JP2008242963A - Health analysis display method and health analysis display device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To allow a user to effectively recognize his/her health condition. <P>SOLUTION: Information on current physical condition, information on life style, information on environmental factors, a skin image of the skin, and a prediction period are inputted from a PC 11. A server 12 estimates, based on the input information/image, the health condition/physical age/skin age/figure of the user, and specifies an improvement plan. The health condition/physical age/skin age/figure of the user after the lapse of the prediction period are also predicted. The result thereof, improvement plan and prediction result are displayed on a monitor 15, and each whole body image of the estimated figure and the predicted figure is formed and displayed. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a health analysis display method and apparatus capable of grasping and improving a user's health condition and the like.

Current health status and predicted in the future based on input information on personal health (eg height, weight, age, sex, etc.) and lifestyle information (eg meals, sleep time, work, etc.) A health management system that displays health status, disease, risk, and the like is known (for example, Patent Document 1). Moreover, in this patent document 1, advices such as meal ideas and elimination of exercise deficiencies are displayed from past meal contents and daily life data, and further improvement targets are set, and the degree of achievement of the targets is simulated in the state of flowers, for example. The target achievement awareness is raised by displaying it visually. Also, a method has been proposed in which the skin surface is photographed, the skin surface is enlarged and displayed on a monitor, and the skin age is calculated by analyzing the photographed skin image (see Patent Document 2).
JP 11-47096 A JP 2002-182005 A

  By the way, as described above, displaying the health condition, disease or risk prediction, or displaying the degree of goal achievement in a pseudo manner has some effect on raising awareness of goal achievement. However, there is a problem that it is difficult to raise the motivation for improvement by recognizing the user's own current state and future health condition.

  The present invention has been made to solve the above problems, and an object of the present invention is to provide a health analysis display method and apparatus that can improve the health awareness of the user and expect improvement of the health condition. .

  In the health analysis display method according to claim 1, an input step of inputting, as input information, information relating to the current body condition, information relating to lifestyle, information relating to environmental factors, and an image of a part of the body or an image of the whole body. And an analysis step for estimating the current body state based on the input information, a period to be predicted is specified, and the body state after the specified period is based on the estimation result A prediction image creation step for creating a prediction image of a part of the body or the whole body predicted after a specified period based on the predicted body state and the input image; And a display step for displaying the estimated current body state, the predicted body state, and the predicted image created by the predicted image creating means.

  The health analysis display method according to claim 2, wherein conditions necessary for bringing the predicted body state closer to the ideal state are determined from the input information, and an improvement measure specification for specifying an improvement measure for realizing the determination result is specified. Steps are provided, and in the display step, the improvement measures identified by the improvement measure identification step are further displayed.

  In the health analysis display method according to claim 3, according to the improvement measure specifying step, as an improvement measure, calories and nutrients to be taken in a meal, functional components, calories to be consumed by exercise, lifestyle and body condition The exercise method and lifestyle to be improved are specified.

  In the health analysis display method according to claim 4, in the input step, an image including a skin part is input as an image of a part of the body or an image of the whole body, and a predictive image creation step is performed on the skin obtained from the input image. Based on the feature amount and the predicted body state, a skin image corresponding to the skin state predicted after a specified period is obtained.

  6. The health analysis display method according to claim 5, wherein in the prediction image creation step, the whole body having a skin state and a body shape predicted after a specified period from the predicted body state and the predicted skin state. An image is created.

  In the health analysis display method according to claim 6, the body state is the health state, body age, skin age, and body type. In the health analysis display method according to claim 7, the predicting step predicts the body state after a specified period when the improvement measure specified by the improvement measure specifying step is performed. .

  In the health analysis display device according to claim 8, information input means for inputting information on the current state of the body, information on lifestyle, and information on environmental factors as input information, and an image of a part of the body or a whole body image By the image input means to be input, the analysis means for estimating the current body state based on the input information and the image that has been input, the specifying means for specifying the period for which the body state should be predicted, Based on the estimation result, a prediction means for predicting a body state after a specified period, a body state predicted by the prediction means, and an input image are used for prediction after a specified period. A predicted image creating means for creating a predicted image of the state of a part of the body or the whole body; a current body state estimated by the analyzing means; a body state predicted by the predicting means; It is obtained and a display means for displaying the predicted image created by the prediction image generating means.

  Enter information about the current body condition, information about lifestyle, information about environmental factors, and images of a part of the body or an image of the whole body, and based on these, the current body condition and the specified period Since the future body state is predicted and a predicted image based on the predicted body state is displayed together with the result, the future state can be visually recognized. Effectively raise health awareness.

