JP6295072B2 - Food intake situation analysis system, food intake situation analysis method - Google Patents

Description

  The present invention relates to a food intake status analysis system and a food intake status analysis method for analyzing food intake status.

  Conventionally, there are various techniques for managing personal meals. For example, in Patent Document 1, the eating behavior detection / analysis unit analyzes the image of the meal content captured by the user, and the eating behavior appropriateness determination unit, based on the eating behavior content such as intake calories from the analyzed image, A technique is disclosed in which it is determined whether or not a user's eating behavior is appropriate, and when it is determined to be inappropriate, a signal for suppressing the eating behavior is generated and presented to the user.

JP 2011-107768 A

  In patent document 1, an individual's eating behavior can be improved by analyzing a meal content and determining whether each individual's eating behavior is appropriate. However, the technique described in Patent Document 1 focuses only on an individual's eating behavior and focuses on how to improve the individual's eating habits. It is not intended to be managed and analyzed. Therefore, for example, when food poisoning occurs in multiple individuals, it takes a lot of investigation time by interviewing each individual who has developed food poisoning and confirming which food caused food poisoning. I had to investigate the cause. Moreover, since such management and analysis are not performed, there existed a problem that the foodstuff condition of the food currently eaten in the market could not be grasped in real time, for example.

  The present invention has been made in view of the above, and an object of the present invention is to provide a food intake situation analysis system and a food intake situation analysis method capable of managing and analyzing food intake situations across the board. To do.

  In order to solve the above-described problems and achieve the object, a food intake situation analysis system according to the present invention is a food intake situation analysis system that analyzes food ingested by a plurality of users. The terminal generates ingestion data in which an imaging unit that captures an image of food ingested by a user, the image of food, an ingestion item indicating the item of food, and an intake date and time of the food A control unit; a terminal communication unit that transmits the generated intake data to the server; and the server stores an ingredient table that stores an ingredient component included in the ingested item, and intake data received from each of the portable terminals. A meal table, an analysis table storing intake data of an analysis target period among intake data stored in the meal table, and the user ingested at the intake date and time A storage unit for storing a food ingredient component and its constituent probability in association with each other, and a storage unit for storing a food ingredient component commonly ingested by each user and a common intake table for storing the constituent probability in association with each other; A server communication unit for storing each of the intake data received from the terminal communication unit in the meal table, and extracting intake data of the analysis target period from the meal table, storing the extracted intake data in the analysis table, and storing The ingestion table is generated based on the analysis table and the food table, and the composition probability of the food ingredient common to the food ingested by each user in the analysis target period is calculated from the ingestion table of each of the generated users And a component analysis unit stored in the common intake table, the common ingredient component stored in the common intake table, and The configuration probabilities configured as food intake situation analysis system comprising: the display control unit, the each of the users displayed on the display unit an image of ingested food ingested in the analysis period.

  Moreover, this invention is grasped | ascertained also as the food intake condition analysis method performed with the said food intake condition analysis system.

  According to the present invention, it is possible to manage and analyze food intake status across the board.

It is a figure which shows the structural example of the food intake condition analysis system in this Embodiment. It is a flowchart which shows the process sequence of an ingestion data registration process. It is a figure which shows the structural example of an intake table. It is a figure which shows the structural example of a member table. It is a figure which shows the structural example of a meal table. It is a figure which shows the example of the pull-down menu of an intake classification, an intake item, and an intake place. It is a figure which shows a mode that it registered into the meal table by the intake data registration process shown in FIG. It is a flowchart which shows the process sequence of an analysis object extraction process. It is a figure which shows the structural example of an object table. It is a flowchart which shows the process sequence of a data extraction process. It is a figure which shows the structural example of a meal table (multiple member). It is a figure which shows the structural example of an analysis table. It is a flowchart which shows the process sequence of a common foodstuff extraction process. It is a flowchart which shows the process sequence of a member intake table preparation process. It is a figure which shows the structural example of a foodstuff table. It is a flowchart which shows the process sequence of an ingestion content recording process. It is a figure which shows the structural example of an intake table. It is a flowchart which shows the process sequence of a common intake table preparation process. It is a figure which shows the structural example of a common intake table. It is a flowchart which shows the process sequence of a screen display process. It is a figure which shows the structural example of the analysis result screen displayed on a display screen. It is a figure which shows the example of a display of the information regarding a member, and the information regarding a medical condition with an analysis result.

