CN102333574A - A kind of locomitivity rating system - Google Patents

A kind of locomitivity rating system Download PDF

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CN102333574A
CN102333574A CN2011800012465A CN201180001246A CN102333574A CN 102333574 A CN102333574 A CN 102333574A CN 2011800012465 A CN2011800012465 A CN 2011800012465A CN 201180001246 A CN201180001246 A CN 201180001246A CN 102333574 A CN102333574 A CN 102333574A
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athletic
sportsman
test
test result
data
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克里斯托弗·L·霍姆斯
大卫·H·安尼斯
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Nike International Ltd
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    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
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    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0616Means for conducting or scheduling competition, league, tournaments or rankings
    • GPHYSICS
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    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0062Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
    • A63B2024/0065Evaluating the fitness, e.g. fitness level or fitness index
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0062Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
    • A63B2024/0068Comparison to target or threshold, previous performance or not real time comparison to other individuals
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2225/00Miscellaneous features of sport apparatus, devices or equipment
    • A63B2225/20Miscellaneous features of sport apparatus, devices or equipment with means for remote communication, e.g. internet or the like
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2225/00Miscellaneous features of sport apparatus, devices or equipment
    • A63B2225/50Wireless data transmission, e.g. by radio transmitters or telemetry
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2243/00Specific ball sports not provided for in A63B2102/00 - A63B2102/38
    • A63B2243/0037Basketball

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Abstract

In one embodiment, the present invention relates to standardization and reach the athletic constitution ranking method of more at least two athletic full movement abilities more accurately.Each sportsman accomplishes at least two different locomitivity tests.Each Test Design is for being used for being determined at the needed different motion technical ability of definite motion effective competition.The result of given athletic each test is through relatively coming standardization with this test result and database; This database provides the distribution of similar other sportsman's test result of level, distributes one for each test result based on the percentile of this test result in test result distributes then and counts.In conjunction with coming from counting of athletic at least two different motion aptitude tests, generate the athletic constitution grading score of each sportsman's full movement quality of expression.

Description

A kind of locomitivity rating system
The cross reference of related application
It is 61/148 that the application requires to enjoy application number; 293, the applying date be January 29 in 2009 day, be called the interim patent of the U.S. of " locomitivity rating system (Athletic Performance Rating System) "; Application number is 61/149; 251, the applying date be that U.S. Patent application and application number that February 2 in 2009, day, were called " locomitivity rating system (Athletic Performance Rating System) " (attorney docket is NIKE.146269) are 12/559,082, the applying date be September 14 in 2009 day, be called the rights and interests of the U.S. Patent application of " locomitivity rating system (Athletic Performance Rating System) " (attorney docket is NIKE.146275).
The application's theme and application number are 61/169; 993, the applying date is that U.S. Patent application and application number that April 16 in 2009, day, were called " locomitivity rating system (Athletic Performance Rating System) " (attorney docket is NIKE.146269) are 61/174,853, the applying date is that the U.S. Patent application that May 1 in 2009, day, were called " locomitivity rating system (Athletic Performance Rating System) " (attorney docket is NIKE.148870) is associated.
Technical field
The athletic constitution grading that the present invention relates to be mainly used in such as sports such as training, assessment sportsmen is measured system with relevant ability.
Background technology
Motion is extremely important in our society.Except on the court, confronting with each other, the sportsman is also competition each other outside the field usually.For example, the Scholar Athlete perhaps vies each other higher first position for the position in the team (the more time in the court) routinely.Graduating students who graduated from middle school for university's motion scholarship of making us thirsting for or the like also with other Scholar Athletes' competitions.Likewise, the amateur during some move is the same with the professional athlete in the special exercise usually to vie each other for work.The key factor of all these competitions is locomitivities of special exercise person, athletic constitution and this sportsman be to other people demonstration or prove the ability of these abilities in other words.
Speed, agility, reaction time and strength are some characteristics that influence sportsman's athletic constitution of confirming.Therefore, the sportsman makes great efforts to improve their locomitivity in these fields, and coach and recruiter tend to seek those have sportsman's of best above-mentioned characteristic combination to(for) special exercise.
So far, athletic evaluation and relatively have subjectivity to a great extent.Talent scouts travel whole country and only look for potential sportsman through oral for particular team, and many top sportsmen are the blind spots of recruiting.It usually is planless assessing and recruiting athletic these methods.
The method of a kind of evaluation and comparing motion person's athletic constitution comprises lets the sportsman carry out general exercise and the training of a cover.The sportsman who carries out quickly and/or more accurately exercise or training is considered to usually that more slowly or more to carry out the sportsman of same exercise or training better on inaccuracy ground than those.For example, the conventional use " around awl training (cone drills) " when training and assessment sportsman.In typical " around the awl training ", the sportsman must be along predetermined route between several mark circular cones, in progradation, carries out many break-ins fast and/or from forward to conversion backward perhaps side direction run.
Even now training and testing training is widely used for a lot of public organizations (for example middle school, university, training camp and sparetime and professional team), but the training of such training and testing depends on coach or trainer's subjective assessment usually or by the time set of human operator manual triggers.Therefore, they are limited by human perception and mistake inherently.Variation in these human perception can cause best sportsman not to be determined and to award with wrong.
In addition, on purpose editing and estimate the timing of collecting from these exercises and training and the effort of other information is limited.For example, though among one group of sportsman the fastest sportsman can confirm that these known systems but do not allow this sportsman and the whole world are not on purpose compared the sportsman who participates in same training on the same day through specific training.
For example, in Basketball Match, university and middle school sportsman are at least partly estimated the ability that they compete based on their performance in the training camp before the select-elite of being held by NBA in ABA (NBA).In this training camp, the sportsman accepts a series of tests that are intended to explain each sportsman's ability, and each NBA team can make wise decision select-elite day when selecting the sportsman thus.
Test provides a certain sportsman the snapshot of the ability in fc-specific test FC for each NBA team although it is so, but neither one test is compiled into and provides comprehensive athletic constitution to grade and/or classification.The data point that test result is just discrete, these data points are not considered each test in other its tests and are observed in an isolated space.In addition; Such test score hardly can be for up-and-coming university, middle school and young sportsman provide benefit, because the test result before the select-elite is not easy by classification and therefore can not is used for judging their ability and their technical ability is compared with following NBA sportsman with active service by university, middle school and young sportsman.
