WO2017022013A1 - Health management server, health-management-server control method, and health management program - Google Patents

Health management server, health-management-server control method, and health management program Download PDF

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Publication number
WO2017022013A1
WO2017022013A1 PCT/JP2015/071804 JP2015071804W WO2017022013A1 WO 2017022013 A1 WO2017022013 A1 WO 2017022013A1 JP 2015071804 W JP2015071804 W JP 2015071804W WO 2017022013 A1 WO2017022013 A1 WO 2017022013A1
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WIPO (PCT)
Prior art keywords
health management
health
unit
information
target person
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PCT/JP2015/071804
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French (fr)
Japanese (ja)
Inventor
勇児 溝口
充則 南野
怜 阪本
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株式会社ＦｉＮＣ
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Priority to PCT/JP2015/071804 priority Critical patent/WO2017022013A1/en
Priority to JP2016555796A priority patent/JP6244476B2/en
Publication of WO2017022013A1 publication Critical patent/WO2017022013A1/en

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Definitions

  • the present invention relates to a health management server, a health management server control method, and a health management program, and more particularly to a health management server, a health management server control method, and a health management program capable of estimating future physical information and appearance.
  • the expert checks the food consumed by the client (person subject to health care) and the current health status from an online terminal, and creates a message for guidance based on the confirmation result. Need to send a message to the client's online terminal.
  • a client can notify, report, transmit, and transmit his / her physical condition information and the like via the Internet, etc.
  • a system that can always share the status information with medical personnel is disclosed.
  • this technology is configured to display a warning message when the physical condition exceeds a certain threshold value.
  • Patent Document 2 discloses a system for analyzing a client's life pattern based on sensor data recording the life pattern. In addition, this technology discloses a technology for analyzing sensor data and generating a life pattern feature amount of a client.
  • JP 2014-032440 A Japanese Patent No. 5466713
  • an object of the present invention is to provide a server capable of supporting providing advice with understanding and continuity of use that does not become a burden on a health care target person.
  • a health management server is a health management server connected via a network to a terminal owned by a health care target person, and selected from the plurality of health care curriculum information by the health care target person
  • a receiving unit that receives one curriculum information from the terminal, a storage unit that stores a behavior pattern of a health care target person, and an action pattern stored in the storage unit, with the curriculum information output from the receiving unit,
  • the analysis unit that analyzes the continuation pattern when the behavior based on the curriculum information is continued and the stagnation pattern when the behavior based on the curriculum information stagnate, and the behavior pattern of the health management subject analyzed by the analysis unit Based on the artificial intelligence department that estimates the physical information and appearance of the future health management subject, and the physical information that the artificial intelligence department has estimated
  • a generation unit for generating appearance, the body information and the appearance generated by the generating unit, a transmission unit for transmitting an image or phrase to the terminal.
  • the current physical information of the health management target person is stored in the storage unit, and is recommended by the artificial intelligence unit using the current physical information output from the storage unit.
  • the physical information and the appearance may be estimated, and a health care curriculum may be transmitted to the terminal.
  • the current physical information of the health management target person is stored in the storage unit, and is recommended by the artificial intelligence unit using the current physical information output from the storage unit.
  • the physical information and the appearance may be estimated, and a health care curriculum may be transmitted to the terminal.
  • the analysis unit can statistically analyze a high level pattern having a higher level of behavior than the stagnation pattern, and the artificial intelligence unit If it is assumed that the user has acted as a pattern, the physical information and the appearance of the health management subject predicted in the future may be estimated.
  • the analysis unit can statistically analyze a current current pattern of the health management target person, and the artificial intelligence unit performs the behavior of the current pattern on the health management target person. If it is assumed that the physical information and the appearance of the health management subject predicted in the future may be estimated.
  • the health management server further includes a calculation unit that calculates a usage frequency of the health management service delivered to the terminal by the health management target, and a behavior pattern level based on the usage frequency. It may be provided with a determination unit for determining whether or not.
  • the storage unit stores a past behavior pattern of the health management target person
  • the artificial intelligence unit is based on the past behavior pattern output from the storage unit
  • the personality of the health care target person can be estimated
  • the generation unit can generate recommended images and sentence examples based on the physical information and appearance of the health care target person.
  • the validity of the sentence example may be determined by comparing the generated image and personality, and the sentence example to be recommended may be regenerated by the generation unit.
  • a sentence example regenerated by the health management server may be acquired and fed back to the artificial intelligence unit.
  • the health management server determines whether or not the health manager has acted based on the generated sentence example, acquires the determination result, and feeds back to the artificial intelligence unit. It may be a thing.
  • a terminal held by a health care target person has a grouping terminal including a plurality of terminals grouped in advance, and the receiving unit transmits from each terminal constituting the grouping terminal.
  • the health management server further includes a reception unit that receives the generated sentence example, image, and evaluation to be transmitted to each terminal, and the generation unit A terminal that receives the same, similar, or opposite sentence example generated by the management server within a predetermined time is identified from the grouping terminals, and the health management target person who owns the identified terminal is set as the comparison target person.
  • a health management server control method is a health management server control method that is connected to a terminal of a health care target person via a network, and is a health care target person from a plurality of health care curriculum information.
  • a receiving step for receiving the curriculum information selected by the terminal from the terminal, a storing step for storing the action pattern of the health care target person accompanying the curriculum information output from the receiving step, and an action pattern stored in the storing step.
  • the analysis step to analyze the continuation pattern when the action based on the curriculum information is continued and the stagnation pattern when the action based on the curriculum information is stagnant, and the health management target person analyzed in the analysis step Estimate the physical information and appearance of future health care subjects based on behavior patterns
  • the health management program is a health management program connected to a terminal of a health care target person via a network, and the health care target person is selected from a plurality of health care curriculum information on a computer.
  • a reception function for receiving the selected one curriculum information from the terminal, a storage function for storing the behavior pattern of the health care target person associated with the curriculum information output from the reception function, and an action pattern stored in the storage function,
  • An analysis function that analyzes the continuation pattern when the action based on the curriculum information is continued, and the stagnation pattern when the action based on the curriculum information stagnate, and the behavior of the health management subject analyzed by the analysis function
  • Artificial intelligence function to infer the physical information and appearance of future health management subjects based on patterns It is intended to include a generating function for generating a physical information and appearance artificial intelligence function is guessed, the body information and the appearance generated by the generating function and a transmission function for transmitting an image or phrase to the terminal.
  • a plurality of sentence examples to be recommended are automatically generated from the diet (health management subject) of the client (health management subject) and the action pattern.
  • the health management server, the health management server control method, and the health management program according to the present invention can transmit an appropriate sentence example corresponding to the personality of the health manager to the health manager.
  • the health management server, the health management server control method, and the health management program according to the present invention are equipped with artificial intelligence, and estimate the body information and appearance for each behavior pattern of the client, And the appearance can be transmitted to the client terminal as an image or sentence.
  • an appropriate advice message can be transmitted to a terminal held by a client at an appropriate timing.
  • an object of the present invention is to provide a server capable of supporting providing advice with understanding and continuity of use that does not become a burden on a health care target person. By sending written advice messages and future physical information and appearance, it is possible to provide an online health guidance service with understanding and continuity of use.
  • System diagram showing system configuration of health management system Block diagram showing the functional configuration of the health management server Chart showing an example of data stored in the server Flow chart showing an example of the operation of a server with artificial intelligence
  • Schematic diagram showing a display example displayed on the terminal of a health care target person Conceptual diagram showing correction of tasks recommended for health care subjects
  • Schematic diagram showing an example of genetic testing algorithm Schematic diagram showing an example of blood test algorithm
  • FIG. 1 is a system diagram showing a system configuration of a health management system.
  • the health management system includes a health management server 100 and a plurality of user terminals 200 and 300.
  • the health management server 100 is connected to the user terminal 200 and the user terminal 300 via the network 400.
  • FIG. 1 only two user terminals are shown for ease of explanation, but it goes without saying that there may be more user terminals.
  • specific devices of both the user terminal 200 and the user terminal 300 are not limited to a mobile terminal and a personal computer (PC) as illustrated, and may be, for example, a smartphone, a tablet terminal, or other electronic devices. Good.
  • the user terminal 200 indicates a terminal held by a health care target person
  • the user terminal 300 indicates a terminal held by an expert. Then, the meal taken by the health management subject himself / herself is photographed, and the photographed meal image is transmitted from the user terminal 200 to the health management server 100.
  • the health management server 100 analyzes the behavior pattern of the health management target person based on the number of times the meal image is received, and estimates the future physical information and appearance of the health management target person based on the analysis result. To do. Then, the physical information and the appearance are displayed and output on the user terminal 300. The health management server 100 generates recommended images and sentence examples to be transmitted to the health care target person from the displayed physical information and appearance. The generation unit 140 executes generation of recommended images and sentence examples.
  • the health management server 100 is instructed for health management by transmitting the advice message generated by the health management server 100, the warning, and the sentence example as the evaluation to the user terminal 200.
  • indication may be performed for every health management object person, and a health care object person may be grouped and you may instruct
  • grouping refers to grouping for performing group guidance for a plurality of health care subjects.
  • the sentence examples correspond to advice messages, warnings, evaluations, various recommended tasks, and postings and questions of health management subjects generated by the health management server 100 based on the analysis result of the behavior pattern.
  • the image includes a data table relating to physical information, the appearance of the health care target person, an activity history data table, analysis result data, and the health management server 100 along with an advice message, Or illustrations sent separately.
  • FIG. 2 is a block diagram illustrating functional configurations of the server 100, the user terminal 200, and the user terminal 300.
  • the server 100 includes a receiving unit 110, a receiving unit 120, a storage unit 130, an analysis unit 140, an artificial intelligence unit 150, a generation unit 160, and a transmission unit 170.
  • the receiving unit 110 receives one curriculum information selected by the health care target person from among a plurality of health care curriculum information from a terminal (user terminal 200) held by the health care target person.
  • the receiving unit 110 also receives meal images and body information transmitted from the user terminal 200 via the network 400.
  • a sentence example such as an illustration image, an advice message, a warning, or an evaluation is transmitted from the user terminal 300
  • the illustration image, the sentence example, and the evaluation are received.
  • Communication in these transmission / reception may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.
  • the reception unit 120 has a function of receiving illustration images, sentence examples, and evaluations generated by the health management server 100 as items to be transmitted to the user terminal 200 or the user terminal 300.
  • the illustration image, the sentence example, and the evaluation may be plural or singular.
  • the reception unit 120 has a function of receiving one health management curriculum information selected by the health management target person received by the reception unit 110.
  • the health management curriculum information may be configured to be selected by the health management server 100 based on the physical information and activity history information of the health management target person described later.
  • the storage unit 130 stores the behavior pattern of the health management subject along with the health management curriculum information.
  • the storage unit 130 stores sentence example information including a plurality of sentence examples.
  • the storage unit 130 stores image information including a plurality of images.
  • the storage unit 130 is typically realized by various recording media such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), and a flash memory.
  • the analysis unit 140 uses the behavior pattern stored in the storage unit 130 as the continuation pattern when the behavior based on the health management curriculum information is continued and the stagnation pattern when the behavior based on the health management curriculum information is stagnant. And analyze. For example, the analysis unit 140 analyzes each pattern in consideration of the activity history information of the health management service of the health management target person accompanying the health management curriculum information. Count the number of uses for a certain period, calculate the ratio of the number of times the health care target person used (accessed) the health care service for a certain period, determine the usage frequency, and if it is above a certain percentage, continue pattern Analyzes that The image information and sentence example information transmitted from the user terminal 200 received by the receiving unit 120 is transmitted to the analysis unit 140 via the storage unit 130. Accordingly, the analysis unit 140 calculates the ratio of the number of times that the health management target person has used the health management service in a certain period.
  • the ratio of the number of times the health management target person used the health management service is, for example, the number of chats, the number of inquiries to experts, the purchase history of health foods such as supplements, health appliances, training machines, login times, advertisements / information You may judge by the click rate (CTR) etc. to a website.
  • CTR click rate
  • the artificial intelligence unit 150 estimates the physical information and the appearance of the health management subject predicted in the future based on the behavior pattern of the health management subject analyzed by the analysis unit 140.
  • the body information and the appearance are estimated based on the body information input in advance by the health management subject and the analyzed behavior pattern.
  • the physical information of the subject of health management refers to information about the body from both the subjective and objective aspects of the subject of health management, including medical / test data and biological information / life log information.
  • Medical / laboratory data is related to medical / testing such as genetic information, blood test results, medical examination data (including height, weight, sex, age, etc.), lifestyle data, calorie intake per day, family history, and receipt data. The data that you want to do.
  • the biological information / life log information refers to information related to the living body and life cycle, such as heart rate / pulse, blood pressure, number of steps / activity, meal time / content, sleep / sleep time, physical condition / mood.
  • the artificial intelligence unit 150 calculates a prediction of the implementation effect of the health care curriculum for the health care target person based on the physical information transmitted in advance from the health care target person and the behavior pattern analyzed by the analysis part 140. Based on the current physical information, when the behavior pattern analyzed by the analysis unit 140 is continuously performed for a certain period, the predicted physical information and appearance are estimated in the future.
  • the storage unit 130 is configured to include medical / examination data and biometric information / life log transmitted from the user terminal 200 to the health management server 100 when the health management target person inputs. Body information is stored. As the physical information, both current and estimated physical information are accumulated. The stored data is configured so that the health care target person and the expert can display the data on the display units 180 and 190 at any time for browsing. Thereby, the expert can send a more appropriate advice message and warning to the health care target person based on the past, present, and future accumulated data. The storage unit 130 also stores the activity history information of the above-described health care target person.
  • the generation unit 160 generates the body information and the appearance estimated by the artificial intelligence unit 150 as an image or a sentence example.
  • the artificial intelligence unit 150 can also generate the physical information and the appearance as images and sentence examples.
  • the exercise information accompanying the body information and the action pattern is displayed in a graph, accumulated, or the analysis result of the action pattern analyzed by the analysis unit 140 is displayed and output.
  • the information is edited and added to the user terminal 200 by adding comparison information with rivals, which will be described later, or adding advice messages, warnings and evaluations based on physical information and appearance information estimated by the artificial intelligence unit 150. Generate offer data to send.