  Exemplary embodiments of a food intake situation analysis system and a food intake situation analysis method according to the present invention will be described below in detail with reference to the accompanying drawings.

  FIG. 1 is a diagram illustrating a configuration example of a food intake situation analysis system 1000 according to the present embodiment. As shown in FIG. 1, the food intake situation analysis system 1000 includes a plurality of user terminals 100 and an analysis server 200. The user terminal 100 and the analysis server 200 are connected by wireless communication via a network N that is a general communication network.

  The user terminal 100 is a general mobile terminal such as a mobile phone or a smartphone, and includes an imaging unit 101, an input display unit 102, a control unit 103, a communication unit 104, and a storage unit 105. ing. In the following description, it is assumed that the user terminal 100 is a mobile terminal. However, the user terminal 100 may be a fixed terminal such as a general desktop PC (Personal Computer) in a company or home. Although specific description is omitted below, each function of the user terminal 100 actually executes, for example, a program stored in a ROM (Read Only Memory) by a CPU (Central Processing Unit). It is realized by doing.

  The imaging unit 101 is a general camera mounted on a mobile terminal, and captures the contents of a meal (for example, rice, side dishes, etc.) by a user operation. The input display unit 102 is a general touch panel mounted on a portable terminal, and accepts a touch operation (for example, an imaging operation, an input operation of various information such as a user ID and a password) from a user, or by a touch operation. Display the processed result.

  The control unit 103 controls the operation of each unit of the mobile terminal 100 and performs processing on various types of input information. The communication unit 104 transmits various types of information input from the input display unit 102 and various types of information processed by the control unit 103 to the analysis server 200 via the network N. The storage unit 105 is a general storage device or storage medium, and stores an intake table 1051 indicating the content of meals that the user has ingested. A configuration example of the intake table 1051 will be described later using a flowchart.

  The analysis server 200 is a general server device such as a PC server or a blade server, and includes a communication unit 201, a storage unit 202, a user confirmation unit 203, a component analysis unit 204, a display control unit 205, and a display unit. 206. The analysis server 200 is installed in various institutions, facilities, and companies that analyze food intake conditions such as local governments and health centers. In this embodiment, the description is given on the assumption that the analysis server 200 includes the display unit 206. However, a display device may be provided separately from the analysis server 200. Although specific description is omitted below, each function of the analysis server 200 is actually realized by, for example, the CPU executing a program stored in the ROM.

  The communication unit 201 receives various information transmitted from the mobile terminal 100. The storage unit 202 is a general storage device or medium, and includes a member table 2021, a meal table 2022, a food table 2023, an analysis table 2024, and a common intake table 2025, as shown in FIG. ing.

  The member table 2021 is a table in which users of this system are registered. The meal table 2022 is a table that stores information indicating the contents of meals ingested for each member in a time series as a history. The food table 2023 is a table that stores information related to food that constitutes a meal. The analysis table 2024 is a table obtained by extracting information indicating the contents of meals ingested during a certain period by the member to be analyzed from the meal table 2022. The common intake table 2025 is a table that stores information indicating the contents of foods that are commonly consumed by members. A configuration example of each of these tables will be described later using a flowchart.

  The user confirmation unit 203 authenticates the user of this system using the mobile terminal 100 and stores the information recorded in the intake table 1051 in the analysis server 200. Specific processing performed by the user confirmation unit 203 will be described later with reference to a flowchart.