Summary of the invention
Embodiments of the invention relate to the method that sportsman's ability is graded.In one embodiment, the present invention relates to standardization and reach the athletic constitution ranking method of more at least two athletic full movement abilities more accurately.Each sportsman accomplishes at least two different locomitivity tests.Each Test Design is for being used for being determined at the needed different motion technical ability of definite motion effective competition.The result of given athletic each test is through relatively coming standardization with this test result and database; This database provides the distribution of similar other sportsman's test result of level, distributes one for each test result based on the percentile of this test result in test result distributes then and counts.In conjunction with coming from counting of athletic at least two different motion aptitude tests, generate the athletic constitution grading score of each sportsman's full movement quality of expression.
For example; When the motion of confirming is basketball; The locomitivity test can comprise that the measurement sportsman does not have run-up the height that vertically bounces, the spurt time that measurement sportsman run-up spring is touch highly, the measurement sportsman passes through preset distance, and measures the circulation timei of sportsman around projected route.This method also can comprise the vertical jumping height of no run-up, run-up spring altitude touch height, spurt time and circulation timei and at least one look-up table of being used to generate athletic constitution rank score contrasts.The athletic athletic constitution rank score that also can conversion coefficient is applied to calculate drops in the desired range to allow one group of athletic rank score to be tested.
The purpose of content of the present invention is to introduce the selected of notion with the form of simplifying, and notion of the present invention illustrates in greater detail in the following specific embodiment.Content of the present invention is non-to be intended to confirm the key feature or the essential feature of claimed subject matter, the also non-scope that is intended to be used to help confirm the theme of claim.
Description of drawings
Below with reference to accompanying drawings the present invention is elaborated, wherein:
Fig. 1 has described the flow chart of athletic constitution rating system in accordance with the principles of the present invention;
Fig. 2 has described the user interface of the data collector cards that is used for the athletic constitution ranking method of Fig. 1;
Fig. 3 is the testing equipment that is used for the athletic constitution rating system of Fig. 1 and the sketch map of test configurations;
The athletic perspective view that Fig. 4 vertically bounces and tests for the no run-up of demonstrating in accordance with the principles of the present invention;
Fig. 5 is for be used for confirming the perspective view of maximum altitude touch testing equipment highly in accordance with the principles of the present invention;
Fig. 6 is the perspective view of the testing equipment among the athletic Fig. 5 that shows the maximum altitude touch test of demonstration in accordance with the principles of the present invention;
Fig. 7 is the sketch map that is used for the testing equipment of definite forbidden zone agility (lane agility) in accordance with the principles of the present invention;
Fig. 8 for be used for according to principle of the invention demonstration confirming kneeling position energetically the both hands of toss lift the athletic perspective view of medicine ball;
Fig. 9 is for carrying out the athletic perspective view of multistage obstacle test according to the principle of the invention;
Figure 10 is exemplary capability guide in accordance with the principles of the present invention;
Figure 11 is the table that is presented at an instance of the data of collecting during the basketball test activity;
Figure 12 is an exemplary look-up table of women basket baller's the vertical spring of no run-up;
Figure 13 is for showing vertically the bounce exemplary graphs of data of many women basket baller's observed no run-ups in sports ground to be tested;
Figure 14 is the table of demonstration applicable to the exemplary women sport person of basketball " W-score ";
Figure 15 is the table of demonstration applicable to the exemplary women sport person of basketball " W-score ";
Figure 16 is a flow chart, has described the method for exemplary according to an embodiment of the invention generation athletic constitution grading score;
Figure 17 is the block diagram that is applicable to an example calculation environment carrying out embodiments of the invention;
Figure 18 is the embodiment of another exemplary capability of athletic constitution grading that is used to generate fast throwing softball according to principle of the present invention;
Figure 19 is for showing the fast table of throwing an instance of the data of collecting during the softball test activity;
Figure 20 is an exemplary look-up table of women fast pitch softball person's vertical spring;
Figure 21 is for showing the exemplary graphs of many women fast pitch softball person observed vertical spring data in sports ground to be tested;
Figure 22 is for showing the table applicable to the exemplary women sport person's who throws softball soon " W-score "; And
Figure 23 is for showing the table applicable to the exemplary women sport person's who throws softball soon " W-score ".
The specific embodiment
Introduce purport of the present invention in detail at this, to satisfy legal requirement.But explanation itself is not to be used to limit protection scope of the present invention.More properly; The inventor has reckoned with all right embodied in other of the claimed purport of the present invention; Combine with other the present or following technology, thus comprise with this document in the different step of step explained, or with this document in the combination of the similar step of the step explained.In addition; Though term " step " and/or " square frame " can be used for representing the difference composition of institute's method for using at this; But these terms not will be understood that any certain order between each step that implies this paper disclosure, only and if except having described each sequence of steps clearly.
Embodiments of the invention relate to the method that sportsman's ability is graded.In one embodiment, The present invention be directed to standardization and reach the method for the athletic constitution grading of more at least two athletic full movement abilities more accurately.Each sportsman accomplishes at least two different locomitivity tests.Each Test Design is to be used for being determined at the needed different motion technical ability of definite motion effective competition.The result of given athletic each test is through relatively coming standardization with this test result and database; This database provides the distribution of similar other sportsman's test result of level, distributes one for each test result based on the percentile of this test result in test result distributes then and counts.In conjunction with coming from the athletic constitution grading score that athletic at least two different motion aptitude tests number of degrees generate each athletic full movement quality of expression.
In detail with reference to Fig. 1; Method 10 to the athletic constitution grading is provided; It comprises holds at least two different exercise tests, and this exercise test is designed to grade to such an extent that assign to assess given athletic technical performance and/or ability through generate full movement quality for the sportsman.
