JP2014076113A - Method and system for providing optimum health support program by calculating adaptability to gravity and energy consumption for each health support type - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a method and a system for providing an optimum health support program by calculating adaptability of a body action to the gravity (adaptation ability of a human to the gravity) for each exercise item and energy consumption therefor, in accordance with a condition adaptable to a user.SOLUTION: A nutrition program by an energy ingestion amount or an illustration, and an exercise program in an animation enabling the free selection of an action speed, are provided based on a health support type determined from an obesity index and a health degree.

Description

  According to the present invention, according to the conditions (hereinafter referred to as the optimum conditions) adapted to the user, the adaptability to the gravity of the body movement for each type of exercise (the ability of how much the human adapts to the gravity) and It relates to a method and system for calculating the energy consumption and providing an optimal health support program. Based on the health support type determined from the obesity level and the health level, the nutritional program and operation by the energy intake and illustration An exercise program with animation that can select the speed freely is provided.

  The conventional technology related to the present invention is different from an analysis device that measures a medically measured actual value, and does not handle medical / medical examination data that conflicts with the medical law. A simulation method and system for providing health support programs related to exercise and nutrition by inputting data such as health information.

  Conventionally, as a simulation method and system provided with a health support program, several combinations are made from personal profile data, health information, body composition and exercise information obtained by measuring equipment, nutrition information obtained by survey forms, etc. Input, calculation of exercise amount and total energy consumption, balance evaluation of energy consumption and intake, classification of body type by body fat percentage and personal data (Patent Document 1), determination of nutritional state and exercise state There are types.

  In addition, based on the results of nutritional status and exercise status determination, calculate the target energy consumption and exercise amount for the ideal weight, select an exercise program suitable for the user for the target weight loss, Some types offer optimal and effective tailor-made exercise programs.

  Then, the selected exercise program is distributed to the user's terminal as a set of exercise images (Patent Document 2), or an animation representing the exercise program and the mode of the exercise program set based on body data, Some exercise programs are visualized by an exercise support system (Patent Document 3) or the like that is transferred from a management center server to a user's terminal device, etc., so that the user can easily understand the exercise program.

  Furthermore, in visualization of exercise programs, there are those that utilize illustrations and animations to acquire training forms such as how to breathe during exercise (Patent Document 4).

JP-A-11-313911 JP 2008-107883 A JP 2002-291955 A JP-A-2005-224572

The conventional health support program providing system has the following problems.
(B) Body mass index (BMI) body type weighted, or because the assessment is based only on lifestyle trends based on health information, obesity level (body type) based on body composition corresponding to gender and age, life It is difficult to determine the health support type based on the health risk level based on the health risk factors determined from habits. For this reason, it is not possible to provide a highly individualized health support program that conforms to the physical characteristics, lifestyle habits, etc., and that exercise and nutrition are relatively evaluated.
(B) Basal metabolic rate based on the standard figure and METS (Medical Evangelism Training & Strategies or Metabolic Equivalents: A measure of the intensity of physical activity. The total energy consumed during exercise is several times the energy consumed during rest. Since the total energy consumption and physical activity level are derived from the physical activity metabolism by absolute intensity such as (numerical value indicating whether or not), a large error will occur due to age, gender, body type and physical activity intensity, Target energy consumption and intake energy requirements and intake nutrients adapted to physical characteristics and physical activity intensity by age, gender and body type cannot be calculated, and it is difficult to select highly individualized nutrition programs.
(C) The calorie consumption estimated from absolute strength such as METS is not calculated based on anatomical movements based on kinematics, biomechanics, etc., so it is difficult to calculate especially for strength training items. there were.
(2) Since objective evaluation of anatomical movements by body part is not performed, only physical strength and physical function elements specific to physical strength measurement results and measurement items are evaluated, such as kinematics and biomechanics. Therefore, it is difficult to select an exercise program with high individuality according to the optimum condition of the user.
(E) The results of physical fitness measurements and questionnaire surveys only evaluate the elements specific to the measurements and survey items, and exercise programs based on the evaluation criteria and guidelines have not been developed. Since it is not reflected, the exercise intensity, the number of times, the number of sets, etc. of all the exercise types are fixed, and it is difficult to calculate the exercise effect calorie or the like that is the achievement effect or the goal to reach.
(F) There is no motion animation in which the operation speed of concentric (shortening contraction) and eccentric (extensible contraction) in training is set to an appropriate speed ratio, and simply acquiring a training form (posture and type) Even the target motion animation has an operation speed different from the actual optimum tempo, so it is extremely difficult to learn the exact operation.
(G) Since the motion speed of the motion animation is fixed, while watching the animation, the user's optimum conditions (age group, exercise proficiency level, exercise level, etc.) or the appropriateness suitable for the purpose and training system I can't practice training with proper movement.

The present invention has been made to solve the problems described in the above (a) to (g).
Regarding (a): The inventor of the present invention first provides the user with a personalized health support program that conforms to the physical characteristics and lifestyle of the user and is relatively evaluated for exercise and nutrition. Based on profile data such as height, weight, body fat percentage, age, gender, etc., and BMI value and body fat percentage, we newly classified and organized obesity areas by sex and age, and based on this, based on BMI value Evaluation zone (low / normal / slightly high / high) and gender / age-specific body fat percentage (overweight / low weight / standard (−) / standard (+) / minor obesity / moderate obesity / severe obesity) However, 20 types of “obesity level (see Table 1)” were defined on the basis of the combination of overweight and severe obesity, excluding the recommendation for consultation).

[Table 1]
Obesity type:
[Standard figure] (Standard (-) N, Standard (+) M)
N (standard) -A
N (standard) -B
M (overweight) -A
M (overweight) -B
M (overweight) -C
M (overweight) -D
Boundary area -A
Boundary area -B
Boundary area -C
Boundary area -D
[Obesity] (Mild obesity H, moderate obesity F)
H (hidden obesity) -I
H (hidden obesity) -II
H (hidden obesity) -III
H (hidden obesity) -IV
F (Obesity) -I
F (Obesity) -II
F (Obesity) -III
F (Obesity) -IV
[Skin type] (low weight L)
L (skin) -I
L (skin) -II

Next, seven basic risk types (see Table 2) necessary to formulate exercise programs and nutrition programs (basic principles) are defined based on health risk factors such as the user's health status and genetic constitution. did.

[Table 2]
[Diabetic tendency] A
Blood glucose level = AI type HbAlc = AII type [hyperlipidemia tendency] B
Neutral fat = BI type HDL cholesterol = BII type LDL cholesterol = BIII type [high blood pressure tendency] C
Blood pressure = C type [health] H
Not applicable = H type (A and B are classified into I to III in order to use them as guidelines and advice for selecting nutrition programs, etc.)