  The component analysis unit 204 analyzes the ingredients from the contents of the meals consumed by the user and analyzes the composition of the ingredients commonly consumed by the members. Specific processing performed by the component analysis unit 204 will be described later using a flowchart.

  The display control unit 205 displays the analysis result by the component analysis unit 204 on the display unit 206. Specific processing performed by the display control unit 205 will be described later using a flowchart.

  FIG. 2 is a flowchart showing a processing procedure of processing (ingestion data registration processing) until information indicating the content of the meal ingested by the user is stored in the analysis server 200. As shown in FIG. 2, first, in the mobile terminal 100, the imaging unit 101 captures an image of a meal (ingestion) by an operation from the user (step S201), and the input display unit 102 receives an ingested item from the user, The input of the intake date and time and the intake location is accepted (steps S202 to S204). Each piece of information input in this way is stored in the intake table 1051 by the control unit 103.

  FIG. 3 is a diagram illustrating a configuration example of the intake table 1051. As shown in FIG. 3, the intake table 1051 includes a date and time when the user took a meal, a place where the user took the meal, an intake photograph showing the content of the meal, and an intake category showing the timing of the taken meal. And the ingested item in the meal at that time are stored in association with each other. In FIG. 3, for example, a user is in Tokyo on January 1st, 2013 at 8:00 A.1. It shows that the katsudon pictured in jpg was taken as breakfast.

  The input display unit 102 of the portable terminal 100 further accepts input of the user ID and password of the user, and the communication unit 104 transmits these pieces of information to the analysis server 200 (step S205).

  The analysis server 200 stands by in a state where the above-described various information can be received from the mobile terminal 100 (step S206). When the user ID and password are received from the mobile terminal 100, the user confirmation unit 203 receives the information. In order to confirm that the user belongs, the user is authenticated against the member table 2021 (step S207).

  FIG. 4 is a diagram illustrating a configuration example of the member table 2021. As shown in FIG. 4, the member table 2021 stores a member number of a user, a user ID and password, a date of birth, a gender, and a residential area in association with each other. In FIG. 4, for example, the user ID and password of member A are ID1 and Pass1, respectively, indicating that the date of birth is a man who lives in Ibaraki Prefecture on January 23, 1980. These pieces of information are stored in advance in the member table 2021 before the user uses this system.

  When the user confirmation unit 203 determines that the user ID and password received from the mobile terminal 100 match the user ID and password stored in the member table 2021 and authenticates the user, the communication unit 104 displays the ingestion table 1051. The stored information is transmitted to the analysis server (step S208), and the processing on the portable terminal 100 side ends.

  When the communication unit 201 of the analysis server 200 receives the information stored in the intake table 1051 transmitted from the mobile terminal 100 (step S209), the communication unit 201 stores the information in the meal table 2022 (step S210). When the process of step S210 is finished, the intake data registration process shown in FIG. 2 is finished.

  FIG. 5 is a diagram illustrating a configuration example of the meal table 2022. As shown in FIG. 5, the meal table 2022 is an ingestion photograph showing the member NO and the intake table 1051, the date and time when the member ingested the meal, the ingestion location, and the content of the meal. And an intake category indicating the timing of the ingested meal and an ingested item in the meal at that time are stored in association with each other. Since the contents of each item of the meal table 2022 are the same as those of the intake table 1051 shown in FIG. 3, the description thereof is omitted here.

  In addition, in order to improve the user's operability, the input display unit 101 selects items selected from the pull-down menu, for example, in order to improve the user's operability. It may be accepted. FIG. 6 is a diagram illustrating an example of pull-down menus of intake categories, intake items, and intake locations. In FIG. 6, for example, menus such as breakfast, lunch, and dinner are displayed as the intake categories, and the user can select one intake category from these menus. Similarly, for ingested items, menus such as grilled fish, ham eggs, and cutlet bowls are displayed, and the user can select one ingested item from these menus, and for ingestion locations in Hokkaido, Aomori, etc. You can select one prefecture from the menu. In the following, the ingestion location is set for each prefecture, but a city may be set if a more detailed region is desired.

