CN103745122A - Computer processing method for student exercise prescriptions - Google Patents
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- CN103745122A CN103745122A CN201410030819.2A CN201410030819A CN103745122A CN 103745122 A CN103745122 A CN 103745122A CN 201410030819 A CN201410030819 A CN 201410030819A CN 103745122 A CN103745122 A CN 103745122A
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Abstract
The invention discloses a computer processing method for student exercise prescriptions. The computer processing method includes: establishing a students' physique evaluation index system, a students' physique diagnosis method and standard and an exercise prescription database; subjecting students' physique conditions to scientific evaluation and diagnosis; issuing personalized exercise prescriptions according to diagnosis results. Through man-machine diagnosis, background knowledge of different exercise schemes and exercise items can be introduced to students, so that the students can obtain theoretical support in exercise practice, and interest of the students in exercise is enhanced. The computer processing method is of great importance in aspects of carrying out in-depth sunshine sports, guiding the students to exercise scientifically and further promoting school sports work to be standardized and scientized.
Description
Technical field
The present invention relates to computing machine treatment technology.
Technical background
Healthy physique is that teenager is the basic premise of motherland and people's service, is the embodiment of the vigorous vitality of the Chinese nation.Along with mushroom development " sunlight physical culture ", the schools of various levels and categories are all at the concept of modern health of actively implementing " healthy first ", implement in full the < < student physical health standard > > that country formulates, organize colourful extracurricular exercise.School is in the extracurricular exercise of tissue, utilize various Health Testing System devices to carry out test job to physique constitution of students, games master evaluates student's Physical Health Status according to test data and < < student physical health standard > > again, according to evaluation result, propose for this raw exercise prescription, the extracurricular exercise method of the science of a set of student's the best is proposed, reach < < student physical health standard > > requirement.In said process, by games master's student is evaluated and " prescribing " one by one, quite bother, workload is very large, and lack of standardization.Therefore, make school physical education's work further move towards standardization and scientific, become a problem demanding prompt solution.
Summary of the invention
The object of the invention is, for solving extracurricular standardization and the scientific problem of taking exercise of school student, to propose a kind of computer processing method of student movement prescription.
A computer processing method for student movement prescription, is characterized in that,
The first step, set up physique constitution of students assessment indicator system, and generate corresponding program:
The 1.1st step: set up physique constitution of students single index evaluation criterion
According to < < student physical health standard > >, adopt method of percentiles to set up respectively male and female students standards of grading---single index grade form, desired value is decided to be from 0-100 and divides; And the test event of < < student physical health standard > > is stipulated to corresponding weighted value β i, the weight beta i of each test event is as table 1:
Table 1 student physical health standard weight coefficient
The 1.2nd step: set up Students ' Comprehensive evaluation of physical fitness and health standard
The single index weighting score of student's test is added to summation, obtains its comprehensive physique score, computing formula is:
In formula, ni represents the score of each single index, and β i represents the weight of each single index;
The 1.3rd step: set up physique constitution of students grade evaluation standard
Again < < student physical health standard > > is carried out to five evaluations such as grade with method of percentiles, be greater than 90% for first-class, 75%-90% is better-than-average, 25%-75% is medium, 10%-25% is below average, and 10% is inferior; Obtaining on student's single index score and overall target score basis, contrast classification standard, can obtain physique constitution of students grade evaluation.
Second step, set up physique constitution of students diagnostic method and standard, and automatically generate corresponding program
The 2.1st step: set up physique constitution of students situation diagnostic method and standard
According to < < sportsman competitive ability model and selection standard > > (Zhong Tianfa, Tian Majiu, People's Sports Press, 1994.103.) the elite's model of competitive ability structure theory building, adopts Radar method to realize the individuation analysis of physique constitution of students situation.Find out the critical value of advantage index critical value and inferior position index; The large I of advantage index critical value radius adopts index mean value+standard deviation (being M+std) of < < student physical health standard > > to represent, the large I of inferior position index critical value radius adopts index mean value-standard deviation (being M-std) of < < student physical health standard > > to represent; Create each student's radar map, radar map is researched and analysed, can obtain the differentiation of the quality of its single index;
The 2.2nd step: set up physique constitution of students gap diagnostic method and standard
Model " physique target challenge model value M ", then calculate the gap coefficient CX of distance objective model value M, gap coefficient CX=weight beta i × (model value-actual test value) ÷ model value × 100; By formula, draw every student's gap coefficient CX; According to the sequence to index difference coefficient CX size, the individual difference of diagnosing out every student's indices to exist, and then provide foundation for it provides personalization, scientific exercise prescription;
Above-mentioned " physique target challenge model value M " announces in > > according to < < Shandong Province's physical health of students monitoring result in 2011, the mean value of indices test result front 10%, be to form the each efficiency index optimal set of physique constitution of students body, embodied the best expectation value to physique constitution of students development within a period of time.
