JP2021157623A - Training content presentation device and training content presentation method - Google Patents

Abstract

To present effective training according to working situation of a user.SOLUTION: A training content presentation device includes: a target discrimination information acquirement unit for acquiring target discrimination information indicating purpose of training desired by a user; a schedule information acquirement unit for acquiring plan information indicating action plan during working hours of the user; a training content storage unit for storing beforehand an execution scene for executing the training and a training menu corresponding to the execution content of the training to be executed in the execution scene for every target discrimination information; and a training content extraction unit for presenting the training menu according to the user target and action plan extracted from the training content storage unit based on the target discrimination information and the plan information.SELECTED DRAWING: Figure 2

Description

The present invention relates to a training content presenting device and a training content presenting method.

Conventionally, a technique for managing health has been proposed due to growing interest in health. For example, Patent Document 1 discloses a technique capable of sufficiently performing health management even for a busy user. In Patent Document 1, a terminal is attached to the user's body, the movement of the body is detected, and guidance information for the user is displayed on the user's terminal according to the movement. Patent Document 1 further presents measures for returning to normal when it is detected that there is an abnormality in the health condition of the user.

Japanese Unexamined Patent Publication No. 2009-169673

People who work for companies generally provide training before or after work. Further effects can be expected if relatively light training can be continuously performed for a long period of time during working hours, which is the majority of life. However, in the prior art, it is not performed to present appropriate training to the user by paying attention to the working hours.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a training content presenting device capable of presenting effective training according to a user's work situation, and a training content presenting method. To provide.

In order to solve the above problem, one aspect of the present invention includes a purpose identification information acquisition unit that acquires purpose identification information indicating the purpose of training requested by the user, and schedule information indicating the action schedule during the working hours of the user. Training content memory that stores in advance a training menu in which the implementation scene in which the training is performed and the implementation content of the training to be performed in the implementation scene are associated with each of the schedule information acquisition unit and the purpose identification information. A unit, a training content extraction unit that extracts and presents the training menu according to the user's purpose and action schedule from the training content storage unit based on the purpose identification information and the schedule information. It is a training content presentation device.

According to the present invention, it is possible to present effective training according to the working situation of the user.

It is a block diagram which shows the structure of the training content presentation system of this embodiment. It is a block diagram which shows the internal structure of the training content presentation device of the same embodiment. It is a figure which shows the data structure of the schedule information and the execution scene extraction information in the same embodiment. It is a figure which shows the data structure of the user information table in the same embodiment. It is a figure which shows the data structure of the training content table in the same embodiment. It is a figure which shows the data structure of the user presentation information in the same embodiment. It is a figure which shows the data structure of the training execution result table in the same embodiment. It is a figure which shows the data structure of the training execution result history table in the same embodiment. It is a flowchart which shows the flow of the selection process of the training menu of the same embodiment. It is a flowchart which shows the flow of the recording process of the embodiment of the same embodiment. It is a flowchart which shows the process flow of the subroutine of the history update process of the same embodiment. It is a figure which shows the data structure of the training content table which added a new training menu by the training content addition part of the same embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing a configuration of the training content presentation system 100 of the present embodiment. The training content presentation system 100 includes a training content presentation device 1, a schedule information server device 2, a mobile terminal device 3, a weight scale 4, and a communication network 5. The communication network 5 connects the training content presentation device 1, the schedule information server device 2, and the mobile terminal device 3 to each other by wired communication or wireless communication.

The schedule information server device 2 stores, for example, Outlook (registered trademark) and other daily work schedule information for each user in an internal storage area in association with a user ID (IDentification). The user ID is identification information that can uniquely identify each user, and is given to each user in advance.

The schedule information has a data structure as shown in the schedule information 40 shown in FIG. 3, for example, and the daily work status of each user, that is, the action schedule such as a meeting or going out during working hours. Contains information that indicates. In the schedule information 40 of FIG. 3, the working hours of the user are set from 9:00 to 18:00. Further, since the lunch break time is not the time for working, but the time for training, it is assumed that the user registers the lunch break time in the schedule information 40. It is assumed that the user has input the daily schedule information 40 by using the mobile terminal device 3 or the personal computer installed in the workplace before starting the training on the day when the training is carried out. do.

The weight scale 4 measures the weight of the user and transmits the measured weight value to the mobile terminal device 3 by, for example, short-range wireless communication or the like. The user may read the weight value measured by the weight scale 4 and display it on the screen, and the user may input the weight value into the mobile terminal device 3.

The mobile terminal device 3 is, for example, a terminal device that can be carried by a user such as a smartphone, and in addition to a configuration such as a general communication function and a screen display, biometric information such as a user's pulse and blood pressure can be obtained, for example, for several seconds. It has a configuration to acquire at regular intervals such as intervals. Further, the mobile terminal device 3 is equipped with a GPS (Global Positioning System), and detects the position information of the mobile terminal device 3 at regular intervals of, for example, several seconds. The user ID of the user to be used is stored in the mobile terminal device 3 in advance, and the biometric information, the position information, or the weight value measured by the weight scale 4 is presented together with the user ID via the communication network 5. Send to device 1.

The training content presentation device 1 acquires the purpose of training requested by the user, and presents a training menu according to the purpose and the action schedule of the user acquired from the schedule information server device 2.

FIG. 2 is a block diagram showing an internal configuration of the training content presentation device 1. The training content presentation device 1 includes a purpose identification information acquisition unit 11, a schedule information acquisition unit 12, a training content extraction unit 13, a route search unit 14, a selection information acquisition unit 15, a user information storage unit 16, a training content storage unit 17, and a position. It includes an information acquisition unit 20, a biological information acquisition unit 21, a target index acquisition unit 22, an implementation status detection recording unit 23, an implementation history update unit 24, a training result storage unit 25, a parameter update unit 26, and a training content addition unit 27.

The purpose identification information acquisition unit 11 acquires the purpose identification information indicating the purpose of the training requested by the user together with the user ID. Here, the purpose of the training requested by the user is "to lose weight", "to strengthen the legs and waist", "to strengthen the abdominal muscles", etc., and for each purpose, "weight loss". , "Strengthening the legs and hips", "Strengthening the abdominal muscles", and other uniquely identifiable purpose identification information is given in advance.

The schedule information acquisition unit 12 acquires the schedule information 40 of the implementation date, which is one of the plurality of schedule information corresponding to the user ID acquired by the purpose identification information acquisition unit 11, from the schedule information server device 2. do. Further, the schedule information acquisition unit 12 extracts information of each item of the implementation scene extraction information 50 shown in FIG. 3 from the acquired schedule information 40, and generates the implementation scene extraction information 50 based on the extracted information.

The user information storage unit 16 stores the user information table 161 shown in FIG. 4 in advance. The user information table 161 has items of "user ID", "user name", "gender", "age", and "remarks", and stores attribute information indicating the attributes of the user. In the item of "user ID", a user ID given in advance to each user is written. Information indicating the names of individual users is written in the "user name" item. In the "gender" item, information such as "male" or "female" indicating the gender of each user is written. In the "age" item, information indicating the age of each user is written. In the "remarks", for example, information that needs to be considered in training such as chronic illness is written.

