Health management system, health management method, and program

Abstract

To provide a technique for improving motivation for health management.SOLUTION: A body type prediction part 16 predicts a future body type of a user A. The body type prediction part 16 predicts a future body type of a user B. The body type prediction part 16 is one specific example of first body type prediction means and second body type prediction means. A predicted body type image generation part 17 generates a predicted body type image 31 representing the future body type of the user A predicted by the body type prediction part 16. The predicted body type image generation part 17 generates a predicted body type image 33 representing the future body type of the user B predicted by the body type prediction part 16. The predicted body type image generation part 17 is one specific example of first predicted body type image generation means and second predicted body type image generation means. An output part 18 outputs the predicted body type image 31 and the predicted body type image 33 to UE 3A of the user A such that the predicted body type image 31 of the user A and the predicted body type image 33 of the user B are displayed together.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present invention relates to a health management system, a health management method, and a program. [Background technology]

[0002] Patent Document 1 discloses a body shape change prediction device for grasping future changes in one's own body shape. Specifically, the device predicts an increase or decrease in body fat after a prediction period based on basic information such as the age, sex, height, and weight of the person whose body shape change is to be predicted, information about the body fat percentage, information about daily calorie intake, information about daily exercise, and a prediction period, and then processes an image of the person based on the prediction result and outputs the processed image.

[0003] Patent Document 2 discloses a health management server that transmits the current appearance and predicted future appearance of a person under health management to a user terminal. The health management server sets a rival for the person under health management, and displays information about the appearance sent to the rival on the user terminal. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2014-147566 [Patent Document 2] Japanese Patent Application Laid-Open No. 2017-91586 Summary of the Invention [Problem to be solved by the invention]

[0005] The above-mentioned Patent Documents 1 and 2 leave room for improvement in terms of motivation for health management.

[0006] An object of the present disclosure is to provide a technology that improves motivation for health management. [Means for solving the problem]

[0007] According to a first aspect of the present disclosure, a first body shape prediction means for predicting a future body shape of a first user; a first predicted body type image generating means for generating a first predicted body type image showing the body type predicted by the first body type predicting means; a second body shape prediction means for predicting a future body shape of a second user; a second predicted body type image generating means for generating a second predicted body type image showing the body type predicted by the second body type predicting means; an output means for outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are displayed together; Including, A health care system is provided. The future body shape may be a body shape after a predicted period has elapsed from the present time. a first current body shape image generating means for generating a first current body shape image showing the current body shape of the first user; a second current body shape image generating means for generating a second current body shape image showing the current body shape of the second user; Further comprising: The output means may output the first current body type image, the second current body type image, the first predicted body type image, and the second predicted body type image to the user terminal of the first user so that the first current body type image and the second current body type image are displayed together with the first predicted body type image and the second predicted body type image. further comprising a rival determination means for determining the second user from among a plurality of users; The rival determination means may determine, as the second user, a user from among a plurality of users whose current body type is closest to the current body type of the first user. further comprising a rival determination means for determining the second user from among a plurality of users; The rival determination means may determine, as the second user, a user from among a plurality of users whose target body type is closest to the target body type of the first user. further comprising a rival determination means for determining the second user from among a plurality of users; The rival determination means may determine, as the second user, a user whose predicted body type is closest to a target body type among a plurality of users. According to a second aspect of the present disclosure, The computer a first body shape prediction step of predicting a future body shape of a first user; a first predicted body type image generating step of generating a first predicted body type image showing the body type predicted by the first body type predicting step; a second body shape prediction step of predicting a future body shape of a second user; a second predicted body type image generating step of generating a second predicted body type image showing the body type predicted by the second body type predicting step; an output step of outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are displayed together; To execute A health care method is provided. According to a third aspect of the present disclosure, On the computer, a first body shape prediction step of predicting a future body shape of a first user; a first predicted body type image generating step of generating a first predicted body type image showing the body type predicted by the first body type predicting step; a second body shape prediction step of predicting a future body shape of a second user; a second predicted body type image generating step of generating a second predicted body type image showing the body type predicted by the second body type predicting step; an output step of outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are displayed together; Execute Health management programs are provided. [Effects of the Invention]