In addition, obesity and exercise habits of users (based on items corresponding to questions such as the frequency of weekly exercise, whether there is an increase in body weight, around the waist of trousers, etc.), eating habits (likes and dislikes of ingredients, soft drinks) Based on items corresponding to questions such as habits and richness of seasoning), health risk levels are evaluated and classified based on health risk factors such as luxury goods, stress, sleep, lifestyle, and aging Health risk types were defined. In this categorized health risk types, and among them the most important factor "Risk levels of obesity, exercise habits" into three levels [good (g ood) - borderline (b order) - poor (w rong)] classified, and "eating habits risk level" was classified into three stages of the good (g ood) · borderline (b order) · bad (w rong)], these of the seven "basic risk type" [Example: Diabetes tendency (AI type or AII type), obesity / exercise habits are good (g), and eating habits are borderline (b)] )] [In the case of the above example: Agb type].

[Table 3]
[Diabetic tendency] A
“Risk level of obesity and exercise habits: g b w”
“Risk level of eating habits: g” Agg Abg Awg
“Risk level of eating habits: b” Abg Abb Abw
“Risk level of eating habits: w” Awg Awb Aww
[Hyperlipidemia tendency] B
“Risk level of obesity and exercise habits: g b w”
“Risk level of eating habits: g” Bgg Bbg Bwg
“Risk level of eating habits: b” Bbg Bbb Bbw
“Risk level of eating habits: w” Bwg Bwb Bww
[High blood pressure tendency] C
“Risk level of obesity and exercise habits: g b w”
“Risk level of eating habits: g” Cgg Cbg Cwg
“Risk level of eating habits: b” Cbg Cbb Cbw
“Risk level of eating habits: w” Cwg Cwb Cww
[Health] H
“Risk level of obesity / exercise habits: g b w
“Risk level of eating habits: g” Hgg Hbg Hwg
(However, [Health] H assumes that the eating habit is [Good] g.)

In addition, the “health type (see Table 4)” in 5 categories and 12 types in combination with the classification of “risk level of obesity / exercise habit” and “risk level of eating habit”.

100 types of “health support types” were defined in combination with 20 types of obesity-type tabs (5 classifications × 20 types).
Then, as a component for formulating an exercise program, the “health support type” is classified into four categories according to exercise habits (existence of exercise habits, how much exercise is taken in a week if any), and the “ Combined with “obesity level type” (4 categories x 20 types), the frequency of muscle strength training and aerobic exercise (how many times per week), implementation ratio (muscle training: aerobic exercise), standard exercise intensity 80 types of “exercise program components (formulation guidelines) for each health support type (see FIG. 11)” are defined.

In this way, it is possible to select and provide a “health support program” for each “health support type”.

In the determination of the “obesity level type”, when it is not known whether the body fat percentage cannot be measured, the evaluation zone is temporarily assumed to be standard (+) boundary areas A to D, and the waist and hip sizes ( cm) and applying the waist / hip ratio (waist size ÷ hip size), and in the case of apple-type obesity (waist / hip ratio is 1.0 or more for men, 0.9 or more for women), the obesity level remains in the same BMI zone If the obesity type is one level higher, and pear type obesity (West / Hip ratio is less than 1.0 for men and less than 0.9 for women), it is determined that the obesity level is one lower in the same BMI zone By doing so, it is possible to reflect the user's body shape.
Regarding (b): In order to enable the user to select a nutrition program with high individuality, the inventor of the present invention uses “Ganpule et al. 2007” based on the height, weight, age, and gender of the profile data. Formula derived from basal metabolic rate data measured at the National Institutes of Health and Nutrition for Japanese men and women aged 20 to 70 years: [{0.1238 + (0.0481 x body weight kg) + (0.0234 x height cm)- (0.0138 x age)-[0.5473 (male) or 1.0947 (female)] x x (1.000 ÷ 4.186)] (published by Indian research student Ganpule et al.)・ Calculate physical activity metabolic rate from average activity time for weekday life, housework, work, movement, weekday freedom, holiday freedom, holiday life, leisure time (life environment / exercise, sports / hobbies / entertainment leisure) Total energy by adding up metabolic activity and physical activity metabolism -Calculate the estimated consumption, compare the estimated basal metabolism calculated from the estimated total energy consumption with the standard basal metabolism, determine the physical activity level relative to the estimated total energy consumption, Devised a method to determine the activity level.

Using these standard basal metabolic rate, physical activity level, achieved physical activity level or target physical activity level, and the above profile data height, weight, age, gender, obesity type and health type, target intake Calculate the energy requirement, calculate the amount of nutrient intake from this target energy intake requirement, and combine this with the health support type described above to select a nutrition program with high individuality from the database of nutrition content I tried to do it.
(C) (d) About (e): The inventor of the present invention selects an exercise program with high individuality according to the optimum conditions of the user, particularly in muscular strength training, and accurately exercises calorie consumption. In order to make it possible to calculate the above, we focused on the fact that there is no viewpoint to quantitatively evaluate the movement of the body under the influence of gravity in the conventional method and system.

The movement of the body under the influence of gravity can be considered as movement against gravity or movement that adapts to gravity, and the higher this `` adaptation to gravity '', the more the person adapts to gravity and moves the body Can be said. Therefore, "adaptability to gravity" Skill (can move the body well: adaptability is high enough to be able to perform complex actions), 2. 2. Operating angle (can move large: the working muscles are fully used, ie, the greater the range of motion, the higher the flexibility) The three elements of power (speed x force, the higher the power, the higher the adaptability) were defined as a relative evaluation scale, and the unit was defined as “arrangement”. The definition of the unit “arrangement (l)” is as follows.
l = log ₁₀ ((Σ (J) ÷ t) × 2 ⁿ × G)
However, J = ((m × r ² × a × θ) × (β ÷ δ)
here,
J is the anatomical work m for each moving part, m is the mass of the moving part, r is the distance a from the rotation axis of the moving part to the center of gravity, the angular acceleration θ is the maximum rotation angle (rad)
β is the motion angle δ is the maximum rotation angle Σ (J) is the total t of anatomical work (J) for each motion site is the motion time (seconds)
n is the number of anatomical movements G is the load specific gravity value (g / cm)
It is.
Hereinafter, the term “arrangement” is used in the above meaning.

