WO2014188657A1 - 情報処理システム、プログラム及び情報処理方法 - Google Patents
情報処理システム、プログラム及び情報処理方法 Download PDFInfo
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- WO2014188657A1 WO2014188657A1 PCT/JP2014/002175 JP2014002175W WO2014188657A1 WO 2014188657 A1 WO2014188657 A1 WO 2014188657A1 JP 2014002175 W JP2014002175 W JP 2014002175W WO 2014188657 A1 WO2014188657 A1 WO 2014188657A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/486—Bio-feedback
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4872—Body fat
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
Definitions
- the present invention relates to an information processing system, a program, an information processing method, and the like.
- Patent Document 1 discloses a method of predicting a change in body weight and displaying a duration period until a prediction time point and an energy variation amount in the duration period using an energy increase or decrease amount.
- the energy increase / decrease amount in Patent Document 1 is information in consideration of both intake energy and consumption energy, and is based on information from a sensor such as an activity meter worn by the user, meal information input by the user, etc. It is acquired.
- the above advice information is, for example, “If the energy increase or decrease is reduced by 1 day x kcal, the weight will be z kg after y months”, and the energy increase or decrease in a given period It is based on quantity.
- the user who received the above-mentioned advice tries to realize the reduction of the amount of energy by exercise, it is not easy to know how much exercise load should be.
- an information processing system a program, and a program that facilitate reduction of exercise risk and maintenance of motivation by creating advice information using stay time information representing stay time of a fat burning zone.
- An information processing method etc. can be provided.
- an information acquisition unit that performs information acquisition processing, a processing unit that performs processing based on the information acquired by the information acquisition unit, and output processing of the information generated by the processing unit
- An output processing unit and the information acquisition unit includes stay time information indicating a time when a value represented by pulse wave information of the user becomes a value in a given fat burning zone, physical information of the user,
- the acquisition processing of at least two pieces of target information on weight loss of the user, and the processing unit is a relational expression representing a relationship between a change in weight or body fat mass of the user and the stay time information; Processing for creating advice information on weight loss based on the at least two pieces of information acquired by the information acquisition unit; and the output processing unit is configured to generate the advice information before the processing performed by the processing unit. It relates to an information processing system that performs output processing.
- advice information is generated using at least two of a relational expression of a change in weight or body fat mass and stay time information, stay time information, physical information, and target information. Therefore, since stay time information is used, it is possible to prevent exercise with an excessively high load and to perform fat burning efficiently by exercise and the like. In addition, by defining a relational expression, it becomes possible to easily relate stay time information to changes in weight and the like.
- a value corresponding to an integrated value of the staying time information in a given period is T_zone, and the variation amount of the weight or the body fat mass of the user in the given period is calculated.
- the information acquisition unit performs the acquisition process of the stay time information and the physical information
- the processing unit performs the stay time information, the physical information, and the relational expression.
- a process may be performed to create the advice information on the calorie intake of the user based on the above.
- the information acquisition unit performs the acquisition process of the stay time information up to a given advice timing within an advice period, and the weight or the body of the user up to the advice timing.
- the acquisition process of acquiring a measured value of fat mass as the physical information is performed, and the processing unit determines the weight or the weight at the advice timing corresponding to the staying time information based on the staying time information and the relational expression.
- the estimated value of the body fat mass may be determined, and the advice information on the ingested calories may be created based on a comparison process between the estimated value and the determined actual value.
- the information acquisition unit performs the acquisition process of the stay time information and the target information
- the processing unit performs the stay time information, the target information, and the relational expression. And the process of creating the advice information on the user's exercise amount.
- the information acquisition unit performs the acquisition process of the stay time information up to a given advice timing in an advice period, and the advice timing set before the advice timing. Performing the acquisition processing of acquiring the target value of the weight or the body fat mass of the user as the target information, and the processing unit performs the stay time information based on the stay time information and the relational expression. A process may be performed to determine the corresponding estimated value of the body weight or the body fat mass, and to create the advice information on the amount of exercise based on a process of comparing the determined estimated value with the target value.
- the information acquisition unit performs the acquisition process of acquiring the current value of the weight or the body fat mass of the user at the advice timing as the physical information, and the weight of the user Or performing the acquisition process of acquiring, as the target information, a target period representing a target value of the body fat mass and a period until the target value is achieved, and the processing unit is configured to calculate the current value and the target value.
- a process of obtaining the stay time information necessary for achieving the target value within the target period may be performed based on the target period and the relational expression.
- the information acquisition unit performs the acquisition process on the physical information and the target information, and the processing unit is based on the physical information, the target information, and the relational expression.
- a process may be performed to obtain the stay time information necessary to achieve the goal represented by the goal information.
- the information acquisition unit performs the acquisition process of acquiring the current value of the weight or the body fat mass of the user as the physical information, and the weight or the body fat of the user Performing the acquisition process of acquiring, as the target information, a target value of the amount and a target period representing a period until the target value is achieved, and the processing unit determines the current value, the target value, and the target period A process of obtaining the staying time information necessary for achieving the target value within the target period may be performed based on the relational expression.
- the processing unit instructs correction of at least one of the target value and the target period when the staying time represented by the determined stay time information is larger than a given threshold.
- the processing unit may perform processing for obtaining the staying time information necessary for achieving the target value within the target period again based on at least one of the corrected target value and the target period.
- the information acquisition unit performs the acquisition process of the physical information and the target information at the start timing of the advice period
- the processing unit includes the physical information and the target information.
- a process of obtaining the stay time information necessary for achieving the target represented by the target information may be performed based on the relational expression.
- an information acquisition unit for acquiring information
- a processing unit for processing based on the information acquired by the information acquisition unit
- an output processing for the information generated by the processing unit.
- the information acquisition unit includes residence time information representing a time when a value represented by pulse wave information of the user is a value in a given fat burning zone, and the user
- Processing for creating advice information on weight loss based on the at least two pieces of information acquired by the information acquisition unit, and the output processing unit is configured by the processing unit It is provided a program for performing the output processing of the advice information.
- another aspect of the present invention is a residence time information representing a time when a value represented by pulse wave information of the user becomes a value in a given fat burning zone, physical information of the user, weight loss of the user Acquisition processing of at least two pieces of target information on the subject, a relational expression representing a relationship between a change in weight or body fat mass of the user, and the stay time information, and the at least two pieces of information acquired by the acquisition processing
- the present invention relates to an information processing method for causing a computer to execute a process of creating advice information on weight loss and the output process of the created advice information.
- FIGS. 9A to 9C are specific examples of display images for displaying advice information. An explanatory view of a weight loss prediction line, a regression line, and a target line.
- Patent Document 1 discloses an advice generation method based on the amount of change in energy.
- the energy consumption amount by exercise etc. and the intake energy amount by a meal etc. are acquired by a certain method, and energy change amount is calculated
- advice information is generated based on calculation logic that relates the amount of energy increase and decrease and weight change.
- the advice information in Patent Document 1 is, for example, "If the amount of energy change is reduced by 1 day x kcal, the weight will be z kg after y months".
- the user who received the above-mentioned advice tries to realize the reduction of the amount of energy by exercise, it is not easy to know how much exercise load should be.