  FIG. 1 shows a health analysis display system 10 embodying the present invention. In this health analysis display system 10, information is input using a personal computer (hereinafter abbreviated as “PC”) 11, analysis is performed by the server 12, and the result is displayed on the PC 11.

  The PC 11 includes a keyboard 13, a mouse 14, and a monitor 15. In addition to various programs and data for operating the PC 11, the PC 11 stores application programs for inputting various information for health analysis and displaying analysis results by the server 12. In addition, you may make it display the display of an input screen, an analysis result, etc. using the general-purpose browser software which refers to a WEB page.

  By operating the keyboard 13 and the mouse 14, information on the current body state, information on lifestyle, and information on environmental factors (hereinafter collectively referred to as basic information) are input. Examples of information relating to the user's current body condition include gender, height, age, weight, waist size, hip size, blood pressure, and the like. Information on lifestyle includes meal contents, favorite foods, disliked foods, likes and dislikes sweets, frequency and amount of alcohol consumption, presence / absence and number of smoking, daily walking time, meal time, bedtime, etc. There are sleeping time, time from dinner to bedtime, presence or absence of exercise, kind, time, etc. Furthermore, information on environmental factors includes work content, commuting time, relative health, living area, and the like. Further, by operating the keyboard 13 and the mouse 14, a period to be predicted such as a future health condition can be designated, for example, in units of one year.

  The monitor 15 displays an input screen for inputting the basic information, and also displays an analysis result analyzed by the server 12 based on the basic information and the like, a future prediction result, and the like. The method for displaying and outputting the analysis result, the prediction result, etc. is not limited to the monitor display, and may be printed.

  For example, a digital camera 16 is connected to the PC 11 as image input means. In the digital camera 16, a user's arbitrary skin part is image | photographed, a skin image is created, and it captures in PC11. The image input means is not limited to a digital camera. For example, a skin image that has been captured in advance may be stored in a USB memory or a memory card, and may be loaded into the PC 11. In addition to a still image, a moving image or the like may be input.

  The PC 11 and the server 12 are connected by a LAN, the Internet, a telephone line, etc., and exchange data with each other. A plurality of PCs 11 can be connected to the server 12. The server 12 includes a CPU 21 and a hard disk 22 that constitutes various databases. The CPU 21 functions as an analysis unit 23, an improvement measure specifying unit 24, a prediction unit 25, and a predicted image creation unit 26 by executing a predetermined program. A personal database 27, a state database 28, a skin age database 29, and a body shape database 30 are created on the hard disk 22.

  The basic information and skin image from the PC 11 are registered in the personal database 27 by the CPU 21. In this personal database 27, in addition to basic information and skin images from the PC 11, estimation results, improvement measures, and prediction results, which will be described later, are classified and registered for each user and each use.

  In the state database 28, based on the input basic information, the health status of the body such as how to attach visceral fat, blood vessel age, body type, possibility of suffering from various diseases and the possibility of being affected, and body age Data for estimation is registered.

  In the skin age database 29, data for estimating the skin age from the skin image and data necessary for reproducing the estimated skin state as a skin image are registered. For example, data for estimating skin age from a skin image is a feature value obtained by quantifying the skin groove density (texture) or the like, and data for reproducing the skin condition is a normal that expresses standard skin irregularities. Each map is registered by age. The body shape database 29 stores body shape model data for representing various body shapes as images, and is used when creating a 3D whole body image.

  The analysis means 23 estimates the current state of the user's body. The body condition includes the above-mentioned health condition, body age, skin age, and body type. The analysis means 23 estimates the user's health status from the basic information and the status database 28. In this estimation, for example, a reference health state is estimated from the state database 28 using the input information on the current body condition as an element, and the estimated reference health state is used as information on lifestyle and environmental factors. It is calculated by correcting with the correction value calculated from the state database 28 as information on the element. The body age and body type are also estimated by referring to data registered in the state database based on the basic information as in the case of the health state.

  The analysis unit 23 estimates the skin age based on the skin image. For the skin age, the input skin image is analyzed to obtain a feature amount, and the age of the feature amount on the skin age database 29 closest to the feature amount is defined as the skin age.

  The analysis means 23 processes the estimation results of the health state, body age, and body type together with information that is the basis of the estimation, and feeds it back to the state database 28. For example, the state database 28 is learned by updating a parameter relating to the correlation of each data in the state database 28 after registration, thereby improving the estimation accuracy. Similarly, the estimated skin age, feature amount, and predetermined basic information are fed back to the skin age database 29 to learn the skin age database 29 and improve the estimation accuracy.