It is assumed that information is written in each item of the user information table 161 at least before the user uses it. For example, before the user uses the training content presenting device 1, the mobile terminal device 3 is operated to input the attribute information to be written in each item. The mobile terminal device 3 transmits the attribute information input to the training content presenting device 1, and the training content presenting device 1 writes the received attribute information in the user information table 161. Further, the administrator of the training content presenting device 1 may operate the training content presenting device 1 based on the information presented by the user to write the attribute information in the user information table 161. The items "user name", "gender", "age", and "remarks" shown in the user information table 161 shown in FIG. 4 are all attribute information indicating the attributes of the user, but other than these information. It may include an item of attribute information indicating the attribute of the user of.

The training content storage unit 17 stores the training content table 171 shown in FIG. 5 in advance. The training content table 171 has items of "purpose", "training ID", "condition", and "training menu". In the item of "purpose", purpose identification information such as "weight loss", "leg and waist strengthening", and "abdominal muscle strengthening", and sub-purpose identification information obtained by further dividing each purpose identification information are written. The sub-purpose identification information is written in a format in which a number is added to a name indicating the corresponding purpose identification information, such as "weight loss 1", "weight loss 2", and so on.

In the item of "training ID", a training ID that can uniquely identify each of the sub-purpose identification information given in advance to each of the sub-purpose identification information is written. User attribute information such as age and gender is written in the "condition" item.

The items of the "training menu" include the items of "implementation scene", "implementation content", and "implementation expected effect parameter". In the item of "implementation scene", information indicating the implementation scene where the training is performed is written. The information indicating the implementation scene is information that matches any of the action schedules written in the "action schedule" item of the implementation scene extraction information 50 generated from the schedule information 40 by the schedule information acquisition unit 12. In the item of "implementation content", the content of the training to be implemented in the implementation scene of the corresponding "implementation scene" item is written. In the example shown in FIG. 5, two "air chairs and toes" are written as the implementation contents of the implementation scene "free time", but this means that the user can use both "air chairs" and "toes". Indicates that training will be carried out.

In the item of "Implementation expected effect parameter", a numerical value indicating the effect obtained by performing the training of the corresponding item of "Implementation content" is written. For example, when the user's purpose is "weight loss", the amount of weight loss per unit time (per 30 minutes in the example shown in FIG. 5) is written. In the training content table 171, at least one training menu is defined for one sub-purpose identification information, that is, one training ID.

The training content extraction unit 13 stores the purpose identification information acquired by the purpose identification information acquisition unit 11, the implementation scene extraction information 50 extracted from the schedule information 40 by the schedule information acquisition unit 12, and the user attributes stored in the user information table 161. Based on the information, a training menu according to the user's purpose, schedule, and attributes is extracted from the training content table 171. The training content extraction unit 13 generates the user presentation information 131 shown in FIG. 6 based on the extracted training menu and the implementation scene extraction information 50. The training content extraction unit 13 transmits the generated user presentation information 131 to the mobile terminal device 3 via the communication network 5 and presents it to the user.

When the route search unit 14 receives the request signal for the route search in which the departure place and the arrival place are specified from the training content extraction unit 13, the route search process performs the route search process and detects a plurality of routes including the movement on foot. The route search unit 14 outputs information indicating a plurality of routes detected by the route search process (hereinafter, referred to as route information) to the training content extraction unit 13.

The selection information acquisition unit 15 has a part of the information of the user presentation information 131 corresponding to the training ID selected by the user in the mobile terminal device 3, that is, the "training ID" corresponding to the selected training ID and the "total expected effect of implementation". , "Implementation scene", "Time (route)", "Implementable time", "Implementation content", "Implementation forecast effect" as selection information, along with user ID and date ..

The position information acquisition unit 20 receives the position information and the user ID transmitted by the mobile terminal device 3 via the communication network 5, and outputs the received position information and the user ID to the implementation status detection recording unit 23. The biometric information acquisition unit 21 receives the biometric information and the user ID transmitted by the mobile terminal device 3 via the communication network 5, and outputs the received biometric information and the user ID to the implementation status detection recording unit 23.

The target index acquisition unit 22 transmits a message prompting the mobile terminal device 3 to input the weight value via the communication network 5. Further, the target index acquisition unit 22 receives the weight value and the user ID transmitted by the mobile terminal device 3, and outputs the received weight value and the user ID to the implementation status detection recording unit 23.

The implementation status detection recording unit 23 generates the training execution result table 251 shown in FIG. 7 in the training result storage unit 25 based on the user ID acquired by the selection information acquisition unit 15, the date, and the selection information. Further, the implementation status detection / recording unit 23 is provided with a time measuring means such as a clock inside, and the position information output by the position information acquisition unit 20 and the biometric information acquisition unit 21 output the implementation status of the training menu according to the time. Detect based on the biometric information output by. The implementation status detection / recording unit 23 records information indicating the detected implementation status in the training implementation result table 251. Further, the implementation status detection recording unit 23 calculates the implementation effect for each training menu based on the weight value output by the target index acquisition unit 22, and records the information indicating the calculated implementation effect in the training implementation result table 251. ..

When the execution history update unit 24 receives the update instruction signal including the date and the user ID from the implementation status detection recording unit 23, the training execution result table 251 corresponding to the date and the user ID included in the update instruction signal is stored. Based on the information, the training execution result history table 252 shown in FIG. 8 is updated.

The parameter update unit 26 writes in the items of "execution time" and "implementation effect" for each implementation content of the training execution result table 251 of a plurality of users at regular intervals of, for example, several weeks or one month. Based on the information provided, the expected implementation effect parameters written in the item of "expected implementation effect parameters" for each implementation content in the training content table 171 are updated.

The training content addition unit 27 is effective training for each user based on the information stored in the training execution result history table 252 of each user at regular intervals of, for example, several weeks or one month. Select a menu. Further, the training content addition unit 27 adds the selected training menu to the training content table 171 as a training menu dedicated to the user corresponding to the user ID.

(Training menu selection process by the training content presentation system)
Next, the processing of the training content presentation system 100 will be described. FIG. 9 is a flowchart showing a process of selecting a training menu that suits the user's request. It is assumed that the user ID stored in advance in the mobile terminal device 3 is "0001".

The user operates the mobile terminal device 3 to input the purpose identification information indicating the purpose of the training requested by the user before commuting to the workplace or immediately after commuting to the workplace. Here, it is assumed that the user selects and inputs "weight loss" as the purpose identification information.

The mobile terminal device 3 transmits the purpose identification information “weight loss” input by the user to the training content presentation device 1 via the communication network 5 together with the user ID “0001”. The purpose identification information acquisition unit 11 of the training content presentation device 1 receives the purpose identification information “weight loss” and the user ID “0001” transmitted by the mobile terminal device 3. The purpose identification information acquisition unit 11 outputs the received purpose identification information “weight loss” and the user ID “0001” to the training content extraction unit 13, and outputs the user ID “0001” to the schedule information acquisition unit 12 (step S1). ..

The schedule information acquisition unit 12 captures the user ID "0001" output by the purpose identification information acquisition unit 11, and makes a schedule information acquisition request including the captured user ID "0001" via the communication network 5 in the schedule information server device 2. Send to. When the schedule information server device 2 receives the schedule information acquisition request transmitted by the schedule information acquisition unit 12, the user ID "0001" included in the received schedule information acquisition request is included in the schedule information stored in the internal storage area. Select the schedule information corresponding to. The schedule information server device 2 corresponds to the implementation date (the day when the schedule information acquisition request is received, which is assumed to be "X / 1 2020") for training from the selected schedule information. Select and read the schedule information 40 shown in FIG.