- Patent Document 1 only advises energy change. In other words, it is up to the user to decide how much the exercise load is to be made, and excessively heavy exercise may cause injury or poor physical condition. Also, it is known that the efficiency of fat burning differs depending on the load of exercise, which may cause the exercise of load to be inefficient for fat burning, in which case sufficient health for the user's effort Maintenance and promotion effects can not be obtained.
- the present applicant proposes a method for generating advice information based on zone stay time (in a broad sense, stay time information).
- the zone staying time is obtained from pulse wave information of the user. For example, when acquiring a pulse rate as pulse wave information, if a given numerical range of the pulse rate is a fat burning zone, and a user's pulse rate is within the fat burning zone, a zone stay time Good.
- the pulse rate value is correlated with the user's exercise status, and generally, the higher the exercise load, the higher the pulse rate. That is, in view of presenting a reference value of the zone staying time as the advice information, it is possible to prevent the exercise of a high load such that the pulse rate exceeds the fat burning zone.
- the current pulse rate is displayed together with the numerical range of the fat burning zone, or the information indicating whether the current pulse rate is below the lower limit of the fat burning zone, within the zone, or above the upper limit of the zone is displayed by an icon or the like.
- Etc. the user can easily adjust the exercise load by viewing the display. Specifically, if the pulse rate is low with respect to the zone, it is sufficient to increase the exercise load by taking action such as raising the running pace, and if the pulse rate is high with respect to the zone, the exercise load may be reduced. In other words, using the idea of fat burning zone and zone staying time, it is easier for the user to make adjustments than in the case of instructing how many kcal exercises do.
- stay time information is an appropriate index value in generating advice information, and Determine the relationship between stay time information and weight change. Then, specific advice information generation processing using the relational expression will be described.
- FIG. 1 shows an example of data flow in the method of the present embodiment.
- a subject in FIG. 1 represents a user who receives advice for the purpose of health maintenance and promotion, and a mentor serves as a consultant of the subject and plays a role in giving appropriate advice to the subject.
- the method of the present embodiment does not prevent the subject from directly referring to the advice information generated by the information processing system, in the example of FIG. 1, the advice information is first output to the mentor, and the advice information is It is assumed that the mentor gives advice to each subject on the basis of
- the platform 10 includes an operation management service 11, a pulse device connection interface 12, a platform main body 13, a common database 14, an advice engine 15, and a prediction engine 16.
- the entire platform 10 corresponds to the information processing system of this embodiment.
- the operation management service 11 is an interface between the platform 10 and a subject or a mentor, and receives pulse wave information from the subject, information on meals, physical information, target information and the like.
- the mentor accepts requests for specific test subject data and specific advice information, and returns information to the requests.
- the pulse device connection interface 12 is an interface for connecting a pulse device (in a narrow sense, a pulse meter) worn by a subject. Pulse wave information may be obtained from a pulse device connected to the pulse device connection interface 12. However, as in the case where the platform 10 is realized as a server system, a mode in which the devices are not directly connected is also conceivable. Further, the pulse device connection interface 12 and the operation management service 11 may be integrally configured, or the pulse device connection interface 12 may be provided on the user (subject or mentor) side.
- the platform body 13 is connected to other units of the platform 10, and requests acquisition and output of information, information management, or given processing, and acquisition of a response to the request.
- the common database 14 stores various information including individual information such as gender, age and height of the user, pulse wave information, physical information, and target information.
- the advice engine 15 generates advice information when an advice for a specific user is requested. In the process of the advice engine, not only the information obtained at the present time is used as it is, but also future prediction information estimated from the information is used.
- the prediction engine 16 acquires information at the present time and performs processing of returning prediction information as a response.
- advice information based on prediction information may be generated by the prediction engine 16. In that case, the advice engine 15 generates advice information that does not use prediction information, that is, advice information based on actual values and the like, and obtains advice information using the prediction information from the prediction engine 16.
- the subject periodically transmits information such as pulse wave information to the platform 10 using the operation management service 11 as an interface.
- information such as pulse wave information
- the mentor requests the platform 10 for advice to the operation management service 11 as an interface.
- the platform body 13 receives a request from a mentor, and requests the advice engine 15 for advice information for XXX.
- the advice engine 15 acquires data related to XXX from the common database 14 in order to generate advice information for XXX.
- the acquired XXX data is sent to the prediction engine 16.
- the prediction engine 16 performs prediction processing based on the data of XXX, and returns the prediction information as a result to the advice engine 15.
- the advice engine 15 generates advice information based on the data of XXX and the prediction information returned by the prediction engine 16, and the generated advice information is transmitted to the mentor through the platform body 13 and the operation management service 11. Ru.
- the mentor gives advice to the subject based on the advice information returned as a response to the advice request.
- how to use the advice information for the actual advice depends on the discretion of the mentor, in this embodiment, since the appropriate advice information is generated using the zone stay time, the correction work by the mentor is not large. There is expected. Therefore, it is possible to reduce the effort required for the mentor's advice and to suppress the blur of the advice among the mentors according to the mentor's proficiency level.
- the information processing system 100 includes an information acquisition unit 110, a processing unit 120, and an output processing unit 130.
- the information processing system is not limited to the configuration of FIG. 2, and various modifications may be made such as omitting some of these components or adding other components.
- transformation implementation is the same also in FIG.
- the information acquisition unit 110 performs various information acquisition processing.
- the various information includes stay time information indicating the time when the pulse rate value becomes a value in the fat burning zone, physical information on the weight or fat mass of the user, target information on weight loss of the user, etc. .
- the information processing system according to the present embodiment can be realized in various forms. Therefore, the specific content of the information acquisition process may be different depending on the embodiment.
- the acquisition processing in the information acquisition unit 110 may be, for example, reception processing via a network as shown in FIG. 3 or, as shown as the operation unit 353 in FIG. 4, reception of information input via an interface It may be a process.
- the processing unit 120 generates the advice information based on the information acquired by the information acquisition unit 110 and the relational expression.
- the relational expression is an expression that associates zone staying time with weight fluctuation (or fluctuation of body fat mass), and the details will be described later. Further, details of the specific example of the advice information will be described later.
- the output processing unit 130 performs output processing of the advice information generated by the processing unit 120. Similar to the acquisition process of the information acquisition unit 110, the output process of the output processing unit 130 can be realized in various forms. For example, it may be transmission processing via a network or the like as shown in FIG. 3, or processing to perform display control in the display unit 380 as shown as the display control unit 370 in FIG.
- FIGS. 3 and 4 Next, a specific implementation example of the information processing system will be described using FIGS. 3 and 4.
- the implementation example of an information processing system is not limited to FIG.3 and FIG.4, A various deformation
- FIG. 3 is an example in which the information processing system 100 is realized as a server system 400.
- the subject wears the pulse meter 200 and carries the smartphone 300.
- the pulse wave sensor 210 included in the pulse meter 200 transmits pulse wave information to the reception unit 310 of the smartphone 300.
- the operation unit 330 of the smartphone 300 receives an input of physical information and target information by a subject.
- the transmission unit 320 of the smartphone 300 transmits pulse wave information, physical information, target information, and the like to the server system 400.