[0008] According to the present disclosure, motivation for health management can be improved. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a schematic diagram of a health management system. [Figure 2] FIG. 2 is a functional block diagram of a health management server. [Figure 3] FIG. 2 is a functional block diagram of a UE. [Figure 4] FIG. 10 is a diagram showing an example of a display of a UE. [Figure 5] 1 is a control flow of a health management server. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, an embodiment of the present disclosure will be described with reference to FIGS. 1 to 5. FIG. 1 shows a schematic diagram of a health management system 1. As shown in FIG. 1, the health management system 1 includes a health management server 2 and multiple UEs (User Equipment) 3. The health management server 2 and the multiple UEs 3 are configured to be able to communicate bidirectionally via a wide area network (WAN) 4 such as the Internet. The multiple UEs 3 include a UE 3A owned by user A, a UE 3B owned by user B, a UE 3C owned by user C, and a UE 3D owned by user D. Each UE 3 is typically a mobile phone, a smartphone, a tablet, or a personal computer.

[0011] (Health Management Server 2) FIG. 2 shows a functional block diagram of the health management server 2. The health management server 2 provides health management services to multiple users. The health management server 2 includes a central processing unit (CPU) 2a, a read / write random access memory (RAM) 2b, and a read-only memory (ROM) 2c. The health management server 2 also includes a hard disk drive (HDD) 2d and a communication interface 2e. The CPU 2a reads and executes control programs stored in the ROM 2c and HDD 2d, causing the control programs to cause the hardware, such as the CPU 2a, to function as a database 10, a data receiving unit 11, a data updating unit 12, a training unit 13, a rival determination unit 14, a current body shape image generation unit 15, a body shape prediction unit 16, a predicted body shape image generation unit 17, and an output unit 18.

[0012] A plurality of user accounts are registered in the health management server 2.

[0013] The database 10 stores user accounts in association with body type data, exercise data, diet data, target body type data, and instruction messages.

[0014] The body type data is data that indicates the current body type of the corresponding user. The body type typically includes height, weight, BMI (Body Mass Index), chest circumference, waist circumference, and other physical characteristics.

[0015] The exercise data indicates the exercise history of the corresponding user, and typically includes the date and time of exercise, the type of exercise, the duration of exercise, and the amount of calories burned.

[0016] The dietary data is data indicating the dietary history of the corresponding user, which typically includes the date and time of meals and the amount of calories ingested.

[0017] The target body type data is data that indicates a target body type of the corresponding user.

[0018] The instructional message is a message that indicates the exercise habits and dietary habits that the corresponding user needs to achieve their target body shape. The exercise habits are typically expressed by the amount of daily exercise, and the dietary habits are typically expressed by the amount of daily food intake.

[0019] The data receiving unit 11 receives body type data, exercise data, diet data, and target body type data from the UE 3 via the communication interface 2e.

[0020] The data update unit 12 updates the database 10 with the data received by the data receiving unit 11 .

[0021] The instruction unit 13 generates an instruction message for each user based on the exercise data, diet data, and target body shape data, and updates the database 10 with the generated instruction message.

[0022] The rival determination unit 14 determines users who will be rivals of user A. Hereinafter, rival users will be simply referred to as rivals. For example, the rival determination unit 14 determines, as a rival, a user whose current body shape is closest to the current body shape of user A, among multiple users other than user A. In other words, by designating users whose current body shapes are similar as rivals, it is possible to level the starting line for body shape improvement.

[0023] Alternatively, the rival determination unit 14 may determine, as a rival, a user whose target body type is closest to the target body type of user A, among multiple users other than user A. In other words, by determining users whose target body types are similar as rivals, it is possible to align the goals of body shape improvement.

[0024] Alternatively, the rival determination unit 14 may determine as a rival a user whose predicted body type is closest to the target body type among multiple users excluding user A. That is, a user whose predicted body type has the smallest difference from the target body type has a high motivation for health management, and therefore such a user can be a good example for improving body type.

[0025] The rival determination unit 14 similarly determines rivals of other users. That is, the rival determination unit 14 determines, for each user, the rivals of that user.