By using this “Arrangement (l)”, the acceleration based on exercise intensity, motion speed, and the weight / skeletal length and rotation of the motion region when the self-weight load or weight load determined from height / weight / gender is applied to the main motion region. From the distance from the axis to the center of gravity, the number of motion parts, the maximum rotation angle, the load specific gravity value of the main part, etc., the movement of the body under the influence of gravity can be systematically grasped and quantitatively evaluated. As a result, it is possible to recognize how much the user is able to perform certain exercises and adapt to gravity, and to determine relative exercise levels in all exercise categories based on the user's optimal conditions Became possible. It is also possible to evaluate the balance and superiority of each body part or anatomical movement using the standard “arrangement” as an index.
About (f) and (g): The inventor of the present invention accurately learns the user's optimum conditions (age group, exercise proficiency level, exercise level, etc.) or the appropriate operation suitable for the purpose and training system. To make it feasible, when a user specifies an illustration that represents the type of exercise selected by the system for that user, concentric (shortening contraction) and eccentric (based on the standard acceleration) The motion speed of (stretchable contraction) is converted into a motion animation having an optimal motion speed for the user at an appropriate ratio, and distributed with a rhythm melody that matches the tempo of the motion speed.

  Further, the optimum operation speed or the entire operation speed of the animation can be changed stepwise, and a partial operation speed at a specific operation part can be freely set. A melody of the optimal rhythm that matches the tempo of the operation speed is attached, and the song or melody in the storage device is selected according to the user's preference and converted to a melody of the rhythm that matches the tempo of the operation speed. Can also be provided.

According to the present invention, the following technical effects can be obtained.
(B) Obesity level (body type) based on body fat percentage by gender and age as well as BMI value and health level based on health risk level from exercise habits and eating habits based on health risk factors In order to determine the appropriate health support type, relative formulation standards and goals for exercise and nutrition programs that match physical characteristics and lifestyle habits will be clarified. It has become possible.
(Mouth) The body obtained from the standard basal metabolic rate by Ganpule et al.2007, the current relative calculation method, an index according to the ratio of subject activity time and physical activity intensity, and the correction coefficient by BMI value The total energy estimated consumption can be calculated with an approximate value that minimizes errors due to age, gender, physique differences and physical activity intensity from the active metabolic rate, and by comparing the estimated basal metabolic rate with the standard basal metabolic rate Life activity intensity can be calculated from the appropriate physical activity level to be judged, leading to the calculation of accurate target energy consumption, intake energy requirement and intake nutrients, and highly individualized nutrition based on health support types The program can be selected.
(C) Based on a database of anatomical movements of exercise items based on kinematics, biomechanics, etc., it is possible to calculate the arrangement and energy consumption for each strength training item according to optimal conditions Became. Therefore, the calorie consumption calorie is calculated from the skeletal length, mass, center of gravity ratio, and load specific gravity value of the motion part by the calorie consumption calculation means, based on the height, weight, gender and intensity, momentum, and acceleration of the exercise item, The arrangement of the movement type can be calculated from the maximum rotation angle and movement angle of the moving joint, the work performance per fixed time, the number of moving parts involved in the movement, and the load specific gravity value by the arrangement calculating means. This makes it possible to relatively evaluate how much the body adapts to gravity and to calculate clearly the energy consumed to adapt to gravity.
(D) As in the previous section (c), the arrangement can be applied to the anatomical movements of each body part performed in the physical activity ability test with reference to the database of anatomical movements of the movement items. Since it matches with the relative evaluation value in the anatomical characteristics and movement characteristics of the event, the standard arrangement can be used as an index of the optimal exercise level for selecting the exercise event, and the physical activity ability and the physical Due to the superiority and inferiority of the parts, it became possible to select exercise programs with high individuality according to the optimum conditions of the users.
(E) Based on the training system according to the purpose of use and health support type, the optimal exercise intensity for each type of exercise can be determined by applying to the exercise program by cycle and the training intensity index and exercise time index for each target area. Exercise time, number of times, number of sets, optimal break time between sets, optimal operation speed, frequency of execution, etc. are set, providing an accurate and highly individualized exercise program that will be the achievement effect and goal It is now possible to calculate the correct calorie consumption and the arrangement at that time.
(F) Concentric and eccentric based on standard acceleration are set to motion speeds with appropriate speed ratios, and animations that move in the correct form (posture and type) can be provided. It became easy. In other words, an animation with extremely high pseudo-imitation that is close to the actual human movement was realized. It is also possible to play a melody of the optimal rhythm that matches the tempo at any operating speed due to the operation shift.
(G) Not only the optimal motion speed of the motion animation according to the user's optimal conditions and purpose is automatically set, but also the motion speed of the entire animation can be shifted in stages, and specified. Since the partial speed at the movement part of can be set freely, it is possible for the user to practice the correct movement while watching the video with the melody of the optimal rhythm that matches the tempo. It became. Furthermore, appropriate calorie consumption and arrangement can be calculated based on the set motion speed of the animation.

1 is a process flow diagram illustrating the overall processing of a method and system according to the present invention. The process flow figure which shows from the classification and collation of obesity level and health level to determination of health support type according to the present invention. The process flow figure which shows to the determination of the physical activity level by calculation of the total energy estimated consumption by this invention. The process flow figure which shows from the calculation of target consumption energy and intake energy to selection of a nutrition program by this invention. The process flow figure which shows calculation of the standard arrangement used as the criteria (index of optimal exercise intensity) of the exercise program selection by the physical activity ability test by this invention. The process flow figure which shows selection of the exercise program with high individuality by the result of physical fitness measurement, the standard arrangement, etc. from selection of a utilization purpose course by this invention. The process flow figure which shows selection of the exercise program with high individuality by the result of physical fitness measurement, the standard arrangement, etc. from selection of a utilization purpose course by this invention. The process flow figure which shows the setting of the optimal tempo rhythm and acceleration by adjustment of the operation speed of an exercise | movement animation by this invention. The process flow figure which shows the calculation of the calorie consumption and arrangement by the calculation basic data by this invention. The process flow figure which shows the calculation of the energy consumption by exercise calorie consumption calculation, and the determination of a physical activity level by this invention. The process flow figure which shows the display of comprehensive evaluation by a result display function by this invention, a determination result, achievement evaluation, adaptive evaluation, a goal, a health support program, etc. The table | surface which illustrates the exercise program component (formulation guideline) according to health support type by this invention. The table | surface which illustrates the exercise program component (formulation guideline) according to health support type by this invention. The table | surface which illustrates the exercise program component (formulation guideline) according to health support type by this invention.

Embodiments of the present invention will be described below.
(1) Referring to FIG. 2, the method and system for calculating the adaptability to gravity and energy consumption for each health support type according to the present invention determines the health support type from the classification and collation of the obesity level and the health level. A process flow showing up to is shown.

  When “height / weight / body fat percentage / age / sex” is input as profile data [1] from the information terminal, the BMI value (weight ÷ height × height) in the determination device and the body fat percentage by sex / age The heights are transmitted to the body type determination means [A] based on the obesity level determination method, and the heights are divided in columns based on the BMI value (weight ÷ height × height) and the obesity level determination method based on the body fat percentage. A region where the evaluation zone based on the BMI value from the body weight corresponds to (intersects) the evaluation zone based on the body fat percentage by sex and age divided into rows is determined as the obesity level determination type, and the obesity level is determined.