- the receiving unit 410 of the server system 400 receives the transmitted pulse wave information and the like. Then, the processing unit 420 processes the information received by the receiving unit 410 to generate advice information. The generated advice information is transmitted from the transmission unit 430 of the server system 400 to the smartphone 300 and displayed on the display unit 340 of the smartphone 300.
- the receiving unit 410 corresponds to the information acquiring unit 110
- the processing unit 420 corresponds to the processing unit 120
- the transmitting unit 430 corresponds to the output processing unit 130.
- the smartphone 300 is carried by the subject
- the advice information is provided to the subject without the intervention of a mentor, which is different from the embodiment of FIG. 1 in that respect.
- FIG. 4 is an example in which the information processing system 100 is realized as a smartphone 300.
- the subject wears the pulse meter 200 and carries the smartphone 300.
- the pulse wave sensor 210 included in the pulse meter 200 transmits pulse wave information to the reception unit 351 included in the information acquisition unit 350 of the smartphone 300.
- the operation unit 353 included in the information acquisition unit 350 of the smartphone 300 receives an input of physical information and target information by the subject.
- the processing unit 360 performs processing on the information acquired by the information acquisition unit 350 to generate advice information.
- the display control unit 370 performs display control of the advice information, and the display unit 380 displays the advice information according to the control of the display control unit 370.
- the information acquisition unit 350 including the reception unit 351 and the operation unit 353 corresponds to the information acquisition unit 110 of FIG. 2
- the processing unit 360 corresponds to the processing unit 120
- the display control unit 370 performs output processing. It corresponds to the part 130.
- the output from the pulsimeter 200 is pulse wave information.
- the processing for obtaining stay time information based on the pulse wave information may be performed in a block corresponding to the information acquisition unit 110 in the smartphone 300 or the server system 400.
- the present embodiment is not limited to such a configuration, and the pulse rate meter 200 may calculate stay time information.
- stay time information is determined based on pulse wave information from the pulse wave sensor 210 in firmware or the like of the pulse meter 200, and the determined stay time information is output to the smartphone 300 or the like.
- the advice information is created based on the zone stay time, which is the time during which the value such as the pulse rate is in the fat burning zone. Specifically, a relational expression relating weight fluctuation or body fat mass fluctuation and zone staying time is determined, and advice information is created using the relational expression.
- the relational expression has validity.
- FIG. 5 is a diagram showing the relationship between the cumulative value of zone staying time and the cumulative value of the amount of fat burning. Specifically, the horizontal axis represents the cumulative value of the zone staying time, and the vertical axis represents the cumulative value of the amount of burned fat, and a plot is made of the actual values obtained from the user data.
- the values on the vertical axis in FIG. 5 are based on the assumption that all consumed calories are used for fat burning, and the assumption that the amount of burning of fat is equal to the amount of actual reduction of body fat.
- the above prediction is correctly expressed, it is possible to reduce “ideally” maximum ykg of body fat by exercising for x hours so that the pulse rate becomes a value within the fat burning zone.
- the advice information is specifically information related to weight loss, and therefore, it is necessary to be based on the amount of decrease in weight or fat mass in line with the actual amount, not the ideal amount of fat burn. In other words, the analysis shown in FIG. 5 is still insufficient when it is desired to derive the relationship between the zone staying time and the amount of decrease in body weight or body fat mass.
- FIG. 6 shows the relationship between the ratio of zone staying time per unit time (hereinafter also referred to as zone staying ratio) and the amount of fat burning per unit time.
- the horizontal axis is, for example, a percentage of the length of time spent in the zone during one hour. More specifically, if the pulse rate is always within the fat burning zone (100 minutes) during one hour, it will be 100%, and within 30 minutes the fat burning zone and the remaining 30 minutes outside the fat burning zone The value would be 50% if it were.
- the distribution position in the graph becomes different according to the wearing condition of the pulsimeter and the approach condition to exercise.
- the user wears the pulse rate only in a situation where exercise is performed, that is, in a situation where the pulse rate becomes higher than the normal value and becomes a value within the fat burning zone, It is a user who works on exercise vigorously.
- a user whose horizontal axis value is close to 0% is a user who wears a pulsimeter even when not exercising, or wears a pulsimeter only in an exercise state, etc. but does not work on exercise vigorously, etc.
- the user may not have enough exercise load. That is, by looking at the value of the horizontal axis, it is possible to know the wearing condition and the exercise condition of the pulse meter for each user.
- the vertical axis in FIG. 6 is also the amount of fat burning, the amount of decrease in body fat is determined based on the zone staying ratio unless the relationship with the actual amount of decrease in body fat is further examined as in FIG. It can not be concluded that it can be determined.
- FIG. 7 shows the relationship between the zone staying rate and the amount of fat burned per unit time, and the relationship between the zone staying rate and the amount of reduced body fat per unit time.
- the zone staying ratio and the amount of fat burning per unit time are similar to those shown in FIG. 6, and it can be seen that they have a high correlation.
- the rate of staying in the zone and the amount of decrease in body fat per unit time are extremely variable because calorie intake is not taken into consideration, and the correlation coefficient is also a small value.
- the statistically determined risk rate is 0.3%, and although weak, the correlation between the zone staying rate and the reduction in body fat can not be rejected. That is, even if only the relationship between the zone staying ratio and the amount of decrease in body fat per unit time is considered, it is possible to obtain an analysis result that there is a correlation that can not be rejected in the meantime.
- a regression line (A1) determined from the zone staying ratio and the distribution of fat burning amount per unit time, and a regression line (A2) determined from the distribution of the zone staying ratio and the reduction amount of body fat per unit time Analysis using both is also possible.
- the reliability of the regression line A1 is high.
- the slope thereof is about 1/2 of the slope of A1.
- the theory is generally known that about one half of the consumed calories is used for fat combustion.
- the amount of burned fat as one of the vertical axes in FIG. 7 is a value when assuming that all consumed calories are used for burning fat, as described above.
- the consumed calories used for burning fat is 1/1 of the total calories. If it is about 2, the reduction amount of fat that actually burns, that is, body fat, should be 1/2 of the fat combustion amount of FIG. That is, A1 is a regression line of the ideal fat burning amount (corresponding to total consumed calories), and theoretically it is known that the reduction amount of body fat is 1/2 of A1, measured Considering that the slope of the regression line A2 determined from the decrease in body fat is 1 ⁇ 2 of the slope of A1, A2 is a relational expression that represents the decrease in body fat, and that fits the theory It can lead to the conclusion that
- the regression line A2 is appropriate as representing the relationship between the zone staying ratio and the reduction amount of body fat.
- the regression line is the zone staying time and the body fat. It is possible to say that it is a suitable relational expression which determines the relation of the amount of reduction.
- T_zone ⁇ Kfat W (1)
- the horizontal axis of FIG. 8 is the reduction amount of body fat
- the vertical axis is the reduction amount of body weight, which are obtained by plotting the actual values obtained from the user.
- the slope of the regression line shown in FIG. That is, the analysis using FIG. 8 provides a conclusion that the reduction in body fat and the reduction in body weight may be regarded as the same.