  • the health management server 100 may have a function of calculating the usage frequency of the advice message and warning as the above sentence example. Further, the health management server 100 may be configured to calculate the use frequency of images (illustrations and the like). The calculation is performed by a calculation unit (not shown). The calculation unit may be provided in the analysis unit 140 or may be provided separately in the health management server 100. Specifically, the calculation unit counts up using the generation of an image or sentence example recommended by the health management server 100 as a trigger.
  • the calculation unit may calculate the frequency of activity history of the health management service. Specifically, the calculation unit counts up with the information indicating the activity history of the health management subject being received by the reception unit 110 as a trigger.
  • calculation unit may count up the use frequency for each health care curriculum of the health care target person and reset it when the curriculum is completed.
  • the transmission unit 170 transmits the body information and the appearance generated by the generation unit 160 to the user terminal 300 as image information or sentence example information.
  • the transmitting unit 170 transmits image information or sentence example information as provided data to the user terminal 300, and also transmits the provided data to the user terminal 200 so that a health care target person can view it.
  • the health management target person can see the results of his / her health activities, evaluations by specialists such as doctors, comparisons with rivals, and the like, and has the effect of confirming the results of his / her health activities.
  • the health management target person can increase the motivation of the exercise behavior.
  • the user terminal 300 includes a display unit 180.
  • the display unit 180 communicates with the health management server 100 via the network 400 and receives image information transmitted from the user terminal 200 of the health management target person received from the health management server 100, a plurality of sentence examples, and a health management target.
  • the activity history information of the user and the past usage history information of the sentence examples are displayed and output.
  • the display unit 180 displays and outputs the physical information and the appearance of the health management subject predicted in the future as an image.
  • you may comprise so that the physical information and the appearance which are predicted in the future of a health care object person may be displayed and output as a sentence example.
  • the user terminal 200 is also provided with a display unit 190, and the display unit 190 is configured to display and output image information or sentence example information transmitted from the health management server 100.
  • the display unit 190 may be configured to display and output advice messages, warnings, and evaluations from the user terminal 300 via the health management server 100.
  • the display unit 190 displays and outputs information related to the comparison target person when the health management target person is grouped and the comparison target person is determined. Specifically, the display is output such as “Mr. XX is the current rival”.
  • the display unit 190 identifies an image (illustration, etc.) and a sentence example (advice message, warning, evaluation, etc.) transmitted to the comparison subject within a predetermined time together with the display output of the comparison subject.
  • an image and the sentence example are displayed and output, information on the specified sentence example is displayed and output.
  • a message such as “Sent to rival XX” is displayed and output directly under the target sentence.
  • the information may be transmitted from the health management server 100 to the user terminal 200 and the user terminal 300, or the user terminal 300 may be configured to transmit to the user terminal 200 synchronously or asynchronously. .
  • FIG. 4 is a flowchart showing an example of the operation of the health management server 100.
  • the receiving unit 110 receives the health management curriculum information sent from the user terminal 200 of the health management target person as image information or sentence example information (step S11).
  • the receiving unit 110 transmits the received image information or sentence example information to the receiving unit 120.
  • the accepting unit 120 accepts the curriculum information of one health management selected by the health care target person received by the receiving unit 110 (step S12).
  • the reception unit 120 transmits the curriculum information to the analysis unit 140. If the result of the health management curriculum is unsatisfactory or if it is preferable to change the curriculum based on physical information or activity history information, the health management server 100 or a specialist may select the curriculum.
  • the analysis unit 140 analyzes the behavior pattern of the health management target person associated with the curriculum information (step S13). The analysis is performed based on activity history information of health management services by health management subjects.
  • the artificial intelligence unit 150 estimates the body information and the appearance of the health management target person predicted in the future based on the physical information of the health management target person transmitted from the user terminal 200 and the behavior pattern analyzed by the analysis unit 140. (Step S14). The artificial intelligence unit 150 transmits to the generation unit 160 the body information and the appearance information of the health management subject predicted in the future.
  • the generation unit 160 determines whether the health management target person is grouped, and when the group is grouped (YES in Step S15), the group that transmits the same, similar, or opposite sentence examples within a predetermined time.
  • the other health management target person is determined as a comparison target person as a rival or a target person, and information on the determined comparison target person is displayed and output on the display unit 190 (step S16).
  • a sentence example transmitted within a predetermined time to a rival person among the comparison target persons is specified, and information on the specified sentence example is displayed and output on the display unit 190 (step S17). This information is also transmitted to the user terminal 300 and displayed on the display unit 180.
  • the generation unit 160 further generates an image and a sentence to be recommended based on the estimated physical information and appearance information of the health management target person to be transmitted to the specialist and the health management target (step S18).
  • the generation unit 160 may be configured to generate either the image or the sentence example.
  • the accepting unit 170 accepts the generated body information, the image as the appearance, and the sentence example as to be transmitted to the specialist and the health management server 100 (step S19).
  • the transmitting unit 170 transmits an image and a sentence example as a physical information appearance of a health care target person predicted in the future to the user terminal 200 and the user terminal 300 as to be transmitted (step S20).
  • the transmission unit 170 may be configured to transmit either the image or the sentence example to the transmission user terminal 200 and the user terminal 300.
  • image information, sentence example information, or the like is transmitted from the transmission unit 170 to the user terminal 300, the expert supplements the sentence example with an advice message or warning, and transmits the advice message or warning to the user terminal 200 via the health management server 100.
  • You may comprise as follows. The above is the description of an example of the operation of the health management server 100 including the artificial intelligence unit 150.
  • FIG. 5 is a conceptual diagram showing an example of the physical information and appearance of a future health care target person displayed on the user terminal 200.
  • the future health manager's appearance and body information estimated by the artificial intelligence unit 150 is displayed on the display unit 190.
  • the current and future appearance and physical information are also displayed on the display unit 180 of the user terminal 300.
  • the health management server 100 generates an advice message or warning as a sentence example together with the current and future appearance and physical information, or transmits the advice message to the user terminal 200 and the user terminal 300, thereby providing a health management target person.
  • Guidance for health management As the body information, for example, weight, blood test information, chest circumference, BMI index, and the like are displayed.
  • the expert selects an appropriate advice message from a plurality of sentence examples generated by the health management server 100 based on the appearance and physical information, and transmits the advice message to the user terminal 200, so that the health management target person can receive health management. It may be configured to provide guidance for. Considering postings such as behavior patterns based on activity history, disturbance in eating habits derived from image information, lack of sleep transmitted from user terminal 200, stress, etc. Then, the health management target person is instructed for health management. For example, “Mr. XX is diagnosed with metabolic syndrome (visceral fat syndrome) if the situation continues, and there is a risk of developing lifestyle-related diseases such as diabetes, hyperlipidemia, and hypertension in the future. By sending a warning message such as “health management subjects can be motivated to exercise.
  • metabolic syndrome visceral fat syndrome
  • the health management curriculum will follow the guidance of experts.
  • the advice message is transmitted to the user terminal 200, so that the health management subject can be motivated to exercise.
  • the artificial intelligence unit 150 can estimate future physical information and appearance when the health management curriculum is executed as instructed, and can transmit the physical information and appearance together with an advice message. Thereby, the motivation of the exercise behavior of the health management subject can be further enhanced.
  • the health management curriculum selected by the health care target person is judged to be inappropriate from the current physical information of the health care target person, and evaluated, the current physical information output from the storage unit 130 is used.
  • the body information and appearance recommended by the artificial intelligence unit 150 are estimated, and a health care curriculum is transmitted to the user terminal 200.
  • This determination and evaluation is executed by the analysis unit 140. Accordingly, it is possible to select an appropriate health management curriculum from the current physical information of the health management target person without depending on the intention of the health management target person.
  • the new health management curriculum may be transmitted to the user terminal 200 by the health management server 100, or an expert may be configured to transmit from the user terminal 300 to the user terminal 200.
  • the analysis unit 140 can statistically analyze a high level pattern having a higher level of behavior than the stagnation pattern in which the behavior based on the curriculum information of health management is stagnant. Then, when it is assumed that the health management target person has performed a high-level pattern, the artificial intelligence unit 150 can also estimate the body information and the appearance of the health management target person predicted in the future. Whether or not the behavior pattern is a stagnation pattern or a high-level pattern is analyzed using, for example, the ratio of the usage frequency associated with the activity history of the health care service. If the ratio is above a certain threshold, it is analyzed as a high-level pattern. Moreover, you may include on condition that a high level pattern is a continuation pattern. This analysis is performed by the analysis unit 140.
  • the body information and the appearance predicted in the future when the behavior of the high level pattern is performed are transmitted to the user terminal 200, so that It is possible to promote the behavior of the standard pattern. Further, the level of the behavior pattern can be determined based on the use frequency. This determination is performed by the analysis unit 140.
  • the health management target person can recognize the physical information and the appearance that are predicted in the future when the current action pattern (hereinafter referred to as “current pattern”) is continuously executed.
  • the estimation of the body information and the appearance predicted in the future is executed by the artificial intelligence unit 150, and the contents are transmitted to the user terminal 200.
  • the information is also transmitted to the user terminal 300.
  • Images and sentence examples generated based on past action patterns are stored in the storage unit 130, and based on the accumulated data, statistical analysis of images and sentence examples generated in the past for similar action patterns is executed by the analysis unit 140. You may comprise. Alternatively, past accumulated data is fed back to the artificial intelligence unit 150 from the storage unit 130 via the analysis unit 140 or directly from the storage unit 130, and the artificial intelligence unit having a learning function based on these accumulated data 150 may be configured to generate appropriate images and sentence examples.
  • the artificial intelligence unit 150 can estimate the personality of the health care target person based on the past action pattern output from the storage unit 130.
  • the health management server 100 can infer the personality of the health care manager from not only the questionnaire result of the health care manager but also the behavior pattern associated with the activity history when the health management service is used.
  • the estimated data is stored together with the questionnaire result in a personality database (hereinafter referred to as “DB”) provided in the storage unit 130.
  • DB personality database
  • the storage unit 130 stores the physical information and activity history information of the above-described health care target person in the personal DB.
  • the recommended task effective for the diet and lifestyle activities performed by the health management server 100 or the health management target selected by the specialist may not necessarily be an effective task due to the nature of the health manager. Therefore, the personality of the person in charge of health management is analyzed, and the appropriateness of the recommended task is determined by comparing the personality with the recommended task selected by the health management server 100 or the expert. This analysis and determination is performed by the analysis unit 140. Then, as shown in FIG. 6, the recommended task is corrected, and a new recommended task is regenerated by the generation unit 160.
  • the personality DB and personal DB may be processed as one DB.
  • the plurality of regenerated recommended tasks may be corrected by the artificial intelligence unit 150 so as to change the weight for each health care target person.
  • the weight may be corrected such that the stretch is from the second priority to the first priority, and the meal restriction is from the fourth priority to the second priority.
  • the health manager in charge may be configured to determine whether or not the health manager in charge performs an action based on the sentence example (including recommended tasks) generated by the generation unit 160. This determination is performed by the analysis unit 140. Then, the analysis unit 140 may be configured to output the determination result to the artificial intelligence unit 150 for feedback. By feeding back to the artificial intelligence unit 150, the subsequent analysis and determination can be performed by the artificial intelligence unit 150 based on the past analysis and determination results. The determination is performed, for example, by analyzing an action pattern associated with the activity history of the health management target person and physical information and appearance transmitted to the health management server 100 as an intermediate report. Note that the personality of the health care target person may also be considered as a criterion for determination.
  • the health management server 100 determines whether the analysis performed by the analysis unit 140 or the artificial intelligence unit 150, analysis, or generated images (such as illustrations) and sentence examples (such as advice messages, warnings, recommended tasks, etc.) A message can be received that the self-evaluation is below the person in charge.
  • the health management server 100 can regenerate an image and sentence example that should be recommended to a specialist, and can transmit the more appropriate image and sentence example to the user terminal 200 of the health care target person.
  • This instruction is displayed and output from the health management server 100 to the display unit 180 of the user terminal 300.
  • the expert may be configured to transmit images and sentence examples to be recommended from the user terminal 300 to the user terminal 200 via the health management server 100.
  • communication between the specialist and the health management target person can be promoted, a trust relationship is created, and the motivation to execute the health management curriculum for the health management target person can be improved.
  • the health management server 100 performs a cross analysis based on the lifestyle questionnaire result (lifestyle data) of the health management target person and the genetic test result of the health management target person. Can standardize and improve the efficiency of creating reports for guidance on improving habits, eating habits or exercise habits.
  • the cross analysis is performed by the analysis unit 140.
  • the health management server 100 extracts concerns about the health of the health management target person and characteristics of the lifestyle from the results of the lifestyle data of the health management target person, and extracts the extracted content and the health management target person.
  • the results of genetic testing are stored in various databases (hereinafter referred to as “DB”) in the storage unit 130, and the stored data is filtered and scored to perform a cross analysis, and a report is obtained from the analysis results.
  • DB databases
  • the health management server 100 performs a cross analysis based on the results of the lifestyle data of the health management subject and the blood test results of the health management subject to determine the habits to be improved. Can standardize and improve the efficiency of reporting for guidance on improving and continuing habits to continue.
  • the cross analysis is performed by the analysis unit 140.
  • the health management server 100 extracts the lifestyle related to the blood of the health management target person from the result of the lifestyle data of the health management target person, and the extracted contents and the blood test of the health management target person
  • the results are stored in various DBs, the stored data is filtered and scored, cross analysis is performed, and reports are automatically created from the analysis results, thereby standardizing and improving the efficiency of the creation. Can be planned.
  • the health management server 100 includes the activity history (hereinafter, referred to as “log”) of the health management subject performed in the past, the results of lifestyle data, genetic test results, blood test results.
  • log activity history
  • Cross-analysis based on the content, and distribution of content aimed at providing tasks, training and fitness videos, ideal meals, health knowledge effective for diet and lifestyle activities performed by health care subjects it can.
  • the cross analysis is performed by the analysis unit 140.
  • the health management server 100 extracts behavioral changes and concerns of the health management target person from the log, the results of the lifestyle data and the lifestyle questionnaire result of the health management target person, By storing the results of the genetic test and blood test of the management subject in various DBs, filtering and scoring the stored data, cross analysis can be performed, and content distribution can be performed from the analysis result.
  • cross analysis is not limited to the case where it is performed based on the results of log and lifestyle data, genetic test results, and blood test results.