Each Test Design is to be used for being determined at the needed different motion technical ability of definite motion effective competition.For example, in basketball movement, athletic constitution ranking method 10 comprises holds four discontinuous tests, and this test can be used for confirming the athletic full movement quality grading of the male sex.In the another kind configuration, when it related to basketball movement, athletic constitution ranking method 10 comprises held six discontinuous tests that can be used for definite women sport person's full movement quality grading.Exemplary testing equipment and configuration are schematically illustrated among Fig. 3.This testing equipment that is used to measure and collect test data and device can be that to be disclosed in the application number that the assignee owns together be 11/269; 161, the applying date is the type in the U.S. Patent application on November 7th, 2005, and the disclosed content of this U.S. Patent application is through all being incorporated into this with reference to the mode of quoting.
Continuation confirms that with reference to Fig. 1 the testing procedure of athletic full movement quality can start from step 12, and at first in step 14, confirming to receive test run to mobilize is the male sex or women.If mobilized by test run is the male sex, then this athletic body weight is measured in step 16 and at the enterprising line item of data collector cards, the data collector cards is as shown in Figure 2.After measured body weight, in step 18 sportsman do not have run-up vertically bounce (no-step vertical jump) test.
No run-up vertically bounce the main sportsman of announcement of test lower part of the body peak power state of development and be on court or other hard flat, horizontal surface, to carry out.The sportsman takeoffs suddenly with bipod through squatting down and utilizes arms swing to carry out reverse vertical simultaneously to jump, to reach maximum height (Fig. 4).The measurement of this vertical bounce can be recorded on physics or the electronic data collector cards (Fig. 2).
In case the vertical spring with no run-up of athletic body weight is recorded on the data collector cards, then in step 20, can calculate athletic peak power.This peak power that calculates also can be shown and be recorded on the data collector cards with the vertical data of bouncing with no run-up of athletic body weight.
As stated, no run-up is vertically bounced and is measured the ability of sportsman from the vertical spring of general standing position.Except that definite no run-up is vertically bounced (promptly from general stationary position jump); Athletic constitution ranking method 10 comprises that also measuring run-up jumps (approach jump); Thereby it allows sportsman through towards the target run-up or walk to arbitrary direction and move (move-either), to assess athletic functional skip capability.
As illustrated in Figures 5 and 6, for example the scale of tape measure for example can be fixed on the structure as backboard.In case scale invests on the backboard, promptly allow the sportsman upwards to stretch one's arm the zone that reaches as high as more than definite ground with interior takeofing towards said scale near this scale and single pin or both feet from 15 feet radian in fact.As sportsman during near take-off built on stilts then; Run-up is jumped to the height that reaches and can visually be read for the position of this scale based on athletic palmistry; Perhaps read through electronic sensor, this height can be recorded as in step 22 athletic " maximum altitude touch ".As peak power, this maximum altitude touch also can be recorded on the data collector cards of Fig. 2.
Reach after the height what measure that run-up jumps, the sportsman can stand the timing spurt in the preset distance.In a kind of configuration, the sportsman makes a spurt and ran about 75 feet, its probably be equivalent to basketball court length 3/4ths.The time that the sportsman ran preset distance is measured and can be recorded on the data collector cards of Fig. 2 in step 24.
With reference to Fig. 7, through confirming athletic agility to the motor-driven sportsman being clocked during through projected route of sportsman.In a kind of configuration, this route is the square frame of 16 feet in fact * 19 feet sizes, " the paint district " of its basketball court of making peace greatly or the consistent size of " square frame ".The ability that the sportsman is crossed paint district is carried out timing provides the evaluation about athletic whole agility.Can require the sportsman to center on square frame and run individual pen or many circles.The sportsman can measure in step 26 and be recorded in the data collection list around the measurement that box runs the time of circle.
Except that aforementioned peak power, maximum altitude touch, the spurt of 3/4ths places and forbidden zone agility, also can require the kneeling position toss energetically (kneeling power ball toss) of male sex sportsman's execution in step 24 and the multistage obstacle (test) (multi-stage hurdle) of step 30.The instance that Fig. 8 provides the sportsman to can be used for lifting the testing arrangement of medicine ball, this medicine ball are used for confirming kneeling position toss grading energetically.Particularly, the sportsman begins to test and lift the medicine ball of predetermined weight from kneeling position.In a kind of configuration, medicine ball is three kilograms, and it is totally made with the hands from kneeling position by the sportsman and lifts.The overall distance that medicine ball is advanced can be recorded in the data collection list.
Skip obstacle continuously and carry out (as shown in Figure 9) at the fixed time by interim through requiring the sportsman for the test of multistage obstacle.In a kind of configuration, the record sportsman skips the double-legged number of skips of 12 inches high obstacles two interims of 20 seconds, and two intervals of 20 seconds can be spaced by a rest of ten seconds.The number of times of the skip jump that lands can be used as multistage obstacle rank record on data collection list.
Though can require male sex sportsman to carry out kneeling position toss energetically (kneeling power ball toss) and multistage obstacle (test) (multi-stage hurdle); Though and these data are useful and verifiable to athletic full movement quality, from kneeling position energetically the data of toss and multistage obstacle (test) also can be not used in the rank of definite full movement quality.
The result of given athletic each test is through relatively coming standardization with this test result and database; This database provides the distribution of similar other sportsman's test result of level, distributes a number of degrees for each test result based on the percentile of this test result in test result distributes then.For example, in the step 32, peak power, maximum altitude touch, the spurt of 3/4ths places and forbidden zone agility data can be with reference to single form or the indivedual look-up tables corresponding to peak power, maximum altitude touch, the spurt of 3/4ths places and forbidden zone agility.This look-up table can comprise with fc-specific test FC (being peak power, maximum altitude touch, the spurt of 3/4ths places and forbidden zone agility) must be divided into the basis and the point value that distributes.In step 34, can write down the point value of this distribution.In order to be used for producing full movement quality rank, can in step 36, convert and make up the above-mentioned point value that distributes through look-up table in step 38.This process will be explained in more detail with reference to Figure 16.
Continuation is with reference to Fig. 1, and when confirming that in step 14 mobilized by test run is the women, the no run-up of record is vertically bounced in step 40.As male sex sportsman, no run-up vertically bounce the test mainly disclosed sportsman's lower part of the body peak power state of development and on court or other hard flat, horizontal surface, carry out.The sportsman takeoffs suddenly through following bipod and utilizes arms swing to carry out the reverse vertical jump simultaneously, to reach maximum height (Fig. 4).