- the weight value can be measured by a widely used weight scale, and it is known that the error is not so large, while the body fat has a function as a body fat scale. Measurement can not be done without using such, and even if it is possible to measure body fat mass (or body fat percentage), the error is large compared to the measured value of body weight. In other words, information on the user's body fat is likely to be incomplete or incorrect. That is, in FIGS. 5 to 7 and the above equation (1), only the body fat has been described. However, considering the analysis result in FIG. 8, the body fat may be considered to be replaced with the weight. Specifically, in the above equation (1), it is possible to handle W as a fluctuation amount of body weight to perform prediction processing.
- the advice period here corresponds to a period in which the user (subject) receives the provision of a service using the information processing system of the present embodiment.
- the start point of the advice period may be the timing when applying for the service, or may be the timing when transmission of pulse wave information and the like is actually started.
- the end point of the advice period may be timing when only the usage period has elapsed from the start point of the advice period. Further, the end point of the advice period may be changed as appropriate according to the application from the user.
- the starting point of the advice period may not be determined from the start of use of the service, but may be determined from the start of analysis of the data. For example, suppose a user applies for service for a period of six months, but for the first three months, he or she does not have time to exercise. In that case, even if you exercise enough in the remaining three months, the data in the first three months of the first half may make it possible to judge that the movement is insufficient as a whole. In such a case, it may be possible to re-set three months after the start of service use as the start point of the advice period.
- the advice period starts at the start of service use, and two data aggregation periods (0 months to 3 months, 3 You may think that there are 6 months). That is, the advice period in the present embodiment is a concept including both the case where it is set based on the service usage start and the case where it is set based on the data aggregation period. In the following description, an advice period based on the start of service use will be taken as an example.
- the target setting process performed at the start of the advice period will be described. Specifically, it is a process of receiving an input of physical information and target information from a subject or a mentor, and obtaining stay time information required to realize the target information.
- the stay time information may be a cumulative value of zone stay time or may be a zone stay ratio, but in the following description, the zone stay time per day is described.
- a body weight is taken as an example in the following description.
- the user's current weight W ini current weight value
- target information the user's target weight W target (weight value target) and the weight for achieving the weight
- T target days
- T_zone is the zone stay time per day
- the above equation (1) can be transformed as the following equation (2), and as a result, T_zone can be obtained by the following equation (3).
- the weight loss amount is a positive value, so the right side is the current weight value minus the target value.
- T_zone ⁇ T target ⁇ K fat W ini ⁇ W target (2)
- T_zone (W ini -W target ) / (T target ⁇ K fat) (3)
- W ini , W target , and T target are acquired by the information acquisition unit 110, and as described above, K fat is obtained from the statistics in FIG. . That is, by applying the acquired information to the above equation (3), it is possible to obtain the zone stay time required for achieving the target weight in the target period as T_zone.
- a weight of one target can be set to W target after T target by setting the time of zone stay per day to T_zone. You can present information such as
- T_zone which is a zone stay time per day
- the subject may be instructed to reset the target information. For example, if T_zone, which is a zone stay time per day, has a value exceeding 24 hours, such exercise is impossible by any means. Also, although it is not impossible numerically, if the time spent in the zone per day is about 5 hours, there are not many users who can spend such time for exercise, which is not realistic. . This is because the target weight is different from the current weight and / or the target period is short. In other words, because we have targeted rapid weight changes in a short period of time, we will advise physically difficult exercise amounts.
- the T_zone determines a series of processes of determining the obtained T_zone, instructing change of the target information if the value is not a reasonable value, and calculating T_zone again with the corrected target information. You may repeat until it becomes a reasonable value. By doing this, T_zone can be made a feasible value, and it is also possible to exercise according to the advice. It should be noted that the determination as to whether or not T_zone is reasonable may be performed, for example, in comparison processing with a given threshold, and the case below the threshold is considered to be reasonable. However, since the reasonable exercise time differs depending on the user's occupation and lifestyle, the above threshold may be set for each user.
- processing at advice timing will be described. Specifically, an advice on calorie intake, an advice on exercise amount, an example in which the target setting process described above is performed again, and a modification will be described.
- the advice timing is the timing at which a request for advice information is made, and may be set in advance such as every month, and when the subject or mentor performs advice request processing as needed It may be request timing.
- Information on zone stay time from the start of the advice period to the advice timing is input from the user as appropriate. For example, if the zone stay time is processed in one day, information such as the zone stay time on the first day T_zone 1 and the zone stay time on the second day T_zone 2 is input. However, the input may be the pulse wave information (pulse rate) data as it is, and the information acquiring unit 110 may compare the fat burning zone with the fat burning zone to obtain the zone staying time.
- W target W ini- T T_zone ⁇ K fat ... (5)
- W target is an estimated value of the weight that the weight of the user at the advice timing is expected to be this value, when considered from the actually measured zone stay time.
- the actual value of the weight input from the user every day is also acquired as physical information.
- a regression line B2 is obtained, and the regression line is used as information representing the actual weight loss.
- the estimated value obtained by the above equation (5) should ideally coincide with the actual value obtained from the regression line as shown in FIG. If this does not match, it is considered that there is a factor there, so we will consider it.
- FIG. 11 shows the relationship between the average intake calories per day and the difference between the measured value and the estimated value of body fat reduction.
- the horizontal axis is the average calorie intake
- the vertical axis is the difference between the measured value and the estimated value of body fat loss.
- the vertical axis can be regarded as the difference between the actual weight loss and the estimated weight loss.
- the value on the vertical axis is smaller (negative value) as the average calorie intake is larger, and the value on the vertical axis is larger (polarity) as the average calorie intake is smaller.
- the fact that the vertical axis is negative corresponds to the case where the measured value of body fat loss is smaller than the predicted value, that is, body fat loss as predicted is not observed. That is, according to the analysis using FIG. 11, that the actual value of weight loss is smaller than the predicted value corresponds to the fact that there are many calories consumed, and that the actual value of weight loss is larger than the predicted value is that intake It can be concluded that it corresponds to the low calorie.
- the prediction line representing the weight change determined by the estimated value obtained from the above equation (5) is compared with the regression line of the weight loss determined from the plot of the actual value of the body, depending on which is higher. It is possible to estimate the amount of calories consumed. Specifically, if the regression line is below the prediction line as shown in C1 of FIG. 12, it is judged that the intake calories are small, and if the regression line is above the prediction line as shown in C2 of FIG. If it is determined that there are many calories consumed. Further, in the example of FIG. 10, since the regression line B2 is above the weight loss prediction line B3 determined from the above equation (5), it can be determined that the target user consumes a large amount of calories.
- FIG. 9 (B) and FIG. 9 (C) An example of the advice information at the advice timing is shown in FIG. 9 (B) and FIG. 9 (C).
- the zone stay ratio of 74%, the zone stay time of 26 minutes / day, and the aggregation period of 3 months shown in FIG. 9B indicate the measured values in the period up to the advice timing.
- 0.7 kg is an estimated value which calculated
- 1.3 kg is a value obtained using a regression line of the actual value of the weight input from the user.
- the example in FIG. 9 (B) corresponds to the case where the regression line is below the prediction line, and the point that the calorie intake is suppressed is "very excellent", and the expression for suppressing the excessive food restriction is advised. It is included in the information.