  FIG. 7 is a diagram showing a state in which the analysis server 200 receives the intake table 1051 from the mobile terminals 100 of various members and the information is registered in the meal table 2022 by the intake data registration process shown in FIG. is there. As shown in FIG. 7, an intake table 1051 received from a plurality of members or one member at an arbitrary timing is stored in the meal table 2022. Next, the analysis target extraction process in the component analysis process performed by the component analysis unit 204 of the analysis server 200 will be described. The analysis target extraction process is a process for extracting data to be analyzed in this system.

  FIG. 8 is a flowchart showing the processing procedure of the analysis target extraction process. As shown in FIG. 8, in the analysis target extraction process, the member NO of a member to be analyzed for ingested food and a period for extracting data to be analyzed from the registered members (analysis target) Period) is received from an input device (not shown) of the analysis server 200, the component analysis unit 204 stores these pieces of information in a temporary target table 8001 that stores users to be processed (steps). S801, S802).

  FIG. 9 is a diagram illustrating a configuration example of the target table 8001. As shown in FIG. 9, the target table 8001 stores a member NO (analysis member NO) to be analyzed and an analysis target period (analysis target start date and analysis target end date) in association with each other. ing. In FIG. 9, for example, the data stored in the intake table 1051 (ie, the meal table 2022) from January 1, 2013 to January 3, 2013 is extracted as an analysis target for the member of member NO “A”. Which indicates that.

  The component analysis unit 204 performs an analysis target data extraction process for extracting analysis target data from the meal table 2022 using the analysis member NO and the analysis target period stored in the target table 8001 as keys (step S803). The data extraction process will be described later with reference to FIG.

  The component analysis unit 204 then determines whether or not a member to be analyzed is stored in the target table 8001 (step S804), and further determines that a member to be analyzed is stored in the target table 8001. If so (step S804; Yes), the process returns to step S801 and the subsequent processing is repeated. On the other hand, if it is determined that the member to be analyzed is not stored in the target table 8001 (step S804; No), the analysis target extraction process is terminated. In this way, the analysis target extraction process is performed for all members stored in the target table 8001.

  FIG. 10 is a flowchart showing a processing procedure of data extraction processing. As illustrated in FIG. 10, the component analysis unit 204 refers to the target table 8001, reads the analysis member NO and the analysis target period, extracts a record in which the analysis member NO matches the analysis target period, and stores the record in the analysis table 2024. (Step S1001).

  In the data extraction process, the component analysis unit 204, for example, from the meal table 2022 as shown in FIG. 11, the members whose analysis member NOs are “A” and “B” shown in FIG. Only records from January 1, 2013 to January 3, 2013 are extracted and stored in an analysis table 2024 as shown in FIG. Since the contents of each item of the analysis table 2024 are the same as those of the meal table 2022, the description thereof is omitted here.

  And the component analysis part 204 will perform the common food material extraction process for extracting the food material ingested in common by the member, after an analysis object extraction process is complete | finished.

  FIG. 13 is a flowchart showing a processing procedure of the common food material extraction processing. As illustrated in FIG. 13, the component analysis unit 204 first acquires a record of a member to be compared (comparison member) from the target table 8001 (step S1301).

  Next, the component analysis unit 204 determines whether or not all members stored in the target table 8001 have been processed (becomes EOF) (step S1302). Step S1302; Yes), the process proceeds to Step S1307.

  On the other hand, when the component analysis unit 204 determines that the EOF has not been reached (step S1302; No), the analysis table 2024 is referred to, and the member having the same member NO as the comparison member included therein (the member) Is obtained (step S1303), and it is determined whether or not EOF has occurred (step S1304), as in step S1302.