The schedule information server device 2 transmits the read schedule information 40 to the schedule information acquisition unit 12 of the training content presentation device 1 via the communication network 5. The schedule information acquisition unit 12 receives and acquires the schedule information 40 transmitted by the schedule information server device 2 (step S2).

The schedule information acquisition unit 12 extracts information from the acquired schedule information 40 and generates implementation scene extraction information 50. As shown in FIG. 3, the schedule information 40 includes a user ID, a date, and information indicating an action schedule separated by a time. As shown in FIG. 3, the implementation scene extraction information 50 is table-type information having items of "user ID", "date", "action schedule", and "time (route)". The schedule information acquisition unit 12 writes the user ID “0001” extracted from the schedule information 40 and the date “X / 1 2020” in the “user ID” and “date” items of the implementation scene extraction information 50, respectively.

The schedule information acquisition unit 12 classifies the user's action schedule included in the schedule information 40 by type, classifies the action schedule for each type, and provides information and route information indicating the time when the action schedule is performed. Write in the items of "action schedule" and "time (route)" of the implementation scene extraction information 50, respectively.

For example, the "meeting in the meeting room" from 10:00 to 11:00 and the "meeting in company A" from 15:00 to 16:00 included in the schedule information 40 shown in FIG. 3 differ only in the location. It is a "meeting" that has the same schedule of actions. Therefore, the schedule information acquisition unit 12 classifies these two action schedules as "meetings", writes "meeting" in the "action schedule" item of the implementation scene extraction information 50, and sets it in the "time (route)" item. Information indicating the two times of "10:00 to 11:00" and "15:00 to 16:00" is written.

Since there is no other same action schedule for the "lunch break" from 12:00 to 13:00 in the schedule information 40, the schedule information acquisition unit 12 sets the "lunch break" in the "action schedule" item of the implementation scene extraction information 50. Is written, and "12:00 to 13:00" is written in the "time (route)" item.

The "movement" from 14:45 to 15:00 and the "movement" from 16:00 to 16:15 in the schedule information 40 are the same action schedule. Therefore, the schedule information acquisition unit 12 classifies these two action schedules as "movement", and writes "movement" in the item of "action schedule" of the implementation scene extraction information 50. The schedule information acquisition unit 12 corresponds to "14:45 to 15:00" in the "time (route)" item and "route: company-company A, one companion" indicating the route and the number of accompanying persons. In addition, "16:00 to 16:15" is written in association with "Route: Company A-company, 0 accompanying persons" indicating the route and the number of accompanying persons.

The time during which there is no action schedule in the schedule information 40 can be regarded as the time when the user is not restricted to a specific task, for example, is creating materials by himself / herself. The schedule information acquisition unit 12 classifies the time during which no action schedule exists as an action schedule called "free time". The schedule information acquisition unit 12 writes "free time" in the "action schedule" item of the implementation scene extraction information 50, and classifies it as free time in the "time (route)" item "9:00 to 10:00". , "11: 00-12: 00", "13: 00-14: 45", "16: 15-18: 00" are written. The schedule information acquisition unit 12 outputs the generated implementation scene extraction information 50 to the training content extraction unit 13 (step S3).

The training content extraction unit 13 takes in the purpose identification information "weight loss" and the user ID "0001" output by the purpose identification information acquisition unit 11. Further, the training content extraction unit 13 takes in the implementation scene extraction information 50 output by the schedule information acquisition unit 12.

The training content extraction unit 13 refers to the user information table 161 of the user information storage unit 16, and the attribute information associated with the user ID "0001", that is, "user name (Taro Yamada)" and "gender (male)". , "Age (45)", and "Remarks (hypertension)" are read out (step S4).

The training content extraction unit 13 displays the sub-purpose identification information “weight loss 1”, “weight loss 2”, “weight loss 3”, etc. included in the captured purpose identification information “weight loss” in the training content table 171 of the training content storage unit 17. Extract and refer to the condition of the attribute information shown in each extracted "condition" item. The training content extraction unit 13 detects all training IDs that satisfy the condition of the attribute information based on the condition of the referenced attribute information and the attribute information read from the user information table 161. Here, it is assumed that the training content extraction unit 13 detects "001" and "002" as training IDs that satisfy the condition of the attribute information. The training content extraction unit 13 reads out the training menu corresponding to the training IDs “001” and “002” (step S5).

The training content extraction unit 13 refers to the item of "implementation scene" of all the read training menus, and determines whether or not "movement (independent)" is included in the implementation scene (step S6). When the training content extraction unit 13 determines that the implementation scene includes "movement (single)" (step S6, Yes), the training content extraction unit 13 proceeds to the process in step S7. On the other hand, when the training content extraction unit 13 determines that the implementation scene does not include "movement (single)" (steps S6 and No), the training content extraction unit 13 proceeds to the process in step S9.

In the training content table 171 shown in FIG. 5, "movement (single)" is included in the implementation scene of the training ID "001". Therefore, the training content extraction unit 13 determines that "movement (single)" is included in the implementation scene, that is, determines "Yes" in step S6.

Whether or not the training content extraction unit 13 has "move" in the "action schedule" item of the captured implementation scene extraction information 50 and "0 companions" in the "time (route)" item. Is determined (step S7). Here, the reason for determining whether or not there are "0 companions" is, for example, that the shortest route is a route that travels using transportation such as a train, but if there is no companion, the user This is because the route can be freely selected, such as selecting a route that includes walking, which is not the shortest.

When the training content extraction unit 13 determines that there is "move" in the "action schedule" item of the implementation scene extraction information 50 and "0 companions" exists in the "time (route)" item (step). S7, Yes), the process proceeds to step S8. On the other hand, the training content extraction unit 13 states that there is no "move" in the "action schedule" item of the implementation scene extraction information 50, or there is no "0 companions" in the "time (route)" item. If it is determined (step S7, No), the process proceeds to step S9.

As shown in FIG. 3, in the implementation scene extraction information 50, there are no accompanying persons on the route from 16:00 to 16:15 when the company A returns to the company. Therefore, the training content extraction unit 13 determines that there is "movement" in the "action schedule" item of the implementation scene extraction information 50 and "0 companions" in the "time (route)" item, that is, , In step S7, the determination of "Yes" is performed.

The training content extraction unit 13 refers to the time when the 0 accompanying persons included in the implementation scene extraction information 50 is moved, that is, from 16:00 to 16:15, and even if the time before and after this action schedule is extended. Determine if there is any problem. As shown in the implementation scene extraction information 50 of FIG. 3, since there is an action schedule of the "meeting" from 15:00 to 16:00 before 16:00 to 16:15, it is not possible to extend it before. Can not. On the other hand, after 16:00 to 16:15, since the action schedule is "free time" from 16:15 to 18:00, it can be extended later.

The training content extraction unit 13 sets the departure point as "a route other than the shortest route" from company A, which is the route of movement of 0 companions included in the implementation scene extraction information 50, in order to search for a route other than the shortest route. The route search request signal is output to the route search unit 14 with "Company A", the arrival place as "own company", and the departure time as "16:00". Upon receiving the route search request signal, the route search unit 14 performs a route search process for searching the route from the company A to the company, and detects a plurality of route information including the movement on foot. The route search unit 14 outputs the detected plurality of route information to the training content extraction unit 13 (step S8).