  In addition, answers to questions on health risk factors such as “health condition, genetic constitution, obesity, exercise habits, eating habits, luxury goods, stress, sleep, lifestyle, aging” as a health questionnaire [2] from the information terminal Is transmitted to the health risk level determination means [B] based on the health risk level evaluation method and the health type determination method based on the health risk type in the determination device, and the answer result is obtained by the health risk level evaluation method. The risk level for each health risk factor is calculated by scoring the health risk factors from the risk level, and the risk level for each health risk factor is classified according to the basic risk type based on the health status and the risk level of the genetic constitution. The risk level type for obesity / exercise habits divided into columns and the food level risk level divided into rows Flop determines health risk level type that matches, determines the health.

Subsequently, the data adaptation function a [I] collates the obesity level and the health level based on the health risk level type adaptation method according to the obesity level determination type, and transmits it to the health support type determination means [C] in the determination device. Then, an evaluation zone based on exercise habits categorized in rows corresponding to the health risk level type and an area that matches (crosses) the evaluation zone corresponding to the obesity level determination type is determined as the health support type [a], At the same time, the program (Pg) component [3] by health support type, which serves as a guideline for the development of an exercise program based on the type of obesity determination adapted to that type, and the target health support type as the attainment target are attached to determine the degree of obesity. It is temporarily stored in a storage device together with another name of health support type and improvement of features of body type and lifestyle habits.
(2) If the body fat percentage is unknown in the input of the profile data [1] in (1) above, the data adaptation function b [II] is used for the waist and hip sizes (cm) instead of the body fat percentage. Input based on the BMI value (weight ÷ height × height) and body weight percentage based obesity area determination method, the BMI value evaluation zone from height and weight divided into columns was divided into rows By applying the waist / hip ratio (waist size ÷ hip size) to the border area that corresponds to (intersects) the body fat percentage standard (+) zone by gender and age group, If the waist / hip ratio is 1.0 or more for men and 0.9 or more for women, the body type determination means [A] in the determination device will determine apple-type obesity from the border area of the provisional obesity type and keep the same BMI value zone on the right One type with a high obesity level, or pear-type obesity if the waist / hip ratio is less than 1.0 for men and less than 0.9 for women, from the border area of the provisional obesity type to the left with the same BMI value zone One type is determined to have a low level of obesity, and thereafter, the same function as in (1) is performed that connects the answer input on the health survey form [2] to the previous one.
(3) Referring to [FIG. 3], determination of physical activity level by calculating total estimated energy consumption of the method and system for calculating adaptability to gravity and energy consumption for each health support type according to the present invention. A process flow showing up to is shown.

  “Ganpule et al. 2007” (Japanese National aged 20-70 years at National Institute of Health and Nutrition) where “Height / Weight / Age / Gender” of profile data [1] entered in (1) above is in the calculation device. Formula obtained from basal metabolic rate data measured for humans and men: Announced by Indian research student Ganpule et al.) When transmitted to the calculation means [D], [{0.1238 + (0.0481 x kg body weight) Standard basal metabolic rate [b] is calculated by + (0.0234 × height cm) − (0.0138 × age) − [0.5473 (male) or 1.0947 (female)] × (1.000 ÷ 4.186)].

Furthermore, as a weekly living situation survey [4] from the information terminal, physical activities such as “sleep, weekday life, housework, work, movement, weekday freedom, holiday freedom, holiday life, leisure (life environment / exercise / sports / hobbies / entertainment) When the average activity time for “Leisure” is manually manpowered, it is transmitted to the physical activity intensity correction coefficient adjustment evaluation means [E] in the calculation device, and the basic calculation method of physical activity metabolism [average activity time x 60 minutes x body weight X age-gender correction factor x physical activity exercise intensity] to calculate the basic physical activity metabolism for each physical activity excluding sleep time, and then to adjust the range in which errors occur for each physical activity item Calculation method of basic physical activity metabolism with index according to time ratio and physical activity intensity [(basic physical activity metabolism x main activity time ratio)-[{basic physical activity metabolism x supplementary activity time Ratio) ÷ Physical activity intensity} x Auxiliary activity intensity] to calculate the adjusted physical activity metabolic rate for each physical activity, and to adjust the correction factor based on the BMI value to correct the error due to physical differences [adjusted physical activity metabolic rate × correction A coefficient 0.7 to 0.8] is calculated, and the amount of physical activity metabolism [c] is calculated. Then, the standard basal metabolic rate [b] and the physical activity metabolic rate [c] are summed by the calculation device to calculate the total energy estimated consumption [d], which is used as the physical activity level means [F] in the determination device. When transmitted, based on the physical activity level calculation method [(total energy estimated consumption x 0.6) ÷ standard basal metabolism], the estimated total energy consumption is based on the basal metabolism ratio that is assumed to have a high physical activity level. The estimated basal metabolic rate calculated from the standard basal metabolic rate is compared to determine the physical activity level [e] relative to the estimated total energy consumption, and at the same time temporarily stored in the storage device together with the target physical activity level [f] To do.
(4) Referring to [Fig. 4], from the calculation of target energy consumption and intake energy to the selection of nutritional program of the method and system for calculating adaptability to gravity and energy consumption by health support type according to the present invention. The process flow shown is illustrated.

  When the obesity level determination type and the health risk level type existing in the storage device determined in (1) are transmitted to the intake energy calculation basic type determination means [G] in the determination device, the obesity level determination type The calculated basic body type corresponding to the obesity determination type determined in (1) above is determined from the three categories of standard, obesity, and skinny according to the basic standard for determining the intake energy, and then the intake energy by health risk level type The calculation basic type that matches the basic calculation type is determined by the health risk level type corresponding to the basic risk type categorized in (1), according to the determination format of the basic calculation type.

  Subsequently, in addition to the calculated basic type and the profile data [1] “height / weight / age / gender” in the storage device, the standard basal metabolic rate [b] calculated in (3) above and the target body Activity level [f], physical activity level [e], or achieved physical activity level [g] calculated from the exercise program selected or implemented in (5) below is calculated via the data fitting function c [III]. When transmitted to the energy consumption / intake calculation means [H] in the device, it is determined from the ratio of the basal metabolic rate to the calculated or achieved total energy consumption according to the adaptation standard of the physical activity level to the daily activity intensity. The daily activity intensity index is set by calculating or calculating from the level of achieved physical activity [0.6 ÷ physical activity level index].

