in the determination result table 18, the menu is excluded and the next menu is searched (step 113). When allergic materials are not included (YES), the value specified for the calorie in the menu is compared with the value of the calorie specified in the determination result table 18, and the difference between the two exceeds the allowable range. If so, the menu is excluded and the next menu is searched (step 114). The allowable range is set such that the difference calorie value is n% or less (n is a positive integer) of the calorie specified in the determination result table 18.

  When the calorie is within the allowable range, the protein, carbohydrate, and fat values specified in the menu are compared with the protein, carbohydrate, and fat values specified in the determination result table 18 (FIG. 18). If the allowable range is exceeded, the menu is excluded and the next menu is searched (step 115). If the protein, carbohydrate, and fat values are within acceptable ranges, menu information is added to the search result table 18. As described above, in the present embodiment, non-conformity other than the nutrient determined in the above or determination of excess amount is not performed, and if it is insufficient, it is displayed as an insufficient nutrient (step 117). Also for the nutrients of, the tolerance can be set and the menu can be excluded from the search target if it is incompatible.

  Further, although the number of menus in the menu table 14 is looped, if there is a huge amount of menus in the menu table 14, the inspection is performed once when a specific number of menus are added to the search result table 19. It can also be separated.

  FIG. 22 is a diagram showing an example of the contents of the search result table 19 notified to the user. A search result screen 130 is displayed corresponding to the search result table 19. A store name 132 and a menu name 133 are displayed on the search result screen 130. Further, the user can access the URL of the search result table 19 by operating the detail display button 135, and can browse and reserve detailed information using a Web system provided by each restaurant. In the example shown in FIG. 22, only the name 134 is displayed as the deficient nutrient, but a method of calculating and displaying an accurate deficient amount is also conceivable. Another possible method is to provide a separate table for foods rich in nutrients and display them as supplements recommended to users. It is also possible to provide personalized meals.

  As described above, according to the meal support system according to the present embodiment, an example of a meal menu including appropriate nutrients can be automatically presented to the user for training performed by a user such as a fitness gym. One can eat a proper diet without knowing the details of nutrition.

  Next, a modification of the meal support system according to the embodiment of the present invention will be described with reference to FIG. The meal support system X according to this modification differs from the meal support system A shown in FIG. 1 in that there are gym-operated restaurants (1) to (3) directly connected to the server 1 in the fitness gym and LAN-connected. It is a point. This is convenient in that a meal having the contents supported by the meal support system according to the present embodiment can be taken as soon as the gym training is completed.

  Next, a system according to the second embodiment of the present invention will be described. The system according to the present embodiment has the same configuration as the system shown in FIG. 1 or FIG. However, as shown in FIG. 24 (flow chart), the user first eats at the restaurant 7 (step S151), takes an appropriate rest time (step S152), and then exercises at the training gym. (Step S153). At this time, nutrients are obtained for the meal, processing is performed based on necessary nutrients and user characteristics such as the user's constitution (step S154), and an appropriate exercise menu is presented (step S155). The system according to the present embodiment is configured from the viewpoint of presenting an appropriate exercise menu after a meal. However, in the point that exercise and meal are linked based on nutrients, the first embodiment is used. There is a relationship between the front and back of the meal support system.

  Next, a training device according to a third embodiment of the present invention will be described with reference to the drawings. As shown in FIG. 25, the training apparatus according to the present embodiment includes an IC card slot (or reader / writer) 163 for inserting an IC card 161 that also functions as a user ID function that stores user information, and FIG. The configuration includes a memory 165 having a server function, a processing unit 167 that performs processing, and a ROM 168 that stores a program for causing the processing unit 167 to execute actual processing. Thereby, even when the communication function for connecting to the server is not separately provided, the necessary nutrients based on the user information acquired from the IC card and the training content are the same functions as the processing unit according to the first embodiment. There is an advantage that it can be obtained by giving.

  The example of the present invention has been described above. However, the present invention is not limited to the above-described example, and various modifications can be made within the scope of the invention described in the claims. Will be understood.

  For example, a menu candidate may be displayed when training is completed, and an interface may be provided that allows the user to select a menu desired by the user from among the menu candidates. At this time, if the determination result table 18 shown in FIG. 6 can be printed out, the deficient nutrients can be supplemented by supplements other than meals when there are deficient nutrients.

  In addition, exercise and meal can be considered as one set, and an appropriate exercise menu can be presented after meal, and an appropriate meal menu can be presented after exercise, and the exercise menu and meal can be continuously used in the future based on past accumulated information. It is also possible to provide menus.