  If the component analysis unit 204 determines that EOF has occurred (step S1304; Yes), the process proceeds to step S1306. On the other hand, if the component analysis unit 204 determines that the EOF has not been reached (step S1304; No), it creates the intake table 1301 for the member (step S1305).

  FIG. 14 is a flowchart showing a processing procedure of processing for creating the member intake table 1301 (member intake table creation processing) in step S1305. As shown in FIG. 14, the component analysis unit 204 acquires the ingested item of the record from the analysis table 2024 (step S1401). Then, the component analysis unit 204 refers to the food table 2023, and acquires the food component and the composition probability of the acquired ingested item (step S1402).

  FIG. 15A is a diagram illustrating a configuration example of the food table 2023. As shown in FIG. 15A, the food table 2023 stores the food composition and the composition probability in association with each item of the meal. In FIG. 15, for example, the item “katsudon” is composed of ingredients such as “egg”, “pork”, “onion”, “rice”, and the probability that these items are included in the item is “0. 8 ”,“ 0.8 ”,“ 0.5 ”,“ 0.9 ”, and the like.

  When the ingredient analysis unit 204 acquires the ingredient component and the composition probability of the ingested item from the ingredient table 2023, the ingredient analysis unit 204 includes the ingested item and a column of the date of ingestion of the ingredient component and a row for each ingested item and the ingested ingredient component. The member intake table 1301 is created, and the composition probability for each ingested item and each ingredient component is recorded for each intake date (step S1403). A configuration example of the member intake table 1301 will be described later with reference to FIG. And the component analysis part 204 will perform the process (ingestion content recording process) for recording an ingestion content in the ingestion table 1301, if the ingestion table 1301 of the said member is produced.

  FIG. 15B is a flowchart showing the processing procedure of the intake content recording processing. As shown in FIG. 15B, the component analysis unit 204 first reads the member's intake table 1301 (step S1501), and further performs OR calculation on the composition probability of the ingredient component consumed by the member, and the calculation result Is recorded in the row of the intake content of the intake table 1301 (step S1502). For the OR calculation performed here, for example, an equation such as A = 1- (1-a1) (1-a2) (1-ai) can be used. For example, for the ingested item “egg”, the ingredient analysis unit 204 has a probability “0.8” (a1) included in the cutlet bowl, a probability “0.6” (a2) included in the inner lunch box, and so on. Etc. is applied to the above calculation formula, and the probability that at least “egg” is included in the meal for a certain period is obtained for the member, and the value is recorded in the intake table 1301.

  FIG. 16A is a diagram illustrating a configuration example of the intake table 1301. As shown in FIG. 16A, the intake table 1301 stores food ingredient components included in an ingested item, the date of ingesting the ingested item, and the ingested content in association with each other. In FIG. 16A, for example, the ingredient analysis unit 204 generates a record of ingested items (eg, pork cutlet) and its ingredients (eg, eggs) in the member intake table creation process shown in FIG. Referring to, the composition probability of each ingredient component included in the ingested item (for example, the composition probability “0.8” of the egg included in the cutlet bowl) is recorded for each intake date.

  The ingredient analysis unit 204 determines that the creation of the member intake table 1301 in step S1305 shown in FIG. 13 has been completed (step S1304; Yes), and when the intake content recording in step S1306 ends, the process returns to step S1301. Then, with reference to the target table 8001, the processes from step S1301 to S1306 are repeated for the subsequent members.

  If the component analysis unit 204 determines that all members stored in the target table 8001 have been processed (becomes EOF) (step S1302; Yes), the process proceeds to step S1307 and is recorded in the target table 8001. A common intake table creation process is executed to create a common intake table 2025 that stores the ingredients that have been ingested in common for all members who have been in operation (step S1307).