  • cross analysis may be performed in consideration of information such as medical examination data, family history, meal time / content, sleep / sleep time, and the like.
  • cross analysis may be performed by selecting some of these pieces of information.
  • the health guidance service is taken up as a service according to the present invention
  • the present invention can be used in businesses other than the business.
  • businesses that use people's psychology or spiritual actions for example, businesses that give advice to increase people's motivation), welfare (for example, when a specialist remotely advises the welfare of a local community) ), Can be used in business such as education.
  • a mobile terminal or a PC is used as a terminal applied to the service according to the present invention
  • the present invention is not limited to this. For example, you may comprise so that a wearable terminal may be utilized. Since the health care target person can wear it and carry it, it has the convenience that the service can be used anytime and anywhere.
  • the health management server 100 including the artificial intelligence unit 150 automatically selects an appropriate sentence example has been described as a service according to the present invention
  • the present invention is not limited to this.
  • the health management server 100 selects an illustration to be used as a reference when sending an answer to a question, an advice message, etc. from a plurality of illustrations, and transmits it to the user terminal 300 owned by an expert. May be. Then, based on the selected illustration, the expert may extract a sentence example that should be recommended to the health care target person from the correspondence between the illustration stored in advance and the sentence example.
  • Health management server 110 reception unit 120 reception unit 130 storage unit 140 analysis unit 150 artificial intelligence unit 160 generation unit 170 transmission unit 180, 190 display unit 200 user terminal (health management target person) 300 User terminal (expert) 400 network

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Abstract

Provided is a health management server which is capable of generating appropriate advice messages from the health state and meals of a health management subject, and which is capable of improving motivation for executing a health management curriculum. This health management server is connected, via a network, to a terminal belonging to a health management subject, and is provided with: a reception unit which receives, from the terminal, one piece of curriculum information selected by the health management subject; a storage unit for storing behaviour patterns of the health management subject; an analysis unit for analyzing continuation patterns when behaviour based on the curriculum information continues, and stagnation patterns when behaviour based on the curriculum information has become stagnant; an artificial intelligence unit which estimates the predicted future body information and appearance of the health management subject; a generation unit which generates the body information and the appearance; and a transmission unit which transmits the body information and the appearance to the terminal as example sentence information or image information.

Description

健康管理サーバおよび健康管理サーバ制御方法並びに健康管理プログラムHealth management server, health management server control method, and health management program
　本発明は、健康管理サーバおよび健康管理サーバ制御方法並びに健康管理プログラムに関し、特に将来の身体情報および容姿が推測可能な健康管理サーバおよび健康管理サーバ制御方法並びに健康管理プログラムに関する。 The present invention relates to a health management server, a health management server control method, and a health management program, and more particularly to a health management server, a health management server control method, and a health management program capable of estimating future physical information and appearance.
　近年、ダイエットやメタボリックシンドロームの予防などの健康意識の高まりを受けて、専門家の指導を受ける健康指導サービスが普及している。また、IT化に伴い、専門家とクライアントが直接対面することなく、オンライン上で健康指導サービスを受けるケースが増加している。 In recent years, health guidance services that receive guidance from specialists have become widespread in response to increasing health awareness such as prevention of diet and metabolic syndrome. In addition, with the shift to IT, there are increasing cases of receiving health guidance services on-line without direct contact between experts and clients.
　このような健康指導サービスにおいて、専門家は、オンライン端末からクライアント（健康管理対象者）が摂取した食事や現在の健康状態などを確認し、当該確認結果に基づいて指導のためのメッセージを作成し、クライアントのオンライン端末にメッセージを送る必要がある。 In such a health guidance service, the expert checks the food consumed by the client (person subject to health care) and the current health status from an online terminal, and creates a message for guidance based on the confirmation result. Need to send a message to the client's online terminal.
　このようなメッセージの作成および送信技術として、例えば、特許文献１には、クライアントが、自らの体況情報等をインターネット等を経由して、通知、報告、伝達、送信をすることができ、治療医療関係者と当該体況情報を常時共有することができるシステムが開示されている。また、この技術には、体況が一定のしきい値を超えた場合には警戒メッセージを表示するように構成されている。 As such a message creation and transmission technique, for example, in Patent Document 1, a client can notify, report, transmit, and transmit his / her physical condition information and the like via the Internet, etc. A system that can always share the status information with medical personnel is disclosed. In addition, this technology is configured to display a warning message when the physical condition exceeds a certain threshold value.
　また、特許文献２には、生活パターンを記録したセンサデータに基づき、クライアントの生活パターンを分析するシステムが開示されている。また、この技術には、センサデータを解析し、クライアントの生活パターン特徴量を生成する技術が開示されている。 Patent Document 2 discloses a system for analyzing a client's life pattern based on sensor data recording the life pattern. In addition, this technology discloses a technology for analyzing sensor data and generating a life pattern feature amount of a client.
特開２０１４－０３２４４０号公報JP 2014-032440 A 特許第５４６６７１３号公報Japanese Patent No. 5466713
　特許文献１記載の発明では、クライアントがコメント欄に入力した日記やコメント等の内容に対して、当該クライアントを担当する医療・健康管理者が必要に応じて当該コメントに応答するメッセージを、当該クライアントに対して送信している。これによって、クライアントと医療・健康管理者の間でコミュニケーションが図られている。 In the invention described in Patent Document 1, a message that the medical / health manager in charge of the client responds to the comment as necessary for the contents such as a diary or a comment entered by the client in the comment field Sending against. This facilitates communication between the client and the medical / health manager.
　しかしながら、特許文献１記載の発明には、予め回答パターン、サイクル、頻度が設定されており、医療・健康管理者によって決められたパターンの回答がクライアントにメッセージとして送信されているに過ぎない。このため、特許文献１記載の発明では、ユーザの判断が介在しないため健康指導サービスのユーザによる使用意識が低下するだけではなく、意に沿わない文例が表示される可能性があるため使用継続性に乏しいという問題がある。 However, in the invention described in Patent Document 1, an answer pattern, a cycle, and a frequency are set in advance, and an answer of a pattern determined by a medical / health manager is merely transmitted as a message to the client. For this reason, in the invention described in Patent Document 1, since the user's judgment is not involved, not only the user's awareness of use of the health guidance service is lowered, but also an unintentional sentence example may be displayed. There is a problem that it is scarce.
　また、特許文献２記載の発明においては、クライアントの行動に基づく生活パターンを分析するため、クライアントに加速度センサを装着する必要があり、生活パターンの分析システムの制御が複雑化するとともに、クライアントにとって負担となるという問題がある。 In addition, in the invention described in Patent Document 2, it is necessary to attach an acceleration sensor to the client in order to analyze a life pattern based on the behavior of the client, which complicates the control of the life pattern analysis system and imposes a burden on the client. There is a problem of becoming.
　そこで、本発明は、上記問題に鑑みてなされたものであり、健康管理指導のためのメッセージの送信にあたって、健康管理対象者の食事や健康状態から把握される身体情報および容姿に基づき適切なアドバイスメッセージなどを生成することができるため、健康管理のカリキュラム実行のモチベーションを向上させることができる。さらに、本発明は、健康管理対象者にとって負担とならない、理解性および使用継続性のあるアドバイスを提供する支援ができるサーバを提供することを目的とする。 Therefore, the present invention has been made in view of the above problems, and in sending a message for health care guidance, appropriate advice based on physical information and appearance grasped from the diet and health status of the health care target person Since messages and the like can be generated, motivation for executing the curriculum of health management can be improved. Furthermore, an object of the present invention is to provide a server capable of supporting providing advice with understanding and continuity of use that does not become a burden on a health care target person.
　本発明に係る健康管理サーバは、健康管理対象者が保有する端末とネットワークを介して接続された健康管理サーバであって、複数の健康管理のカリキュラム情報の中から前記健康管理対象者が選択した一のカリキュラム情報を端末から受信する受信部と、受信部から出力された前記カリキュラム情報に伴う、健康管理対象者の行動パターンを記憶する記憶部と、記憶部に記憶された行動パターンを、前記カリキュラム情報に基づく行動が継続されている場合の継続パターンと、カリキュラム情報に基づく行動が停滞した場合の停滞パターンと、に分析する分析部と、分析部にて分析した健康管理対象者の行動パターンに基づき、将来予測される健康管理対象者の身体情報および容姿を推測する人工知能部と、人工知能部が推測した身体情報および容姿を生成する生成部と、生成部によって生成される身体情報および前記容姿を、画像または文例として端末に送信する送信部とを備える。 A health management server according to the present invention is a health management server connected via a network to a terminal owned by a health care target person, and selected from the plurality of health care curriculum information by the health care target person A receiving unit that receives one curriculum information from the terminal, a storage unit that stores a behavior pattern of a health care target person, and an action pattern stored in the storage unit, with the curriculum information output from the receiving unit, The analysis unit that analyzes the continuation pattern when the behavior based on the curriculum information is continued and the stagnation pattern when the behavior based on the curriculum information stagnate, and the behavior pattern of the health management subject analyzed by the analysis unit Based on the artificial intelligence department that estimates the physical information and appearance of the future health management subject, and the physical information that the artificial intelligence department has estimated And a generation unit for generating appearance, the body information and the appearance generated by the generating unit, a transmission unit for transmitting an image or phrase to the terminal.
　さらに、本発明に係る健康管理サーバにおいて、記憶部には、健康管理対象者の現在の身体情報が記憶されており、記憶部から出力された現在の身体情報を用いて、人工知能部によって推奨される身体情報および容姿を推測し、健康管理のカリキュラムを前記端末に対し送信するものであってもよい。 Further, in the health management server according to the present invention, the current physical information of the health management target person is stored in the storage unit, and is recommended by the artificial intelligence unit using the current physical information output from the storage unit. The physical information and the appearance may be estimated, and a health care curriculum may be transmitted to the terminal.
　さらに、本発明に係る健康管理サーバにおいて、記憶部には、健康管理対象者の現在の身体情報が記憶されており、記憶部から出力された現在の身体情報を用いて、人工知能部によって推奨される身体情報および容姿を推測し、健康管理のカリキュラムを前記端末に対し送信するものであってもよい。 Further, in the health management server according to the present invention, the current physical information of the health management target person is stored in the storage unit, and is recommended by the artificial intelligence unit using the current physical information output from the storage unit. The physical information and the appearance may be estimated, and a health care curriculum may be transmitted to the terminal.
　さらに、本発明に係る健康管理サーバにおいて、分析部は、停滞パターンよりも行動の水準が高い高水準パターンを統計解析することが可能であって、人工知能部は、健康管理対象者が高水準パターンの行動をしたと仮定した場合に、将来予測される健康管理対象者の身体情報および容姿を推測するものであってもよい。 Further, in the health management server according to the present invention, the analysis unit can statistically analyze a high level pattern having a higher level of behavior than the stagnation pattern, and the artificial intelligence unit If it is assumed that the user has acted as a pattern, the physical information and the appearance of the health management subject predicted in the future may be estimated.
　さらに、本発明に係る健康管理サーバにおいて、分析部は、健康管理対象者の現在の現パターンを統計解析することが可能であって、人工知能部は、健康管理対象者が現パターンの行動をしたと仮定した場合に、将来予測される健康管理対象者の身体情報および容姿を推測するものであってもよい。 Further, in the health management server according to the present invention, the analysis unit can statistically analyze a current current pattern of the health management target person, and the artificial intelligence unit performs the behavior of the current pattern on the health management target person. If it is assumed that the physical information and the appearance of the health management subject predicted in the future may be estimated.
　さらに、本発明に係る健康管理サーバにおいて、健康管理サーバは、さらに、健康管理対象者による、端末に配信される健康管理サービスの使用頻度を算出する算出部と、使用頻度に基づき行動パターンの水準を判定する判定部を備えるものであってもよい。 Furthermore, in the health management server according to the present invention, the health management server further includes a calculation unit that calculates a usage frequency of the health management service delivered to the terminal by the health management target, and a behavior pattern level based on the usage frequency. It may be provided with a determination unit for determining whether or not.
　さらに、本発明に係る健康管理サーバにおいて、記憶部は、健康管理対象者の過去の行動パターンを記憶するものであって、人工知能部は、記憶部から出力された過去の行動パターンに基づき、健康管理対象者の性格を推測することが可能であり、生成部は、健康管理対象者の推測される身体情報および容姿に基づき、推奨すべき画像および文例を生成することが可能であり、性格と生成した画像および性格とを比較することにより文例の妥当性を判定し、生成部によって推奨すべき文例を再生成するものであってもよい。 Furthermore, in the health management server according to the present invention, the storage unit stores a past behavior pattern of the health management target person, and the artificial intelligence unit is based on the past behavior pattern output from the storage unit, The personality of the health care target person can be estimated, and the generation unit can generate recommended images and sentence examples based on the physical information and appearance of the health care target person. The validity of the sentence example may be determined by comparing the generated image and personality, and the sentence example to be recommended may be regenerated by the generation unit.
　さらに、本発明に係る健康管理サーバにおいて、健康管理サーバが再生成した文例を取得して人工知能部にフィードバックするものであってもよい。 Furthermore, in the health management server according to the present invention, a sentence example regenerated by the health management server may be acquired and fed back to the artificial intelligence unit.
　さらに、本発明に係る健康管理サーバにおいて、健康管理サーバは、健康管理担当者が、生成した文例に基づく行動をしたか否かを判定し、判定の結果を取得して人工知能部にフィードバックするものであってもよい。 Furthermore, in the health management server according to the present invention, the health management server determines whether or not the health manager has acted based on the generated sentence example, acquires the determination result, and feeds back to the artificial intelligence unit. It may be a thing.
　さらに、本発明に係る健康管理サーバにおいて、健康管理対象者が保有する端末は、予めグルーピングされた複数の端末を含むグルーピング端末を有し、受信部は、グルーピング端末を構成する各端末からそれぞれ送信された画像情報またはメッセージ情報を受信するものであって、健康管理サーバは、さらに、各端末に対して送信すべき、生成した文例、画像および評価を受け付ける受付部を備え、生成部は、健康管理サーバが生成した文例と、同一または類似もしくは相対する文例を所定の時間内に受信した端末を、グルーピング端末の中から特定し、該特定した端末を保有する健康管理対象者を比較対象者として判定し、文例を生成する際に、比較対象者に関する情報を、特定した端末の表示部に表示出力するものであってもよい。 Furthermore, in the health management server according to the present invention, a terminal held by a health care target person has a grouping terminal including a plurality of terminals grouped in advance, and the receiving unit transmits from each terminal constituting the grouping terminal. The health management server further includes a reception unit that receives the generated sentence example, image, and evaluation to be transmitted to each terminal, and the generation unit A terminal that receives the same, similar, or opposite sentence example generated by the management server within a predetermined time is identified from the grouping terminals, and the health management target person who owns the identified terminal is set as the comparison target person. When the determination is made and the sentence example is generated, information regarding the person to be compared may be displayed and output on the display unit of the specified terminal.