The 3rd step, set up exercise prescription database
By physical training project survey that student is often participated in and expert, think in < < student physical health standard > > which sports events has remarkable train on to student and select, using the database of selection result healthy body content option in formulating exercise prescription;
Data-base content comprises: motor pattern, exercise intensity, motion frequency and exercise duration;
Above-mentioned motor pattern is the core content of exercise prescription, is according to the difference of student's physique, hobby and place, apparatus, and the multiple alternative mode of motion providing, as run, play basketball etc.;
The physiological stress that when above-mentioned exercise intensity mainly refers to motion, human body bears; The common counter of controlled motion intensity comprises the indexs such as heart rate, maximal oxygen uptake, haemoglobin; Due to heart rate collection more for convenience, preferentially adopt heart rate index, within recommending 60%-80% that heart rate index is maximum heart rate, maximum heart rate calculated by the 220-age;
Above-mentioned motion frequency refers to practitioner's exercise number of times weekly, according to the difference of student's individual physique situation, motor pattern and exercise intensity, recommends different motion frequencies, is no less than weekly 2 times;
Above-mentioned exercise duration referred to for the time in main movement pattern, did not comprise warming-up exercise time and relaxation exercise time; According to difference sports events, exercise intensity and student's individual physique, determine, be generally 40-60 minute;
The operation of the 4th step, exercise prescription software
The 4.1st step: start computer system;
The 4.2nd step: project and the achievement of typing student test; Gather physique constitution of students test master data, acquisition mode is as follows:
A, collection automatically, can use domestic many Health Testing System device test datas and be transferred to computing machine, or
B, manual input test data;
The 4.3rd step: system is according to the data of typing and collection, and postitallation evaluation index system program, carries out individual event evaluation and comprehensive evaluation, draws opinion rating result;
The 4.4th step: system is according to the data of typing and collection, operational diagnostics standard program, the individual difference of diagnosing out every student's indices to exist;
The 4.5th step: system, according to opinion rating result and individual difference, is searched exercise prescription database, the exercise scheme that sports events, frequency, the intensity of output needle to this student combines.
The inventive method can adopt MVC system model, on Visual studio2008 research/development platform, carries out the programming of knowledge reasoning process with Turbo mono-polog artificial intelligence language, carries out each intermodule contact and explains the programming of interface with C language; Exercise prescription software systems can match with domestic many Health Testing System devices, have the function such as evaluation, data output, system maintenance of formulation, the body-building effect of selection, the body-building prescription of data typing and processing, physique constitution of students evaluation and diagnosis, body building method.
The inventive method can also be carried out conventional mathematical statistics to evaluation result.Can scientifically evaluate, diagnose student's Physical Health Status, and provide personalized exercise prescription according to diagnostic result.By man-machine conversation, can introduce student to different exercise schemes, the background knowledge of sports events, allow student in Sports Practice, obtain theoretical support, increased student's exercise interest; By information, feed back the multidate information that students ' is taken exercise, in time exercise prescription is adjusted.System can also be used on network, facilitates body builder to seek advice from any time and export Query Result; Adopt window technique, drop-down menus'display, flexible operation mode is easy.For carry out in a deep going way " sunlight sports " and instruction of papil carry out science exercise, further promote school physical education work move towards to standardize, scientific significant.
Accompanying drawing explanation
Fig. 1 is man Lee freshman radar map;
Fig. 2 is freshman Wu woman radar map.
Embodiment
According to the training example to freshman year man, schoolgirl, operational process of the present invention is described below.
One, according to what stipulate in < < student physical health standard > >, must survey project and test request, Lee freshman man and Wu female are tested as experimental subjects, and test result is as following table 2:
Student's test data complete list before table 2 experiment
Two,
1, start computer system;
2, the upper table of manual input test data;
3, computer system is according to the data of typing, and postitallation evaluation index system program, carries out individual event evaluation and comprehensive evaluation, draws comprehensive physique score and grade, and result is as follows;
92.1 points of the comprehensive physique scores of boy student Lee, grade evaluation is medium; 102.7 points of the comprehensive physique scores of female Lee, grade evaluation is medium.