- the advice information includes an expression promoting suppression of the calories consumed.
- FIG. 9B is an example three months after the start of the advice period
- FIG. 9C is an example six months after, so in the advice information shown in FIG. It is assumed that the expression based on the result at the advice timing of 9 (B) ("The first half was very excellent") is included.
- advice information on exercise amount may be created.
- the point that an estimated value is obtained from the measured value of the zone staying time using the above equation (5) is the same.
- the difference from the advice information related to the intake calorie is that the comparison object with the prediction line is not the regression line but the target line set by the above-described target setting process.
- the target setting process since the target weight at the time when the target period has elapsed is obtained, the target line can be set as shown in B3 of FIG. 10 by using the value and the current value.
- the advice information generation process here is not the amount of exercise that can be expected to reduce weight as much as the target setting, but the exercise amount is insufficient. It is determined that On the other hand, if the target line is higher than the prediction line as indicated by D2 in FIG. 13, it is an exercise quantity that can be expected to reduce the weight more than the target setting and it is determined that the exercise quantity is large.
- the zone stay time is not determined instead of the prediction line and the target line.
- the determination of the amount of exercise may be made from the comparison processing of the target value and the actual measurement value of Since it is possible that the data aggregation period up to the advice timing does not match the target period, it is not appropriate to compare the cumulative value of zone stay time, but if it is a comparison process of zone stay time per unit time No problem.
- the target value of the weight change set at the start of the advice period and the measured value of the weight change at the advice timing are It can be considered to be different values. In such a case, there is a possibility that the value such as the zone stay time set at the start of the advice period is not appropriate for achieving the target value of the weight in the target period.
- the above process is performed with the target period set to six months and the timing at which three months have elapsed as the advice timing. Assuming that the goal six months later is used as it is, if weight loss is progressing at a faster pace than the goal due to factors such as withholding calorie intake in the first three months and increasing exercise amount, the latter three months It is possible to achieve the goal even if you reduce the pace of weight loss by relatively increasing the calorie intake or reducing the amount of exercise. On the other hand, if the weight loss pace is slow in the first half, the target weight can not be achieved after 6 months, even if the time set in the zone set initially is protected.
- the target setting process performed at the start of the advice period is not limited to the one performed at the timing, and may be performed at the advice timing.
- the specific processing content is the same as that described above, and thus detailed description will be omitted.
- W ini is not the value at the start of the advice period, but the actual measurement value at the advice timing is used as shown in FIG. Need to be changed to
- FIG. 15 illustrates the above process.
- FIG. 15 corresponds to an example in which since the pace of weight loss is slow halfway, a value larger than the initial zone staying time is set after the advice timing, and the target is changed to a stricter target.
- processing for generating advice information using the above equation (5) or the like, and processing for resetting a target may be performed.
- the initial goal could not be achieved even after six months which is the advice period. It is assumed that the service provision according to the present embodiment will end unless there is an application for extension of the advice period, etc., but also in the sense that it gives guidance for achieving the unachieved goals later It is useful to generate information.
- the original target weight W target is maintained when the equivalent exercise is continued by extending the regression line obtained from the measured value of weight loss in the advice period as shown in E1.
- the period required to realize the above is generated as the advice information.
- an appropriate target timing T ′ may be set, and a new target line E2 that achieves the original target weight W target may be set by the time T ′.
- setting a target line makes it possible to obtain the zone stay time T_zone required for realizing the target line, and presents the obtained T_zone as advice information. It is possible.
- the advice timing interval is somewhat large. This is because even if the advice information is frequently generated, it is considered that the change of the situation is scarce and the advice information is not useful. Therefore, even if there is a change in the intake calorie status or the exercise status between the advice timing and the advice timing, the change is not presented to the subject as advice information until the next advice timing.
- the situation change should be promptly presented to the user, but it may take time to be presented as well. For example, if it is determined that the user's exercise has continued to the same degree of exercise but the amount of exercise has changed from a sufficient state to an insufficient state, then the user enters an undesirable state for maintaining health. It may take time for the user to be aware of the change.
- the fluctuation itself is preferable for weight loss also about the fluctuation from the situation where the amount of exercise is insufficient to the situation sufficiently, the fact that the user is not aware of the fluctuation means that he / she performs excessive exercise without awareness It indicates the danger and can not be overlooked.
- the information processing system executes the above-mentioned prediction line and regression line or the comparison process of the prediction line and the target line in the background, and when there is a change in the situation such as calorie intake, Even if the timing of the change is not the advice timing, the advice information may be actively distributed to the subject or the mentor.
- this processing timing may be set at a given interval shorter than, for example, the interval of the advice timing.
- this processing timing does not necessarily output the advice information at the corresponding timing, but is broadly included in the concept of the advice timing in the sense that it has the possibility of output. That is, the advice timing in the present embodiment is the advice timing in a narrow sense (the advice timing described above) in which the output of the advice information is determined and the advice information is output only when it is determined that the situation has changed. And broad advice timing (processing timing). The processing content at the processing timing will be described below.
- the information processing system 100 may present information when the positional relationship between the prediction line and the regression line at the latest processing timing is different from the positional relationship at the previous processing timing. Specifically, at the first processing timing, the regression line is higher than the prediction line, and it is determined that the calorie intake is high, and at the second advice timing after that, the regression line is lower than the prediction line, Consider the case where it is determined that the calorie intake is low. In this case, in the period from the first processing timing to the second processing timing, the calories in the over-intake state are changed to the under-intake state. Since the information on the change is useful information for the subject and the mentor, advice information to the effect that the intake calorie has changed is output to the subject based on the processing at the second processing timing. As an example, it is conceivable to generate advice information such as "I lose weight more than burning fat. The food restriction may be strict.”
- the advice information since a minute difference can be considered as an error range, it is not necessary to always present the advice information when the relationship of the straight line is reversed.
- the advice information may be presented when the relationship is reversed and the amount of change exceeds a threshold.
- the advice information on the amount of exercise similarly to the intake calories. For example, at the first processing timing, it is determined that the prediction line is higher than the target line and the exercise amount is insufficient, and the prediction line is lower than the target line at the next second advice timing and the exercise amount is sufficient
- the prediction line is lower than the target line at the next second advice timing and the exercise amount is sufficient
- advice information such as "Let's make exercise time a little longer to achieve the goal” may be generated. In this way, it is possible to present information such as lack of exercise and exercise too much to subjects and mentors in a timely manner.
- the information processing system 100 performs the information acquisition processing based on the information acquired by the information acquisition unit 110 and the information acquisition unit 110. It includes a processing unit 120 that performs processing and an output processing unit 130 that performs output processing of information created by the processing unit 120.
- the information acquisition unit 110 determines stay time information representing time when the value represented by pulse wave information of the user becomes a value in a given fat burning zone, physical information of the user, and target information on weight loss of the user
- the processing unit 120 performs at least two pieces of information acquisition processing among the above, and the processing unit 120 outputs at least two relational expressions representing a relationship between a change in weight or body fat mass of the user and stay time information; Based on the information, a process of creating advice information on weight loss is performed, and the output processing unit 130 performs an output process of the advice information created by the processing unit 120.