It is a block diagram which shows the structural example of the meal assistance system by the 1st Embodiment of this invention. It is a block diagram which shows the structural example of a server. It is a figure which shows the structural example of a user's constitution information. It is a figure which shows the structural example of the data sent to a server from a training apparatus. It is a figure which shows the structural example of the table holding a training result, and the structural example of the training result table in a database server. It is a figure which shows the structural example of the table holding the determination result of a nutrient. It is a figure which shows the structural example of the table holding the distribution information of a calorie. It is a figure which shows the structural example of the table holding the information of the nutrient required for each item. It is a figure which shows the structural example of the table holding the information of the nutrient required by conditions. It is a figure which shows the structural example of the table holding the compatibility information between nutrients. It is a flowchart figure which shows the flow of the process which derives the determination result of a required nutrient from a training result. It is a flowchart figure which shows the flow of the process which derives a calorie from a training result. It is a flowchart figure which shows the flow of the process which derives a calorie distribution from a training result. It is a flowchart figure which shows the flow of the process which derives the nutrient depending on an event from a training result. It is a flowchart figure which shows the detail of the flow of a part of process in the flowchart figure shown in FIG. It is a flowchart figure which shows the flow of the process which determines the compatibility of nutrients and adjusts the quantity of a nutrient. It is a flowchart figure which shows the flow of the partial process in the flowchart figure shown in FIG. It is a display example which shows the determination result of a nutrient. It is a figure which shows the structural example of the table holding the menu information of a meal. It is a figure which shows the structural example of the table holding the search result of a meal menu. It is a flowchart figure which shows the flow of the process which searches a meal menu from the determination result of a nutrient. It is a display example which shows a meal menu search result. It is a figure which shows the structural example of the meal assistance system by the modification of the meal assistance system by embodiment of this invention. It is a figure which shows the flow of a process in the meal assistance system by the 2nd Embodiment of this invention. It is a block diagram which shows the structural example of the training apparatus by the 3rd Embodiment of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Server, 2 ... Database, 3 ... Processing program, 4 ... Training equipment, 5 Client, 6 ... Network, 7 ... Restaurant, 8 ... User information Table (including constitution information), 9 ... training result table, 10 ... calorie distribution table, 11 ... species nutrient table, 12 ... conditional nutrient table, 13 ... nutrient compatibility table, 14 ... Menu table, 15 ... Nutrient determination program, 16 ... Menu search program, 17 ... Training information table, 18 ... Determination result table, 19 ... Search result table, 120 ... -Nutrient determination result display screen, 130 ... Menu search result display screen.

Claims (12)

A nutrient intake support system using a computer,
A user information table storing user information; and
A training result table storing user training results,
Have nutrient information, which is information on how to distribute and consume nutrients,
Furthermore, a nutrient intake support system comprising: a nutrient determination unit that obtains an amount of a nutrient to be consumed based on the user information, the training result, and the nutrient information. The user information table includes user physical information,
The training result table includes the calorie consumption of the user,
The nutrient information includes a calorie distribution table in which a calorie distribution indicating how to distribute calories to a plurality of nutrients to be taken is recorded,
The nutrient determination means calculates the calorie amount to be taken from the user's physical information and the user's calorie consumption,
2. The nutrient intake support system according to claim 1, wherein an amount of a nutrient to be ingested is obtained using the calorie amount to be ingested and the calorie distribution table.   The nutrient intake support system according to claim 2, wherein the calorie distribution specialized for each purpose is recorded in the calorie distribution table.   The nutrient intake support system according to any one of claims 2 to 3, wherein a calorie distribution specialized for each user is recorded in the calorie distribution table. The training result table includes training event information regarding training events,
The nutrient information includes an item-specific nutrient table in which nutrients desired to be taken for each training item are recorded.
5. The nutrient intake support system according to claim 1, wherein the nutrient determination unit obtains an amount of a nutrient to be consumed based on the training item information and the item-specific nutrient table. The user information table includes individual conditions related to the constitution and living environment of the user affecting nutrition intake,
The nutrient information includes a conditional nutrient table in which nutrients desired to be consumed with respect to the individual conditions are recorded,
The nutrient intake support system according to any one of claims 1 to 5, wherein the nutrient determination unit obtains an amount of a nutrient to be consumed based on the individual condition and the conditional table. The nutrient information includes a nutrient compatibility table that records the nutrients that need to be ingested for each nutrient that needs to be ingested by other nutrients,
The nutrient intake support system according to any one of claims 1 to 6, wherein the nutrient determination unit obtains an amount of a nutrient to be consumed based on a nutrient compatibility table. The nutrient intake support system includes a menu table that stores a menu of food and drink including information on contained nutrients,
8. The apparatus according to claim 1, further comprising menu search means for searching for a food or drink that a user preferably takes from the menu table based on information on a nutrient to be ingested obtained by the nutrient determination means. The nutrient intake support system according to any one of the above. 9. The nutrient intake according to claim 8, wherein the menu search means uses a search result that includes a calorie amount within a prescribed allowable range with respect to the calorie amount to be ingested obtained by the nutrient determination means. Support system. 9. The menu search unit according to claim 8, wherein the menu search unit uses, as a search result, food and drink containing an amount of nutrients within a prescribed allowable range with respect to the amount of the nutrient to be ingested obtained by the nutrient determination unit. 9. The nutrient intake support system according to any one of 9 above. The user information table includes contraindicated material information that is information on incompatible materials that the user does not want to take and / or should not be taken by the user,
The menu table includes food and beverage material information,
The said menu search means excludes the dish containing the said contraindicated material from the object of a search based on the said contraindicated material information and the material information of the said food / beverage. The nutrient intake support system described. The menu search means includes the amount of nutrients to be ingested determined by the nutrient determination means,
12. The nutrient to be ingested that is insufficient by ingesting only the food and drink of the search result is obtained from the nutrient amount in the food and drink of the search result described in the menu table. The nutrient intake support system according to claim 1.

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