Computer system is according to the data of typing, and operational diagnostics standard program obtains the Radar figure of tested object, sees Fig. 1, Fig. 2; Fig. 1 is the male radar map of Lee, Fig. 2 Wu female radar map; Man, schoolgirl's physique Pros and Cons index and quantity thereof are clear and legible as seen from the figure.
4, radar map is analyzed, diagnose out that every student's indices exists quality value and each index difference coefficient, and sort and be aggregated into following table 3 by index difference size:
Table 3 Students ' Comprehensive physique score and grade evaluation
As shown in Table 3, boy student's advantage index is 50m, height and weight index, and weak tendency index is 1000m, vital capacity body mass index, sitting posture trunk bending forwards; Schoolgirl's advantage index is sitting posture trunk bending forwards, rope skipping in 1 minute, and weak tendency index is health weight standard, grip body mass index, standing long jump.
5, computer system is according to opinion rating result and individual difference distance, according to " protect excellent, carry weak " principle, search exercise prescription database, automatically generate exercise prescription, take 10 weeks exercise prescription main contents of Wu female and Li man as example, the exercise scheme of the sports events of output needle to these two students, frequency, intensity combination; As following table 4 and table 5:
10 weeks exercise prescription main contents of table 4 Wu female
10 weeks exercise prescription main contents of table 5 Lee man
According to the exercise prescription of table 4 and table 5, by the exercise of 10 weeks, Lee man and the every physique of Wu female are retested, test data is as following table 6:
Table 6 is tested the comparison of forward and backward physique constitution of students index
From upper table 6, find out, through the intervention experiment of 10 weeks exercise prescriptions, schoolgirl's body weight index is reduced to 64kg by the 65.8kg before testing, and makes height and weight standard reach the advantage radius of 100 points.Schoolgirl's height and boy student's height, body weight do not show conspicuousness and change, although illustrate that the experiment of 10 weeks brings certain influence to height and body weight, not remarkable, also side illustration freshman's body shape is grown and substantially tended towards stability.
The important indicator that lung body mass index alive is reflection physical function is also the key factor of reflection University Students ' Fitness, Health; In the situation that body weight change is little, vital capacity presents conspicuousness and changes, and the intervention exercise through exercise prescription be described, student's cardio-pulmonary function be improved significantly.
The contrast of forward and backward every fitness is found by experiment, boy student's 1000m, vital capacity body mass index, sitting posture trunk bending forwards, and schoolgirl's height and weight standard, grip body mass index, standing long jump, achievement improves obviously.And other target times all have progress in various degree, therefore account for motion prescription content design is with strong points, and exercise method is science, reasonable comparatively.
By surveying the online experiment of instrument and the explanation of above-mentioned example with domestic well-known physique, system of the present invention operates steadily, easy and simple to handle understandable, designed exercise prescription science, rationally, can, according to physique constitution of students feature, improve the specific aim of exercise, and then reach the object that promotes physique constitution of students development.