[0026] The current body type image generating unit 15 generates a current body type image showing the current body type of each user based on the body type data of the user. The current body type image is typically an avatar image.

[0027] The body type prediction unit 16 predicts the body type of each user after a predetermined period of time based on the user's exercise data and dietary data. "After a predetermined period of time" typically means after a prediction period has elapsed from the present time. The prediction period is, for example, six months or twelve months.

[0028] The predicted body type image generating unit 17 generates a predicted body type image showing the predicted body type predicted by the body type prediction unit 16 for each user. The predicted body type image is typically an avatar image. The predicted body type may be thinner than the current body type due to weight loss efforts, or may be fatter than the current body type due to lack of weight loss efforts.

[0029] The output unit 18 outputs each of the current body shape images and each of the predicted body shape images to each of the UEs 3 via the communication interface 2e so that the two rival users can check each other's body shape improvement results.

[0030] Suppose user A's rival is user B. In this case, the output unit 18 outputs the current body type image and predicted body type image of user A and the current body type image and predicted body type image of user B to UE3A and UE3B. More specifically, the output unit 18 outputs the current body type image and predicted body type image of user A and the current body type image and predicted body type image of user B to UE3A and UE3B so that these images are displayed together. In this case, the output unit 18 may integrate the current body type image and predicted body type image of user A and the current body type image and predicted body type image of user B to generate a single image and output the generated integrated image to UE3A and UE3B.

[0031] (UE3) Next, the UE 3 will be described with reference to Fig. 3. The following describes a UE 3A owned by a user A. It is also assumed that a rival of the user A is a user B.

[0032] FIG. 3 shows a functional block diagram of UE3. UE3 is an information terminal owned by a user who uses health management server 2. UE3 includes a central processing unit (CPU) 3a as a central processing unit, a random access memory (RAM) 3b that is readable and writable, and a read-only memory (ROM) 3c. UE3 also includes a liquid crystal display (LCD) 3d and a communication interface 3e. When CPU 3a reads and executes a control program stored in ROM 3c, the control program causes hardware such as CPU 3a to function as a data receiving unit 20, a data transmitting unit 21, an image receiving unit 22, and a display control unit 23.

[0033] The data receiving unit 20 receives data input by the user. The user inputs body type data, exercise data, diet data, and target body type data to the UE 3.

[0034] The data transmission unit 21 transmits the body type data, exercise data, diet data, and target body type data input by the user to the health management server 2 via the communication interface 3e.

[0035] The image receiving unit 22 receives the current body shape image and predicted body shape image of user A and the current body shape image and predicted body shape image of user B from the health management server 2. The UE 3 may also receive an instruction message from the health management server 2.

[0036] The display control unit 23 displays the current body type image and predicted body type image of user A and the current body type image and predicted body type image of user B received from the health management server 2 on the LCD 3d. FIG. 4 shows an example of a display on the LCD 3d of the UE 3A. As shown in FIG. 4, the LCD 3d of the UE 3A simultaneously displays the current body type image 30 and predicted body type image 31 of user A and the current body type image 32 and predicted body type image 33 of user B. The display control unit 23 may alternately display the current body type image 30 and predicted body type image 31 of user A on the LCD 3d, for example, every few seconds. Similarly, the display control unit 23 may alternately display the current body type image 32 and predicted body type image 33 of user B on the LCD 3d, for example, every few seconds. Displaying User A's current body image 30 and predicted body image 31, and User B's current body image 32 and predicted body image 33 together means that User A's current body image 30 and predicted body image 31, and User B's current body image 32 and predicted body image 33 can be viewed simultaneously or alternately on the same screen. In the display example of Figure 4, User A will likely feel that a rival with a similar body type will have successfully lost weight in six months, while User A will not have lost weight and will instead have clearly gained weight in six months. As a result, User A will reflect on his or her own health management and will be highly motivated to manage his or her health in the future.

[0037] The display control unit 23 may cause the guidance message 34 received from the health management server 2 to be displayed on the LCD 3d, as shown in FIG.

[0038] Next, the control flow of the health management server 2 will be described with reference to FIG.