After measurement is vertically bounced in no run-up, in step 42, measure women sport person's maximum altitude touch, and in step 44, measure the spurt of 3/4ths places.In step 46, measure the forbidden zone agility, and this forbidden zone agility is used for vertically bouncing with no run-up, make a spurt in maximum altitude touch and 3/4ths places combines definite women sport person's full movement quality rank.
As male sex sportsman, women sport person accepts the kneeling position multistage obstacle test in toss test and the step 50 energetically in the step 48.Carry out above-mentioned test in the same way though women sport person is the same with male sex sportsman, as shown in Figure 8, women sport person can use lighter medicine ball.In a kind of configuration, male sex sportsman uses three kilograms medicine ball and women sport person uses two kilograms medicine ball.
In case in step 40,42,44,46,48 and 50, carried out above-mentioned test; In step 52, will not have that run-up is vertically bounced, maximum altitude touch, the spurt of 3/4ths places, forbidden zone agility, kneeling position energetically the data of toss and multistage obstacle with reference to single look-up table or look-up table individually.
In step 54, the data of each each self-test are distributed point value with reference to look-up table for each test.The point value that in step 54, distributes can be combined in step 56 and converted subsequently, can in step 58, generate full movement quality rank based on the point value that converts and combine thus.
Though women sport person's test is similar with male sex sportsman, do not write down women sport person's body weight.Same, peak power can be not used in the full movement quality rank of confirming women sport person.Although peak power can be not used in the full movement quality rank of confirming women sport person, as set forth above, the vertical jumping height of no run-up, kneeling position energetically toss and multistage obstacle by reference be used for definite full movement quality rank.An exemplary look-up table is provided, and this look-up table provides each the ability grading to a series of tests that is used for women sport person in Figure 10.
No matter special exercise person's sex is how, can be through measuring and writing down hundreds of athletic standardized test data and confirm look-up table.Standardized data can be passed through testing classification, with the mapping ability scope with for setting up percentile classification and threshold value at each test value of sportsman's test period observation.The classification of processing form can and utilize the statistics function to be converted into point value by score, thinks that each fc-specific test FC (being peak power, maximum altitude touch, the spurt of 3/4ths places and forbidden zone agility) sets up the look-up table of each score.In case made up look-up table, in order to confirm full movement quality rank, can be with reference to test data in look-up table.
The test data of single sportsman's sample can obtain from the data collector cards, and then can and convert by classification, score draws full movement quality rank.
The test data of collecting at the sports ground of test activity (like associating place, camp ground etc.) is transfused to; For example; Directly through hand-held device (not shown) input database and can being presented on this hand-held device, or with form shown in Figure 2 from the long-range input database of hand-held device.Except that multistage obstacle (MSH), each test can allow twice test, and this multistage obstacle (MSH) is a test that comprises two jump phase.
Figure 11 provides an instance of the data of collecting.The test cell of Figure 11 is following: NSVJ=does not have run-up vertically bounce (inch); Maximum altitude touch (inch); The multistage obstacle of MSH=(quantity of jump); Forbidden zone agility (second); 3/4ths places spurt (second); KnPB=kneeling position toss energetically (foot).
Be converted into mark access points (fractional event points) from the optimum of each test test result through score (consulting) table that is referenced as each test and provides.For the athletic basketball grading of the male sex, for example not having the vertical spring of run-up is a test, and peak power (it comes from body weight and the vertical jumping height of no run-up) is the score project.The look-up table (upper limit of limit of power) of the vertical spring of no run-up that is used for women sport person is provided, to illustrate an example of look-up table among Figure 12.Each possible test result is corresponding to the rank and the mark access points of distributing.
In the instance of above-mentioned Figure 12, the classification of distributing to each test result can derive from the standardized data of collecting for the hundreds of young sportsman of women's basketball in each activity in all parts of the country before.These standardized datas of classifying, and each value is converted into the percentile into empirical cumulative distribution function (eCDF).This percentile or classification depend on original thermometrically (normal data), and are the functions of the size and the module testing value of data set.
Above athletic constitution gets subsystem and comprises two steps: the standardization of original score and standardized score is converted into the point value of accumulation.Standardization is the prerequisite of the data of the different tests of comparison.Step 1 is guaranteed its autotelic comparison subsequently, and step 2 is confirmed the particular aspects (for example being increasing extreme ability of repayment or the recurrence that reduces day by day) of scoring system.Because the mapping (mapping) that forms in the step 2 is converted into point value with standardized score, so it never needs renewal, and is applicable to all tests at large, and no matter motion and measurement standard.Standardization and the careful selection that transforms function provide consistent rank with evaluating ability according to predetermined character.
For the result that the difference that relatively comprises pitcher (battery) is tested, it is necessary making result standardization with common standard (common scale).If data are standards, common standardization is Z-score (z-score), (positive and negative) numerical value of the standard deviation between its expression observation and the mean value.Yet when the data criteria of right and wrong, the Z-score is no longer suitable, because to the data from different distributions, they do not have conforming interpretation.The more stable percentile u that is standardized as empirical cumulative distribution function (ECDF), it defines as follows:
Figure BDA0000086627640000111
In aforesaid equation, x is for treating standardized original measurement result; y 1, y 2..., y nFor being used for the data of calibration activities, II{A} is meant if incident A takes place to be 1 otherwise to be 0 target function.Notice that u depends on purpose initial data x and equal original measurement y as a result.
Summation in the square brackets add 1/2 and denominator in (n+1) that use guarantee the strict inequality of u ∈ (0,1).Though definition is complicated, u is through adjusting and calculating by all calibration data (y 1, y 2..., y n) and treat that the data set that standardized original score x forms calculates at an easy rate.
u = [ # of y ′ slessthanx ] + 0.5 [ ( # of y ′ sequaltox ) + 1 ] # of y ′ s + 1
= [ # of ( y ′ sandx ) lessthanx ] + 0.5 [ # of ( y ′ sandx ) equaltox ] # of ( y ′ sandx )
Notice that this definition also is applicable to grouped data (although any possible time all should use initial data).