  The improvement measure specifying means 24 determines a condition necessary to bring the estimated user's body state closer to the ideal state based on the estimated body state and the input basic information, and the determination result is determined. Specific improvement measures to realize, for example, calories and nutrients to be consumed in the diet, functional ingredients, calorie to be consumed by exercise, lifestyle and physical exercise methods according to the state of the body, lifestyle to be improved And specify. As the ideal state, an ideal health state at the age of the user input as basic information, a body age that is the same as the age, and the like are used.

  The prediction means 25 predicts the future health state, body age, skin age, and body type after the specified period. In this prediction, the current state of health, body age, and skin age estimated by the analysis means 23 are used as a starting point for a year when living under basic lifestyle information and environmental factors. The process of obtaining and updating the change amount of each health state, body age, and skin age is performed for a specified period. Moreover, the prediction means 25 predicts the user's body shape after the designated period based on the predicted health condition and body age.

  The predicted image creating means 26 selects a skin normal map corresponding to the skin age predicted by the predicting means 25 from the skin age database 29, and selects predicted body model data from the body database 30. By rendering the composite of the normal map and the body model data, a 3D whole body image of the predicted skin age and body shape is created. The predicted image creating means 26 also shows a 3D whole body image of the skin state and body shape of the user's current skin age based on the body shape and skin age estimated by the analyzing means 23 in order to show a change in body shape. Is created in the same way.

  The CPU 21 transmits the health state, body age, body type, skin age, identified improvement measures, current whole body image, predicted whole body image, and the like estimated and predicted as described above to the PC 11 and displayed on the monitor 15. .

  FIG. 2 shows an example of the analysis result screen displayed on the monitor 15. The display field 35 displays the current state, and main basic information input by the user is displayed. Further, in this display column 35, estimated values of “basal metabolism”, “calorie intake”, “skin age”, and “body age” obtained by estimation by the analysis means 23 from basic information are displayed. The display column 36 displays a predicted state after a specified period (in this example, five years later), and includes “basal metabolism”, “weight”, “waist”, “hip”, “blood pressure”, Predicted values by the predicting means 25 are displayed as “skin age” and “body age”.

  The display column 37 shows the calories necessary for one day, the surplus calories in one day, and the weight increase predicted after the specified period when the surplus calories continue. The display column 38 displays whether the figure after the specified period is “pear type” or “apple type”, and the display column 39 is the current 3D whole body image 39a created by the predicted image creation means 26. The predicted 3D whole body image 39b is displayed to show the body shape change.

  Each of the 3D whole body images 39a and 39b can be enlarged or rotated by operating the mouse 14 or the like, and the body shape can be confirmed by changing the viewing angle, or the skin state can be confirmed by displaying the enlarged image. The display column 40 displays the future health state after the designated period predicted by the prediction unit 25, the improvement measure specified by the improvement measure specifying unit 24, the effect thereof, and the like. Note that a skin image predicted to be current may be displayed instead of the whole body image or separately from the whole body image.

  Next, the operation of the above configuration will be described with reference to FIG. The user operates the keyboard 13 and the mouse 14 to input basic information, that is, information on the current body state, information on lifestyle, and information on environmental factors. Further, the skin is photographed by the digital camera 16 and the skin image is taken into the PC 11. The skin image may be an image of any part of the body, but is preferably a part where spots or wrinkles can be recognized, for example, an image of facial skin. Alternatively, the skin may be photographed so as to include the whole body or the face, and the skin portion may be extracted and used from the image obtained by the photographing, for example, by processing on the server 12 side. Furthermore, the keyboard 13 and the mouse 14 are operated to specify a period to be predicted such as a future health condition.

  When basic information, a period to be predicted, and a skin image are input, they are sent from the PC 11 to the server 12 and registered in the personal database 27 by the CPU 21. Thereafter, the registered basic information is read out, and the health state, body age, and body type of the user are estimated by the analyzing means 23 from the basic information and data in the state database 28. Further, the analysis unit 23 obtains a feature amount from the skin image. Then, the age of the standard feature amount that matches or is closest to the feature amount is specified on the skin age database 29, and the age is estimated as the current skin age of the user.

  The body age and health condition may be estimated by taking the skin age into account. Alternatively, the whole body image may be input, and the body shape of the user may be determined from the whole body image, or the body shape may be used for estimating the health state.