  And, calculation method of intake energy by calculation basic type [(standard weight × age / sex standard basal metabolism reference value) × life activity intensity index, or (weight set by BMI value × sex setting basal metabolism reference value) × setting by BMI value Based on the ratio, or (weight set by BMI by age / obesity level x set basic metabolic reference value by life activity intensity) or (set body weight by BMI value x set basic metabolic reference value)], height, weight, age, The target intake energy requirement [h] is calculated from the gender and the daily activity intensity index according to the basic calculation type, and the target consumption energy calculation method by the basic calculation type {(standard basal metabolism x target physical activity level range) ÷ 0.6 } Or (standard basal metabolism x range of target physical activity level) x set ratio based on BMI value], based on the basic basal metabolism and BMI value, Target energy consumption in the range of activity level [i] is the range computed.

Furthermore, when the target intake energy requirement is transmitted to the intake nutrient amount calculation means [I] in the calculation device, the carbohydrates relative to the target intake energy requirement based on the standard appropriate ratio of the required nutrient amount by calculation basic type. The intake nutrient amount [j] of lipid and protein is calculated, and the data matching function d [IV] compares the calculated basic type with the health support type [a] in the storage device, and the nutrition in the determination device When transmitted to the program selection means [J], recommended foods and dishes along with restricted foods and dishes according to the basic calculation type and health support type are stored in the nutrition content database [5]. In addition to being selected as a nutritional program in the illustration display, at the same time, notes on dietary habits and nutritional programs and comments on advice are also displayed. If you specify “Illustrations of foods and dishes” from the aspect, nutritional components and their standard calories that have been numerically and graphed for each recommended food and dish in accordance with the standards of nutrients and standard calories for each food and dish It was also possible to call up the display.
(5) Referring now to FIG. 9, the method and system for calculating the adaptability to gravity and the energy consumption for each health support type according to the present invention, the calculation of the energy consumption by the calorie consumption calculation and the physical activity A process flow showing the determination of the level is shown.

  From the exercise calorie consumption [n] and the total required time calculated in the following (12) by the exercise program selected or implemented in the following (8), the health support type is obtained via the data fitting function e [V]. When collated with the exercise program formulation guideline of another program component [3], the daily average exercise calorie consumption and time required are calculated based on the weekly frequency, and this is the calculation of energy consumption and intake in the calculation device. When transmitted to the means [H], the energy consumption of the average leisure time and the average free time corresponding to the time required for the daily average exercise program of the physical activity metabolism [c] calculated last time is 1 day. The estimated or achieved energy consumption [k] is calculated in place of the average exercise calorie consumption. When this is transmitted to the energy consumption target achievement level determination means [K] in the determination device, based on the estimated or achieved energy consumption, the previously calculated total energy estimated consumption [d ], The degree of achievement relative to the target energy consumption [i], and the balance of the total energy consumption and intake per week or day by comparison with the target intake energy requirement [h].

Further, when the estimated or achieved energy consumption [k] is transmitted to the physical activity level determination means [F] in the determination device, the estimated or achieved energy consumption [k] is similar to the above (3). Based on the physical activity level calculation method [(total energy estimated consumption x 0.6) ÷ standard basal metabolism], the estimated basal metabolism calculated from the estimated or achieved energy consumption is the standard basal metabolism [b] The estimated or achieved physical activity level [g] for the estimated or achieved energy consumption is determined, and at the same time, the target physical activity level [f] is displayed.
(6) Next, referring to [FIG. 5], the criteria for selecting an exercise program based on the physical activity ability test of the method and system for calculating the adaptability to gravity and energy consumption according to the health support type according to the present invention. A process flow illustrating the calculation of a standard arrangement that is an indicator of appropriate exercise intensity is shown.

The profile data [1] “height / weight / gender”, the exercise content database [6], the exercise type information at the standard acceleration weight, and the anatomical movement database [7] When the basic anatomical information and the load specific gravity value of the active part are transmitted to the arrangement calculation means [L] in the calculation device via the data fitting function f [VI], the height, weight, and gender are used to determine the height. Gender and body part by ratio of skeletal length and Matsui coefficient (Method of approximating a body part found by Professor Hideharu Matsui in 1958 to a rigid body: a ratio that expresses mass ratio and center-of-gravity position ratio by gender and body part) Calculate the mass and skeletal length of the motion part calculated based on another mass and the center of gravity position ratio, the distance from the rotation axis of the motion part to the center of gravity, the standard acceleration of the exercise item and the maximum rotation angle of the anatomical motion joint As a constant basis,
m × r ² × a × θ
(Where m is the mass of the motion part, r is the distance from the rotation axis of the motion part to the center of gravity, a is the angular acceleration, and θ is the maximum rotation angle (rad) of the motion joint)
Is used to calculate the maximum work (J-max), and based on the calculation method of the anatomical work (J) in the exercise event, how much the actual working angle of the motion part is relative to the maximum rotation angle of the motion joint And the product of J-max and J-max × (β ÷ δ)
(Where β is the motion angle and δ is the maximum rotation angle)
Thus, the anatomical work (J) is calculated for each movement part.

Subsequently, based on the arrangement calculation method based on the anatomical movement evaluation, the work performance value per fixed time obtained by dividing the total of the individual anatomical work (J) calculated above by the movement time of the exercise item and , The load specific gravity value (g) of the active site representing how much g load is applied per 1 cm of the active site to the product of the number (n) of anatomical motions involved in the motion and the value obtained as a power of 2 / cm) and taking the logarithm [log ₁₀ ] (see [Equation 1] above), the body part to be performed in all the strength training events and physical activity ability tests required to select an exercise program A standard arrangement [1] of another anatomical movement is calculated and temporarily stored in the storage device.
(7) Referring to [FIG. 6A] and [FIG. 6B], the results of physical fitness measurement from the selection of the course of use of the method and system for calculating the adaptability to gravity and energy consumption according to the health support type according to the present invention. A process flow showing the selection of an exercise program with high individuality by a standard arrangement or the like is shown.