Although the ECDFs that calculates in the step 1 provides common standard; Through the more diverse test result of this common standard; But for the grading ability; ECDFs is inappropriate, because they reward (progressive rewards) without progression and percentile " anchor " (integrity checking) is as one man given point value.Therefore, the percentile that calculates being transformed (through unconverted 1 pair 1 mapping) is necessary for suitable some rank.
Contrary Weibull (Weibull) conversion provides such conversion, provides as follows:
Figure BDA0000086627640000114
whereα=1.610andλ=2.512
Above-mentioned functional dependence is in two parameters (α and λ) and produce similar with the two parameter power laws that the are applicable to original score in nature component curve that gets.Parameter alpha and λ are selected and are used for roughly satisfying following four rules, the relation between the percentile of this rule adjustment capability and the point value of giving:
1. the 10th percentile should approximately be accomplished 10 of rated maximum.
2. the 50th percentile should approximately be accomplished 30 percent of rated maximum.
3. the 97.7th percentile should approximately be accomplished a hundred per cent of rated maximum.
4. the 99.9th branch should approximately be accomplished one of the percentage 125 of rated maximum.
Because generally, four regulations can not satisfy through two parameter models simultaneously, thus parameter be selected be used for minimizing some differences measure (in this case, for the log-square-error with (sum of squared log-errors)).Yet estimation is for the specific selection relative insensitivity of difference measurement.
Original in order to explain (non-grouping) but data are methods of time spent, use by nine observed values: 1,620 25 27 19 18 26 27 15 calibration data set formed are considered to three kinds of abilities 12,16 and 30 marking.
For x=16, exist in the calibration data (15) one to equal 16 observed value smaller or equal to x observed value and one.Therefore,
Figure BDA0000086627640000121
Being summarised in the following table of calculating provides.
Figure BDA0000086627640000122
For back compatible, maybe be based on the grouped data flash awards.Consider to give four kinds of performances 40,120,135 and 180 marking with following calibration data set of dividing into groups.Here, packet label is corresponding with lower limit, for example, is designated as the measurement result that 90 group comprises the time interval (90,100).
Divide into groups Calculate
<50 0
50 2
60 19
70 33
80 63
90 39
100 20
110 17
120 26
130 14
140 4
150 3
160 1
170 4
Amount to 245
For x=135, there be 0+2+...+17+26=219 observed value, these observed values in the grouping are less than the value that comprises x and 14 in same grouping.Therefore,
Figure BDA0000086627640000131
Being summarised in the following table of calculating provides.
Figure BDA0000086627640000141
Standardization is carried out as the example of initial data with conversion process fully; Yet, must be noted that the uniformity of guaranteeing to divide into groups handles.All original values that are included in same group will cause the same standard value, and then cause same score.In brief, make data collect and store simplification based on grouped data marking with the cost of discrimination rate (only scope, rather than exact value write down) and complexity (uniformity of packet label is handled).
Under few situation, it is available that the summary statistics (for example average and standard deviation) of calibration data is only arranged.If make the hypothesis of normal data, so initial data can be in
Figure BDA0000086627640000142
Figure BDA0000086627640000143
with normsdist () function by standardization.
Said method greatly depends on the hypothesis of standard.Therefore, if data are non-type, it will show very poor inevitably.Because the stability based on the ECDF method of the data of original or grouping is not enjoyed in the standardization of hypothesis, the method, and should be avoided, only if having no option.
Should technology in order to explain, suppose that the mean value and the standard deviation of the calibration data set of normal distribution is respectively 98.48 and 24.71, and score x=150 is gratifying.Like this, u=normsdist ((150-98.48)/24.71)=0.981.
As above,
Figure BDA0000086627640000144
In case normal data is collected in some way and classifies, like the above-mentioned mode that is used for given test, its eCDF is disperseed to draw with the display capabilities curve.For example, the non-vertical spring data of standing to 288 girl's observations are shown among Figure 13 on sports ground.For those results who does not observe, for example, 26.6 inches, the classification of value (99.37 percentiles) distributes through interpolation method; Need to distribute the point that does not observe of classification shown in figure 13.
For each test, confirm " maximum " and " bottom line " value, it has represented the line of demarcation of the score of each test.Any test value that is equal to or higher than maximum obtains the identical number of access points.Likewise, be equal to or less than the identical number that MIN any test value obtains access points.The effect of the integrality that keeps graded scale is born in these lines of demarcation.Thereby maximum has limited indivedual outstanding test results distorts the chance that sportsman's rank is covered up the mediocre ability of other tests.
Utilize the statistics function that each classification is converted into the mark access points, like transforming of above-mentioned proposition about contrary Weibull.In Figure 13, shown to the access points of girl's the vertical spring of no run-up component curve, shown in figure, show point with percentage, that is, 0.50 point (being that 18.1 inches jumps are given) is used as 50 percent demonstration.These mark access points are also referred to as W-score (" W " representes Weibull).
Contrary Weibull transform can processing test data non-standard (distortion) distribution, like above description.This conversion also allows in the upper end of limit of power progression score.The progression score is distributed point value to the test result progression ground (more generously) that Dorje more goes out.In Figure 13, described this progression of the jump that is used to be higher than 26 inches, wherein red curve becomes precipitous gradually, and the individual data point becomes clearer.The progression score allows to strengthen outstanding ability, thereby makes this grading more useful as the instrument that is used for talent's examination.
Figure 12 has screened a sample sportsman, and " Andrea White (Andrea White) ", it has jumped 26.5 inches during the vertical spring of no run-up.This value is corresponding with 1.078 w-score.She sets up through the look-up table separately with reference to these tests all w-scores of test.These w-scores in Figure 14, have been shown.
For each the grading test variable, add with the mark access points to obtain athletic total w-score (for example, 5.520 among Figure 14).This sum multiply by the project conversion coefficient and obtains grading.For girl's basketball grading, for example, conversion coefficient is 18, so Andrea White's full movement quality is rated 99.36 (=5.520 * 18).