The training content extraction unit 13 generates user presentation information 131 based on the training ID read from the training content table 171, the training menu corresponding to each of the training IDs, and the implementation scene extraction information 50. When the training content extraction unit 13 receives the route information from the route search unit 14, the training content extraction unit 13 generates the user presentation information 131 in consideration of the route information.

As shown in FIG. 6, the user presentation information 131 includes "user ID", "date", "training ID", "total expected effect of implementation", "implementation scene", "time (route)", and "possible implementation time". , "Implementation content", and "Implementation forecast effect" are tabular information. Hereinafter, the procedure for generating the training ID “001” portion of the user presentation information 131 will be described.

The training content extraction unit 13 provides the user ID “0001” of the implementation scene extraction information 50, the date “X / 1 2020”, and the training ID “001” read from the training content table 171 as user presentation information, respectively. Write in the "User ID", "Date", and "Training ID" items of 131.

Here, since the training content extraction unit 13 receives the route information from the route search unit 14, the training content extraction unit 13 selects the route information including the walking within the predetermined walking time from the route information received from the route search unit 14. do. When "20 minutes" is predetermined as the walking time, the training content extraction unit 13 may use, for example, at α station, which is the nearest station of company A, from among a plurality of route information received from the route search unit 14. Take the train, get off at β station, walk 20 minutes from β station and select the route information to return to your company.

Since the route information selected by the training content extraction unit 13 includes information of "16:00 to 16:25" as the time from company A to return to the company, the training content extraction unit 13 is in the implementation scene. Rewrite "16: 15-18: 00" of "free time" of the extraction information 50 to "16: 25-18: 00".

The training content extraction unit 13 divides the "movement" of the "action schedule" item of the implementation scene extraction information 50 into "movement" and "movement (independent)", and "time (time) corresponding to the" movement ". Write "14:45 to 15:00" and "(Route: Company-Company A, 1 companion)" in the "Route)" item. In addition, the training content extraction unit 13 replaces "16:00 to 16:15" with "16:00 to 16:25" in the item of "time (route)" corresponding to "movement (independent)". "Route: Company A-Company, 0 companions" and "Company A-α station- (train) -β station- (20 minutes on foot) -company" indicating the route of the selected route information Write.

In step S8, when the route search unit 14 cannot search the route information including walking, or when the training content extraction unit 13 determines that the time cannot be extended before and after the action schedule of the movement of 0 companions. , The training content extraction unit 13 does not divide the "movement" of the "action schedule" into "movement" and "movement (independent)", but leaves it as it is.

As shown in FIG. 6, the training content extraction unit 13 includes each of the information included in the “action schedule” item of the implementation scene extraction information 50 rewritten as described above, and the “time (route)” item. Each of the information contained in is written in the items of "implementation scene" and "time (route)" of the user presentation information 131, respectively. The training content extraction unit 13 calculates the total time of each of the implementation scenes, and writes the calculated total time in the corresponding portion of the item of "implementable time" of the user presentation information 131 corresponding to each. For example, when the implementation scene is "meeting", the item of "time (route)" includes "10:00 to 11:00" and "15:00 to 16:00". Therefore, the training content extraction unit 13 calculates "2 hours" as the total time, and writes the calculated "2 hours" in the place corresponding to the "meeting" in the "possible time" item.

However, when the "action schedule" is "lunch break", it is necessary to consider the meal time, so the training content extraction unit 13 sets "30 minutes", which is half the total time, to "time (route)", for example. ) ”Shall be written in. In addition, half of the total time is not set as the time to carry out the training, but for example, one-third of the time or a predetermined time is set as the time to carry out the training, and "time (route)". You may write in the item of.

The training content extraction unit 13 provides information indicating the training implementation content corresponding to each of the implementation scenes of the training ID “001” of the user presentation information 131 and the implementation expected effect parameter with the training ID “001” of the training content table 171. It is detected from the items of "Implementation content" and "Implementation expected effect parameter" of the training menu corresponding to "". For example, when the implementation scene is "meeting", the training content extraction unit 13 detects the implementation content of "toe-to-toe" and the implementation expected effect parameter of "-0.07 g / 30 minutes" from the training content table 171.

The training content extraction unit 13 writes information indicating the detected training implementation content in the corresponding portion of the “execution content” item of the user presentation information 131. The training content extraction unit 13 multiplies each of the detected implementation prediction effect parameters by the total time written in the "implementable time" item of the corresponding user presentation information 131, and the implementation prediction for each implementation scene. Calculate the effect. For example, when the implementation scene is "meeting", as described above, the training content extraction unit 13 detects the implementation prediction effect parameter of "-0.07 g / 30 minutes" from the training content table 171. Therefore, the training content extraction unit 13 multiplies "2 hours" corresponding to "meeting" in the "possible time" item by "-0.07 g / 30 minutes" to obtain "-0.28 g". Is calculated, and the calculated "−0.28 g" is written in the place corresponding to the "meeting" in the "expected implementation effect" item of the user presentation information 131.

The training content extraction unit 13 has, for all the action schedules included in the implementation scene extraction information 50, the "implementation scene", "time (route)", "implementable time", and "implementation time" of the training ID "001" of the user presentation information 131. After completing the writing in the "Implementation details" and "Implementation forecast effect" items, calculate the total value of the numerical values in the "Implementation forecast effect" item and write the calculated total value in the "Implementation forecast effect total" item. .. As a result, the part of the training ID "001" in the user presentation information 131 is completed. The training content extraction unit 13 performs the same processing for the training ID "002", and finally generates the user presentation information 131 shown in FIG.

The training content extraction unit 13 transmits the generated user presentation information 131 to the mobile terminal device 3 via the communication network 5. The mobile terminal device 3 receives the user presentation information 131 transmitted by the training content extraction unit 13 and displays it on the screen to present it to the user (step S9). This makes it possible to present effective training according to the work situation of the user.

The user refers to the user presentation information 131 displayed on the screen of the mobile terminal device 3 and selects one of the training IDs. Here, it is assumed that the user selects the training ID "001". The mobile terminal device 3 cuts out the portion of the reference numeral 131-1 shown in FIG. 6 from the user presentation information 131, and uses the cut out portion as the selection information 131-1, and the user ID “0001” included in the user presentation information 131 and the user ID “0001”. It is transmitted to the training content presenting device 1 via the communication network 5 together with the date "X / 1 2020". The selection information acquisition unit 15 receives the selection information 131-1 transmitted by the mobile terminal device 3, the user ID “0001”, and the date “X / 1 2020” (step S10).

The selection information acquisition unit 15 outputs the received selection information 131-1, the user ID “0001”, and the date “X / 1 2020” to the implementation status detection / recording unit 23. The implementation status detection / recording unit 23 takes in the selection information 131-1 output by the selection information acquisition unit 15, the user ID “0001”, and the date “X / 1 2020” into the training result storage unit 25. The training execution result table 251 is generated.

As shown in FIG. 7, the training implementation result table 251 shows "user ID", "date", "training ID", "start weight", "end weight", "implementation scene", and "implementable time". , "Implementation content", "Implementation expected effect", "Implementation time", "Implementation effect", "Implementation time achievement rate", "Implementation effect achievement rate". The implementation status detection / recording unit 23 trains the captured user ID "0001" and the date "X / 1 2020" and the training ID "001" included in the captured selection information 131-1. Write in the "User ID", "Date", and "Training ID" items of the result table 251.