[0039] First, the data receiving unit 11 receives body type data, exercise data, diet data, and target body type data from the UE 3 via the communication interface 2e (S100). The data updating unit 12 updates the database 10 with the data received by the data receiving unit 11.

[0040] Next, the rival determination unit 14 determines a rival for each user (S110).

[0041] Next, the current body type image generating unit 15 generates a current body type image showing the current body type of each user based on the body type data of the user (S120).

[0042] Next, the body type prediction unit 16 predicts the body type of each user after a predetermined period of time based on the exercise data and dietary data of the user (S130).

[0043] Next, the predicted body type image generating unit 17 generates a predicted body type image showing the body type predicted by the body type predicting unit 16 for each user (S140).

[0044] Next, the output unit 18 outputs the current body shape image and predicted body shape image of user A and the current body shape image and predicted body shape image of user B to UE3A and UE3B via the communication interface 2e so that these images are displayed together (S150).

[0045] The embodiments of the present disclosure have been described above, and the above embodiments have the following features.

[0046] That is, the health management server 2 includes a body type prediction unit 16, a predicted body type image generation unit 17, and an output unit 18. The body type prediction unit 16 predicts the future body type of user A (first user). The body type prediction unit 16 predicts the future body type of user B (second user). The body type prediction unit 16 is a specific example of a first body type prediction means and a second body type prediction means. The predicted body type image generation unit 17 generates a predicted body type image 31 indicating the future body type of user A predicted by the body type prediction unit 16. The predicted body type image generation unit 17 generates a predicted body type image 33 indicating the future body type of user B predicted by the body type prediction unit 16. The predicted body type image generation unit 17 is a specific example of a first predicted body type image generation means and a second predicted body type image generation means. The output unit 18 outputs the predicted body type image 31 (first predicted body type image) of user A and the predicted body type image 33 (second predicted body type image) of user B to the UE 3A of user A so that they are displayed together. The above configuration can improve user A's motivation for health management.

[0047] The future body type is the body type after a prediction period has elapsed from the present time. The prediction period is, for example, six months or twelve months. With the above configuration, the body type prediction unit 16 can predict the long-term results of health management.

[0048] The health management server 2 further includes a current body type image generation unit 15. The current body type image generation unit 15 generates a current body type image 30 (first current body type image) that shows the current body type of user A. The current body type image generation unit 15 generates a current body type image 32 (second current body type image) that shows the current body type of user B. The current body type image generation unit 15 is a specific example of a first current body type image generation means and a second current body type image generation means. The output unit 18 then outputs the current body type image 30, the current body type image 32, the predicted body type image 31, and the predicted body type image 33 to user A's UE 3A so that the current body type image 30 and the current body type image 32 are displayed together with the predicted body type image 31 and the predicted body type image 33, as shown in FIG. 4. With the above configuration, user A can compare current body shape image 30 with predicted body shape image 31, current body shape image 32 with predicted body shape image 33, current body shape image 30 with current body shape image 32, and predicted body shape image 31 with predicted body shape image 33. This allows user A to easily recognize the difference in motivation for health management between user A and user B. That is, in the example of FIG. 4, user A will be aware that his / her motivation for health management is significantly lower than that of user B. User A will then be inspired by user B and will increase his / her motivation for health management.

[0049] The above embodiment can be modified, for example, as follows. That is, the rival determination unit 14 may determine user X, who was user A at a first time point in the past, as user A's rival. In this case, the current body image generation unit 15 generates a current body image of user X based on user X's body data. The predicted body image generation unit 17 generates a predicted body image of user X based on user X's body data at a second time point after a prediction period has elapsed from the first time point. Then, the output unit 18 outputs the current and predicted body images of user A and the current and predicted body images of user X to the UE 3A so that these images are displayed together. In this way, by considering his or her own past successful experiences as a rival, user A can believe that his or her health management efforts will be rewarded, which may further increase his or her motivation for health management.