　本発明に係る健康管理サーバ制御方法は、健康管理対象者が保有する端末とネットワークを介して接続された健康管理サーバ制御方法であって、複数の健康管理のカリキュラム情報の中から健康管理対象者が選択した一のカリキュラム情報を端末から受信する受信ステップと、受信ステップから出力された前記カリキュラム情報に伴う、健康管理対象者の行動パターンを記憶する記憶ステップと、記憶ステップに記憶された行動パターンを、カリキュラム情報に基づく行動が継続されている場合の継続パターンと、カリキュラム情報に基づく行動が停滞した場合の停滞パターンと、に分析する分析ステップと、分析ステップにて分析した健康管理対象者の行動パターンに基づき、将来予測される健康管理対象者の身体情報および容姿を推測する人工知能ステップと、人工知能ステップが推測した身体情報および容姿を生成する生成ステップと、生成ステップによって生成される身体情報および容姿を、画像または文例として前記端末に送信する送信ステップとを含むものである。 A health management server control method according to the present invention is a health management server control method that is connected to a terminal of a health care target person via a network, and is a health care target person from a plurality of health care curriculum information. A receiving step for receiving the curriculum information selected by the terminal from the terminal, a storing step for storing the action pattern of the health care target person accompanying the curriculum information output from the receiving step, and an action pattern stored in the storing step The analysis step to analyze the continuation pattern when the action based on the curriculum information is continued and the stagnation pattern when the action based on the curriculum information is stagnant, and the health management target person analyzed in the analysis step Estimate the physical information and appearance of future health care subjects based on behavior patterns An artificial intelligence step, a generation step for generating physical information and appearance estimated by the artificial intelligence step, and a transmission step for transmitting the physical information and appearance generated by the generation step to the terminal as an image or sentence example. .
　本発明に係る健康管理プログラムは、健康管理対象者が保有する端末とネットワークを介して接続された健康管理プログラムであって、コンピュータに、複数の健康管理のカリキュラム情報の中から健康管理対象者が選択した一のカリキュラム情報を端末から受信する受信機能と、受信機能から出力されたカリキュラム情報に伴う、健康管理対象者の行動パターンを記憶する記憶機能と、記憶機能に記憶された行動パターンを、カリキュラム情報に基づく行動が継続されている場合の継続パターンと、カリキュラム情報に基づく行動が停滞した場合の停滞パターンと、に分析する分析機能と、分析機能にて分析した前記健康管理対象者の行動パターンに基づき、将来予測される健康管理対象者の身体情報および容姿を推測する人工知能機能と、人工知能機能が推測した身体情報および容姿を生成する生成機能と、生成機能によって生成される身体情報および容姿を、画像または文例として端末に送信する送信機能とを含むものである。 The health management program according to the present invention is a health management program connected to a terminal of a health care target person via a network, and the health care target person is selected from a plurality of health care curriculum information on a computer. A reception function for receiving the selected one curriculum information from the terminal, a storage function for storing the behavior pattern of the health care target person associated with the curriculum information output from the reception function, and an action pattern stored in the storage function, An analysis function that analyzes the continuation pattern when the action based on the curriculum information is continued, and the stagnation pattern when the action based on the curriculum information stagnate, and the behavior of the health management subject analyzed by the analysis function Artificial intelligence function to infer the physical information and appearance of future health management subjects based on patterns It is intended to include a generating function for generating a physical information and appearance artificial intelligence function is guessed, the body information and the appearance generated by the generating function and a transmission function for transmitting an image or phrase to the terminal.
　本発明によれば、画像および文例としてのイラスト、アドバイスメッセージ、警告の生成において、クライアント（健康管理対象者）の食事や健康状態、行動パターンから、推薦すべき複数の文例を自動で生成することができる。そして、本発明に係る健康管理サーバおよび健康管理サーバ制御方法並びに健康管理プログラムは、健康管理担当者の性格に応じた適切な文例を健康管理対象者に送信することができる。具体的には、本発明に係る健康管理サーバおよび健康管理サーバ制御方法並びに健康管理プログラムは、人工知能を搭載しており、クライアントの行動パターン毎の身体情報および容姿を推測して、当該身体情報および当該容姿を画像または文例としてクライアント端末に送信することができる。さらに、本発明によれば、適切なタイミングで適切なアドバイスメッセージをクライアントが保有する端末に送信することができる。 According to the present invention, in the generation of images, illustrations as example sentences, advice messages, and warnings, a plurality of sentence examples to be recommended are automatically generated from the diet (health management subject) of the client (health management subject) and the action pattern. Can do. The health management server, the health management server control method, and the health management program according to the present invention can transmit an appropriate sentence example corresponding to the personality of the health manager to the health manager. Specifically, the health management server, the health management server control method, and the health management program according to the present invention are equipped with artificial intelligence, and estimate the body information and appearance for each behavior pattern of the client, And the appearance can be transmitted to the client terminal as an image or sentence. Furthermore, according to the present invention, an appropriate advice message can be transmitted to a terminal held by a client at an appropriate timing.
　したがって、本発明は、健康管理指導のためのアドバイスメッセージ、警告としての文例の送信にあたって、健康管理対象者の食事や健康状態から適切なアドバイスメッセージを生成することができるため、健康管理のカリキュラム実行のモチベーションを向上させることができる。さらに、本発明は、健康管理対象者にとって負担とならない、理解性および使用継続性のあるアドバイスを提供する支援ができるサーバを提供することを目的とする。文章でのアドバイスメッセージおよび将来の身体情報および容姿を送ることで、理解性および使用継続性のあるオンライン上での健康指導サービスを提供することができる。 Therefore, the present invention can generate an appropriate advice message from the diet and health status of the health care target person when sending an advice message for health care guidance and a sentence example as a warning. The motivation can be improved. Furthermore, an object of the present invention is to provide a server capable of supporting providing advice with understanding and continuity of use that does not become a burden on a health care target person. By sending written advice messages and future physical information and appearance, it is possible to provide an online health guidance service with understanding and continuity of use.
健康管理システムのシステム構成を示すシステム図System diagram showing system configuration of health management system 健康管理サーバの機能構成を示すブロック図Block diagram showing the functional configuration of the health management server サーバに蓄積されるデータの一例を示す図表Chart showing an example of data stored in the server 人工知能を備えるサーバの動作の一例を示すフローチャートFlow chart showing an example of the operation of a server with artificial intelligence 健康管理対象者の端末に表示される表示例を示す模式図Schematic diagram showing a display example displayed on the terminal of a health care target person 健康管理対象者にお勧めのタスクの補正を概念的に示す概念図Conceptual diagram showing correction of tasks recommended for health care subjects 遺伝子検査アルゴリズムの例を示す模式図Schematic diagram showing an example of genetic testing algorithm 血液検査アルゴリズムの例を示す模式図Schematic diagram showing an example of blood test algorithm コンテンツ配信アルゴリズムの例を示す模式図Schematic diagram showing an example of content distribution algorithm
　以下、本発明の一実施態様について、図面を参照しながら説明する。
<実施の形態>
＜概要＞
　図１は、健康管理システムのシステム構成を示すシステム図である。 Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
<Embodiment>
<Overview>
FIG. 1 is a system diagram showing a system configuration of a health management system.
　図１に示すように、健康管理システムは、健康管理サーバ１００、複数のユーザ端末２００、３００を含む。健康管理サーバ１００は、ネットワーク４００を介してユーザ端末２００およびユーザ端末３００と接続される。なお、図１において、説明を簡単にするために、ユーザ端末は２台だけ示してあるが、これ以上存在してもよいことは言うまでもない。また、ユーザ端末２００およびユーザ端末３００双方の具体的な機器は、図示のように、携帯端末およびパーソナルコンピュータ（ＰＣ）に限定されず、例えば、スマートフォン、タブレット端末、その他の電子機器であってもよい。 As shown in FIG. 1, the health management system includes a health management server 100 and a plurality of user terminals 200 and 300. The health management server 100 is connected to the user terminal 200 and the user terminal 300 via the network 400. In FIG. 1, only two user terminals are shown for ease of explanation, but it goes without saying that there may be more user terminals. In addition, specific devices of both the user terminal 200 and the user terminal 300 are not limited to a mobile terminal and a personal computer (PC) as illustrated, and may be, for example, a smartphone, a tablet terminal, or other electronic devices. Good.
　ここで、例えば、ユーザ端末２００は、健康管理対象者が保有する端末を示しているとし、また、ユーザ端末３００は、専門家が保有する端末を示しているとする。そして、健康管理対象者自身が摂取した食事を撮影し、ユーザ端末２００から当該撮影した食事の画像を健康管理サーバ１００に送信する。 Here, for example, it is assumed that the user terminal 200 indicates a terminal held by a health care target person, and the user terminal 300 indicates a terminal held by an expert. Then, the meal taken by the health management subject himself / herself is photographed, and the photographed meal image is transmitted from the user terminal 200 to the health management server 100.
　健康管理サーバ１００は、当該食事の画像を受信した回数などを基に、健康管理対象者の行動パターンの分析を行い、当該分析結果に基づいて健康管理対象者の将来の身体情報および容姿を推測する。そして、当該身体情報および容姿をユーザ端末３００に表示出力する。健康管理サーバ１００は、表示出力された身体情報および容姿をから、健康管理対象者に送信すべき推奨される画像および文例を生成する。推奨される画像および文例の生成は、生成部１４０が実行する。 The health management server 100 analyzes the behavior pattern of the health management target person based on the number of times the meal image is received, and estimates the future physical information and appearance of the health management target person based on the analysis result. To do. Then, the physical information and the appearance are displayed and output on the user terminal 300. The health management server 100 generates recommended images and sentence examples to be transmitted to the health care target person from the displayed physical information and appearance. The generation unit 140 executes generation of recommended images and sentence examples.
　健康管理サーバ１００が生成したアドバイスメッセージ、警告および評価としての文例をユーザ端末２００に送信することで、健康管理対象者に健康管理のための指導を行う。なお、当該指導は、健康管理対象者毎に個別で行ってもよいし、健康管理対象者をグルーピングして、当該グループ単位で指導してもよい。ここで、グルーピングとは、複数の健康管理対象者を対象に、グループ指導を行うための組分けをいう。 The health management server 100 is instructed for health management by transmitting the advice message generated by the health management server 100, the warning, and the sentence example as the evaluation to the user terminal 200. In addition, the said instruction | indication may be performed for every health management object person, and a health care object person may be grouped and you may instruct | indicate in the said group unit. Here, grouping refers to grouping for performing group guidance for a plurality of health care subjects.
　文例とは、健康管理サーバ１００が行動パターンの分析結果に基づき生成したアドバイスメッセージ、警告、評価、各種お勧めのタスク、および、健康管理対象者の投稿、質問などが該当する。また、画像は、健康管理対象者自身が摂取した食事の他に、身体情報に関するデータ表、健康管理対象者の容姿、活動履歴のデータ表、分析結果データ、健康管理サーバ１００がアドバイスメッセージとともに、または別に送信するイラストなどが該当する。 The sentence examples correspond to advice messages, warnings, evaluations, various recommended tasks, and postings and questions of health management subjects generated by the health management server 100 based on the analysis result of the behavior pattern. In addition to meals taken by the health care target person himself / herself, the image includes a data table relating to physical information, the appearance of the health care target person, an activity history data table, analysis result data, and the health management server 100 along with an advice message, Or illustrations sent separately.
　なお、健康管理サーバ１００が生成したイラスト画像、文例としてのアドバイスメッセージおよび警告などを複数種類ユーザ端末３００に送信することにより、専門家が推奨すべきメッセージを選択し、健康管理対象者が保有するユーザ端末２００に送信するように構成してもよい。 It should be noted that by sending illustration images generated by the health management server 100, advice messages and warnings as example sentences to the user terminal 300, a message to be recommended by the expert is selected and held by the health care target person You may comprise so that it may transmit to the user terminal 200.
＜構成＞
　以下、サーバ１００、ユーザ端末２００およびユーザ端末３００の構成について説明する。図２は、サーバ１００、ユーザ端末２００およびユーザ端末３００の機能構成を示すブロック図である。 <Configuration>
Hereinafter, configurations of the server 100, the user terminal 200, and the user terminal 300 will be described. FIG. 2 is a block diagram illustrating functional configurations of the server 100, the user terminal 200, and the user terminal 300.
　図２に示すように、サーバ１００は、受信部１１０と、受付部１２０、記憶部１３０と、分析部１４０と、人工知能部１５０と、生成部１６０と、送信部１７０とを含んで構成される。 As shown in FIG. 2, the server 100 includes a receiving unit 110, a receiving unit 120, a storage unit 130, an analysis unit 140, an artificial intelligence unit 150, a generation unit 160, and a transmission unit 170. The
　受信部１１０は、複数の健康管理のカリキュラム情報の中から健康管理対象者が選択した一のカリキュラム情報を当該健康管理対象者が保有する端末（ユーザ端末２００）から受信する。また、受信部１１０は、ネットワーク４００を介して、ユーザ端末２００から送信される食事画像や身体情報を受信する。また、ユーザ端末３００からイラスト画像、アドバイスメッセージ、警告などの文例、評価が送信される場合には、当該イラスト画像、文例および評価を受信する。これらの送受信における通信は、有線、無線のいずれでもよく、また、互いの通信が実行できるのであれば、どのような通信プロトコルを用いてもよい。 The receiving unit 110 receives one curriculum information selected by the health care target person from among a plurality of health care curriculum information from a terminal (user terminal 200) held by the health care target person. The receiving unit 110 also receives meal images and body information transmitted from the user terminal 200 via the network 400. When a sentence example such as an illustration image, an advice message, a warning, or an evaluation is transmitted from the user terminal 300, the illustration image, the sentence example, and the evaluation are received. Communication in these transmission / reception may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.