  FIG. 16B is a flowchart illustrating a processing procedure of a common intake table creation process. As shown in FIG. 16B, in the common intake table creation process, the component analysis unit 204 reads the intake table 1301 for all the members created in the member intake table creation process and the intake content recording process, and stores them in the common intake table 2025. A column is created for each member, a row is provided for each ingredient component for each member, and the ingredient component of the corresponding member is written (step S1601).

  FIG. 17 is a diagram illustrating a configuration example of the common intake table 2025. As shown in FIG. 17, the common intake table 2025 stores food ingredient components and members in association with each other. For example, for the ingredient “egg”, the meal consumed by member A is included with a probability of “0.92”, and the meal consumed by member B is included with a probability of “0.84”. Is shown.

  And the component analysis part 204 performs AND calculation of a structure probability for every food ingredient of the common intake table 2025, and records the result in the common intake column of the common intake table 2025 (step S1602). For example, the component analysis unit 204 has a probability “0.92” that the meal component “Tamago” is included in the meal ingested by the member A, and a probability “0. 84 ”and the other members in the same manner, and the result“ 0.77 ”is stored in the common intake column. For the AND calculation formula, for example, X = xa × xb ×... Xxi can be used.

  When the process of step S1602 ends, the common intake table creation process illustrated in FIG. 16 ends, and the common food extraction process illustrated in FIG. 13 also ends. When the common food extraction process ends, the display control unit 205 subsequently executes a screen display process for displaying the processing result on the input display unit 102.

  FIG. 18 is a flowchart showing the processing procedure of the screen display processing. As shown in FIG. 18, in the screen display process, the display control unit 205 acquires the analysis table 2024 and the common intake table 2025 (step S1801), and the number of members registered in the common intake table 2025 (for example, the table The number of columns) and the number of ingredients (for example, the number of rows in the table) are calculated and displayed as an analysis result screen on the display screen 206 (step S1802). An example of the display screen 206 will be described later with reference to FIG.

  Then, the display control unit 205 creates a list in which food ingredients are recorded in the common intake table 2025 in ascending order of numerical values in the common intake column, and the numerical values are associated with the numerical values on the display screen 206. It is displayed (step S1803).

  FIG. 19 is a diagram illustrating a configuration example of an analysis result screen displayed on the display screen 206. As shown in FIG. 19, in the analysis result screen, the number of members and the number of ingredients calculated in step S1801 are displayed in the upper left part of the screen (FIG. 19 (1)), and the upper center part of the screen (FIG. 19 (2) )), The list (analysis result list of common ingredients) created in step S1802 is displayed. In FIG. 19, since the numerical value of the ingredient component “egg” is the largest among the common ingredients, it is displayed in the first row L1.

  The display control unit 205 acquires the target table 8001 and the meal table 2022 (step S1804), and acquires one record from the target table 8001 (step S1805).

  The display control unit 205 determines whether or not there are no more records to be acquired from the target table 8001 (becomes EOF) (step S1806). If it is determined that EOF is obtained (step S1806; Yes), the display control unit 205 proceeds to step S1809. The process is terminated to wait until a scroll instruction event on the display screen 206 is accepted (step S1809).

  On the other hand, if the display control unit 205 determines that the EOF is not set (step S1806; No), the display control unit 205 accesses the meal table 2022 using the members of the target table 8001 and the analysis start date as keys, and each of the target table 8001 A plurality of (for example, four days) consecutive acquisition images including the period to be analyzed from the date one month before the date that the member took on the date that the member took on that date (step) S1807). The reason why the display control unit 205 acquires the ingestion photograph from the date a little before the start date of analysis is that the food intake content within the analysis target period and the meal during the analysis target period This is to compare the intake content and analyze the difference. In the present embodiment, a meal ingestion photograph is acquired in a period slightly before the analysis target period. However, the display control unit 205 arbitrarily sets the number of days (for example, 1 instead of 1 day). Week etc.) can also be displayed. Furthermore, a meal intake photograph (for example, one day, one week, etc.) in a period slightly later than the analysis target period rather than a period prior to the analysis target period may be acquired and displayed on the screen. Good.