[0050] In the above examples, the program can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives) and magneto-optical recording media (e.g., magneto-optical disks). Further examples of non-transitory computer-readable media include CD-ROM (Read Only Memory), CD-R, CD-R / W, and semiconductor memory (e.g., mask ROM). Further examples of non-transitory computer-readable media include PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, and RAM (Random Access Memory). The program may also be supplied to a computer by various types of transitory computer-readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire or an optical fiber, or via a wireless communication path. [Explanation of symbols]

[0051] 1. Health Management System 2. Health Management Server 3UE 10 Databases 11 Data receiving unit 12 Data Update Section 13 Leadership 14 Rival Decision Section 15 Current body shape image generation unit 16 Body Shape Prediction Department 17. Predicted body shape image generation unit 18 Output section 20 Data Reception Department 21 Data transmission unit 22 Image receiving unit 23 Display control unit 30 Current body image 31 Predicted body shape image 32 Current body image 33 Predicted body shape image 34 Guidance Message

Claims

1. A first body shape prediction means for predicting a future body shape of a first user; a first predicted body type image generating means for generating a first predicted body type image showing the body type predicted by the first body type predicting means; a second body shape prediction means for predicting a future body shape of a second user; a second predicted body type image generating means for generating a second predicted body type image showing the body type predicted by the second body type predicting means; an output means for outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are simultaneously displayed; a rival determination means for determining the second user from among a plurality of users; Including, the rival determination means determines, among a plurality of users, a user whose current body type is closest to the current body type of the first user as the second user; Health management system.

2. A first body shape prediction means for predicting a future body shape of a first user; a first predicted body type image generating means for generating a first predicted body type image showing the body type predicted by the first body type predicting means; a second body shape prediction means for predicting a future body shape of a second user; a second predicted body type image generating means for generating a second predicted body type image showing the body type predicted by the second body type predicting means; an output means for outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are simultaneously displayed; a rival determination means for determining the second user from among a plurality of users; Including, the rival determination means determines, among a plurality of users, a user whose target body type is closest to the target body type of the first user as the second user; Health management system.

3. A first body shape prediction means for predicting a future body shape of a first user; a first predicted body type image generating means for generating a first predicted body type image showing the body type predicted by the first body type predicting means; a second body shape prediction means for predicting a future body shape of a second user; a second predicted body type image generating means for generating a second predicted body type image showing the body type predicted by the second body type predicting means; an output means for outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are simultaneously displayed; a rival determination means for determining the second user from among a plurality of users; Including, the rival determination means determines, among a plurality of users, a user whose predicted body type is closest to a target body type of the first user as the second user; Health management system.

4. The health management system according to any one of claims 1 to 3, The future body shape is a body shape after a predicted period has elapsed from the present time. Health management system.

5. The computer a first body shape prediction step of predicting a future body shape of a first user; a first predicted body type image generating step of generating a first predicted body type image showing the body type predicted by the first body type predicting step; a second body shape prediction step of predicting a future body shape of the second user; a second predicted body type image generating step of generating a second predicted body type image showing the body type predicted by the second body type predicting step; an output step of outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are simultaneously displayed; a rival determination step of determining, as the second user, a user among a plurality of users whose current body type is closest to the current body type of the first user; To execute Health management method.

6. The computer a first body shape prediction step of predicting a future body shape of a first user; a first predicted body type image generating step of generating a first predicted body type image showing the body type predicted by the first body type predicting step; a second body shape prediction step of predicting a future body shape of the second user; a second predicted body type image generating step of generating a second predicted body type image showing the body type predicted by the second body type predicting step; an output step of outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are simultaneously displayed; a rival determination step of determining, as the second user, a user among a plurality of users whose target body type is closest to the target body type of the first user; To execute Health management method.

7. The computer a first body shape prediction step of predicting a future body shape of a first user; a first predicted body type image generating step of generating a first predicted body type image showing the body type predicted by the first body type predicting step; a second body shape prediction step of predicting a future body shape of the second user; a second predicted body type image generating step of generating a second predicted body type image showing the body type predicted by the second body type predicting step; an output step of outputting the first predicted body type image and the second predicted body type image to a user terminal of the first user so that the first predicted body type image and the second predicted body type image are simultaneously displayed; a rival determination step of determining, as the second user, a user whose predicted body type is closest to a target body type of the first user among a plurality of users; To execute Health management method.

8. A computer is caused to execute the health management method according to any one of claims 5 to 7. Health management program.

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