- the value represented by pulse wave information may be a pulse rate in a narrow sense, but is not limited thereto.
- information such as the frequency of the AC component of the pulse signal may be used.
- the fat burning zone is a range determined based on a value represented by a standard pulse signal and represents a range suitable for fat burning. For example, if the value represented by the pulse signal is a pulse rate, it is a numerical range of pulse rates suitable for fat burning.
- requiring the pulse rate (heart rate) suitable for fat combustion such as the Karvonen method (Karvonen Formula), etc. is known, detailed description is abbreviate
- the fat combustion zone determination method in the present embodiment can be arbitrarily applied with various methods, and is not limited to a specific method.
- the staying time information may be any information that represents the time when the value represented by the pulse signal becomes the value in the fat burning zone, or may be the total value of the zone staying time described above, or a unit period (for example, It may be zone stay time in one day. Also, it may be a zone staying ratio which is a ratio of zone staying time in unit time (for example, one hour).
- the physical information is information such as the user's weight and body fat mass, and may include information such as gender, height and age in a broad sense.
- the target information is information to be a target of weight loss, such as a target value of weight, a target value of weight loss, a target period until weight loss is realized, and the like.
- advice information is obtained by processing using a relational expression between the stay time information and weight change (or body fat change). It is possible to generate Therefore, the generated information is generated from the viewpoint of stay time information, and indicates, for example, the zone stay time required when achieving the target weight within the target period. Therefore, when it is intended to realize weight loss by exercise, it is possible to suppress excessive exercise such that the pulse rate exceeds the upper limit of the fat burning zone, and to prevent injury due to excessive exercise and the like. In addition, by setting the fat burning zone appropriately, it is possible to execute exercise with a load that can efficiently burn fat. Furthermore, since it is possible to suppress the decline in motivation due to the setting of an excessive exercise target or the like, it is possible to use the service continuously.
- the value corresponding to the integrated value of residence time information in a given period is T_zone
- the fluctuation amount of the user's body weight or body fat mass in a given period is W
- the fat burning coefficient is Kfat
- the value corresponding to the integrated value of the stay time information is the product of the zone stay time per day (T_zone in the above equation (2)) and the period T in the case of the above equation (2). Moreover, if it is the above Formula (4), it is the value which accumulated the zone stay time (T_zone in the above Formula (4)) in the unit period actually measured within a period.
- the integrated value of the stay time information may be obtained by another method.
- the fat burning coefficient is a coefficient relating T_zone to W, and it can be considered to be determined from, for example, the slope of a straight line similar to A2 and A2 in FIG.
- the information acquisition unit 110 performs acquisition processing of stay time information and physical information
- the processing unit 120 provides advice information on the user's intake calorie based on the stay time information, physical information, and the relational expression. You may perform the process to produce.
- the information acquisition unit 110 acquires stay time information up to a given advice timing within the advice period, and uses the measured value of the user's weight or body fat mass up to the advice timing as physical information.
- the acquisition unit performs acquisition processing, and the processing unit 120 obtains the estimated value of the weight or body fat mass at the advice timing corresponding to the stay time information based on the stay time information and the relational expression, and finds the obtained estimated value and actual value Based on a comparison process with the above, a process may be performed to create advice information on calorie intake.
- the estimated value of body weight or body fat mass may be a value corresponding to an absolute value such as body weight, or may be a variable value with respect to a given reference value (for example, a value at the start of the advice period) Good.
- a given reference value for example, a value at the start of the advice period
- the actual measurement value either an absolute value or a variation value may be used, as long as the correspondence between the estimated value and the actual measurement value can be obtained.
- advice information on intake calories as advice information on weight loss described above from stay time information, physical information, and a relational expression. Even if the information about the meal is not input, it is possible to estimate "large” and “small” of the meal amount from the above information. Further, it is also possible to generate advice information on the accuracy of the input and the like by comparing the meal information input by the user and the intake calorie determined by the method of the present embodiment.
- the estimated value here corresponds to the above-described prediction line
- the actual value corresponds to the above-described regression line
- the comparison process corresponds to the above-described process using FIG.
- the information acquisition unit 110 performs acquisition processing of stay time information and target information
- the processing unit 120 creates advice information on the amount of exercise of the user based on the stay time information, the target information, and the relational expression. Processing may be performed.
- the information acquisition unit 110 performs processing for acquiring stay time information up to a given advice timing within the advice period, and the weight or body of the user at the advice timing set prior to the advice timing.
- An acquisition process of acquiring a target value of fat mass as target information is performed, and the processing unit 120 obtains an estimated value of the weight or body fat mass corresponding to the stay time information based on the stay time information and the relational expression.
- a process of creating advice information on the amount of exercise may be performed based on a comparison process of the estimated value and the target value.
- advice information on exercise amount as the advice information on weight loss described above from stay time information, target information, and a relational expression. Since a large amount of exercise leads to weight loss, basically it is highly rated when there is a large amount of exercise, but excessive exercise is also a cause of injury, and advice information may be generated to urge appropriate suppression.
- the estimated value here corresponds to the above-described prediction line
- the target value corresponds to the above-described target line
- the comparison process corresponds to the above-described process using FIG.
- the information acquisition unit 110 performs an acquisition process of acquiring the current value of the weight or body fat mass of the user at the advice timing as physical information, and achieves the target value and the target value of the body weight or body fat mass of the user.
- the processing unit 120 performs an acquisition process of acquiring a target period representing a period up to the target period as target information, and the processing unit 120 determines the target value within the target period based on the current value, the target value, the target period, and the relational expression. A process may be performed to obtain stay time information necessary for achievement.
- the information acquisition unit 110 performs acquisition processing of physical information and target information, and the processing unit 120 achieves the target represented by the target information based on the physical information, the target information, and the relational expression.
- a process may be performed to obtain necessary stay time information.
- the information acquisition unit 110 performs an acquisition process of acquiring the current value of the user's weight or body fat mass as physical information, and achieves the user's body weight or body fat mass target value and target value.
- the processing unit 120 performs an acquisition process of acquiring a target period representing a period up to the target period as target information, and the processing unit 120 determines the target value within the target period based on the current value, the target value, the target period, and the relational expression. A process may be performed to obtain stay time information necessary for achievement.
- the processing unit 120 when the stay time represented by the obtained stay time information is larger than the given threshold value, the processing unit 120 generates correction instruction information instructing correction of at least one of the target value and the target period. You may go. Then, when the information acquisition unit 110 performs acquisition processing of at least one of the target value and the target period for which the correction has been performed based on the correction instruction information, the processing unit 120 calculates the corrected target value and the target period. Based on at least one of them, processing may be performed to obtain stay time information necessary for achieving the target value within the target period again.
- the correction instruction information is, for example, display control information for redisplaying the input screen of the target information.
- the information acquisition unit 110 performs acquisition processing of physical information and target information, and the processing unit 120 uses target information based on physical information, target information, and a relational expression.
- a process may be performed to obtain residence time information necessary to achieve the goals expressed.
- part or most of the processing may be realized by a program.
- a processor such as a CPU executes a program, whereby the information processing system 100 and the like of the present embodiment are realized.
- a program stored in a non-temporary information storage medium is read, and a processor such as a CPU executes the read program.