Should " project conversion coefficient " come to confirm for each grading through the quantity of the project of grading and the grading scope of expectation.Grading should totally drop in 10 to 110 the scope.For example, boy's conversion coefficient is 25, and this grading comprises 4 variablees: peak power, maximum altitude touch, forbidden zone agility and the spurt of 3/4ths places.
If women sport person " reaches the upper limit (hit the ceiling) " in all six tests (shown in Figure 15), her total w-score will produce about grading of 130 (129.85) so.
No matter special exercise person's sex how, table 1 has been listed each exemplary test sequence of above test, and the time cycle of distributing each test to carry out.
The test sequence that table 1-is exemplary and the time of distribution
Test/measurement Time-count cycle
Height (not comprising footwear) N/A
Body weight N/A
No run-up is vertically bounced Less than one (1) minute
Maximum altitude touch One (1) minute
The spurt of 3/4ths places Less than one (1) minute
The forbidden zone agility One (1) to one. five (1.5) minute
Kneeling position is toss energetically One (1) to one. five (1.5) minute
Multistage obstacle One (1) minute
For each difference of each testing evaluation must be divided into the sportsman full movement quality grading is provided, but this full movement quality rank passive movement person is used for their level and/or abilities relatively with other sportsmen of their age group.In addition, the sportsman can utilize these information that their skill set and NBA or WNBA sportsman's skill set are compared, and how compares with professional basketball sportsman's skill set with the skill set of confirming them.
Referring to Figure 16,, the illustrative methods 100 that generates athletic constitution grading score has been described according to embodiments of the invention.Athletic constitution grading score can be special exercise person and confirms motion, like basketball, is associated and produces.So then athletic constitution grading score can be used for, for example, and athletic constitution and/or comparing motion person that identification is individual.At first, shown in step 110, be that one group of sportsman collects the locomitivity data relevant with special exercise.The locomitivity data can comprise, such as but not limited to, the vertical jumping height of no run-up, run-up jump altitude touch height, preset distance spurt time, around circulation timei of projected route or the like.Can be one group of hundreds of or thousands of sportsman and write down the locomitivity data.In the data storage of the database 212 of for example Figure 17, can store such locomitivity data.
In step 112, the locomitivity data of collection, locomitivity test result for example is by standardization.Correspondingly, sportsman's locomitivity test result (for example original test result) with each exercise test definite motion association that carry out is carried out standardization.That is, each athletic original test result can be according to common standard by standardization.Standardization can make the data corresponding to the different motion test compare.In one embodiment, the standardized locomitivity data percentile that is empirical cumulative distribution function (ECDF).Like what those skilled in the art understood, any method can be used to obtain standardized locomitivity data (as by standardized locomitivity data).
In step 114, standardized locomitivity data are used to produce a component level.This component level is included as the rank of each the locomitivity test result distribution that is included in the score-sheet.Score-sheet (for example, look-up table) comprises one group of locomitivity test result, perhaps their possibility.Each locomitivity test result in score-sheet is counted corresponding with the classification and/or the mark project of distribution.In one embodiment, classification locomitivity data also calculate the percentile of empirical cumulative distribution function (ECDF) for each value.So, the representative of the percentile of empirical cumulative distribution function is included in the special exercise aptitude tests result's in the score-sheet classification.In this, based on the percentile of this test result in the normal distribution of test result, each locomitivity test result is assigned with a branch progression.This classification (for example percentile) depends on original test result and is the function of data set size and key element test value.Be appreciated that score-sheet can comprise observed locomitivity test result and unobservable locomitivity test result.Classification corresponding to unobservable locomitivity test result can be with observed locomitivity test result data interpolation is distributed.
In step 116, confirm the mark project for each locomitivity test result and count.The special exercise aptitude tests result that is classified as based on corresponding distribution confirms or calculates the mark project to count.That is, classification or the percentile with this set of dispense converts suitable point scale into.In one embodiment, the statistics function, for example contrary Weibull transforms, and such conversion is provided.
In step 118, generate one or more score-sheets.As before mention that score-sheet (for example, look-up table) comprises one group of locomitivity test result, perhaps their possibility.Each locomitivity test result in score-sheet is counted corresponding with the classification and/or the mark project of distribution.In some cases, can generate the single score-sheet that comprises the data relevant with a plurality of tests and/or motion.Alternatively, can generate a plurality of score-sheets.For example, can be the test of each motion or each locomitivity and generate score-sheet.In the data storage of the database 212 of for example Figure 17, can store one or more score-sheets, or their part (for example, the classification of exercise test result, distribution, mark project are counted or the like).
As shown in the step 120, with reference to (for example, receive, obtain, fetch, discern or the like) locomitivity data relevant with special exercise person.That is the locomitivity test result of a plurality of different motion aptitude tests of reference.Can confirm this group exercise test in advance according to special exercise or other body movement.The locomitivity Test Design becomes to be used for assessing special exercise person's athletic constitution and/or slave, and the measurement locomitivity technical ability relevant with special exercise or body movement.
Can in the place of test event, measure and collect the locomitivity data of reference.Can pass through hand-held device (for example, the remote computer 216 of Figure 17) or other calculation element (for example, the Control Server 210 of Figure 17) is imported these data, to be recorded in the database (for example, the database 212 of Figure 17).So, can be in the data storage store data inside of the device (for example, the remote computer 216 of Figure 17 or Control Server 210) that receives input.Alternatively, can be in data storage store data inside away from the device that receives input.In this case, the device of reception data input is sent to remote data storage or relative treating apparatus with data.As just an example, the evaluator can be with the locomitivity data, and for example the locomitivity test result is imported hand-held device.After data were imported hand-held device, data can be sent to Control Server (for example, the Control Server 210 of Figure 17), to be stored in the database (for example, the database 212 of Figure 17).The data of collecting can show on hand-held device or by the long-range demonstration of hand-held device.