The implementation status detection / recording unit 23 uses the information included in the items of "implementation scene", "implementable time", "implementation content", and "expected implementation effect" of the captured selection information 131-1 as the training implementation result. Write in the items of "implementation scene", "implementable time", "implementation content", and "expected implementation effect" in Table 251 (step S11).

(Record processing of implementation status by training content presentation system)
FIG. 10 is a flowchart showing a flow of processing for recording the implementation status of the training performed by the user.

In the following processing, it is assumed that the weight is measured before and after each training menu in order to measure the effect of each training menu. In recent years, there are weight scales having a size that can be carried around, but the user is not always in a state where he / she can measure the weight when he / she is out. Therefore, it is assumed that the body weight is measured by the weight scale 4 as much as possible. If the body weight cannot be measured, the user operates the mobile terminal device 3 to input the expected body weight value at that time. Further, a desk chair equipped with a weight sensor may be used for measuring the weight. This makes it possible to weigh while sitting in a chair and working.

The implementation status detection / recording unit 23 continuously acquires time information from the internal timekeeping means. The implementation status detection / recording unit 23 determines the training start timing depending on whether or not the acquired time reaches any of the start times included in the “time (route)” item of the selection information 131-1. Detect (step S21).

When the implementation status detection / recording unit 23 determines that the acquired time has reached any of the start times, it generates a start message transmission instruction signal including the user ID "0001" captured together with the selection information 131-1. The generated start message transmission instruction signal is output to the target index acquisition unit 22. In the selection information 131-1, the first start time is "9:00" when the implementation scene is "free time", and when the acquired time reaches "9:00", the implementation status detection recording unit 23 Outputs a start message transmission instruction signal including the user ID "0001" to the target index acquisition unit 22.

When the objective index acquisition unit 22 receives the start message transmission instruction signal from the implementation status detection recording unit 23, the target index acquisition unit 22 refers to the mobile terminal device 3 corresponding to the user ID "0001" included in the start message transmission instruction signal. , A message prompting the input of the weight value at the start is transmitted via the communication network 5 (step S22).

When the mobile terminal device 3 receives the message sent by the target index acquisition unit 22 prompting the input of the weight value at the start, the mobile terminal device 3 displays a message prompting the input of the weight value at the start on the screen. The user refers to the screen of the mobile terminal device 3 and measures the body weight value using the weight scale 4. The weight scale 4 transmits the measured weight value to the mobile terminal device 3. When the mobile terminal device 3 receives the weight value from the weight scale 4, the mobile terminal device 3 transmits the received weight value together with the user ID "0001" to the target index acquisition unit 22 via the communication network 5. The target index acquisition unit 22 receives the weight value and the user ID “0001” transmitted by the mobile terminal device 3, and outputs the received weight value and the user ID “0001” to the implementation status detection recording unit 23.

The implementation status detection recording unit 23 fetches the weight value and the user ID "0001" output by the target index acquisition unit 22, and acquires the weight value at the start of the fetched user ID "0001" from the timekeeping means at that time. The time information is associated with each other and written to the internal storage area for storage (step S23).

The position information acquisition unit 20 receives the position information and the user ID “0001” transmitted by the mobile terminal device 3, and sequentially outputs the received position information and the user ID “0001” to the implementation status detection recording unit 23. The implementation status detection / recording unit 23 sequentially captures the position information output by the position information acquisition unit 20 and the user ID “0001”.

The biometric information acquisition unit 21 receives the biometric information and the user ID "0001" transmitted by the mobile terminal device 3, and sequentially outputs the received biometric information and the user ID "0001" to the implementation status detection recording unit 23. The implementation status detection / recording unit 23 sequentially captures the biometric information output by the biometric information acquisition unit 21 and the user ID “0001” (step S24).

The implementation status detection / recording unit 23 detects the implementation status of the training of the user corresponding to the user ID “0001” and measures the implementation time based on the captured position information and biometric information (step S25). For example, the implementation status detection / recording unit 23 stores in advance the pulse and blood pressure in normal times when the user is not training, and the pulse and blood pressure included in the captured biological information can be used as the pulse and blood pressure in normal times. If it exceeds the limit, it is determined that some kind of training is being performed, and the training implementation time is measured. Further, the implementation status detection / recording unit 23 determines that walking training is being performed if the change in the user's position information is about the walking speed, and measures the implementation time during which the walking training is being performed. ..

The implementation status detection / recording unit 23 determines whether or not the time continuously acquired from the internal timekeeping means has reached the end time (step S26). For example, in the case of "9:00 to 10:00" of "free time" which is the first training, the implementation status detection recording unit 23 determines whether or not the acquired time has reached "10:00". judge. When "10:00" has not been reached, the implementation status detection / recording unit 23 determines that the end time has not been reached (steps S26, No), and repeats the processes after step S24. On the other hand, when the acquired time reaches "10:00", the implementation status detection recording unit 23 determines that the end time has been reached (step S26, Yes), and determines the total time of the measured implementation times. calculate.

The implementation status detection / recording unit 23 updates the content of the “implementation time” item in the training implementation result table 251 corresponding to the implementation scene that reached the end time in the immediately preceding step S26, based on the calculated total implementation time. (Step S27). For example, in the case of "9:00 to 10:00" of "free time" which is the first training, the content of the item of "implementation time" is initialized to "0 hours". Therefore, the implementation status detection / recording unit 23 adds the calculated total time to the already written "0 hours" to obtain the total time, which is the "free time" in the "implementation time" item of the training implementation result table 251. Overwrite the part corresponding to "" and update.

The implementation status detection / recording unit 23 generates an end-time message transmission instruction signal including the user ID “0001”, and outputs the generated end-time message transmission instruction signal to the target index acquisition unit 22. When the objective index acquisition unit 22 receives the end message transmission instruction signal from the implementation status detection recording unit 23, the objective index acquisition unit 22 refers to the mobile terminal device 3 corresponding to the user ID "0001" included in the end message transmission instruction signal. , A message prompting the input of the weight value at the end is transmitted via the communication network 5 (step S28).

When the mobile terminal device 3 receives the message sent by the target index acquisition unit 22 prompting the input of the weight value at the end, the mobile terminal device 3 displays a message prompting the input of the weight value at the end on the screen. The user refers to the screen of the mobile terminal device 3 and measures the body weight value using the weight scale 4. The weight scale 4 transmits the measured weight value to the mobile terminal device 3. When the mobile terminal device 3 receives the weight value from the weight scale 4, the mobile terminal device 3 transmits the received weight value together with the user ID "0001" to the target index acquisition unit 22 via the communication network 5. The target index acquisition unit 22 receives the weight value and the user ID “0001” transmitted by the mobile terminal device 3, and outputs the received weight value and the user ID “0001” to the implementation status detection recording unit 23.

The implementation status detection / recording unit 23 takes in the weight value output by the target index acquisition unit 22 and the user ID “0001”, and obtains the weight value at the end of the taken-in user ID “0001” from the timekeeping means at that time. The time information is associated and written to the internal storage area for storage. The implementation status detection recording unit 23 reads the weight value at the start immediately before the user ID "0001" from the internal storage area, subtracts the weight value at the start from the weight value at the end, and calculates the weight difference.