Claims (1)
1. a computer processing method for student movement prescription, is characterized in that,
The first step: set up physique constitution of students assessment indicator system, and generate corresponding program:
The 1.1st step: set up physique constitution of students single index evaluation criterion
According to < < student physical health standard > >, adopt method of percentiles to set up respectively male and female students standards of grading---single index grade form, desired value is decided to be from 0-100 and divides; And the test event of < < student physical health standard > > is stipulated to corresponding weighted value β i, the weight beta i of each test event is as table 1:
Table 1 student physical health standard weight coefficient
The 1.2nd step: set up Students ' Comprehensive evaluation of physical fitness and health standard
The single index weighting score of student's test is added to summation, obtains its comprehensive physique score, computing formula is:
In formula, ni represents the score of each single index, and β i represents the weight of each single index;
The 1.3rd step: set up physique constitution of students grade evaluation standard
Again < < student physical health standard > > is carried out to five evaluations such as grade with method of percentiles, be greater than 90% for first-class, 75%-90% is better-than-average, 25%-75% is medium, 10%-25% is below average, and 10% is inferior; Obtaining on student's single index score and overall target score basis, contrast classification standard, can obtain physique constitution of students grade evaluation;
Second step: set up physique constitution of students diagnostic method and standard, and automatically generate corresponding program
The 2.1st step: set up physique constitution of students situation diagnostic method and standard
The elite's model of competitive ability structure theory building according to < < sportsman competitive ability model and selection standard > >, employing Radar method realizes the individuation analysis of physique constitution of students situation, finds out the critical value of advantage index critical value and inferior position index; The size of advantage index critical value radius adopts index mean value+standard deviation of < < student physical health standard > > to represent, the size of inferior position index critical value radius adopts index mean value-standard deviation of < < student physical health standard > > to represent; Then create each student's radar map, radar map is researched and analysed, can obtain the differentiation of the quality of its single index;
The 2.2nd step: set up physique constitution of students gap diagnostic method and standard
Model physique target is challenged model value M, then calculates the gap coefficient CX of distance objective model value M, gap coefficient CX=weight beta i × (model value-actual test value) ÷ model value × 100; By formula, draw every student's gap coefficient CX; According to the sequence to index difference coefficient CX size, the individual difference of diagnosing out every student's indices to exist, and then provide foundation for it provides personalization, scientific exercise prescription;
Above-mentioned physique target challenge model value M announces in > > according to < < Shandong Province's physical health of students monitoring result in 2011, the mean value of indices test result front 10%, be to form the each efficiency index optimal set of physique constitution of students body, embodied the best expectation value to physique constitution of students development within a period of time;
The 3rd step: set up exercise prescription database
By physical training project survey that student is often participated in and expert, think in < < student physical health standard > > which sports events has remarkable train on to student and select, using the database of selection result healthy body content option in formulating exercise prescription;
Data-base content comprises: motor pattern, exercise intensity, motion frequency and exercise duration;
Above-mentioned motor pattern is the core content of exercise prescription, is according to the difference of student's physique, hobby and place, apparatus, the multiple alternative mode of motion providing;
The physiological stress that when above-mentioned exercise intensity mainly refers to motion, human body bears; The index of controlled motion intensity adopts heart rate index, and within the 60%-80% that recommendation heart rate index is maximum heart rate, maximum heart rate calculated by the 220-age;
Above-mentioned motion frequency refers to practitioner's exercise number of times weekly, according to the difference of student's individual physique situation, motor pattern and exercise intensity, recommends different motion frequencies, is no less than weekly 2 times;
Above-mentioned exercise duration referred to for the time in main movement pattern, did not comprise warming-up exercise time and relaxation exercise time; According to difference sports events, exercise intensity and student's individual physique, determine, get 40-60 minute;
The 4th step: the operation of exercise prescription software
The 4.1st step: start computer system;
The 4.2nd step: project and the achievement of typing student test; Gather physique constitution of students test master data, acquisition mode is as follows:
A, collection automatically, can use domestic many Health Testing System device test datas and be transferred to computing machine, or
B, manual input test data;
The 4.3rd step: system is according to the data of typing and collection, and postitallation evaluation index system program, carries out individual event evaluation and comprehensive evaluation, draws opinion rating result;
The 4.4th step: system is according to the data of typing and collection, operational diagnostics standard program, the individual difference of diagnosing out every student's indices to exist;
The 4.5th step: system, according to opinion rating result and individual difference, is searched exercise prescription database, the exercise scheme of sports events, frequency and the intensity combination of output needle to this student.