In step 122, identification is counted with the corresponding mark project of athletic each test result.Can use score-sheet to search or discern the mark project based on athletic locomitivity test result counts.In an embodiment, count through being converted into the mark project from the optimum of each test with reference to the test result that is used for the look-up table of each test.Although method 100 describe, in general terms the generation score-sheet; This score-sheet has with corresponding classification of each test result and mark project counts; Search the mark project and count to be used to specific locomitivity test result, but also can utilize other optional methods for test result identification or confirm that the mark project counts.For example, in some cases, receive athletic test result after, just can confirm that classification and/or mark project count.In this, can count with the mark project that calculates special exercise aptitude tests result by the executed in real time algorithm.As just an example, can special exercise person's locomitivity test result be compared with the distribution of the test result that is similar to this athletic exercise data, and can confirm the percentile classification of this test result.Then, can the percentile classification of this test result be converted into the mark project counts.
In step 124, merge or add up to the mark project of athletic each relevant test result to count to draw total point value score.That is,, calculate athletic total point value score with the addition of counting of the mark project of athletic each test result.In step 126, total point value score multiply by the project conversion coefficient and draws the grading of full movement quality.The grading scope of the quantity of the project of grading capable of using and/or the expectation conversion coefficient of identifying project.Can in the data storage of the database 212 of for example Figure 17, store the exercise data relevant with special exercise person, for example exercise test result, classification, mark project are counted, total point value, the grading of full movement quality or the like.
More than embodiments of the invention have been carried out concise and to the point description, an exemplary running environment that is applicable to the embodiment of embodiment of the present invention is below described.
With reference to Figure 17, an exemplary computingasystem environment, i.e. locomitivity information calculations system environments, totally with Reference numeral 200 diagrams and sign, embodiments of the invention can utilize this system to implement.Those of ordinary skills should know and be appreciated that illustrated locomitivity information calculations system environments 200 only is an example that is applicable to computing environment, but not are intended to any restriction as the scope of application of the present invention or performance.Locomitivity information calculations system environments 200 also should not be considered as has any dependence and demand to any discrete component that relates to element described herein or combination.
It is operation that the present invention can utilize many other computingasystem environment or configurations general or special-purpose.Well-known example applicable to the computing system that uses with the present invention, environment and/or configuration comprises; As just example, PC, server computer, hand-held or notebook computer equipment, multicomputer system, the system based on microprocessor, STB, programmable consumer electronics product, network PC, minicom, mainframe computer, comprise DCE of any above-mentioned any system or device or the like.
Can use the general calculation machine executable instruction of being carried out by computer, for example program module is described the present invention.Generally, program module includes, but not limited to conventional program, program, object, key element and carries out particular task or the data structure of execution particular summary data type.Also can be in DCE embodiment of the present invention, task is carried out through the teleprocessing device that connects via communication network in this environment.In DCE, program module can combine to be positioned with this locality and/or remote computer storage medium, and this computer-readable storage medium comprises, as just an example, memory storage apparatus.
Continuation is with reference to Figure 17, and exemplary locomitivity information calculations system environments 200 comprises the general-purpose computations device of Control Server 210 forms.The element of Control Server 210 comprises; And be not limited to; Processing unit, built-in system memory and be used for various system elements comprise data-base cluster (database cluster) 212, the suitable system bus that is connected with Control Server 210 (system bus).System bus can be any in any various types of bus structures that adopt in the various bus structures, and it comprises memory bus or memory controller, peripheral bus and local bus.Such structure comprises; As an example; But be not limited to; ISA(Industry Standard Architecture) bus, MCA (MCA) bus, expansion ISA (EISA) bus, VESA's (VESA) local bus and peripheral element extension interface (PCI) bus are also referred to as mezzanine bus (Mezzanine bus).
Control Server 210 typically comprises therein, maybe can visit, and various computer-readable mediums, for example data-base cluster 212.Computer-readable medium can be to comprise volatibility and non-volatile medium by any usable medium of server 210 visit, also has movably and immovable medium.As an example, but be not limited to, computer-readable medium can comprise computer-readable storage medium.Computer-readable storage medium can comprise; But be not limited to; Volatibility and non-volatile medium; Also have movably and immovable medium, these media carry out stored information with any method and technology, and this stored information is perhaps other data of computer-readable instruction, data structure, program module for example.In this; Computer-readable storage medium can comprise; But be not limited to; RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital multi disk (DVD) or other disk storage, tape, cassette tape, tape, magnetic disc store or other magnetic storage device, perhaps can be used to store information needed also can be by other any medium of Control Server 210 visits.As an example, but be not limited to, communication media comprises wired media, for example cable network or directly wiring connection, and wireless medium, for example sound wave, RF, infrared ray and other wireless mediums.Any above-mentioned combination also can be included in the scope of computer-readable medium.
Above-mentioned and in Figure 17, the set forth computer-readable storage medium that comprises data-base cluster 212 provides computer-readable instruction, data structure, program module and other to be used for the storage of the data of Control Server 210.The logic of Control Server 210 capable of using and one or more remote computers 216 is connected operation in the computer network 214.Remote computer 216 can be arranged in a plurality of positions of training or ability force environment.Remote computer 216 can be hand-held computing device, PC, server, router, network PC, peer, other common network node or the like, and can comprise the element that some or all of above-mentioned and Control Server 210 are relevant.This device can be personal digital assistant or other similar device.
Exemplary computer network 214 can include, but not limited to Local Area Network and/or wide area network (WAN).These network environments are the common environment of office, enterprise-wide computing, Intranet and internet.When Control Server 210 used in the WAN network environment, it can comprise modem or be used on WAN, setting up other devices of communication, like the internet.In network environment, program module or its part can with Control Server 210, data-base cluster 212 or any remote computer 216 association store.For example, but be not limited to, different application can place the memory relevant with any one or a plurality of remote computer 216.Those of ordinary skills can understand, and it is exemplary that shown network connects, and other the device that between computer (for example Control Server 210 and remote computer 216), establishes a communications link also can be employed.
During operation; Locomitivity evaluator (for example train, recruit personnel etc.); Can be in Control Server 210 input command and information or utilize input unit to transmit an order and information to Control Server 210 through one or more remote computers 216, this input unit for example is keyboard, pointing device (being often referred to mouse), trace ball or touch pad.Other input units can include, but not limited to microphone, satellite dish or scanner etc.Order and information also can directly be sent to the Control Server 210 from the locomitivity device.Except monitor, Control Server 210 and/or remote computer 216 also can comprise other peripheral output devices, like loudspeaker and printer.