- the information storage medium (a medium readable by a computer) stores programs, data, etc., and its function is an optical disc (DVD, CD, etc.), an HDD (hard disk drive), or a memory (card type). It can be realized by memory, ROM, etc.
- processors such as CPU, perform various processings of this embodiment based on a program (data) stored in an information storage medium. That is, a program for causing a computer (a device including an operation unit, a processing unit, a storage unit, and an output unit) to function as each unit of the present embodiment (a program for causing a computer to execute processing of each unit) Is stored.
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Abstract
Description
まず本実施形態の手法について説明する。近年、社会的な健康志向の高まりにより、健康維持増進のためのサービス等が広く提供されるようになってきた。例えば、肥満に関してメタボリックシンドロームという用語が広く知られたことで、体重や腹囲の値を定期的に測定するユーザーは多い。しかし、測定値だけを取得したとしても、医療の専門家でないユーザーにとっては、当該測定値の変動等を生活習慣等へ適切に反映させることは困難である。理想的には、医師等の専門家によるアドバイスを受けるとよいが、多くの被験者を担当することになる専門家の負担や、コスト等の問題を考慮すれば、アドバイス情報の生成をある程度自動化するシステムに対する要求は大きい。
図1に本実施形態の手法におけるデータフローの一例を示す。図1における被験者は健康維持増進を目的としたアドバイスを受けるユーザーを表し、メンターは当該被験者の相談役となり被験者に対して適切なアドバイスを与える役割を担う。本実施形態の手法は、情報処理システムにより生成されたアドバイス情報を被験者が直接参照する形態とすることを妨げないが、図1の例ではアドバイス情報はまずメンターに対して出力され、当該アドバイス情報を基礎としてメンターが各被験者に対してアドバイスを行う形態を想定したものである。
上述したように本実施形態では脈拍数等の値が脂肪燃焼ゾーンにある時間であるゾーン滞在時間に基づいてアドバイス情報を作成する。具体的には、体重変動或いは体脂肪量変動と、ゾーン滞在時間とを関連づける関係式を求め、当該関係式を用いてアドバイス情報を作成する。以下、図5等を用いて関係式を導出するとともに、当該関係式に妥当性があることを説明する。
次に、体脂肪の減少量と体重の減少量の関係を図8に示す。具体的には、図8の横軸が体脂肪の減少量、縦軸が体重の減少量であり、ユーザーから取得された実測値をプロットしたものである。ここで、図8に示した回帰線の傾きはほぼ1となった。つまり、図8を用いた分析により、体脂肪の減少量と体重の減少量は同視してもよいという結論が得られる。
次に、上式(1)として示した関係式を実際に用いてアドバイス情報を生成する手法について説明する。具体的には、アドバイス期間開始時の処理と、アドバイス期間中の所与のタイミングであるアドバイスタイミングでの処理について説明する。
まずアドバイス期間開始時に行われる目標設定処理について説明する。具体的には、被験者或いはメンターから身体情報と目標情報の入力を受け付け、当該目標情報を実現するために必要とされる滞在時間情報を求める処理である。なお、滞在時間情報はゾーン滞在時間の累計値であってもよいし、ゾーン滞在割合であってもよいが、ここでは1日当たりのゾーン滞在時間であるものとして説明する。また、体重と体脂肪のいずれを用いてもよいことは上述したが、以下の説明では体重を例にとる。
T_zone=(Wini-Wtarget)/(Ttarget×Kfat) ・・・・・(3)
ここで、上式(3)の右辺のうち、Wini,Wtarget,Ttargetについては情報取得部110で取得されており、Kfatについては上述したように図7等の統計から求められている。つまり、取得した情報を上式(3)に当てはめることで、目標期間で目標体重を実現するために要求される1日当たりのゾーン滞在時間をT_zoneとして求めることができる。
次にアドバイスタイミングでの処理について説明する。具体的には摂取カロリーに関するアドバイス、運動量に関するアドバイス、上述した目標設定処理を再度行う例、及び変形例について説明する。なお、アドバイスタイミングとは、アドバイス情報の要求が行われるタイミングであり、1ヶ月毎といったようにあらかじめ設定されるものでもよいし、被験者やメンターが必要に応じてアドバイス要求処理を行う場合には当該要求タイミングであってもよい。
ユーザーからはアドバイス期間の開始時点からアドバイスタイミングまでのゾーン滞在時間に関する情報が適宜入力されている。例えば、ゾーン滞在時間を1日当たりで処理するのであれば、1日目のゾーン滞在時間がT_zone1、2日目のゾーン滞在時間がT_zone2といったような情報が入力される。ただし、入力は脈波情報(脈拍数)のデータそのままであり、情報取得部110において脂肪燃焼ゾーンとの比較を行ってゾーン滞在時間を求める処理が行われてもよい。
Wtarget=Wini-ΣT_zone×Kfat ・・・・・(5)
ここでのWtargetとは、実測されたゾーン滞在時間から考えれば、アドバイスタイミングでのユーザーの体重はこの値となっていることが期待される、という体重の推定値である。
また、アドバイスタイミングにおいては運動量に関するアドバイス情報を作成してもよい。ゾーン滞在時間の実測値から上式(5)を用いて推定値を求める点は同様である。摂取カロリーに関するアドバイス情報との違いは、予測線との比較対象が回帰線ではなく、上述の目標設定処理により設定された目標線となることである。目標設定処理では、目標期間経過時の目標体重を求めているため、当該値と現在値とを用いることで、図10のB3に示したように目標線を設定することができる。
上述したように、摂取カロリー及び運動量の少なくとも一方の要因により、アドバイス期間開始時に設定した体重変動の目標値と、アドバイスタイミングでの体重変動の実測値とが異なる値となることが考えられる。その場合、アドバイス期間開始時に設定したゾーン滞在時間等の値が、目標期間において体重の目標値を実現するに当たって適切なものではなくなっている可能性がある。
次にアドバイス情報生成処理の変形例について説明する。上述してきた処理は、1ヶ月に1回といったように、所定のアドバイスタイミングにおいて行われることを想定している。このアドバイスタイミングは、被験者やメンターにより設定されるものである。