  Then, the display control unit 205 performs a marking process (for example, for the ingestion photographs from the analysis target start date to the analysis target end date, which is the analysis target period, of the acquired meal ingestion photographs for the member. In addition, in row L2 displaying the contents of meal intake for member A shown in FIG. 19, mark T is displayed on the upper side of meal intake picture P as shown in (3) -1), and intake pictures before and after the analysis target period The screen is displayed with a brighter tone (step S1808). In this way, the display control unit 205 displays the meal contents in the analysis target period at a glance by changing the brightness between the analysis target period and the periods before and after the analysis target period.

  The display control unit 205 repeats the processing from step S1805 to S1808 until the processing is completed for all members registered in the analysis target table 8001. If the ingestion photo does not fit on the screen, the display control unit 205 may display a screen that scrolls the screen up and down, left and right by flipping, or may display the ingestion photo in a reduced size so that the ingestion photo fits in the screen. Good.

  In this way, in this system, it is possible to manage and analyze the food intake situation in a cross-sectional manner by performing each of the above processes. In addition, each member can also grasp the ingredients of the ingredients taken in his / her own eating habits, which can be used for health management such as life improvement. In addition, since each member's dietary intake is stored in a time-series history as data, for example, even if a disease with a latent period occurs, the past intake of each member can be tracked. Is possible.

  In this embodiment, the ingestion photo is displayed on the screen. However, when the ingestion photo is further clicked, the display control unit 205 accesses the analysis table 2024 and the food table 2023, and FIG. As shown in the above, foods included in the ingestion item of the meal imaged in the ingestion photograph and the composition probability thereof may be displayed. In this way, by displaying the ingredients and their composition probabilities on the screen, it is possible to confirm the composition of the ingested meal.

  In this embodiment, the analysis result is displayed as it is on the display screen 206. For example, the analysis result is displayed on the screen together with member data of the analysis target, information on the medical condition of each member, and the like. Also good. FIG. 20 is a diagram illustrating a display example of information on members and information on medical conditions together with analysis results. In FIG. 20, for example, the age, gender, and residential area of the member are displayed together with the analysis result, and the date and time when the disease developed, the symptom, and the body temperature are displayed as information on the medical condition (onset information). The information about the members is information registered in advance in the member table 2021, and the information about the medical condition is obtained from, for example, a medical institution such as a hospital or clinic where the member has been examined, and the display control unit 205 It is displayed on the screen together with the analysis results and information about members. Thus, by displaying information on members and information on medical conditions together with analysis results, multifaceted analysis is possible.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, in this embodiment, the display control unit 205 of the analysis server 200 displays the analysis result, but the analysis result may be transmitted to the user terminal 100 and displayed on the input display unit 102. By displaying the analysis result on the user terminal 100 side, the analysis result can be confirmed at an arbitrary position.

1000 Food intake status analysis system 100 User terminal 101 Imaging unit 102 Input display unit 103 Control unit 104 Communication unit 105 Storage unit 1051 Intake table 200 Analysis server 201 Communication unit 202 Storage unit 203 User confirmation unit 204 Component analysis unit 205 Display control unit 206 Display unit 2021 Member table 2022 Meal table 2023 Food table 2024 Analysis table 2025 Common intake table N Network.