　受付部１２０は、ユーザ端末２００またはユーザ端末３００に対して送信すべきものとして健康管理サーバ１００が生成したイラスト画像、文例および評価を受け付ける機能を有する。ここで、イラスト画像、文例および評価は、複数でも単数でもよい。また、受付部１２０は、受信部１１０によって受信された健康管理対象者が選択した一の健康管理のカリキュラム情報を受け付ける機能を有する。なお、健康管理のカリキュラム情報は、健康管理サーバ１００が、後述する健康管理対象者の身体情報および活動履歴情報に基づき選択するように構成してもよい。 The reception unit 120 has a function of receiving illustration images, sentence examples, and evaluations generated by the health management server 100 as items to be transmitted to the user terminal 200 or the user terminal 300. Here, the illustration image, the sentence example, and the evaluation may be plural or singular. In addition, the reception unit 120 has a function of receiving one health management curriculum information selected by the health management target person received by the reception unit 110. The health management curriculum information may be configured to be selected by the health management server 100 based on the physical information and activity history information of the health management target person described later.
　記憶部１３０は、健康管理のカリキュラム情報に伴う、健康管理対象者の行動パターンを記憶する。また、記憶部１３０は、複数の文例を含む文例情報を記憶している。また、記憶部１３０は、複数の画像を含む画像情報を記憶している。記憶部１３０は、典型的には、ＨＤＤ（Hard Disc Drive）、ＳＳＤ（Solid State Drive）、フラッシュメモリなど各種の記録媒体により実現される。 The storage unit 130 stores the behavior pattern of the health management subject along with the health management curriculum information. The storage unit 130 stores sentence example information including a plurality of sentence examples. The storage unit 130 stores image information including a plurality of images. The storage unit 130 is typically realized by various recording media such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), and a flash memory.
　分析部１４０は、記憶部１３０に記憶された行動パターンを、健康管理のカリキュラム情報に基づく行動が継続されている場合の継続パターンと、健康管理のカリキュラム情報に基づく行動が停滞した場合の停滞パターンと、に分析する。分析部１４０は、例えば、健康管理のカリキュラム情報に伴う、健康管理対象者の健康管理サービスの活動履歴情報を考慮して各パターンの分析を行う。一定期間の使用回数をカウントし、健康管理対象者が一定期間に健康管理サービスを使用した（アクセスした）回数の割合を算出し使用頻度の判定を行い、所定の割合以上である場合は継続パターンであると分析する。受付部１２０にて受け付けられた、ユーザ端末２００から送信される画像情報および文例情報は、記憶部１３０を介して分析部１４０に送信される。これによって、分析部１４０は健康管理対象者が一定期間に健康管理サービスを使用した回数の割合を算出する。 The analysis unit 140 uses the behavior pattern stored in the storage unit 130 as the continuation pattern when the behavior based on the health management curriculum information is continued and the stagnation pattern when the behavior based on the health management curriculum information is stagnant. And analyze. For example, the analysis unit 140 analyzes each pattern in consideration of the activity history information of the health management service of the health management target person accompanying the health management curriculum information. Count the number of uses for a certain period, calculate the ratio of the number of times the health care target person used (accessed) the health care service for a certain period, determine the usage frequency, and if it is above a certain percentage, continue pattern Analyzes that The image information and sentence example information transmitted from the user terminal 200 received by the receiving unit 120 is transmitted to the analysis unit 140 via the storage unit 130. Accordingly, the analysis unit 140 calculates the ratio of the number of times that the health management target person has used the health management service in a certain period.
　なお、健康管理対象者が健康管理サービスを使用した回数の割合は、例えばチャット回数、専門家への問い合わせ回数、サプリメント等健康食品、健康器具、トレーニングマシーン等の購買履歴、ログイン時間、広告・情報ウェブサイトへのクリック率（ＣＴＲ）などによって判断してもよい。 The ratio of the number of times the health management target person used the health management service is, for example, the number of chats, the number of inquiries to experts, the purchase history of health foods such as supplements, health appliances, training machines, login times, advertisements / information You may judge by the click rate (CTR) etc. to a website.
　人工知能部１５０は、分析部１４０にて分析した健康管理対象者の行動パターンに基づき、将来予測される健康管理対象者の身体情報および容姿を推測する。身体情報および容姿の推測は、健康管理対象者によって予め入力された身体情報と、分析された行動パターンに基づき推測される。ここで、健康管理対象者の身体情報とは、医療・検査データと生体情報・ライフログ情報とを含む健康管理対象者の主観と客観の両面からの身体に関する情報をいう。医療・検査データは、遺伝子情報、血液検査結果、健診データ（身長、体重、性別、年齢などを含む）、生活習慣データ、一日当たりの摂取カロリー、家族既往症、レセプトデータなど医療・検査に関連するデータのことをいう。また、生体情報・ライフログ情報は、心拍・脈拍、血圧、歩数・活動量、食事時間・内容、睡眠・就寝時間、体調・気分など生体やライフサイクルに関連する情報のことをいう。人工知能部１５０は、健康管理対象者から予め送信された当該身体情報と、分析部１４０にて分析した行動パターンに基づき、健康管理対象者に対する健康管理のカリュキュラムの実施効果の予測を算出する。現在の身体情報を基に、分析部１４０にて分析した行動パターンを一定期間継続実施した場合に、将来予測される身体情報および容姿を推測する。 The artificial intelligence unit 150 estimates the physical information and the appearance of the health management subject predicted in the future based on the behavior pattern of the health management subject analyzed by the analysis unit 140. The body information and the appearance are estimated based on the body information input in advance by the health management subject and the analyzed behavior pattern. Here, the physical information of the subject of health management refers to information about the body from both the subjective and objective aspects of the subject of health management, including medical / test data and biological information / life log information. Medical / laboratory data is related to medical / testing such as genetic information, blood test results, medical examination data (including height, weight, sex, age, etc.), lifestyle data, calorie intake per day, family history, and receipt data. The data that you want to do. The biological information / life log information refers to information related to the living body and life cycle, such as heart rate / pulse, blood pressure, number of steps / activity, meal time / content, sleep / sleep time, physical condition / mood. The artificial intelligence unit 150 calculates a prediction of the implementation effect of the health care curriculum for the health care target person based on the physical information transmitted in advance from the health care target person and the behavior pattern analyzed by the analysis part 140. Based on the current physical information, when the behavior pattern analyzed by the analysis unit 140 is continuously performed for a certain period, the predicted physical information and appearance are estimated in the future.
　図３に示すように、記憶部１３０には、健康管理対象者が入力することにより、ユーザ端末２００から健康管理サーバ１００に送信される医療・検査データおよび生体情報・ライフログを含んで構成される身体情報が蓄積される。当該身体情報は、現在および将来推測される身体情報の両方が蓄積される。当該蓄積データは、健康管理対象者および専門家がいつでも表示部１８０、１９０に表示させ閲覧できるように構成されている。これによって、専門家は、過去、現在、将来の蓄積データを基に、健康管理対象者に対し、より適切なアドバイスメッセージや警告を送ることができる。記憶部１３０には、上述した健康管理対象者の活動履歴情報も蓄積される。 As shown in FIG. 3, the storage unit 130 is configured to include medical / examination data and biometric information / life log transmitted from the user terminal 200 to the health management server 100 when the health management target person inputs. Body information is stored. As the physical information, both current and estimated physical information are accumulated. The stored data is configured so that the health care target person and the expert can display the data on the display units 180 and 190 at any time for browsing. Thereby, the expert can send a more appropriate advice message and warning to the health care target person based on the past, present, and future accumulated data. The storage unit 130 also stores the activity history information of the above-described health care target person.
　生成部１６０は、人工知能部１５０が推測した身体情報および容姿を、画像または文例として生成する。人工知能部１５０は、当該身体情報および当該容姿を、画像および文例として生成することもできる。そして、身体情報や行動パターンに伴う運動情報を図表化したり、累積化したり、分析部１４０によって分析した行動パターンの分析結果を表示出力する。さらに、後述するライバルとの比較情報を付加したり、人工知能部１５０が推測した身体情報および容姿の情報に基づくアドバイスメッセージ、警告および評価を付加するなど、情報の編集を行い、ユーザ端末２００に送信する提供データを生成する。 The generation unit 160 generates the body information and the appearance estimated by the artificial intelligence unit 150 as an image or a sentence example. The artificial intelligence unit 150 can also generate the physical information and the appearance as images and sentence examples. Then, the exercise information accompanying the body information and the action pattern is displayed in a graph, accumulated, or the analysis result of the action pattern analyzed by the analysis unit 140 is displayed and output. Furthermore, the information is edited and added to the user terminal 200 by adding comparison information with rivals, which will be described later, or adding advice messages, warnings and evaluations based on physical information and appearance information estimated by the artificial intelligence unit 150. Generate offer data to send.
　また、健康管理サーバ１００は、上記文例としてのアドバイスメッセージ、警告の使用頻度を算出する機能を有してもよい。また、健康管理サーバ１００は、画像（イラストなど）の使用頻度を算出するように構成してもよい。当該算出は図示しない算出部が行う。算出部は分析部１４０に備えられていてもよいし、健康管理サーバ１００内に別途設けられていてもよい。具体的には、健康管理サーバ１００が推奨する画像または文例を生成したことをトリガーとして、算出部にてカウントアップを行う。 Further, the health management server 100 may have a function of calculating the usage frequency of the advice message and warning as the above sentence example. Further, the health management server 100 may be configured to calculate the use frequency of images (illustrations and the like). The calculation is performed by a calculation unit (not shown). The calculation unit may be provided in the analysis unit 140 or may be provided separately in the health management server 100. Specifically, the calculation unit counts up using the generation of an image or sentence example recommended by the health management server 100 as a trigger.
　また、算出部は、上記健康管理サービスの活動履歴の頻度を算出するものであってもよい。具体的には、算出部が、健康管理対象者の活動履歴を示す情報が受信部１１０により受信されたことをトリガーとして、カウントアップを行う。 Further, the calculation unit may calculate the frequency of activity history of the health management service. Specifically, the calculation unit counts up with the information indicating the activity history of the health management subject being received by the reception unit 110 as a trigger.
　また、算出部は、健康管理対象者の健康管理のカリキュラム毎に当該使用頻度のカウントアップを行い、当該カリキュラムが終了した時点でリセットするものであってもよい。 Further, the calculation unit may count up the use frequency for each health care curriculum of the health care target person and reset it when the curriculum is completed.
　送信部１７０は、生成部１６０によって生成される身体情報および容姿を、画像情報または文例情報としてユーザ端末３００に送信する。なお、送信部１７０は、画像情報または文例情報を提供データとしてユーザ端末３００に送信するとともに、ユーザ端末２００にも当該提供データを送信し健康管理対象者が閲覧できるようにする。これによって、健康管理対象者は自分の健康活動の成果や、医師等の専門家による評価、ライバルとの比較などを見ることができ、自身の健康活動の成果を確認できるという効果を奏する。またユーザ端末２００に対しては、健康管理サーバ１００を介してライバルの健康活動の成果情報を送信することで、健康管理対象者は運動行動のモチベーションを高めることができる。 The transmission unit 170 transmits the body information and the appearance generated by the generation unit 160 to the user terminal 300 as image information or sentence example information. The transmitting unit 170 transmits image information or sentence example information as provided data to the user terminal 300, and also transmits the provided data to the user terminal 200 so that a health care target person can view it. As a result, the health management target person can see the results of his / her health activities, evaluations by specialists such as doctors, comparisons with rivals, and the like, and has the effect of confirming the results of his / her health activities. Further, by transmitting the result information of the rival health activity to the user terminal 200 via the health management server 100, the health management target person can increase the motivation of the exercise behavior.
　また、図２に示すように、ユーザ端末３００は、表示部１８０を含んで構成される。
　表示部１８０は、ネットワーク４００を介して、健康管理サーバ１００と通信し、健康管理サーバ１００から受信した、健康管理対象者が有するユーザ端末２００から送信された画像情報、複数の文例、健康管理対象者の活動履歴情報、文例の過去の使用履歴情報を表示出力する。さらに、表示部１８０は、健康管理対象者の将来予測される身体情報および容姿を画像として表示出力する。なお、健康管理対象者の将来予測される身体情報および容姿を文例として表示出力するように構成してもよい。あるいは、画像とともに文例を表示出力するように構成してもよい。 Further, as shown in FIG. 2, the user terminal 300 includes a display unit 180.
The display unit 180 communicates with the health management server 100 via the network 400 and receives image information transmitted from the user terminal 200 of the health management target person received from the health management server 100, a plurality of sentence examples, and a health management target. The activity history information of the user and the past usage history information of the sentence examples are displayed and output. Further, the display unit 180 displays and outputs the physical information and the appearance of the health management subject predicted in the future as an image. In addition, you may comprise so that the physical information and the appearance which are predicted in the future of a health care object person may be displayed and output as a sentence example. Or you may comprise so that a sentence example may be displayed and output with an image.
　ユーザ端末２００にも表示部１９０が設けられており、表示部１９０は、健康管理サーバ１００から送信された画像情報または文例情報が表示出力されるように構成されている。なお、表示部１９０には、ユーザ端末３００からアドバイスメッセージ、警告および評価が、健康管理サーバ１００を経由して表示出力されるように構成してもよい。 The user terminal 200 is also provided with a display unit 190, and the display unit 190 is configured to display and output image information or sentence example information transmitted from the health management server 100. The display unit 190 may be configured to display and output advice messages, warnings, and evaluations from the user terminal 300 via the health management server 100.
　また、表示部１９０は、健康管理対象者がグルーピングされている場合、かつ、比較対象者が判定されている場合には、当該比較対象者に関する情報を表示出力する。具体的には、「○○さんが現在のライバルです」といった様に表示出力する。 Further, the display unit 190 displays and outputs information related to the comparison target person when the health management target person is grouped and the comparison target person is determined. Specifically, the display is output such as “Mr. XX is the current rival”.