Based on the calculated weight difference value, the implementation status detection / recording unit 23 updates the content of the “implementation effect” item in the training implementation result table 251 corresponding to the implementation scene in which the end time was reached in the immediately preceding step S26. (Step S29). For example, in the case of "9:00 to 10:00" of "free time" which is the first training, the part corresponding to "free time" of the item of "implementation effect" is initialized to "0 g". ing. Therefore, the implementation status detection / recording unit 23 sets the total value obtained by adding the calculated weight difference value to the already written “0 g” in the location corresponding to the “free time” in the “implementation effect” item. Overwrite and update.

The implementation status detection / recording unit 23 determines whether or not all the implementation scenes of the selection information 131-1 have been completed (step S30). When it is determined that all the implementation scenes have not been completed (steps S30, No), the implementation status detection / recording unit 23 repeats the processes after step S21.

On the other hand, when the implementation status detection recording unit 23 determines that all the implementation scenes have been completed (step S30, Yes), the weight value at the start and the weight at the end for each implementation scene stored in the internal storage area. By referring to the values and the time associated with each, the first weight value and the last weight value on the implementation date are detected.

In the case of selection information 131-1, the weight value at the start of the training of "9:00 to 10:00" in the "free time" and the training of "16:25 to 18:00" in the "free time" The weight values at the end of the training are the first weight value and the last weight value on the implementation date "X / 1 2020", respectively. The implementation status detection recording unit 23 writes the detected first weight value in the item of "starting weight" of the training execution result table 251 and writes the detected last weight value in the "end weight" of the training execution result table 251. Write in the item (step S31).

The implementation status detection / recording unit 23 calculates the implementation time achievement rate of each implementation scene such as "meeting" and "lunch break" in the "implementation scene" item of the training implementation result table 251 and calculates the calculated implementation time achievement rate. Write in the item of "implementation time achievement rate" corresponding to each (step S32). For example, in the case of a "meeting", the available time is "2 hours" and the actual time is "1 hour and 10 minutes". The implementation status detection / recording unit 23 divides "1 hour 10 minutes = 70 minutes" by "2 hours = 120 minutes", calculates "58%" as the implementation time achievement rate, and calculates "58%" as "58%". Write in the part corresponding to "Meeting" in the "Implementation time achievement rate" item.

The implementation status detection / recording unit 23 calculates the implementation effect achievement rate of each implementation scene such as "meeting" and "lunch break" in the "implementation scene" item of the training implementation result table 251 and calculates the implementation effect achievement rate. , Write in the item of "implementation effect achievement rate" corresponding to each (step S33). For example, in the case of "meeting", the expected implementation effect is "-0.28 g" and the implementation effect is "-0.1 g". The implementation status detection recording unit 23 divides "-0.1 g" by "-0.28 g", calculates "36%" as the implementation effect achievement rate, and calculates "36%" as the "implementation effect achievement rate". Write in the place corresponding to "Meeting" in the item ".

The implementation status detection / recording unit 23 generates an update instruction signal including the date “X / 1 2020” and the user ID “0001”, and outputs the generated update instruction signal to the execution history update unit 24. The execution history update unit 24 starts the processing of the subroutine of the history update process (step S34).

(History update processing by history update processing department)
FIG. 11 is a flowchart showing the flow of the subroutine of the update process of the training execution result history table 252 by the execution history update unit 24. As shown in FIG. 8, the training implementation result history table 252 shows "user ID", "total period weight loss", "date", "training ID", "time achievement rate", and "total expected effect of implementation". , "Total effect of implementation", "Achievement rate of purpose", "Weight at start", "Weight at end", "Weight loss".

If the training result storage unit 25 does not have the training execution result history table 252 corresponding to the user ID included in the update instruction signal, the training execution result update unit 24 newly generates the training execution result history table 252. The user ID included in the update instruction signal is written in the "user ID" item of the generated training execution result history table 252.

The implementation history update unit 24 sets the date "X / 1 2020" included in the update instruction signal in the "date" item of the training execution result history table 252 corresponding to the user ID "0001" included in the update instruction signal. To write. The implementation history update unit 24 refers to the training implementation result table 251 corresponding to the date "X / 1 2020" and the user ID "0001", and refers to the training ID "Training ID" in the item of the training implementation result table 251. 001 ”is written in the item of“ training ID ”in the training execution result history table 252 (step S41).

The implementation history update unit 24 refers to the training implementation result table 251 corresponding to the user ID "0001" and the date "X / 1 2020", and calculates the total value of the implementable time and the total value of the implementation time. do. The implementation history update unit 24 calculates the total time achievement rate on the implementation date based on the calculated total value of the implementable time and the total value of the implementation time. The implementation history update unit 24 writes the calculated overall time achievement rate in the corresponding portion of the “time achievement rate” item in the training implementation result history table 252 (step S42).

For example, in the case of the training implementation result table 251 shown in FIG. 7, the total value of the implementable time for each implementation scene written in the item of "implementable time" of the training implementation result table 251 is "505 minutes". , The total value of the implementation time for each implementation scene written in the item of "implementation time" is "382 minutes". The implementation history update unit 24 calculates the total value of these two, divides the calculated total value of the implementation time "382 minutes" by the total value of the enable time "505 minutes", and sets the time achievement rate to "76%". Is calculated. The implementation history update unit 24 writes the calculated "76%" in the location corresponding to "April 1, 2020" in the "time achievement rate" item of the training implementation result history table 252.

The implementation history update unit 24 refers to the training implementation result table 251 corresponding to the user ID "0001" and the date "X / 1 2020", and calculates and calculates the total value of the expected implementation effects for each implementation scene. The total value of the expected implementation effect for each implementation scene is written in the corresponding part of the item of "total expected effect of implementation" in the training implementation result history table 252 (step S43).

For example, in the case of the training implementation result table 251 shown in FIG. 7, the total value of the expected implementation effects for each implementation scene written in the item of "expected implementation effect" of the training implementation result table 251 is "-168.12 g". It becomes. The implementation history update unit 24 corresponds the calculated total value of the expected implementation effects "-168.12 g" to "April 1, 2020" in the item "total expected effects of implementation" in the training implementation result history table 252. Write in place.

The implementation history update unit 24 refers to the training implementation result table 251 corresponding to the user ID "0001" and the date "X / 1 2020", calculates the total value of the implementation effects for each implementation scene, and calculates the implementation. The total value of the implementation effect for each scene is written in the corresponding part of the item of "implementation effect total value" in the training implementation result history table 252 (step S44).

For example, in the case of the training implementation result table 251 shown in FIG. 7, the total value of the implementation effects for each implementation scene written in the item of "implementation effect" of the training implementation result table 251 is "-180.8 g". .. The implementation history update unit 24 puts the calculated total value of the implementation effect "-180.8 g" in the location corresponding to "April 1, 2020" in the "total implementation effect value" item of the training implementation result history table 252. Write.

The implementation history update unit 24 calculates the objective achievement rate based on the calculated total value of the expected implementation effects and the total value of the implementation effects, and uses the calculated objective achievement rate as the “purpose achievement” in the training implementation result history table 252. Write in the corresponding part of the item of "rate" (step S45).

As described above, in the case of "X / 1 2020", the total value of the expected implementation effect is "-168.12 g", and the total value of the implementation effect is "-180.8 g". The implementation history update unit 24 divides "-180.8 g" by "-168.12 g" to calculate "108%" as the target achievement rate. The implementation history update unit 24 writes "108%" in the place corresponding to "April 1, 2020" in the item of "purpose achievement rate" in the training implementation result history table 252.