  When the health state, body age, body type, and skin age are estimated as described above, the results are registered in the personal database 27. The estimated health state, body age, and body type are subjected to predetermined data processing together with basic information and registered in the state database 28, and the estimated skin age is determined according to predetermined data processing together with feature amounts and basic information. Is registered in the skin age database 29. After this registration, each database 28 and 29 performs a learning process such as updating parameters relating to data correlation. By performing the database learning process in this way, the estimation accuracy of the health state / body age / skin age estimated using the databases 28 and 29 each time the number of users increases is improved. Note that such a database learning process may be performed last.

  On the other hand, based on the estimated health condition, body age, skin age, body type, and basic information, the improvement measure specifying means 24 determines conditions necessary to bring the user's current body condition closer to the ideal state. Further, it is specified as a specific improvement measure for realizing the condition, and the specified improvement measure is registered in the personal database 27. In addition, when the life style and environmental factors entered as basic information are continued, the health after the period specified by the user, starting from the health status, body age, and skin age of the current user The state, body age and skin age are predicted by the prediction means 25. Further, based on the predicted health condition and body age, the body shape of the user after the specified period is obtained. Each result predicted in this way is registered in the personal database 27.

  After the prediction is performed as described above, the predicted image creation means 26 reads the skin normal map corresponding to the predicted skin age from the skin age database 29 and the body model data of the predicted body shape is the body shape. Read from the database 30. Then, by synthesizing the read normal map and the body model data, rendering is performed to create a 3D whole body image of the predicted body shape and skin state of the user. Similarly, a 3D whole body image of the user's current body shape and skin state is created based on the current body shape and skin age estimated by the analysis means 23. Each of these whole body images is registered in the personal database 27.

  As described above, estimation, prediction, identification of improvement measures, and creation of a whole body image are performed, and when the process of registering each in the personal database and making it available for reference the next time is completed, The prediction result, the specified improvement measure, and each whole body image are read from the personal database 27 and transmitted to the PC 11.

  By transmitting each result to the PC 11, an analysis result screen as shown in FIG. 2 is displayed on the monitor 15. By referring to this display, the user can know the current health condition, body age, skin age, and body type, and also how they will be in the future. You can also know what is needed to improve. If necessary, the whole body image 39a or the whole body image 39b can be enlarged and rotated by operating the mouse 14, so that the present body shape and skin state can be visually recognized. Therefore, the user's health awareness can be effectively increased.

  FIG. 4 shows an example in which past determination results are displayed and the effect when improvement measures are implemented is displayed. In addition, except being demonstrated below, it is the same as that of 1st embodiment, The same code | symbol is attached | subjected to the member of the same function practically, and the description is abbreviate | omitted.

  In this example, the same process as in the first embodiment is used to input basic information, a skin image, a period to be predicted such as a future health condition, a user's health condition / body age / skin age, and body type. The state database 28 and the skin age database 29 are sequentially learned based on the estimation process, basic information, and estimation results. Furthermore, based on the estimated health status, body age, skin age, body type, and basic information, an improvement measure that identifies specific improvement measures to bring the user's current body condition closer to the ideal state Perform specific processing.

  After the process of identifying the improvement measures, if the life style entered as basic information and living under environmental factors are continued, the health status, body age, and skin age of the current user will be used as the starting point. Predicts health status, body age, skin age, and body type after a specified period. In addition, when all the improvement measures are implemented, the health state, body age, skin age, and body type after the period specified by the user are predicted. Each body image based on the predicted health state, body age, skin age, and body shape, and a whole body image based on the current health state, body age, skin age, body shape, and analysis including these The result screen is displayed on the monitor 15.

  Further, when displaying the analysis result screen, the CPU 21 checks the personal database 27 to check whether data such as the current health status, body age, skin age, etc. of the user are registered, and the data is registered. If so, the data is read and the data is also displayed as the contents of the analysis result screen. In addition, a user can be specified by giving ID to a user and inputting ID at the time of use.

  After the analysis result screen is displayed, when the user operates the keyboard 13 and the mouse 14 to specify an improvement measure to be implemented among the suggested improvement measures, the specified one or more improvement measures The health state, body age, skin age, and body type after the specified period when assuming that the above has been performed are predicted, and the corresponding whole body image is created and displayed on the analysis result screen.

  According to this, the user can know the future body age, skin age, body shape, etc. when the improvement measure is implemented, and can effectively raise the user's health awareness. In addition, by displaying past data, it is possible to recognize a problem with the current body condition, an influence of whether or not improvement measures are implemented, and the like.