　さらに、表示部１９０は、当該比較対象者の表示出力と併せて、当該比較対象者に所定の時間内に送信した画像（イラストなど）、および文例（アドバイスメッセージ、警告、評価など）が特定された場合には、当該画像および当該文例を表示出力する際に、当該特定された文例に関する情報を表示出力する。具体的には、対象の文例の直下などに「ライバルの○○さんに送信されました」といった様に表示出力する。 Further, the display unit 190 identifies an image (illustration, etc.) and a sentence example (advice message, warning, evaluation, etc.) transmitted to the comparison subject within a predetermined time together with the display output of the comparison subject. In this case, when the image and the sentence example are displayed and output, information on the specified sentence example is displayed and output. Specifically, a message such as “Sent to rival XX” is displayed and output directly under the target sentence.
　当該情報は、健康管理サーバ１００からユーザ端末２００およびユーザ端末３００に対して送信されてもよいし、ユーザ端末３００が同期して、または非同期にユーザ端末２００に送信するように構成してもよい。以上が、健康管理サーバ１００、ユーザ端末２００およびユーザ端末３００の機能構成についての説明である。
＜動作＞ The information may be transmitted from the health management server 100 to the user terminal 200 and the user terminal 300, or the user terminal 300 may be configured to transmit to the user terminal 200 synchronously or asynchronously. . This completes the description of the functional configurations of the health management server 100, the user terminal 200, and the user terminal 300.
<Operation>
　図４を用いて、本実施の形態に係る人工知能部１５０を備える健康管理サーバ１００の動作の一例を説明する。 An example of the operation of the health management server 100 including the artificial intelligence unit 150 according to the present embodiment will be described with reference to FIG.
　図４は、健康管理サーバ１００の動作の一例を示すフローチャートである。受信部１１０は、健康管理対象者のユーザ端末２００から送られてきた健康管理のカリキュラム情報を画像情報または文例情報として受信する（ステップＳ１１）。受信部１１０は、当該受信した画像情報または文例情報を受付部１２０に伝達する。 FIG. 4 is a flowchart showing an example of the operation of the health management server 100. The receiving unit 110 receives the health management curriculum information sent from the user terminal 200 of the health management target person as image information or sentence example information (step S11). The receiving unit 110 transmits the received image information or sentence example information to the receiving unit 120.
　受付部１２０は、受信部１１０によって受信された健康管理対象者が選択した一の健康管理のカリキュラム情報を受け付ける（ステップＳ１２）。受付部１２０は、当該カリキュラム情報を分析部１４０に伝達する。健康管理のカリキュラム実行の結果、結果が思わしくない、あるいは、身体情報や活動履歴情報などからカリキュラムの変更が好ましい場合は、健康管理サーバ１００または専門家によって選択するように構成してもよい。 The accepting unit 120 accepts the curriculum information of one health management selected by the health care target person received by the receiving unit 110 (step S12). The reception unit 120 transmits the curriculum information to the analysis unit 140. If the result of the health management curriculum is unsatisfactory or if it is preferable to change the curriculum based on physical information or activity history information, the health management server 100 or a specialist may select the curriculum.
　分析部１４０は、当該カリキュラム情報に伴う健康管理対象者の行動パターンを分析する（ステップＳ１３）。当該分析は、健康管理対象者による健康管理サービスの活動履歴情報に基づき行われる。 The analysis unit 140 analyzes the behavior pattern of the health management target person associated with the curriculum information (step S13). The analysis is performed based on activity history information of health management services by health management subjects.
　人工知能部１５０は、ユーザ端末２００から送信された健康管理対象者の身体情報、および分析部１４０によって分析された行動パターンに基づき、将来予測される健康管理対象者の身体情報および容姿を推測する（ステップＳ１４）。人工知能部１５０は、当該将来予測される健康管理対象者の身体情報および容姿の情報を生成部１６０に伝達する。 The artificial intelligence unit 150 estimates the body information and the appearance of the health management target person predicted in the future based on the physical information of the health management target person transmitted from the user terminal 200 and the behavior pattern analyzed by the analysis unit 140. (Step S14). The artificial intelligence unit 150 transmits to the generation unit 160 the body information and the appearance information of the health management subject predicted in the future.
　生成部１６０は、健康管理対象者がグルーピングされているかどうか判定し、グルーピングされている場合（ステップＳ１５のＹＥＳ）には、所定の時間内に同一または類似もしくは相対する文例を送信しているグループ内の他の健康管理対象者をライバルまたは目標とする人などとして比較対象者と判定し、当該判定された比較対象者に関する情報を表示部１９０に表示出力する（ステップＳ１６）。また、当該比較対象者のうち、ライバルとなる人に、所定の時間内に送信した文例を特定し、当該特定された文例に関する情報を表示部１９０に表示出力する（ステップＳ１７）。この情報は、ユーザ端末３００にも送信され表示部１８０に表示出力される。 The generation unit 160 determines whether the health management target person is grouped, and when the group is grouped (YES in Step S15), the group that transmits the same, similar, or opposite sentence examples within a predetermined time. The other health management target person is determined as a comparison target person as a rival or a target person, and information on the determined comparison target person is displayed and output on the display unit 190 (step S16). In addition, a sentence example transmitted within a predetermined time to a rival person among the comparison target persons is specified, and information on the specified sentence example is displayed and output on the display unit 190 (step S17). This information is also transmitted to the user terminal 300 and displayed on the display unit 180.
　生成部１６０は、さらに専門家および健康管理対象者に送信すべきものとして、推測した健康管理対象者の身体情報および容姿の情報に基づき、推奨すべき画像および文例を生成する（ステップＳ１８）。生成部１６０は、当該画像および当該文例のいずれか一方を生成するように構成してもよい。 The generation unit 160 further generates an image and a sentence to be recommended based on the estimated physical information and appearance information of the health management target person to be transmitted to the specialist and the health management target (step S18). The generation unit 160 may be configured to generate either the image or the sentence example.
　受付部１７０は、専門家および健康管理サーバ１００に送信すべきものとして、生成した身体情報、容姿としての画像および文例を受け付ける（ステップＳ１９）。 The accepting unit 170 accepts the generated body information, the image as the appearance, and the sentence example as to be transmitted to the specialist and the health management server 100 (step S19).
　送信部１７０は、送信すべきものとして、将来予測される健康管理対象者の身体情報容姿としての画像および文例をユーザ端末２００およびユーザ端末３００に送信する（ステップＳ２０）。送信部１７０は、当該画像または当該文例のいずれか一方を送ユーザ端末２００およびユーザ端末３００に送信するように構成してもよい。送信部１７０からユーザ端末３００に画像情報、文例情報などが送信された場合、専門家は、当該文例にアドバイスメッセージや警告を補足して、健康管理サーバ１００を経由してユーザ端末２００に送信するように構成してもよい。以上が、人工知能部１５０を備える健康管理サーバ１００の動作の一例についての説明である。 The transmitting unit 170 transmits an image and a sentence example as a physical information appearance of a health care target person predicted in the future to the user terminal 200 and the user terminal 300 as to be transmitted (step S20). The transmission unit 170 may be configured to transmit either the image or the sentence example to the transmission user terminal 200 and the user terminal 300. When image information, sentence example information, or the like is transmitted from the transmission unit 170 to the user terminal 300, the expert supplements the sentence example with an advice message or warning, and transmits the advice message or warning to the user terminal 200 via the health management server 100. You may comprise as follows. The above is the description of an example of the operation of the health management server 100 including the artificial intelligence unit 150.
　図５は、ユーザ端末２００に表示される将来予測される健康管理対象者の身体情報および容姿の一例を示す概念図である。 FIG. 5 is a conceptual diagram showing an example of the physical information and appearance of a future health care target person displayed on the user terminal 200.
　図５に示すように、ユーザ端末２００には、健康管理サービスを使用する健康管理者の現在の容姿および身体情報に加え、人工知能部１５０にて推測した将来の健康管理者の容姿および身体情報が表示部１９０に表示出力される。現在および将来の容姿および身体情報は、ユーザ端末３００の表示部１８０にも表示出力される。健康管理サーバ１００は、現在および将来の容姿および身体情報とともに、または別に文例としてのアドバイスメッセージや警告を生成し、当該アドバイスメッセージをユーザ端末２００およびユーザ端末３００に送信することで、健康管理対象者に健康管理のための指導を行う。身体情報としては、例えば、体重、血液検査情報、胸囲、ＢＭＩ指数などが表示される。 As shown in FIG. 5, in the user terminal 200, in addition to the current appearance and physical information of the health manager who uses the health management service, the future health manager's appearance and body information estimated by the artificial intelligence unit 150. Is displayed on the display unit 190. The current and future appearance and physical information are also displayed on the display unit 180 of the user terminal 300. The health management server 100 generates an advice message or warning as a sentence example together with the current and future appearance and physical information, or transmits the advice message to the user terminal 200 and the user terminal 300, thereby providing a health management target person. Guidance for health management. As the body information, for example, weight, blood test information, chest circumference, BMI index, and the like are displayed.
　健康管理サーバ１００が容姿および身体情報に基づき生成した複数の文例の中から適切なアドバイスメッセージを専門家が選択し、当該アドバイスメッセージをユーザ端末２００に送信することで、健康管理対象者に健康管理のための指導を行うように構成してもよい。現在の身体情報および容姿から健常者であると認められても、活動履歴に基づく行動パターン、画像情報から導かれる食生活の乱れやユーザ端末２００から送信される睡眠不足、ストレスなどの投稿を考慮して、健康管理対象者に健康管理のための指導を行う。例えば、「○○さんは、このままの状況が続くと、メタボリックシンドローム（内臓脂肪症候群）と診断され、将来、糖尿病、高脂血症、高血圧症などの生活習慣病を発症する危険性があります。」といった警告のメッセージを送信することで、健康管理対象者に、運動行動のモチベーションを高まらせることができる。 The expert selects an appropriate advice message from a plurality of sentence examples generated by the health management server 100 based on the appearance and physical information, and transmits the advice message to the user terminal 200, so that the health management target person can receive health management. It may be configured to provide guidance for. Considering postings such as behavior patterns based on activity history, disturbance in eating habits derived from image information, lack of sleep transmitted from user terminal 200, stress, etc. Then, the health management target person is instructed for health management. For example, “Mr. XX is diagnosed with metabolic syndrome (visceral fat syndrome) if the situation continues, and there is a risk of developing lifestyle-related diseases such as diabetes, hyperlipidemia, and hypertension in the future. By sending a warning message such as “health management subjects can be motivated to exercise.
　なお、上記とは対照的に、現在の身体情報および容姿から、メタボリックシンドローム（内臓脂肪症候群）や生活習慣病予備軍と認められる場合であっても、今後、専門家の指導通りに健康管理カリキュラムを実行することにより、身体情報に基づく各種検査結果のデータが改善されるとアドバイスメッセージをユーザ端末２００に送信することにより、健康管理対象者に、運動行動のモチベーションを高まらせることができる。人工知能部１５０は、健康管理カリキュラムを指示通りに実行した場合の将来の身体情報および容姿を推測することができ、当該身体情報および容姿をアドバイスメッセージとともに送信することができる。これによって、健康管理対象者の運動行動のモチベーションを一層高まらせることができる。 In contrast to the above, even if it is recognized as a metabolic syndrome (visceral fat syndrome) or a lifestyle-related disease reserve army based on the current physical information and appearance, in the future, the health management curriculum will follow the guidance of experts. When the data of various test results based on the physical information is improved by executing, the advice message is transmitted to the user terminal 200, so that the health management subject can be motivated to exercise. The artificial intelligence unit 150 can estimate future physical information and appearance when the health management curriculum is executed as instructed, and can transmit the physical information and appearance together with an advice message. Thereby, the motivation of the exercise behavior of the health management subject can be further enhanced.
　なお、健康管理対象者が選択した健康管理カリキュラムが、健康管理対象者の現在の身体情報から適切でないと判断、評価される場合は、　記憶部１３０から出力された現在の身体情報を用いて、人工知能部１５０によって推奨される身体情報および容姿を推測し、健康管理のカリキュラムをユーザ端末２００に対し送信する。この判断、評価は、分析部１４０によって実行される。これによって、健康管理対象者の意思だけにとらわれず、健康管理対象者の現在の身体情報から適切な健康管理のカリキュラムを選択することができる。新たな健康管理のカリキュラムのユーザ端末２００への送信は、健康管理サーバ１００が行ってもよいし、専門家が、ユーザ端末３００からユーザ端末２００に対し送信するように構成してもよい。 When the health management curriculum selected by the health care target person is judged to be inappropriate from the current physical information of the health care target person, and evaluated, the current physical information output from the storage unit 130 is used. The body information and appearance recommended by the artificial intelligence unit 150 are estimated, and a health care curriculum is transmitted to the user terminal 200. This determination and evaluation is executed by the analysis unit 140. Accordingly, it is possible to select an appropriate health management curriculum from the current physical information of the health management target person without depending on the intention of the health management target person. The new health management curriculum may be transmitted to the user terminal 200 by the health management server 100, or an expert may be configured to transmit from the user terminal 300 to the user terminal 200.
　また、分析部１４０は、健康管理のカリキュラム情報に基づく行動が停滞している停滞パターンよりも行動の水準が高い高水準パターンを統計解析することができる。そして、人工知能部１５０は、健康管理対象者が高水準パターンの行動をしたと仮定した場合に、将来予測される前記健康管理対象者の身体情報および容姿を推測することもできる。行動パターンが停滞パターンであるか高水準パターンであるか否かは、例えば、健康管理サービスの活動履歴に伴う使用頻度の割合を用いて分析される。当該割合がある閾値以上である場合は高水準パターンであると分析する。また、高水準パターンは継続パターンであることを条件に含めてもよい。この分析は分析部１４０が実行する。これによって、健康管理対象者の行動が停滞している場合に、高水準パターンの行動をした場合に将来予測される身体情報および容姿をユーザ端末２００に送信することで、健康管理対象者に高水準パターンの行動を促すことができる。また、使用頻度に基づき行動パターンの高低の水準を判定することができる。この判定は分析部１４０が実行する。 Further, the analysis unit 140 can statistically analyze a high level pattern having a higher level of behavior than the stagnation pattern in which the behavior based on the curriculum information of health management is stagnant. Then, when it is assumed that the health management target person has performed a high-level pattern, the artificial intelligence unit 150 can also estimate the body information and the appearance of the health management target person predicted in the future. Whether or not the behavior pattern is a stagnation pattern or a high-level pattern is analyzed using, for example, the ratio of the usage frequency associated with the activity history of the health care service. If the ratio is above a certain threshold, it is analyzed as a high-level pattern. Moreover, you may include on condition that a high level pattern is a continuation pattern. This analysis is performed by the analysis unit 140. Thus, when the behavior of the health care target person is stagnant, the body information and the appearance predicted in the future when the behavior of the high level pattern is performed are transmitted to the user terminal 200, so that It is possible to promote the behavior of the standard pattern. Further, the level of the behavior pattern can be determined based on the use frequency. This determination is performed by the analysis unit 140.
