EXERCISE STRESS ESTIMATION METHOD FOR INCREASING SUCCESS RATE OF EXERCISE PRESCRIPTION
First Claim
1. A method of estimating stress caused by an exercise, wherein the method is executed on a specifically-programmed computer system, comprising:
- receiving questionnaire data including body measurements from a user, measuring health measurement data, deducing an exercise target and an exercise prescription based on the received and measured data, and transmitting the exercise target and exercise prescription to the user;
receiving again the questionnaire data including the body measurements from the user and measuring again the health measurements data;
designing parameters based on the received and re-received questionnaire data and the measured and re-measured health measurement data and converting the parameters to predetermined values, wherein the parameters are changes in health measurements, changes in body measurements, and habit information, wherein the habit information is 0 when the habit is regular and 1 when the habit is irregular, and the predetermined values are between 0 and 1;
designing a regression analysis model for estimating the exercise stress using the parameters and performing regression analysis, wherein the regression analysis model is represented by Expression (3)
Exercise stress=exp [α
×
((health measurement change)×
β
+(body measurement change)×
γ
+(habit)×
δ
)]/{1+exp [α
×
((health measurement change)×
β
+(body measurement change)×
γ
+(habit)×
δ
)]}
(3)where α
denotes an exercise prescription index, β
denotes a health measurement index, γ
denotes a body measurement index, and δ
denotes a habit index; and
transmitting the exercise stress estimated through the regression analysis to the user.
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Abstract
A method of estimating stress caused by an exercise includes receiving questionnaire data including body measurements from a user, measuring health measurement data, deducing an exercise target and an exercise prescription based on the received and measured data, and transmitting the exercise target and exercise prescription to the user. The questionnaire data is then received back from the user, including the body measurements from the user and measuring again the health measurements data; Parameters are designed based on the received and re-received questionnaire data and the measured and re-measured health measurement data and the parameters are converted to predetermined values. A regression analysis model is designed for estimating the exercise stress using the parameters and performing regression analysis and the exercise stress estimated through the regression analysis is transmitted to the user.
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Citations
33 Claims
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1. A method of estimating stress caused by an exercise, wherein the method is executed on a specifically-programmed computer system, comprising:
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receiving questionnaire data including body measurements from a user, measuring health measurement data, deducing an exercise target and an exercise prescription based on the received and measured data, and transmitting the exercise target and exercise prescription to the user; receiving again the questionnaire data including the body measurements from the user and measuring again the health measurements data; designing parameters based on the received and re-received questionnaire data and the measured and re-measured health measurement data and converting the parameters to predetermined values, wherein the parameters are changes in health measurements, changes in body measurements, and habit information, wherein the habit information is 0 when the habit is regular and 1 when the habit is irregular, and the predetermined values are between 0 and 1; designing a regression analysis model for estimating the exercise stress using the parameters and performing regression analysis, wherein the regression analysis model is represented by Expression (3)
Exercise stress=exp [α
×
((health measurement change)×
β
+(body measurement change)×
γ
+(habit)×
δ
)]/{1+exp [α
×
((health measurement change)×
β
+(body measurement change)×
γ
+(habit)×
δ
)]}
(3)where α
denotes an exercise prescription index, β
denotes a health measurement index, γ
denotes a body measurement index, and δ
denotes a habit index; andtransmitting the exercise stress estimated through the regression analysis to the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 32)
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12. A method of estimating stress caused by an exercise, wherein the method is executed on a specifically-programmed computer system, comprising:
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receiving questionnaire data from a user, measuring the user'"'"'s health measurement data, deducing an exercise target and an exercise prescription on the basis of the received and measured data, and transmitting the exercise target and exercise prescription to the user; receiving current questionnaire data from the user or measuring the current health measurements data and evaluating the level of achievement of the exercise target in three levels; receiving the number of days for which the user performs the prescribed exercise and evaluating the level of performance of prescribed exercise in three levels; deducing a new exercise prescription and transmitting the exercise prescription to the user when the evaluated level of achievement of the exercise target is determined as low or the evaluated level of performance of the prescribed exercise is determined as low;
when the evaluated level of achievement of the exercise target is determined as medium, the evaluated level of performance is determined as medium or high and the user requests a new exercise prescription; and
when the evaluated level of achievement of the exercise target is determined as high, the evaluated level of performance is medium and the user requests a new exercise prescription; andestimating the exercise stress through regression analysis when the evaluated level of achievement of the exercise target is determined as medium, the evaluated level of performance is determined as medium or high and the user does not request a new exercise prescription;
when the evaluated level of achievement of the exercise target is determined as high, the evaluated level of performance is determined as medium and the user does not request a new exercise prescription; and
when the evaluated level of achievement of the exercise target is determined as high and the evaluated level of performance is determined as high. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33)
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Specification