Physical activity ability test that performs anatomical movement for each specified body part while watching illustrations and explanations displayed on the screen on an information terminal, and physical strength by whole body endurance test that performs a predetermined physical activity for a certain period of time When the result of the measurement and the “age / gender” of the profile data [1] are transmitted to the physical strength evaluation means [M] in the determination device, the level of the anatomical motion in the physical activity ability test is The standard arrangement [1] of anatomical movement by body part calculated in 6) is used as an index to determine physical activity ability and body part superiority or inferiority, and after exercise measured by age / sex and whole body endurance test From the heart rate and the resting heart rate, an evaluation based on the age-based whole body endurance assessment method [(post-exercise heart rate-resting heart rate) ÷ {(220-age)-resting heart rate} x 100] Of intake Converted to evaluation, the aerobic capacity is determined and temporarily stored in the storage device.
(8) When the course for the purpose of use [8] is selected from the information terminal, the health support type [a] and the health support type-specific program component [3] determined in the above (1) are converted into the data adaptation function g [VII ] Is transmitted to the exercise program selection means [N] in the determination device, and based on the exercise program formulation guidelines for each health support type, the strength training and aerobic exercise implementation ratio, the weekly implementation frequency, and the strength training event The number, the course distribution, the optimal exercise intensity, the optimal adaptive exercise time of the aerobic exercise, and the appropriate exercise intensity are extracted as exercise program formulation basic data, and the extracted results are extracted by the data fitting function h [VIII] (7 ), The standard arrangement [l] for the strength training item calculated in (5) above First, basic training items with anti-gravity muscles as the main active muscles are selected and arranged according to the number of distributions by course of strength training, and then training that adapts to the health support type and purpose of use Depending on the number of events set in the system, major strength training events that match physical activity abilities and body part superiority or inferiority are selected and arranged by course.

  Next, if you select an aerobic exercise that matches the appropriate exercise intensity based on aerobic capacity by course, a one-cut illustration that identifies all selected exercises at a glance from the exercise content database [6]. Can be called as an exercise program.

  The illustrations of the exercise events color-coded by gender can be arbitrarily selected / changed according to preference from the choices by the illustration color selection means [O] in the determination device. When “exercise item name” is designated, a detailed explanation of the action and an anatomical chart in which the part of the working muscle can be recognized with a simple symbol are displayed.

Furthermore, if “Exercise program”, “Exercise item”, or “Working muscle” is specified following “Stretch exercise” on the selection screen, it is transmitted to the exercise program selection means [N] in the determination device. Stretch exercises suitable for preparatory exercises and organizing exercises of the selected exercise program, or stretch exercises according to the exercise muscles for each exercise type are displayed as illustrations. By specifying “stretch exercises”, it became possible to visualize detailed explanations of movement methods and conscious parts and working muscles.
(9) The exercise program selected in the above (8) and exercise program development basic data together with the purpose of use [8] and health support type [a] and exercise by health support type via the data matching function i [IX] When collated with the program formulation guidelines and transmitted to the exercise program selection means [N] in the determination device, the training system corresponding to the purpose of use and the health support type according to the training system adaptation standard for each purpose of use and health support type [ m] and a training method are set.

  In addition, according to the strength training intensity setting criteria for each target area and muscle group size, from the optimal exercise intensity of muscle strength training to the target area and weight load that are adapted to the purpose of use and health support type and muscle group The training intensity index for each size is set, and the aerobic exercise time and intensity index for each strengthening target area adapted to the purpose of use and health support type is determined from the optimal exercise time and appropriate exercise intensity for aerobic exercise. Is set.

Subsequently, the strength index of strength training and the time and intensity index of aerobic exercise are classified according to the purpose of use and period through the data adaptation function j [X] based on the exercise program and the set training system and training method. Adapted to the application standards of strength and quantity for the exercise program, optimal exercise intensity, number of times, number of sets, optimal break time between sets, optimal operation speed, recruitment system, frequency of implementation, and The optimal exercise intensity, exercise time, recruitment system, and frequency of aerobic exercise are set.
(10) When “exercise program change / correction” is designated from the information terminal, the exercise program data set in (9) above is stored in the determination apparatus via the data adaptation function k [XI]. When transmitted to [N] and the target “main active muscle part” is selected in the strength training, exercise in a range of ± 1 rank based on the standard arrangement calculated in (6) of the relevant main active muscle part The event is adjusted, and the exercise intensity is within the range of ± 1 rank, the weight load is within the range of ± 20% of the set load based on the training intensity index for each target area and muscle group size or the program for each cycle. The number of times and the number of sets are within the range specified by the adjusted training intensity index or the cycle-specific program, and the weight load is based on the adjusted load. It is adjusted within the range specified by the training intensity index by region and muscle group size.

  In aerobic exercise, the exercise type that suits the user can be freely selected from the options, and the exercise intensity is adjusted within a range of ± 1 rank based on the program for each strengthening target region and each cycle, and the exercise time Is extended or shortened within a range of ± 20% according to the increase or decrease based on the exercise intensity adjusted as described above.

The frequency of weekly exercise training and aerobic exercise are both adjusted ± 1 times from the set frequency, and the user can change or modify the exercise program midway through subjective evaluation.
(11) Referring to [FIG. 7], the optimum tempo rhythm and acceleration by adjusting the motion speed of the motion animation of the method and system for calculating the adaptability to gravity and energy consumption according to the health support type according to the present invention. A process flow showing the setting of is shown.

  When the “exercise event illustration” selected in (8) above is specified from the information terminal, the standard is obtained by the linkage between the moving image conversion means [P] and the optimum tempo / rhythm conversion means [Q] in the determination device. Concentric (shortening contraction) and eccentric (stretching contraction) based on simple acceleration have an appropriate speed ratio, and the optimum set by age group, exercise proficiency level, purpose of use and training system in (9) above It is converted to motion animation of motion speed and distributed along with the melody of the optimal rhythm that matches the tempo of motion speed.

  And, with the operation speed shift function [R] in the judgment device, the optimal operation speed or the entire operation speed of the animation can be shifted stepwise, and the partial operation speed at a specific operation part is also free. In addition, not only the melody of the optimal rhythm that matches the tempo of the set operation speed is attached, but also linked with the acceleration calculation device [S] in the calculation device. An acceleration based on the obtained operation speed is calculated.

When a song is selected from a song or melody in the storage device according to the user's preference and transmitted to the optimum tempo / rhythm conversion means [Q] via the evening adjustment function l [XII], the operation is performed. It can be converted into a melody with an optimal rhythm that matches the tempo of the speed.
(12) Referring to [FIG. 8], a process flow showing calculation of calorie consumption and arrangement based on calculation basic data of the method and system for calculating adaptability to gravity and energy consumption for each health support type according to the present invention. Is shown.