以上の本実施形態では、情報処理システム100は図2に示したように、情報の取得処理を行う情報取得部110と、情報取得部110により取得された情報に基づいて処理を行う処理部120と、処理部120で作成された情報の出力処理を行う出力処理部130とを含む。そして、情報取得部110は、ユーザーの脈波情報により表される値が所与の脂肪燃焼ゾーン内の値となる時間を表す滞在時間情報と、ユーザーの身体情報と、ユーザーの減量に関する目標情報のうちの少なくとも2つの情報の取得処理を行い、処理部120は、ユーザーの体重又は体脂肪量の変動と滞在時間情報との関係を表す関係式と、情報取得部110が取得した少なくとも2つの情報に基づいて、減量に関するアドバイス情報を作成する処理を行い、出力処理部130は、処理部120で作成されたアドバイス情報の出力処理を行う。
Claims (13)
- 情報の取得処理を行う情報取得部と、
前記情報取得部により取得された情報に基づいて処理を行う処理部と、
前記処理部で作成された情報の出力処理を行う出力処理部と、
を含み、
前記情報取得部は、
ユーザーの脈波情報により表される値が所与の脂肪燃焼ゾーン内の値となる時間を表す滞在時間情報と、前記ユーザーの身体情報と、前記ユーザーの減量に関する目標情報のうちの少なくとも2つの情報の前記取得処理を行い、
前記処理部は、
前記ユーザーの体重又は体脂肪量の変動と前記滞在時間情報との関係を表す関係式と、前記情報取得部が取得した前記少なくとも2つの情報に基づいて、減量に関するアドバイス情報を作成する処理を行い、
前記出力処理部は、
前記処理部で作成された前記アドバイス情報の前記出力処理を行うことを特徴とする情報処理システム。 - 請求項1において、
所与の期間での前記滞在時間情報の積算値に対応する値をT_zoneとし、前記所与の期間での前記ユーザーの前記体重又は前記体脂肪量の変動量をWとし、脂肪燃焼係数をKfatとした場合に、
前記関係式は、
T_zone×Kfat=W
であることを特徴とする情報処理システム。 - 請求項1又は2において、
前記情報取得部は、
前記滞在時間情報と、前記身体情報の前記取得処理を行い、
前記処理部は、
前記滞在時間情報と、前記身体情報と、前記関係式とに基づいて、前記ユーザーの摂取カロリーに関する前記アドバイス情報を作成する処理を行うことを特徴とする情報処理システム。 - 請求項3において、
前記情報取得部は、
アドバイス期間内の所与のアドバイスタイミングまでの前記滞在時間情報の前記取得処理を行うとともに、前記アドバイスタイミングまでの前記ユーザーの前記体重又は前記体脂肪量の実測値を前記身体情報として取得する前記取得処理を行い、
前記処理部は、
前記滞在時間情報と前記関係式に基づいて、前記滞在時間情報に対応する前記アドバイスタイミングでの前記体重又は前記体脂肪量の推定値を求め、求めた前記推定値と前記実測値との比較処理に基づいて、前記摂取カロリーに関する前記アドバイス情報を作成する処理を行うことを特徴とする情報処理システム。 - 請求項1乃至4のいずれかにおいて、
前記情報取得部は、
前記滞在時間情報と、前記目標情報の前記取得処理を行い、
前記処理部は、
前記滞在時間情報と、前記目標情報と、前記関係式とに基づいて、前記ユーザーの運動量に関する前記アドバイス情報を作成する処理を行うことを特徴とする情報処理システム。 - 請求項5において、
前記情報取得部は、
アドバイス期間内の所与のアドバイスタイミングまでの前記滞在時間情報の前記取得処理を行うとともに、前記アドバイスタイミングより前に設定された、前記アドバイスタイミングでの前記ユーザーの前記体重又は前記体脂肪量の目標値を前記目標情報として取得する前記取得処理を行い、
前記処理部は、
前記滞在時間情報と前記関係式に基づいて、前記滞在時間情報に対応する前記体重又は前記体脂肪量の推定値を求め、求めた前記推定値と前記目標値との比較処理に基づいて、前記運動量に関する前記アドバイス情報を作成する処理を行うことを特徴とする情報処理システム。 - 請求項4又は6において、
前記情報取得部は、
前記アドバイスタイミングにおける前記ユーザーの前記体重又は前記体脂肪量の現在値を前記身体情報として取得する前記取得処理を行うとともに、前記ユーザーの前記体重又は前記体脂肪量の目標値、及び前記目標値を達成するまでの期間を表す目標期間を前記目標情報として取得する前記取得処理を行い、
前記処理部は、
前記現在値と、前記目標値と、前記目標期間と、前記関係式とに基づいて、前記目標期間内での前記目標値の達成に必要な前記滞在時間情報を求める処理を行うことを特徴とする情報処理システム。 - 請求項1又は2において、
前記情報取得部は、
前記身体情報と、前記目標情報の前記取得処理を行い、
前記処理部は、
前記身体情報と、前記目標情報と、前記関係式とに基づいて、前記目標情報により表される目標の達成に必要な前記滞在時間情報を求める処理を行うことを特徴とする情報処理システム。 - 請求項8において、
前記情報取得部は、
前記ユーザーの前記体重又は前記体脂肪量の現在値を前記身体情報として取得する前記取得処理を行うとともに、前記ユーザーの前記体重又は前記体脂肪量の目標値、及び前記目標値を達成するまでの期間を表す目標期間を前記目標情報として取得する前記取得処理を行い、
前記処理部は、
前記現在値と、前記目標値と、前記目標期間と、前記関係式とに基づいて、前記目標期間内での前記目標値の達成に必要な前記滞在時間情報を求める処理を行うことを特徴とする情報処理システム。 - 請求項9において、
前記処理部は、
求められた前記滞在時間情報により表される滞在時間が所与の閾値よりも大きい場合、前記目標値及び前記目標期間の少なくとも一方の修正を指示する修正指示情報を生成する処理を行い、
前記情報取得部が、前記修正指示情報に基づいて修正が行われた前記目標値及び前記目標期間の少なくとも一方の前記取得処理を行った場合に、
前記処理部は、
修正後の前記目標値及び前記目標期間の少なくとも一方に基づいて、前記目標期間内での前記目標値の達成に必要な前記滞在時間情報を再度求める処理を行うことを特徴とする情報処理システム。 - 請求項8乃至10のいずれかにおいて、
アドバイス期間の開始タイミングにおいて、
前記情報取得部は、
前記身体情報と、前記目標情報の前記取得処理を行い、
前記処理部は、
前記身体情報と、前記目標情報と、前記関係式とに基づいて、前記目標情報により表される目標の達成に必要な前記滞在時間情報を求める処理を行うことを特徴とする情報処理システム。 - 情報の取得処理を行う情報取得部と、
前記情報取得部により取得された情報に基づいて処理を行う処理部と、
前記処理部で作成された情報の出力処理を行う出力処理部として、
コンピューターを機能させ、
前記情報取得部は、
ユーザーの脈波情報により表される値が所与の脂肪燃焼ゾーン内の値となる時間を表す滞在時間情報と、前記ユーザーの身体情報と、前記ユーザーの減量に関する目標情報のうちの少なくとも2つの情報の前記取得処理を行い、
前記処理部は、
前記ユーザーの体重又は体脂肪量の変動と前記滞在時間情報との関係を表す関係式と、前記情報取得部が取得した前記少なくとも2つの情報に基づいて、減量に関するアドバイス情報を作成する処理を行い、
前記出力処理部は、
前記処理部で作成された前記アドバイス情報の前記出力処理を行うことを特徴とするプログラム。 - ユーザーの脈波情報により表される値が所与の脂肪燃焼ゾーン内の値となる時間を表す滞在時間情報と、前記ユーザーの身体情報と、前記ユーザーの減量に関する目標情報のうちの少なくとも2つの情報の取得処理と、
前記ユーザーの体重又は体脂肪量の変動と前記滞在時間情報との関係を表す関係式と、前記取得処理により取得した前記少なくとも2つの情報に基づいて、減量に関するアドバイス情報を作成する処理と、
作成した前記アドバイス情報の前記出力処理と、
をコンピューターに実行させることを特徴とする情報処理方法。
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