　また、健康管理対象者は、現在の行動パターン（以降、「現パターン」と記載）を継続して実行した場合に将来予測される身体情報および容姿を認識することができる。当該将来予測される身体情報および容姿の推測は人工知能部１５０で実行され、その内容がユーザ端末２００に送信される。なお、同情報はユーザ端末３００にも送信される。そして、当該将来予測される身体情報および容姿、現パターンの水準の高低に応じて、ユーザ端末２００およびユーザ端末３００に対して送信すべきイラスト画像およびアドバイスメッセージ、警告などとしての文例を生成部１６０にて生成する。過去の行動パターンに基づき生成した画像および文例は記憶部１３０に蓄積されており、蓄積データに基づき、類似する行動パターンに対し過去に生成した画像および文例の統計解析を分析部１４０で実行するように構成してもよい。あるいは、人工知能部１５０には、記憶部１３０から分析部１４０を介して、または記憶部１３０から直接、過去の蓄積データがフィードバックされており、これら蓄積データに基づき、学習機能を有する人工知能部１５０が適切な画像および文例を生成するように構成してもよい。 In addition, the health management target person can recognize the physical information and the appearance that are predicted in the future when the current action pattern (hereinafter referred to as “current pattern”) is continuously executed. The estimation of the body information and the appearance predicted in the future is executed by the artificial intelligence unit 150, and the contents are transmitted to the user terminal 200. The information is also transmitted to the user terminal 300. Then, in accordance with the predicted body information and appearance, and the level of the current pattern, an illustration image to be transmitted to the user terminal 200 and the user terminal 300, an advice message, a sentence example as a warning, etc. Generate with. Images and sentence examples generated based on past action patterns are stored in the storage unit 130, and based on the accumulated data, statistical analysis of images and sentence examples generated in the past for similar action patterns is executed by the analysis unit 140. You may comprise. Alternatively, past accumulated data is fed back to the artificial intelligence unit 150 from the storage unit 130 via the analysis unit 140 or directly from the storage unit 130, and the artificial intelligence unit having a learning function based on these accumulated data 150 may be configured to generate appropriate images and sentence examples.
　また、人工知能部１５０は、記憶部１３０から出力された過去の行動パターンに基づき、健康管理対象者の性格を推測することができる。健康管理サーバ１００は、健康管理担当者のアンケート結果だけではなく、健康管理サービスを使用した場合の活動履歴に伴う行動パターンから、健康管理担当者自身の性格を推測することができる。この推測データはアンケート結果とともに、記憶部１３０が備える性格データベース（以降、「ＤＢ」と記載）に蓄積される。 In addition, the artificial intelligence unit 150 can estimate the personality of the health care target person based on the past action pattern output from the storage unit 130. The health management server 100 can infer the personality of the health care manager from not only the questionnaire result of the health care manager but also the behavior pattern associated with the activity history when the health management service is used. The estimated data is stored together with the questionnaire result in a personality database (hereinafter referred to as “DB”) provided in the storage unit 130.
　記憶部１３０には、上述した健康管理対象者の身体情報および活動履歴情報がパーソナルＤＢに記憶されている。健康管理サーバ１００または専門家が選択する健康管理対象者が行うダイエットおよび生活習慣活動行動に効果のあるお勧めのタスクは、健康管理者の性格から、必ずしも有効なタスクではない場合がある。そこで、健康管理担当者の性格を分析し、当該性格と健康管理サーバ１００または専門家によって選定された勧めタスクとを比較することにより当該お勧めのタスクの妥当性を判定する。この分析および判定は分析部１４０が実行する。そして、図６に示すように、お勧めタスクの補正が行われ生成部１６０によって新たなお勧めタスクを再生成する。なお、性格ＤＢとパーソナルＤＢを１つのＤＢとして処理してもよい。また、再生成された複数のお勧めタスクは、人工知能部１５０によって健康管理対象者毎に重み付けを変更するように補正してもよい。例えば、ストレッチを第２優先から第１優先に、食事制限を第４優先から第２優先、といったように重み付けを補正するように構成してもよい。 The storage unit 130 stores the physical information and activity history information of the above-described health care target person in the personal DB. The recommended task effective for the diet and lifestyle activities performed by the health management server 100 or the health management target selected by the specialist may not necessarily be an effective task due to the nature of the health manager. Therefore, the personality of the person in charge of health management is analyzed, and the appropriateness of the recommended task is determined by comparing the personality with the recommended task selected by the health management server 100 or the expert. This analysis and determination is performed by the analysis unit 140. Then, as shown in FIG. 6, the recommended task is corrected, and a new recommended task is regenerated by the generation unit 160. The personality DB and personal DB may be processed as one DB. The plurality of regenerated recommended tasks may be corrected by the artificial intelligence unit 150 so as to change the weight for each health care target person. For example, the weight may be corrected such that the stretch is from the second priority to the first priority, and the meal restriction is from the fourth priority to the second priority.
　また、健康管理担当者が、生成部１６０が生成した文例（お勧めのタスクを含む）に基づく行動をしたか否かを判定するように構成してもよい。この判定は分析部１４０が実行する。そして、分析部１４０は当該判定結果を人工知能部１５０に出力してフィードバックするように構成してもよい。人工知能部１５０にフィードバックすることにより、過去の分析、判定結果に基づき、以降の分析、判定を人工知能部１５０で行うことができる。なお、判定は、例えば、健康管理対象者の活動履歴に伴う行動パターンや、中間報告として健康管理サーバ１００に送信される身体情報および容姿を分析することにより行われる。なお、健康管理対象者の性格も判定の基準に考慮してもよい。 Further, it may be configured to determine whether or not the health manager in charge performs an action based on the sentence example (including recommended tasks) generated by the generation unit 160. This determination is performed by the analysis unit 140. Then, the analysis unit 140 may be configured to output the determination result to the artificial intelligence unit 150 for feedback. By feeding back to the artificial intelligence unit 150, the subsequent analysis and determination can be performed by the artificial intelligence unit 150 based on the past analysis and determination results. The determination is performed, for example, by analyzing an action pattern associated with the activity history of the health management target person and physical information and appearance transmitted to the health management server 100 as an intermediate report. Note that the personality of the health care target person may also be considered as a criterion for determination.
　また、健康管理サーバ１００は、分析部１４０または人工知能部１５０で行った判定、分析、あるいは生成された画像（イラストなど）、文例（アドバイスメッセージ、警告、お勧めのタスクなど）が、健康管理担当者の自己評価以下であるとのメッセージを受信することができる。この場合において、健康管理サーバ１００は、専門家に対し推奨すべき画像および文例を再生成し、より適切な画像および文例を健康管理対象者のユーザ端末２００に送信することができる。この指示は、健康管理サーバ１００からユーザ端末３００の表示部１８０に表示出力される。このメッセージを受けて、専門家は、ユーザ端末３００から健康管理サーバ１００を経由してユーザ端末２００に対し、推奨すべき画像および文例を送信するように構成してもよい。これによって、専門家と健康管理対象者のコミュニケーションを図ることができ、信頼関係が生まれ、健康管理対象者に健康管理のカリキュラムを実行するモチベーションを向上させることができる。 In addition, the health management server 100 determines whether the analysis performed by the analysis unit 140 or the artificial intelligence unit 150, analysis, or generated images (such as illustrations) and sentence examples (such as advice messages, warnings, recommended tasks, etc.) A message can be received that the self-evaluation is below the person in charge. In this case, the health management server 100 can regenerate an image and sentence example that should be recommended to a specialist, and can transmit the more appropriate image and sentence example to the user terminal 200 of the health care target person. This instruction is displayed and output from the health management server 100 to the display unit 180 of the user terminal 300. Upon receiving this message, the expert may be configured to transmit images and sentence examples to be recommended from the user terminal 300 to the user terminal 200 via the health management server 100. As a result, communication between the specialist and the health management target person can be promoted, a trust relationship is created, and the motivation to execute the health management curriculum for the health management target person can be improved.
　さらに、図７に示すように、健康管理サーバ１００は、健康管理対象者の生活習慣アンケート結果（生活習慣データ）と、健康管理対象者の遺伝子検査の検査結果を基にクロス分析を行い、生活習慣、食習慣または運動習慣の改善を目的とした指導を行うための報告書作成の標準化および効率化を図ることができる。当該クロス分析は分析部１４０が実行する。 Furthermore, as shown in FIG. 7, the health management server 100 performs a cross analysis based on the lifestyle questionnaire result (lifestyle data) of the health management target person and the genetic test result of the health management target person. Can standardize and improve the efficiency of creating reports for guidance on improving habits, eating habits or exercise habits. The cross analysis is performed by the analysis unit 140.
　具体的には、健康管理サーバ１００は、健康管理対象者の生活習慣データの結果から、健康管理対象者の健康に関する悩み、生活習慣の特徴を抽出し、当該抽出した内容と、健康管理対象者の遺伝子検査の結果を記憶部１３０に備える各種データベース（以降、「ＤＢ」と記載）に記憶し、当該記憶したデータをフィルタリングおよびスコアリングすることで、クロス分析を行い、当該分析結果より報告書の作成を自動で行うことで、当該作成の標準化および効率化を図ることができる。 Specifically, the health management server 100 extracts concerns about the health of the health management target person and characteristics of the lifestyle from the results of the lifestyle data of the health management target person, and extracts the extracted content and the health management target person. The results of genetic testing are stored in various databases (hereinafter referred to as “DB”) in the storage unit 130, and the stored data is filtered and scored to perform a cross analysis, and a report is obtained from the analysis results. By automatically creating the above, standardization and efficiency of the creation can be achieved.
　また、図８に示すように、健康管理サーバ１００は、健康管理対象者の生活習慣データの結果と、健康管理対象者の血液検査の検査結果を基にクロス分析を行い、改善すべき習慣の改善および続けるべき習慣の継続を目的とした指導を行うための報告書作成の標準化および効率化を図ることができる。当該クロス分析は分析部１４０が実行する。 In addition, as shown in FIG. 8, the health management server 100 performs a cross analysis based on the results of the lifestyle data of the health management subject and the blood test results of the health management subject to determine the habits to be improved. Can standardize and improve the efficiency of reporting for guidance on improving and continuing habits to continue. The cross analysis is performed by the analysis unit 140.
　具体的には、健康管理サーバ１００は、健康管理対象者の生活習慣データの結果から、健康管理対象者の血液に係る生活習慣を抽出し、当該抽出した内容と、健康管理対象者の血液検査の結果を各種ＤＢに記憶し、当該記憶したデータをフィルタリングおよびスコアリングすることで、クロス分析を行い、当該分析結果より報告書の作成を自動で行うことで、当該作成の標準化および効率化を図ることができる。 Specifically, the health management server 100 extracts the lifestyle related to the blood of the health management target person from the result of the lifestyle data of the health management target person, and the extracted contents and the blood test of the health management target person The results are stored in various DBs, the stored data is filtered and scored, cross analysis is performed, and reports are automatically created from the analysis results, thereby standardizing and improving the efficiency of the creation. Can be planned.
　また、図９に示すように、健康管理サーバ１００は、過去に実施した健康管理対象者の活動履歴（以降、「ログ」と記載）、および生活習慣データの結果、遺伝子検査結果、血液検査結果を基にクロス分析を行い、健康管理対象者が行うダイエットおよび生活習慣活動行動に効果のあるタスク、トレーニングおよびフィットネス動画、理想の食事、ヘルスナレッジを提供することを目的としたコンテンツ配信することができる。当該クロス分析は分析部１４０が実行する。 Further, as shown in FIG. 9, the health management server 100 includes the activity history (hereinafter, referred to as “log”) of the health management subject performed in the past, the results of lifestyle data, genetic test results, blood test results. Cross-analysis based on the content, and distribution of content aimed at providing tasks, training and fitness videos, ideal meals, health knowledge effective for diet and lifestyle activities performed by health care subjects it can. The cross analysis is performed by the analysis unit 140.
　具体的には、健康管理サーバ１００は、ログ、生活習慣データの結果および健康管理対象者の生活習慣アンケート結果から、行動変容および健康管理対象者の悩みを抽出し、当該抽出した内容と、健康管理対象者の遺伝子検査および血液検査の結果を各種ＤＢに記憶し、当該記憶したデータをフィルタリングおよびスコアリングすることで、クロス分析を行い、当該分析結果よりコンテンツ配信を行うことができる。 Specifically, the health management server 100 extracts behavioral changes and concerns of the health management target person from the log, the results of the lifestyle data and the lifestyle questionnaire result of the health management target person, By storing the results of the genetic test and blood test of the management subject in various DBs, filtering and scoring the stored data, cross analysis can be performed, and content distribution can be performed from the analysis result.
　なお、クロス分析は、ログ、および生活習慣データの結果、遺伝子検査結果、血液検査結果に基づき行われる場合に限定されない。例えば、これらの結果に加えて、健診データ、家族既往症、食事時間・内容、睡眠・就寝時間などの情報を考慮してクロス分析を行ってもよい。あるいは、これらの情報のうちいくつかの情報を選択してクロス分析を行ってもよい。これにより、より有効なタスク、トレーニングおよびフィットネス動画、理想の食事、ヘルスナレッジを提供することができる。 Note that the cross analysis is not limited to the case where it is performed based on the results of log and lifestyle data, genetic test results, and blood test results. For example, in addition to these results, cross analysis may be performed in consideration of information such as medical examination data, family history, meal time / content, sleep / sleep time, and the like. Alternatively, cross analysis may be performed by selecting some of these pieces of information. Thus, more effective tasks, training and fitness videos, ideal meals, and health knowledge can be provided.