  From the information terminal, the optimal exercise intensity, number, number of sets, optimal break time between sets and optimal exercise intensity / exercise of the aerobic exercise type in the exercise program set or implemented in (9) above The acceleration based on the time and the motion speed calculated in the above (11) is the height / weight / sex of the profile data [1] in the storage device, the motion item information in the motion content database [6], anatomical Exercise calorie consumption calculation means [T] in the calculation device via the data fitting function m [XIII] together with basic anatomical information for each exercise item in the movement database [7] and the load specific gravity value of the active part The mass of the motion part and the skeletal length calculated from the ratio of the skeletal length and the Matsui coefficient based on the height, weight, and sex in (6), the distance from the rotation axis of the motion part to the center of gravity, Based on the calculation basis, the acceleration based on the operation speed and the mass of the operation site under the own weight load or the weight load due to the load specific gravity on the operation site [{m (mass of the anatomical operation site) × a (angular acceleration) × (− cos θ1 (joint angle at the end of motion) + cos θ2 (joint angle at the start of motion)} × 2 (reciprocating motion)] is calculated, and the maximum force (F) for each anatomical motion site is calculated. F) is the product of the distance from the rotation axis of the moving part to the center of gravity [maximum force of the anatomical moving part (F) × the distance from the rotating axis of the moving part to the center of gravity (cm)]. Calculate for each motion part, and convert the torque for each motion part from joule (J) to calories (cal) [(torque of motion part (Nm = J) ÷ 4.1855] and consumption per motion per motion part) Calories are calculated.

  Subsequently, the calorie consumption for each exercise item is calculated from the product of the total number of calories consumed per operation and the number of times / sets of the motion parts involved in each exercise item, and the preparation exercises set in (9) above Calculate calorie consumption [n] for all strength training items, including calories burned during organized exercises and breaks between sets.

  In addition, based on the calculation of weight, gender, optimal aerobic exercise intensity and exercise time for aerobic exercise based on the energy consumption index per unit time by exercise item and exercise intensity, all aerobic exercise items The calorie consumption [n] of the exercise program is calculated, and the exercise calorie consumption [n] of all the exercise programs is also calculated by adding the exercise calorie consumption of all the strength training items.

  Further, when the same input data necessary for calculating the calorie consumption in the strength training event is transmitted as it is to the arrangement calculation means [L] in the calculation device, the self-weight load or the weight load is the main active part. Based on the above [Equation 2], based on the calculation basis, the mass of the motion part, the skeleton length, the distance from the rotation axis to the center of gravity of the motion part, the acceleration based on the motion speed, and the maximum rotation angle of the anatomical motion joint The maximum work (J-max) is calculated, and based on the calculation method of the anatomical work (J) in the motion item, how much the actual working angle of the motion part is relative to the maximum rotation angle of the motion joint The ratio is calculated, and the anatomical work (J) in the exercise item is calculated for each motion site by the above [Equation 3].

  Subsequently, on the basis of the arrangement calculation method based on the anatomical movement evaluation, the exercise item arrangement [l] is calculated according to the above [Equation 1], and the physical activity is evaluated from the arrangement evaluation means [U] in the determination apparatus. Evaluation of relative adaptability to gravity and arrangement balance by body part or anatomical movement are determined.

The product of the mass of the anatomical motion part and the square of the distance from the rotation axis of the motion part to the center of gravity [m (mass of the anatomical motion part) × (distance from the rotation axis of the motion part to the center of gravity) ² ], It is possible to calculate the moment of inertia (o) representing the difficulty in moving for each moving part with respect to the adaptability to gravity.
(13) Referring to [FIG. 10], comprehensive evaluation, determination result, achievement evaluation, and adaptive evaluation of the method and system for calculating adaptability to gravity and energy consumption for each health support type according to the present invention by the result display function A process flow showing the display of goals, goals, health support programs, etc. is shown.

  The results of the determinations (1) to (12) and the evaluation are automatically transmitted to the result display function [V] in the determination device, sorted according to the evaluation type, and the health support type [a]. The health support type nickname based on the obesity level, and the improvement points related to the characteristics of the body type and lifestyle are displayed as a “comprehensive evaluation”, and the physical activity ability and the superiority or aerobic ability of the body part, standard basis by the regular evaluation measurement Metabolism [b] ・ Physical activity metabolism [c] ・ Total energy consumption estimated consumption [d] and physical activity level [e] Competing calorie consumption [n], estimated or achieved energy consumption [k] for muscle training and aerobic exercise, and total energy estimated consumption [d] of the previous calculation, reaching target energy consumption [i] Balance of total energy consumption and intake per day or comparison of target energy intake requirement [h], estimated or achieved physical activity level [g] for achieved energy consumption or “achieved” As an “assessment”, it also includes a standard arrangement [l] for all strength training events, an arrangement of exercise events selected or performed [l], an assessment of the adaptability of physical activity to relative gravity, by body part or The arrangement balance and moment of inertia (o) for each anatomical movement are displayed as “adaptive evaluation”.

  Further, the target health support type, target energy consumption [i], target intake energy requirement [h], intake nutrient amount [j], and target physical activity level [f] are displayed as “reached target”.

  And the illustrations of the exercises selected as an exercise program, optimal exercise intensity, number of times, number of sets, break time between sets, optimal operation speed, estimated exercise calorie consumption [n], recruitment system, for each type of strength training Implementation frequency, optimal exercise intensity, exercise time, estimated exercise calorie consumption [n], recruitment system, implementation frequency, preparation exercises and organizing exercise stretches, and recommended foods and dishes as nutrition programs Illustrations of foods and dishes to be played, comments on eating habits and nutrition programs, and comments on advice are displayed as “health support programs”.

[1] Profile data for height, weight, body fat percentage, age, and sex [2] Health questionnaire [3] Program components by health support type [4] Weekly living situation survey [5] Nutrition content database [6] Exercise content database [7] Anatomical movement database [8] Purpose of use [a] Health support type [b] Standard basal metabolism [c] Physical activity metabolism [d] Total energy estimated consumption [ e] Physical activity level [f] Target physical activity level [g] Achieved physical activity level [h] Target intake energy requirement [i] Target energy consumption [j] Intake nutrient amount [k] Achieved (or estimated) Energy consumption [l] Arrangement (or standard arrangement)
[M] Training system [n] Exercise calorie consumption [o] Moment of inertia

Determination device [A] Body type determination means [B] Health risk level determination means [C] Health support type determination means [F] Physical activity level determination means [G] Intake energy calculation basic type determination means [J] Nutrition program selection means [K] Energy consumption target achievement level determination means [M] Physical fitness evaluation means [N] Exercise program selection means [O] Illustration color selection means [P] Movie conversion means [Q] Optimal tempo / rhythm conversion means [R] Operation speed shift function [U] Arrangement evaluation means [V] Result display function

Calculation device [D] Ganpule et al. 2007 Calculation means [E] Physical activity intensity correction coefficient adjustment evaluation means [H] Energy consumption and intake calculation means [I] Intake nutrient amount calculation means [L] Arrangement calculation means [ S] Acceleration calculation device [T] Exercise calorie consumption calculation means