The implementation history update unit 24 sets each of the weight values written in the "start weight" item and the "end weight" item of the training implementation result table 251 to the "start weight" of the training implementation result history table 252. And write in the corresponding parts of the "End weight" item. The implementation history update unit 24 subtracts the weight value at the start from the weight value at the end, and puts the weight loss obtained by the subtraction in the corresponding part of the item of "weight loss" in the training execution result history table 252. Write (step S46).

In the case of the training implementation result table 251 shown in FIG. 7, the weight value of the item of "starting weight" in the training implementation result table 251 is "63.5 kg", and the weight value of the item of "end weight" is It is "63.0 kg". The implementation history update unit 24 has "63.5 kg" and "63. Write "0 kg". The implementation history update unit 24 subtracts the weight value "63.5 kg" at the start from the weight value "63.0 kg" at the end, and "-0.5 kg" obtained by the subtraction is the training execution result history table 252. Write in the part corresponding to "April 1, 2020" in the "Weight loss" item of.

The implementation history update unit 24 calculates the total period weight loss amount, and writes the calculated total period weight loss amount in the item of "total period weight loss amount" in the training implementation result history table 252. For example, when the implementation date is "X / 15th, 2020", the implementation history update unit 24 has a weight value "62.0kg" in the item of "weight at the end" corresponding to "X / 15th 2020". Is read out as the latest weight value. The implementation history update unit 24 uses the weight value "63.5 kg" of the "starting weight" item of "X / 1 2020", which is the first day recorded in the training implementation result history table 252, as the first day weight value. read out. The implementation history update unit 24 subtracts the first day weight value "63.5 kg" from the latest weight value "62.0 kg", and adds "-1.5 kg" obtained by the subtraction to the "total" of the training implementation result history table 252. Write in the item "Period weight loss" (step S47). The execution history update unit 24 ends the subroutine of the history update process of FIG. 11, and ends the process of the flowchart shown in FIG.

By referring to the training implementation result table 251 thus obtained, the user can know the achievement status of the training in one day and the achievement status of the target weight loss amount, and the training implementation result history table. By referring to 252, the user can know the achievement status of the daily training and the achievement status of the target weight loss amount.

(Processing for updating expected effect parameters)
The parameter update unit 26 includes, for example, " The implementation time shown in the item of "implementation time" and the amount of weight loss shown in the item of "implementation effect" are extracted. The parameter update unit 26 calculates the average amount of weight loss per unit time based on the combination of the plurality of execution times and the amount of weight loss extracted for each implementation content. The parameter update unit 26 calculates the expected implementation effect parameter written in the item of "expected implementation effect parameter" for each implementation content in the training content table 171 for each implementation content, and calculates the average weight loss per unit time. Rewrite to quantity and update. As a result, the expected implementation effect parameter can be set to a more realistic value, and a more accurate expected implementation effect can be shown.

(Additional processing of training menu)
The training content addition unit 27 refers to the training execution result history table 252 of each user at regular intervals of, for example, several weeks or one month, and includes a training menu effective for each user. The training ID is detected together with the user ID. The training content addition unit 27 adds the training menu corresponding to the training ID to the training content table 171 as a training menu dedicated to the user corresponding to the user ID, based on the combination of the detected user ID and the training ID.

For example, when the training execution result history table 252 shown in FIG. 8 is obtained, the training menu corresponding to the training ID having a high time achievement rate is said to be an easy and effective training menu for the user with the user ID "0001". be able to. For example, it is assumed that the time achievement rate is averaged for each training ID, and the time achievement rate of the training ID "002" is higher than that of other training IDs. In this case, the training content addition unit 27 adds a new training menu including the training menu with the training ID “002” to the training content table 171 as “weight loss 6” and training ID “006” as shown in FIG. do. In the added training ID "006", the training content addition unit 27 writes "user ID" 0001 "" in the "condition" item. As a result, it is possible to add a training menu dedicated to the user that is valid for the user with the user ID "0001", and the training ID "006" is extracted only for the user with the user ID "0001" and the user presentation information 131. Will be displayed in.

Further, instead of the time achievement rate, the purpose achievement rate of the training implementation result history table 252 may be used as a reference. Since the training menu corresponding to the training ID having a high goal achievement rate can be said to be an effective training menu capable of losing more weight for the user with the user ID "0001", the training ID having a high goal achievement rate is selected. It may be added as a user-only training menu. In addition, a training ID that is valid for the user may be selected based on both the time achievement rate and the goal achievement rate.

Further, the numerical value of the item of "implementation expected effect parameter" of the added training menu may be set to a more realistic numerical value for the user of the user ID "0001". For example, the training content addition unit 27 is shown in the item of “execution time” for each type of implementation content included in the training ID “006” from the past plurality of training execution result tables 251 of the user ID “0001”. Extract the time and the amount of weight loss shown in the "Implementation effect" item. The training content addition unit 27 calculates the average amount of weight loss per unit time based on the combination of the plurality of implementation times and the amount of weight loss extracted for each implementation content. The training content addition unit 27 calculates the average implementation expected effect parameter written in the item of "implementation expected effect parameter" for each implementation content of the training ID "006" in the training content table 171 for each implementation content. Rewrite and update the amount of weight loss per unit time. As a result, the expected implementation effect parameter of the training ID "006" can be set to a more realistic value, and a more accurate expected implementation effect can be shown.

The training content addition unit 27 does not use the training menu set included in the existing training ID as it is as the training menu set of the new training ID, but uses the following method to create a new training menu. You may want to generate a set of. That is, the training content addition unit 27 refers to the training implementation result table 251 and selects an implementation scene that is effective for the user, for example, an implementation scene with a high implementation time achievement rate, and further achieves the implementation effect in the selected implementation scene. A new set of training menus may be generated by selecting the implementation content with a high rate. As a result, it is possible to generate an optimum training menu having a high implementation time achievement rate and a high implementation effect achievement rate for the user. Further, regarding the execution expected effect parameter of the new training menu set generated in this way, the training content addition unit 27 calculates a realistic implementation expected effect parameter from the past training execution result table 251 of the user. You may do so. By writing the calculated implementation prediction effect parameter in the item of "implementation effect parameter" of the new training menu set, it is possible to show a more accurate implementation prediction effect.

In addition, based on the information recorded in the training implementation result table 251 and the training implementation result history table 252, a more realistic implementation effect parameter can be calculated by the learning function of artificial intelligence, and a more effective training menu for the user. May be generated to update the information in the training content table 171.

In the configuration of the above embodiment, the user inputs the weight value before and after one training menu, but when it is difficult to always measure the weight, at least all the training is started. You may want to measure twice, before you do it and after you finish all the training. In this case, the item of "implementation effect" in the training implementation result table 251 is blank. Therefore, the item of "implementation effect achievement rate" in the training implementation result table 251 is also blank, and the numerical values to be written in the items of "implementation effect total value" and "purpose achievement rate" of the training implementation result history table 252 cannot be obtained. Become. Therefore, in this case, the daily purpose achievement rate and the like cannot be referred to, and the implementation effect parameter update process cannot be performed by the parameter update unit 26, but the implementation time achievement rate of the training implementation result table 251 and the training implementation cannot be performed. Since the time achievement rate, the weight loss amount, and the total period weight loss amount in the result history table 252 can be referred to, the degree of achievement of the target can be confirmed from these values.