＜その他＞
（１）本発明に係るサービスとして、健康指導サービスを取りあげているが、本発明は当該事業以外の事業においても用いることができる。特に、人の心理や精神への働きかけを用いる事業（例えば、人のモチベーションを上げるため、アドバイスを行う事業）、福祉（例えば、専門家が地域のコミュニティの福祉に対して遠隔でアドバイスする場合など）、教育などの事業において用いることができる。
（２）本発明に係るサービスに適用される端末として、携帯端末、ＰＣを利用する場合について説明したが、本発明はこれに限定されない。例えば、ウェアラブル端末を利用するように構成してもよい。健康管理対象者が身につけて持ち歩くことができるため、いつでも、どこでもサービスを利用することができるという利便性を有する。これにより、健康管理者自身のライフスタイルをリアルタイムでユーザ端末３００へ送信することができるため、より適切なアドバイスメッセージを受け取ることが可能になる。
（３）本発明に係るサービスとして、人工知能部１５０を備える健康管理サーバ１００が、適切な文例を自動で選択する場合を例示して説明したが、本発明はこれに限定されない。例えば、健康管理サーバ１００が、複数のイラストの中から質問に対する回答やアドバイスメッセージなどを送る際に参考となるイラストの選択を行い、これを専門家が保有するユーザ端末３００送信するように構成してもよい。そして、専門家が、当該選択されたイラストに基づいて、予め記憶されているイラストと文例の対応付けから、健康管理対象者に推奨すべき文例を専門家自身が抽出するようにしてもよい。 <Others>
(1) Although the health guidance service is taken up as a service according to the present invention, the present invention can be used in businesses other than the business. In particular, businesses that use people's psychology or spiritual actions (for example, businesses that give advice to increase people's motivation), welfare (for example, when a specialist remotely advises the welfare of a local community) ), Can be used in business such as education.
(2) Although the case where a mobile terminal or a PC is used as a terminal applied to the service according to the present invention has been described, the present invention is not limited to this. For example, you may comprise so that a wearable terminal may be utilized. Since the health care target person can wear it and carry it, it has the convenience that the service can be used anytime and anywhere. Thereby, since the health manager's own lifestyle can be transmitted to the user terminal 300 in real time, a more appropriate advice message can be received.
(3) Although the case where the health management server 100 including the artificial intelligence unit 150 automatically selects an appropriate sentence example has been described as a service according to the present invention, the present invention is not limited to this. For example, the health management server 100 selects an illustration to be used as a reference when sending an answer to a question, an advice message, etc. from a plurality of illustrations, and transmits it to the user terminal 300 owned by an expert. May be. Then, based on the selected illustration, the expert may extract a sentence example that should be recommended to the health care target person from the correspondence between the illustration stored in advance and the sentence example.
１００　健康管理サーバ
１１０　受信部
１２０　受付部
１３０　記憶部
１４０　分析部
１５０　人工知能部
１６０　生成部
１７０　送信部
１８０，１９０　表示部
２００　ユーザ端末（健康管理対象者）
３００　ユーザ端末（専門家）
４００　ネットワーク
  100 health management server 110 reception unit 120 reception unit 130 storage unit 140 analysis unit 150 artificial intelligence unit 160 generation unit 170 transmission unit 180, 190 display unit 200 user terminal (health management target person)
300 User terminal (expert)
400 network

Claims (11)

  1. 　健康管理対象者が保有する端末とネットワークを介して接続された健康管理サーバであって、
    　複数の健康管理のカリキュラム情報の中から前記健康管理対象者が選択した一のカリキュラム情報を前記端末から受信する受信部と、
    　前記受信部から出力された前記カリキュラム情報に伴う、前記健康管理対象者の行動パターンを記憶する記憶部と、
    　前記記憶部に記憶された行動パターンを、前記カリキュラム情報に基づく行動が継続されている場合の継続パターンと、前記カリキュラム情報に基づく行動が停滞した場合の停滞パターンと、に分析する分析部と、
    　前記分析部にて分析した前記健康管理対象者の行動パターンに基づき、将来予測される前記健康管理対象者の身体情報および容姿を推測する人工知能部と、
    　前記人工知能部が推測した身体情報および容姿を生成する生成部と、
    　前記生成部によって生成される前記身体情報および前記容姿を、画像または文例として前記端末に送信する送信部とを備えることを特徴とする健康管理サーバ。     A health management server connected via a network to a terminal owned by a health care target person,
    A receiving unit for receiving, from the terminal, one curriculum information selected by the health care target person from a plurality of health care curriculum information;
    A storage unit that stores the behavior pattern of the health care target person accompanying the curriculum information output from the receiving unit;
    An analysis unit that analyzes the behavior pattern stored in the storage unit into a continuation pattern when the behavior based on the curriculum information is continued and a stagnation pattern when the behavior based on the curriculum information is stagnated;
    Based on the behavior pattern of the health management subject analyzed by the analysis unit, an artificial intelligence unit that estimates the physical information and appearance of the health management subject predicted in the future,
    A generating unit for generating physical information and a figure estimated by the artificial intelligence unit;
    A health management server comprising: a transmission unit that transmits the physical information and the appearance generated by the generation unit to the terminal as images or sentence examples.
  2. 　前記記憶部には、前記健康管理対象者の現在の身体情報が記憶されており、
    　前記記憶部から出力された前記現在の身体情報を用いて、前記人工知能部によって推奨される身体情報および容姿を推測し、健康管理のカリキュラムを前記端末に対し送信することを特徴とする請求項１に記載の健康管理サーバ。     In the storage unit, current physical information of the health management subject is stored,
    The physical information and appearance recommended by the artificial intelligence unit are estimated using the current physical information output from the storage unit, and a health care curriculum is transmitted to the terminal. 1. The health management server according to 1.
  3. 　前記分析部は、前記停滞パターンよりも行動の水準が高い高水準パターンを統計解析することが可能であって、
    　前記人工知能部は、前記健康管理対象者が前記高水準パターンの行動をしたと仮定した場合に、将来予測される前記健康管理対象者の身体情報および容姿を推測することを特徴とする請求項１または２記載の健康管理サーバ。     The analysis unit can statistically analyze a high level pattern having a higher level of behavior than the stagnation pattern,
    The artificial intelligence unit, when assuming that the health management target person has performed the behavior of the high level pattern, estimates the physical information and appearance of the health management target person predicted in the future. The health management server according to 1 or 2.
  4. 　前記分析部は、前記健康管理対象者の現在の現パターンを統計解析することが可能であって、
    　前記人工知能部は、前記健康管理対象者が前記現パターンの行動をしたと仮定した場合に、将来予測される前記健康管理対象者の身体情報および容姿を推測することを特徴とする請求項１乃至３いずれか１項記載の健康管理サーバ。     The analysis unit is capable of statistically analyzing a current current pattern of the health care target person,
    The artificial intelligence unit estimates the physical information and the appearance of the health management target person predicted in the future, assuming that the health management target person has acted in the current pattern. The health management server according to any one of 3 to 3.
  5. 　前記健康管理サーバは、さらに、
    　前記健康管理対象者による、前記端末に配信される健康管理サービスの使用頻度を算出する算出部と、
    　前記使用頻度に基づき前記行動パターンの水準を判定する判定部を備えることを特徴とする請求項１乃至４いずれか１項記載の健康管理サーバ。     The health management server further includes:
    A calculation unit for calculating a use frequency of a health management service distributed to the terminal by the health management target person;
    The health management server according to claim 1, further comprising a determination unit that determines a level of the behavior pattern based on the use frequency.
  6. 　前記記憶部は、前記健康管理対象者の過去の行動パターンを記憶するものであって、
    前記人工知能部は、前記記憶部から出力された過去の行動パターンに基づき、前記健康管理対象者の性格を推測することが可能であり、
    　前記生成部は、前記健康管理対象者の推測される身体情報および容姿に基づき、推奨すべき画像および文例を生成することが可能であり、
    　前記性格と生成した画像および文例とを比較することにより前記画像および文例の妥当性を判定し、前記生成部によって推奨すべき画像および文例を再生成することを特徴とする請求項１乃至５のいずれか１項記載の健康管理サーバ。     The storage unit stores a past behavior pattern of the health care target person,
    The artificial intelligence unit can estimate the personality of the health care target person based on past behavior patterns output from the storage unit,
    The generation unit is capable of generating images and sentence examples to be recommended based on the physical information and the appearance of the health care target person,
    6. The image and the sentence example to be recommended are determined by comparing the character with the generated image and sentence example, and the image and the sentence example to be recommended are regenerated by the generation unit. The health management server according to any one of claims.
  7. 　前記健康管理サーバが再生成した画像および文例を取得して前記人工知能部にフィードバックすることを特徴とする請求項６記載の健康管理サーバ。 The health management server according to claim 6, wherein the health management server acquires images and sentence examples regenerated and feeds back to the artificial intelligence unit.
  8. 　前記健康管理サーバは、
    　前記健康管理担当者が、生成した画像および文例に基づく行動をしたか否かを判定し、前記判定の結果を取得して前記人工知能部にフィードバックすることを特徴とする請求項６または７記載の健康管理サーバ。     The health management server
    8. The health care worker determines whether or not an action based on the generated image and sentence example is performed, acquires the result of the determination, and feeds back to the artificial intelligence unit. Health management server.
  9. 　前記健康管理対象者が保有する端末は、予めグルーピングされた複数の端末を含むグルーピング端末を有し、
    　前記受信部は、前記グルーピング端末を構成する各端末からそれぞれ送信された画像情報またはメッセージ情報を受信するものであって、
    　前記健康管理サーバは、さらに、
    　前記各端末に対して送信すべき、生成した文例、画像および評価を受け付ける受付部を備え、
    　前記生成部は、前記健康管理サーバが生成した文例と、同一または類似もしくは相対する文例を所定の時間内に受信した端末を、前記グルーピング端末の中から特定し、該特定した端末を保有する健康管理対象者を比較対象者として判定し、
    　文例を生成する際に、前記比較対象者に関する情報を、前記特定した端末の表示部に表示出力するものであることを特徴とする請求項６乃至８のいずれか１項記載の健康管理サーバ。     The terminal held by the health care target person has a grouping terminal including a plurality of terminals grouped in advance,
    The reception unit receives image information or message information transmitted from each terminal constituting the grouping terminal,
    The health management server further includes:
    A reception unit that receives the generated sentence example, image, and evaluation to be transmitted to each terminal;
    The generation unit identifies a terminal that has received a sentence example that is the same, similar, or opposite to the sentence example generated by the health management server within a predetermined time from the grouping terminals, and the health that holds the identified terminal Determine the person to be managed as the person to be compared,
    The health management server according to any one of claims 6 to 8, wherein when generating a sentence example, information relating to the comparison subject is displayed and output on a display unit of the specified terminal.
  10. 　健康管理対象者が保有する端末とネットワークを介して接続された健康管理サーバ制御方法であって、
    　複数の健康管理のカリキュラム情報の中から前記健康管理対象者が選択した一のカリキュラム情報を前記端末から受信する受信ステップと、
    　前記受信ステップから出力された前記カリキュラム情報に伴う、前記健康管理対象者の行動パターンを記憶する記憶ステップと、
    　前記記憶ステップに記憶された行動パターンを、前記カリキュラム情報に基づく行動が継続されている場合の継続パターンと、前記カリキュラム情報に基づく行動が停滞した場合の停滞パターンと、に分析する分析ステップと、
    　前記分析ステップにて分析した前記健康管理対象者の行動パターンに基づき、将来予測される前記健康管理対象者の身体情報および容姿を推測する人工知能ステップと、
    　前記人工知能ステップが推測した身体情報および容姿を生成する生成ステップと、
    　前記生成ステップによって生成される前記身体情報および前記容姿を、画像または文例として前記端末に送信する送信ステップとを含む健康管理サーバ制御方法。     A health management server control method connected via a network to a terminal owned by a health care target person,
    A receiving step of receiving, from the terminal, one curriculum information selected by the health care target person from a plurality of health care curriculum information;
    A storage step of storing the behavior pattern of the person to be health-managed with the curriculum information output from the reception step;
    An analysis step for analyzing the behavior pattern stored in the storage step into a continuation pattern when the behavior based on the curriculum information is continued and a stagnation pattern when the behavior based on the curriculum information is stagnated;
    Based on the behavior pattern of the health management subject analyzed in the analysis step, an artificial intelligence step for estimating the physical information and appearance of the health management subject predicted in the future;
    A generating step for generating physical information and appearance estimated by the artificial intelligence step;
    A health management server control method comprising: a transmission step of transmitting the physical information and the appearance generated by the generation step to the terminal as images or sentence examples.
  11. 　健康管理対象者が保有する端末とネットワークを介して接続された健康管理プログラムであって、
    　コンピュータに、
    　複数の健康管理のカリキュラム情報の中から前記健康管理対象者が選択した一のカリキュラム情報を前記端末から受信する受信機能と、
    　前記受信機能から出力された前記カリキュラム情報に伴う、前記健康管理対象者の行動パターンを記憶する記憶機能と、
    　前記記憶機能に記憶された行動パターンを、前記カリキュラム情報に基づく行動が継続されている場合の継続パターンと、前記カリキュラム情報に基づく行動が停滞した場合の停滞パターンと、に分析する分析機能と、
    　前記分析機能にて分析した前記健康管理対象者の行動パターンに基づき、将来予測される前記健康管理対象者の身体情報および容姿を推測する人工知能機能と、
    　前記人工知能機能が推測した身体情報および容姿を生成する生成機能と、
    　前記生成機能によって生成される前記身体情報および前記容姿を、画像または文例として前記端末に送信する送信機能とを含む健康管理プログラム。     A health care program connected via a network to a terminal owned by a health care target person,
    On the computer,
    A receiving function for receiving, from the terminal, one curriculum information selected by the health care target person from a plurality of health care curriculum information;
    A storage function for storing the behavior pattern of the health care target person accompanying the curriculum information output from the reception function;
    An analysis function for analyzing the behavior pattern stored in the memory function into a continuation pattern when the behavior based on the curriculum information is continued and a stagnation pattern when the behavior based on the curriculum information is stagnated;
    Based on the behavior pattern of the health management subject analyzed by the analysis function, an artificial intelligence function that estimates the physical information and appearance of the health management subject predicted in the future;
    A generation function for generating the body information and appearance estimated by the artificial intelligence function;
    A health management program including a transmission function for transmitting the physical information and the appearance generated by the generation function to the terminal as images or sentence examples.
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WO2022254625A1 (en) * 2021-06-02 2022-12-08 日本電信電話株式会社 Prediction device, learning device, prediction method, learning method, and program

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