Data adaptation function [I] Data adaptation function a Matching obesity type and health type [II] Data adaptation function b Applying waist / hip ratio to provisional obesity type [III] Data adaptation function c Calculation basic type and [ Matching with b], [f], [e] or [g] [IV] Data matching function d Verification of basic calculation type and health support type [a] [V] Data matching function e Calorie consumption [n] And verification of required time and exercise program formulation guidelines [VI] Data adaptation function f [1], [6], [7] and the load specific gravity value of the active part [VII] Data adaptation function g [8], [A], [3] Conformance [VIII] Data Conformance Function h Collation of basic data for determining exercise program and physical fitness measurement results [IX]

Data conformance function i Exercise program formulation basic data, [8], [a] is collated with formulation guidelines [X] Data conformance function j [m] conforms to purpose of use and application standard of intensity / quantity to periodic motion Pg [XI] Data adaptation function k Adaptation of exercise program data to exercise program selection means [N] [XII] Data adaptation function l Adaptation of selected melody to tempo of operation speed [XIII] Data adaptation function m Calculation basic data and acceleration, Conformance of [1], [6], [7]

Claims (4)

Information processing equipment
The exercise intensity and amount of exercise, the exercise time, the acceleration due to the operation speed, the height / weight / sex, the basic anatomical information and the load specific gravity value of the main part stored in the storage device From the skeletal length, mass, center of gravity ratio, and load specific gravity value of the moving part,
[[{<(Mass x Acceleration of Anatomical Motion Area) × (−cos θ1 (Joint Angle at the End of Exercise) + cos θ2 (Joint Angle at the Start of Exercise)] × 2 Reciprocal Motion> × The Center of Gravity from the Rotation Axis of the Motion Site The total amount of calories consumed per motion of the motion parts involved in each exercise item according to the distance to ÷ 4.1855] × (number of times × number of sets)],
Calculating calorie consumption during all strength training events, including calories burned during preparation exercises, organizing exercises, and breaks between sets;
Calculating the calorie consumption of all aerobic exercises based on the product of exercise time based on the energy consumption index per unit time by exercise item and exercise intensity; and
Calculating the total calories burned for a certain period using the calories burned for each exercise event, the exercise calories burned for all strength training events, and the exercise calories burned for all aerobic exercises;
Using the total exercise calorie consumption to evaluate the user's actual exercise calorie consumption;
Furthermore, from the input data and the maximum rotation angle and motion angle of the motion joint stored in the storage device, the number of motion sites involved in the exertion of work and exercise per fixed time, the load specific gravity value,
l = log ₁₀ (Σ (J) ÷ t × 2 ⁿ × G)
However, J = ((m × r ² × a × θ) × (β ÷ δ)
here,
J is the anatomical work m for each moving part, m is the mass of the moving part, r is the distance a from the rotation axis of the moving part to the center of gravity, the angular acceleration θ is the maximum rotation angle (rad) of the moving joint
β is the motion angle δ is the maximum rotation angle Σ (J) is the total t of anatomical work (J) for each motion site is the motion time (seconds)
n is the number of anatomical movements G is the load specific gravity value (g / cm)
The value (l) for evaluating the movement of the human body under the influence of gravity as the adaptability to gravity is calculated for each exercise item, and the value (l) to be evaluated is evaluated by the evaluation means. Assessing the relative adaptability of activity to gravity and determining its balance by body part or anatomical movement;
Selecting an exercise type to be performed by the user using the value (l) to be evaluated;
How to run. Presenting the selected exercise type to a user as a motion animation,
Concentric and eccentric based on standard acceleration with an appropriate speed ratio, motion animation converted to the user's age, exercise proficiency, or the optimum motion speed set by the purpose and training system Delivering with the optimal rhythm melody that matches the speed tempo,
Stepwise changing the motion speed of the entire animation, and freely setting a partial motion speed at a specific motion part;
The method of claim 1 further comprising: A system for assessing the relative adaptability of physical activity to gravity and determining the balance by body part or anatomical movement;
Means to input the exercise intensity and amount of exercise, the exercise time, the acceleration due to the operation speed,
Means for storing height, weight, and gender as profile data;
A database of anatomical movements that store basic anatomical information and load specific gravity values of active sites;
Storage means for storing the skeletal length, mass, center-of-gravity ratio, and load specific gravity value of the moving part;
Exercise intensity and amount of exercise, exercise time, movement speed, height / weight / gender, basic anatomical information and load specific gravity value of active part, and skeletal length / mass / center of gravity ratio / load specific gravity of the active part Value [[{{(mass of the anatomical motion part × acceleration) × (−cos θ1 (joint angle at the end of motion) + cos θ2 (joint angle at the start of motion)] × 2 reciprocating motion> × motion part (Distance from the rotation axis to the center of gravity} ÷ 4.1855)] Calculate the calorie consumption by calculating the calorie consumption for each exercise item by the sum of the calories consumed per motion of the motion parts involved in each exercise item × (number of times × number of sets) A quantity calculation means,
Calculate the calorie consumption for all strength training items, including calories consumed during preparation exercises, organizing exercises, and breaks between sets, and exercise time based on the energy consumption index per unit time for each exercise type and exercise intensity. To calculate the calorie consumption of all aerobic exercise, and use the calorie consumption for each exercise type, the exercise calorie of all strength training items, and the exercise calorie of all aerobic exercise for a certain period of time. A means of calculating the total calorie consumption of
Means for evaluating the user's actual exercise calorie consumption using the total exercise calorie consumption;
Further, using the above input data, based on the maximum rotational speed angle and motion angle of the motion joint stored in the storage device, the performance of work per fixed time, the number of motion parts involved in motion, and the load specific gravity value,
l = log ₁₀ (Σ (J) ÷ t × 2 ⁿ × G)
However, J = ((m × r ² × a × θ) × (β ÷ δ)
here,
J is the anatomical work m for each moving part, m is the mass of the moving part, r is the distance a from the rotation axis of the moving part to the center of gravity, the angular acceleration θ is the maximum rotation angle (rad) of the moving joint
β is the motion angle δ is the maximum rotation angle Σ (J) is the total t of anatomical work (J) for each motion site is the motion time (seconds)
n is the number of anatomical movements G is the load specific gravity value (g / cm)
Arrangement calculating means for calculating a value (l) for evaluating the human body movement under the influence of gravity as adaptability to gravity,
Means for selecting an exercise item to be performed by the user using the value (l) to be evaluated;
A system characterized by comprising: Means for presenting the selected exercise type as a motion animation to a user;
The presenting means converts the concentric and eccentric based on standard acceleration to the optimum operating speed set by the user's age, exercise proficiency, purpose of use or training system, with an appropriate speed ratio. Movie conversion means [P] for distributing motion animation together with a melody of an optimal rhythm that matches the tempo of the operation speed, and an optimal tempo / rhythm conversion means [Q],
The operation speed transmission means [R] for changing the operation speed of the whole animation stepwise and setting a partial operation speed at a specific operation part freely;
The system of claim 3 further comprising:

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