Further, when the training shown in the selection information 131-1 shown in FIG. 6 is performed, all the time from 9:00 to 18:00 is allocated to any of the trainings. Therefore, the weight value at the end of the training between "9:00 to 10:00" in the "free time" and the start of the training between "10:00 to 11:00" in the next "meeting" The weight values of are the same. In this way, when the time is continuous, in the flowchart of FIG. 10, the weight value at the end obtained in step S28 is used for the next training without performing the second and subsequent steps S21 to S23. The process may be regarded as the weight value at the start.

Further, in the above embodiment, the implementation date is set to the date of the day when the training is performed, but it may be a scheduled date, that is, a future date.

Further, in the above embodiment, since the training target requested by the user is "weight loss", the weight scale 4 is used, but for example, a measuring instrument for measuring calories burned may be used. However, if the goal of the training is "strengthening the legs and hips" and "strengthening the abdominal muscles", a measuring instrument for measuring muscle mass may be used. In this case, the target index acquisition unit 22 acquires numerical values of calories burned and muscle mass instead of the body weight value.

Further, in the above embodiment, the training result storage unit 25 stores the training execution result table 251 and the training execution result history table 252. However, instead of the training result storage unit 25, the training execution result is stored. Even if a storage unit and a training execution result history storage unit are provided, the training execution result storage unit stores the training execution result table 251 and the training execution result history storage unit stores the training execution result history table 252. good.

Further, the schedule information 40 may include information indicating the type of the conference room in which the meeting is held. The type of conference room in this case corresponds to a feasible training menu, such as a standing conference room, a balance ball conference room, and the like. A standing conference room is a type of conference room in which a conference can be held while standing upright. A balance ball conference room is a type of conference room in which a conference can be held while sitting on a balance ball. For example, the user sets up a meeting in a conference room of a type that can carry out a training menu that matches the training purpose requested by the user, depending on the situation. The situation here is, for example, a condition that the conference is hosted by the user himself / herself, the user takes on the role of reserving the conference room, and the desired conference room can accommodate the number of people who participate in the conference.

The training content extraction unit 13 sets the implementation content in the user presentation information 131 according to the type of the conference room set in the meeting. For example, when the implementation scene is "meeting in a standing meeting room", the training content extraction unit 13 sets the implementation content to "stand without sitting on a chair". Alternatively, when the implementation scene is a "meeting in a balance ball conference room", the training content extraction unit 13 sets the implementation content to "sit on a balance ball".

The training content presentation device 1 in the above-described embodiment may be realized by a computer. In that case, the program for realizing this function may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read by the computer system and executed. The term "computer system" as used herein includes hardware such as an OS and peripheral devices. Further, the "computer-readable recording medium" refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, or a CD-ROM, or a storage device such as a hard disk built in a computer system. Further, a "computer-readable recording medium" is a communication line for transmitting a program via a network such as the Internet or a communication line such as a telephone line, and dynamically holds the program for a short period of time. It may also include a program that holds a program for a certain period of time, such as a volatile memory inside a computer system that serves as a server or a client in that case. Further, the above program may be for realizing a part of the above-mentioned functions, and may be further realized for realizing the above-mentioned functions in combination with a program already recorded in the computer system. It may be realized by using a programmable logic device such as FPGA (Field Programmable Gate Array).

Although the embodiments of the present invention have been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and includes designs and the like within a range that does not deviate from the gist of the present invention.

1 ... Training content presentation device, 2 ... Schedule information server device, 3 ... Mobile terminal device, 4 ... Weight scale, 5 ... Communication network, 11 ... Purpose identification information acquisition unit, 12 ... Schedule information acquisition unit, 13 ... Training content extraction Department, 14 ... Route search unit, 15 ... Selection information acquisition unit, 16 ... User information storage unit, 17 ... Training content storage unit, 20 ... Position information acquisition unit, 21 ... Biological information acquisition unit, 22 ... Purpose index acquisition unit, 23 ... Implementation status detection recording unit, 24 ... Implementation history update unit, 25 ... Training result storage unit, 26 ... Parameter update unit, 27 ... Training content addition unit, 100 ... Training content presentation system

Claims (8)

The purpose identification information acquisition unit that acquires the purpose identification information indicating the purpose of the training requested by the user,
The schedule information acquisition unit that acquires the schedule information indicating the action schedule during the working hours of the user,
A training content storage unit that stores in advance a training menu in which the implementation scene in which the training is performed and the training implementation content to be implemented in the implementation scene are associated with each purpose identification information.
A training content extraction unit that extracts and presents the training menu according to the user's purpose and action schedule from the training content storage unit based on the purpose identification information and the schedule information.
Training content presentation device equipped with. The training content storage unit
The training menu corresponding to the attribute information indicating the user's attribute is stored in advance.
The training content extraction unit
Based on the purpose identification information, the schedule information, and the attribute information, the training menu according to the user's purpose, action schedule, and attributes is extracted from the training content storage unit and presented.
The training content presentation device according to claim 1. The training content storage unit
The purpose identification information includes a plurality of sub-purpose identification information, and at least one or more of the training menus are stored in advance for each of the sub-purpose identification information.
The training content extraction unit
Based on the purpose identification information and the schedule information, the training menu corresponding to the purpose and action schedule of the user and corresponding to a plurality of the sub-purpose identification information included in the purpose identification information. Is extracted from the training content storage unit and presented.
The training content presenting device according to claim 1 or 2. Equipped with a route search unit that searches for routes
The training content extraction unit
When the schedule information includes an action schedule for a single movement, the route search unit is made to search for the route at the time of the movement, and the movement on foot is performed in the route searched by the route search unit. A route including the above is selected, and the selected route and the training menu corresponding to the movement alone are presented.
The training content presenting device according to any one of claims 1 to 3. The training menu further includes an expected effect parameter per unit time indicating the expected effect of the training to be performed.
The training content extraction unit
For each training menu, the expected implementation effect according to the action schedule of the user is calculated based on the expected implementation effect parameter, and the calculated expected implementation effect for each training menu is presented.
The training content presenting device according to any one of claims 1 to 4. A training execution result storage unit that stores information indicating the execution effect of each of the training menus of the user, and a training execution result storage unit.
A parameter update unit that updates the expected implementation effect parameter for each training menu based on the information indicating the implementation effect for each training menu stored in the training execution result storage unit.
The training content presentation device according to claim 5. A training execution result history storage unit that stores the history of the user's execution results, and
Based on the history of the execution result of the user stored in the training execution result history storage unit, the training menu effective for the user is extracted, and the extracted training menu is used to identify the purpose requested by the user. A training content addition unit that is associated with information and stored in the training content storage unit as a new training menu for the user,
5. The training content presenting device according to claim 5 or 6. For each purpose identification information indicating the purpose of the training requested by the user, the training menu in which the implementation scene of the training and the implementation content of the training to be implemented in the implementation scene are associated with each other is stored in the training content storage unit in advance. Let me
The purpose identification information acquisition unit acquires the purpose identification information and
The schedule information acquisition unit acquires the schedule information indicating the action schedule during the working hours of the user, and obtains the schedule information.
The training content extraction unit extracts and presents the training menu according to the user's purpose and action schedule from the training content storage unit based on the purpose identification information and the schedule information.
Training content presentation method.

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