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Cited By (15)
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| CN105117597A (en) * | 2015-08-20 | 2015-12-02 | 邵哲 | Method and device for making exercise program |
| CN105147306A (en) * | 2015-03-07 | 2015-12-16 | 沈阳体育学院 | Taijiquan fitness intelligent service platform |
| CN105578302A (en) * | 2014-10-01 | 2016-05-11 | 虹映科技股份有限公司 | Method and system for displaying characteristics of motion video |
| CN105608467A (en) * | 2015-12-16 | 2016-05-25 | 西北工业大学 | Kinect-based non-contact type student physical fitness evaluation method |
| WO2017120788A1 (en) * | 2016-01-13 | 2017-07-20 | 张阳 | Exercise mode recommendation method and system |
| CN107730414A (en) * | 2017-09-28 | 2018-02-23 | 北京指南树科技有限公司 | Physical culture wireless teaching system |
| CN107798638A (en) * | 2017-09-08 | 2018-03-13 | 正方软件股份有限公司 | Method is recommended based on the curricula-variable for improving radar map |
| CN107993719A (en) * | 2017-12-18 | 2018-05-04 | 李欣悦 | Teenager's body and mind Qualities Evaluation and workout scheme commending system and method |
| CN108595626A (en) * | 2018-04-23 | 2018-09-28 | 温州市鹿城区中津先进科技研究院 | A kind of students'growth archives economy based on big data analysis |
| CN109152556A (en) * | 2016-06-06 | 2019-01-04 | 麦克赛尔株式会社 | Menu Generating System, methods and procedures are practiced in finger movement |
| CN110349673A (en) * | 2019-06-27 | 2019-10-18 | 吉林大学 | A kind of group's physique assessment method based on Gaussian Mixture distribution |
| CN110728425A (en) * | 2019-09-09 | 2020-01-24 | 南京起跑线数据科技有限公司 | Teaching quality analysis system for physical education and health education of primary and secondary schools |
| CN107122584B (en) * | 2017-03-15 | 2020-05-01 | 苏州大学 | Outdoor exercise planning system and method based on big data |
| CN111863246A (en) * | 2020-07-31 | 2020-10-30 | 浙江波菲教育玩具有限公司 | Infant body measurement movement data acquisition evaluation and intervention system and method |
| CN114209309A (en) * | 2021-12-14 | 2022-03-22 | 天津科技大学 | Movement behavior analysis method based on visual technology |
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| CN105578302A (en) * | 2014-10-01 | 2016-05-11 | 虹映科技股份有限公司 | Method and system for displaying characteristics of motion video |
| CN105147306A (en) * | 2015-03-07 | 2015-12-16 | 沈阳体育学院 | Taijiquan fitness intelligent service platform |
| CN105117597A (en) * | 2015-08-20 | 2015-12-02 | 邵哲 | Method and device for making exercise program |
| CN105608467A (en) * | 2015-12-16 | 2016-05-25 | 西北工业大学 | Kinect-based non-contact type student physical fitness evaluation method |
| CN105608467B (en) * | 2015-12-16 | 2019-03-22 | 西北工业大学 | Non-contact type physique constitution of students assessment method based on Kinect |
| WO2017120788A1 (en) * | 2016-01-13 | 2017-07-20 | 张阳 | Exercise mode recommendation method and system |
| CN109152556A (en) * | 2016-06-06 | 2019-01-04 | 麦克赛尔株式会社 | Menu Generating System, methods and procedures are practiced in finger movement |
| CN107122584B (en) * | 2017-03-15 | 2020-05-01 | 苏州大学 | Outdoor exercise planning system and method based on big data |
| CN107798638A (en) * | 2017-09-08 | 2018-03-13 | 正方软件股份有限公司 | Method is recommended based on the curricula-variable for improving radar map |
| CN107730414A (en) * | 2017-09-28 | 2018-02-23 | 北京指南树科技有限公司 | Physical culture wireless teaching system |
| CN107993719A (en) * | 2017-12-18 | 2018-05-04 | 李欣悦 | Teenager's body and mind Qualities Evaluation and workout scheme commending system and method |
| CN108595626A (en) * | 2018-04-23 | 2018-09-28 | 温州市鹿城区中津先进科技研究院 | A kind of students'growth archives economy based on big data analysis |
| CN110349673A (en) * | 2019-06-27 | 2019-10-18 | 吉林大学 | A kind of group's physique assessment method based on Gaussian Mixture distribution |
| CN110349673B (en) * | 2019-06-27 | 2022-08-05 | 吉林大学 | Group constitution evaluation method based on Gaussian mixture distribution |
| CN110728425A (en) * | 2019-09-09 | 2020-01-24 | 南京起跑线数据科技有限公司 | Teaching quality analysis system for physical education and health education of primary and secondary schools |
| CN110728425B (en) * | 2019-09-09 | 2023-10-27 | 南京起跑线数据科技有限公司 | Quality analysis system for physical education and health education of middle and primary schools |
| CN111863246A (en) * | 2020-07-31 | 2020-10-30 | 浙江波菲教育玩具有限公司 | Infant body measurement movement data acquisition evaluation and intervention system and method |
| CN114209309A (en) * | 2021-12-14 | 2022-03-22 | 天津科技大学 | Movement behavior analysis method based on visual technology |
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Application publication date: 20140423 |