  In the example shown in FIG. 5, a specified period is predicted and displayed for every certain period (in this example, every year). According to this example, for example, if the prediction period is specified as 5 years, the health status, body age, skin age, and whole body image after 5 years are displayed on the analysis result screen, and 2 years later, The health status, body age, skin age, and whole body image after 4 years are also displayed on the analysis result screen. Thereby, the user can recognize a change in his / her health condition and body shape in time series.

  In each example shown in FIG. 4 and FIG. 5, when predicting a health condition, for example, age such as skin age or body age, an increase value kα (year / year) after 1 year is calculated, and 1 year A method of increasing the age while updating the age and the increase value kα can be taken. “Α” is a value that is increased or decreased according to the health condition that is the starting point of the update. Normally, “α” is “1”, but if the health condition is low, the value is increased. In addition, “k” is set to “1” when the current lifestyle, environment, etc. are continued, and the value is decreased as the improvement measures to be implemented are increased, and the value is increased as life is disturbed from the current state. Correction coefficient. For example, when it is specified that all the improvement measures are to be implemented, the calculation is performed as 0.8α, and “k” is increased as the specified number of implementation improvement measures is reduced.

  In the above embodiment, a system configured by a PC and a server is taken as an example, but these functions can be realized only on the PC, for example. The input means is not limited to a PC, and a mobile phone or a dedicated terminal can be used.

It is a block diagram which shows the structure of the health-analysis display system which implemented this invention. It is explanatory drawing which shows an example of an analysis result display screen. It is a flowchart which shows the process sequence by a health-analysis display system. It is a flowchart which shows the process sequence in the example which displays the effect at the time of implementing a past determination result and improvement measures. It is a flowchart which shows the process sequence in the example which shows the change prediction of a health condition for every fixed period.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Health analysis display system 11 Personal computer 12 Server 23 Analysis means 24 Improvement measure identification means 25 Prediction means 26 Predictive image creation means

Claims (8)

An input step of inputting information on the current body condition, information on lifestyle, information on environmental factors, and an image of a part of the body or an image of the whole body as input information;
An analysis step for estimating a current body state based on the inputted input information;
A prediction step in which a period to be predicted is specified, and the state of the body after the specified period is predicted based on the result of the estimation;
Based on the predicted body state and the input image, a predicted image creating step of creating a predicted image of the body part or the whole body predicted after a specified period;
A health analysis display method comprising: a display step of displaying the estimated current body state, the predicted body state, and a predicted image created by the predicted image creating means. . An improvement measure specifying step for determining a necessary condition for bringing the predicted body state close to an ideal state from input information and specifying an improvement measure for realizing the determination result,
The health analysis display method according to claim 1, wherein the improvement step specified by the improvement measure specifying step is further displayed in the display step.   The improvement measure specifying step includes, as improvement measures, calories and nutrients to be taken in the diet, functional ingredients, exercise methods according to calories, lifestyle and body condition to be consumed by exercise, and lifestyle to be improved The health analysis display method according to claim 2, wherein:   In the input step, an image including a skin part is input as an image of a part of the body or an image of the whole body, and the predicted image creating step includes the feature amount of the skin obtained from the input image and the predicted body. 4. The health analysis display method according to claim 1, wherein a skin image corresponding to a skin state predicted after a specified period is obtained based on the state.   In the predicted image creating step, a whole-body image having a skin state and a body type predicted after a specified period is created from the predicted body state and the predicted skin state. The health analysis display method according to claim 4.   6. The health analysis display method according to claim 1, wherein the body state includes a health state, a body age, a skin age, and a body type.   The health analysis display method according to claim 2, wherein the predicting step predicts a body state after a specified period when the improvement measure specified by the improvement measure specifying step is performed. Information input means for inputting information on the current body condition, information on lifestyle, and information on environmental factors as input information;
An image input means for inputting an image of a part of the body or a whole body image;
Analysis means for estimating a current body state based on the input information and image input;
A specifying means for specifying a period for which the state of the body should be predicted;
Prediction means for predicting the state of the body after a specified period based on the estimation result by the analysis means;
Predictive image creating means for creating a predicted image of a part of the body or the whole body state predicted after a specified period based on the body state predicted by the predicting means and the input image;
And a display means for displaying the current body state estimated by the analyzing means, the body state predicted by the predicting means, and the predicted image created by the predicted image creating means. Health analysis display device.

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