Claims (8)

A food intake situation analysis system for analyzing food consumed by a plurality of users,
Each user ’s mobile device
An imaging unit that captures an image of food ingested by a user;
A terminal control unit that generates ingestion data in which the image of the food, the ingestion item indicating the food item, and the intake date and time of the food are associated;
A terminal communication unit for transmitting the generated intake data to a server;
The server
Ingredient table for storing ingredients contained in the ingested items, a meal table for storing ingestion data received from each portable terminal, and ingestion data for the analysis target period among the ingestion data stored in the meal table. An analysis table to be stored, an intake table for storing the food ingredient component and the composition probability of the food ingested by the user at the intake date and time, and an ingredient component and the composition probability ingested in common to each user A storage unit for storing a common intake table stored in association with
A server communication unit for storing each intake data received from the terminal communication unit in the meal table;
Extracting intake data of the analysis target period from the meal table and storing it in the analysis table, generating the intake table based on the stored analysis table and the food table, and generating each of the generated users A component analysis unit that calculates the composition probability of the ingredient component common to the food ingested by each user during the analysis target period from the intake table and stores it in the common intake table;
A display control unit for displaying on the display unit the common food ingredient stored in the common intake table and the composition probability thereof, and an image of the food ingested by each of the users during the analysis target period;
A food intake situation analysis system comprising: The display control unit displays on the display unit in descending order of composition probability among the ingredients calculated by the component analysis unit.
The food intake state analysis system according to claim 1. The component analysis unit extracts the intake data including the date and time before and after the analysis target period, calculates the composition probability of the food ingredient including the date and time before and after the analysis target period,
The display control unit displays, on the display unit, images of food ingested on dates before and after the analysis target period, and composition probabilities calculated including the common ingredients and dates before and after the analysis target period. ,
The food intake status analysis system according to claim 1 or 2. When the image of the food displayed on the display unit is designated, the display control unit displays the ingredient component of the designated food and the composition probability on the display unit based on the analysis table and the ingredient table. ,
The food intake situation analysis system according to any one of claims 1 to 3. A food intake state analysis method for analyzing food consumed by a plurality of users,
An imaging step in which the imaging unit of the mobile terminal captures an image of food taken by the user;
A generation step for generating ingestion data in which the terminal control unit of the mobile terminal associates the image of the food, the ingestion item indicating the item of food, and the intake date and time of the food;
A terminal communication step in which the terminal communication unit of the mobile terminal transmits the generated intake data to a server;
A server communication step in which the server communication unit of the server stores each intake data received from the mobile terminal in a meal table that stores the intake data received from each mobile terminal;
The component analysis unit of the server extracts the intake data of the analysis target period from the meal table and stores it in the analysis table that stores the intake data of the analysis target period among the intake data stored in the meal table, Ingestion table for storing the food ingredient component ingested by the user at the ingestion date and the composition probability thereof in association with each other based on the stored analysis table and the ingredient table for storing the ingredient component contained in the ingested item. An intake table generation step for generating
The component analysis unit of the server calculates the composition probability of the ingredient component common to the food consumed by each user during the analysis target period from the generated intake table of each user, and ingests the same for each user. A component analysis step for storing in a common intake table for storing in association with the ingredients and their constituent probabilities;
The display control unit of the server displays, on the display unit, the common food ingredient stored in the common intake table and the composition probability thereof, and an image of the food taken by each user during the analysis target period. A display step;
A food intake situation analysis method comprising: In the display step, the display control unit of the server displays the ingredients on the display unit in descending order of the composition probability calculated in the component analysis step.
The method for analyzing food intake status according to claim 5. In the intake table generation step, the component analysis unit of the server extracts the intake data including dates before and after the analysis target period,
In the component analysis step, the component analysis unit of the server calculates the composition probability of the food component including dates and times before and after the analysis target period,
In the display step, the display control unit of the server calculates a configuration probability calculated by including images of food taken on dates before and after the analysis target period, and the common food ingredients and dates before and after the analysis target period. Is displayed on the display,
The food intake status analysis method according to claim 5 or 6, wherein In the display step, when an image of food displayed on the display unit is designated by the display control unit of the server, the ingredient component of the designated food and its composition probability based on the analysis table and the ingredient table Is displayed on the display,
The food intake situation analysis method according to any one of claims 5 to 7, wherein

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