Although many other inner members of Control Server 210 and remote computer 216 do not show that those of ordinary skills will recognize that these elements and its annexation are known.Therefore, further open here about the additional detail of the internal structure of Control Server 210 and remote computer 216.
In other embodiments, can carry out different tests and confirm the athletic constitution of sportsman for special exercise.For example, throw in the softball fast, this method can make the sportsman of test participate in four discontinuous tests, and this test can be used for confirming the full movement quality of women for this motion.Particularly, locomitivity test can comprise and measures athletic vertical spring, measures and accomplish the sensitive total time that comes and goes, measure the spurt of sportsman's 20 code distances and take time and measure the distance of rotation delivery (rotational powerball throw) energetically.
Vertical spring is to be similar to above-mentioned spring original place far away not have run-up and vertically bounce.Making a dash for 20 yards is the timing spurt.
Sensitive coming and going is the 5-10-5 sensitivity test.3 circular cones (line or other obstacles) place on the straight line with the distance at five yards at interval.Circular cone in the middle of the sportsman starts from, it touches circular cone with a hand simultaneously.The sportsman just begun not allow towards or in the circular cone of outside any one.After moving, the sportsman with the rightabout circular cone spurt to the outside of the hand that begins to touch circular cone.The sportsman touches circular cone, reverse directions and the spurt of the circular cone outside another of outside.In case touch this circular cone, the sportsman changes direction and spurt process center cone once more.The time of measuring starts from the sportsman and removes her hand from center cone, and ends at the sportsman and ran center cone.
The available three kilograms ball of rotation delivery carries out energetically.When the sportsman begins to be similar to the attitude and the start line standing upright of batting in the softball.The sportsman can step down on the start line or touch start line, but can not stride across this line.Ball is placed in two hands, and at the back side of ball, forehand is below ball in wherein athletic backhand (towards the palm of start line).Ball is regained and ball is remained between athletic waist and the chest.Athletic arm must stretch out fully, only has a bit crooked at the elbow place.During motion, the health that the sportsman rotates her to throw away forward (sing) ball, best, carries out with the 45 degree.Bat swing in this motion mimics softball.The sportsman stretches out with her arm and finishes.The sportsman can accomplish the circular motion after the batting, but her pin just can be stretched this line after ball discharges.Measure the distance that ball is advanced.
Obtain exercise data according to being similar to the method for collecting the basketball test data.For example, can import data to hand-held computing device.Twice test carried out in each test, the grading that optimum is used to be described below and sets forth.
The optimum of each test is through being converted into the mark access points with reference to the test result in score (consulting) table.Exemplary look-up table is shown among Figure 18, and this table is each providing capability grading of a series of tests of women sport person.Be similar to the table (Figure 10) that is used for basketball; This look-up table can be confirmed through measurement and record standard test data in hundreds of or thousands of sportsmen; And classify through testing, set up percentile classification and threshold value with the mapping ability scope with for each test value that observes at sportsman's test period.Likewise, as stated, the classification of processing into form can and convert point value to the statistics function by score, think each fc-specific test FC (promptly vertical spring, sensitively come and go, 20 yards make a dash and rotate delivery energetically) set up the look-up table of each score.
Figure 19 provides the example of the data of collecting.Measuring unit among Figure 19 is following:
VJ=vertically bounce (inch); Sensitive round (second); Make a dash (second) for 20 yards; RoPB deliver (foot).At first, the optimum of each test is through converting the mark access points to reference to score (consulting) table.
Fully as stated, in Figure 20, the classification of distributing to each test can come from the standardized data of being classified and changing into its eCDF function percentile.In case normal data is collected and classifies like preceding detailed description, its eCDF is disperseed to draw, with the display capabilities curve.For example, vertical spring data such as the blue rhombus observed 1343 girls of sports ground is shown among Figure 21.For unobserved those results, the classification of this value distributes through insertion; Need to distribute the unobservable of classification in Figure 21, to represent with yellow triangle.Maximum and bottom line value are set up as stated.
Equally as stated, the statistics function is used in each classification, and promptly contrary Weibull transforms, and changes into the mark access points.The score curve of the access points of vertical spring representes with red circle that in Figure 21 wherein this point is represented with percentage,, throws softball soon for girl that is, and 0.50 point is given in the jump of 19.1 inches the 61st percentile, is expressed as 50%.General, the mark access points is this W-score.Be similar to the basketball curve, contrary Weibull transforms abnormal (crooked) distribution of ability processing test data, and considers the progression score, and to stress outstanding ability, this ability gets rising to of component curve with the W-between 26 inches and 27 inches and describes.Referring to Figure 19, sample sportsman " AVE MAROA Gearhart (Mariah Gearhart) " has jumped 24.6 inches during the vertical spring of no run-up.This value is corresponding to W-score 1.023 (Figure 20).The W-score of her all tests can find through the look-up table separately with reference to these tests.These W-scores are shown among Figure 22.
In order to realize converting, for sample sportsman AVE MAROA Gearhart (Mariah Gearhart), to each grading test variable add with the mark access points to obtain athletic total W-score 3.528, shown in figure 22.This total multiply by the project conversion coefficient and generates grading.To girl's quick throwing grading, for example, conversion coefficient is 30, so the grading of the full movement quality of AVE MAROA Gearhart is 105.84 (=or 3.528 * 30).
Should " project conversion coefficient " come to confirm for each grading through the quantity of the project of grading and the grading scope of expectation.Grading should totally drop in 10 to 110 the scope.If women sport person " reaches the upper limit " in all four tests (shown in Figure 23), her total w-score will produce the grading of about 157.44 (perhaps 5.248 * 30) so.In one embodiment, can force maximum (for example 120) with restriction comprehensive score of the person of departing from (extreme outliers) extremely.
In another embodiment, can carry out different tests to confirm football player's athletic constitution.Particularly, the locomitivity test can comprise that the sensitive total time that comes and goes, kneeling position toss are energetically accomplished in the athletic vertical spring of measurement, measurement, athletic 40 code distances of measurement are made a spurt, and institute takes time and peak power vertically bounces.Preceding text have been described sensitive come and go, and make a dash for 40 yards to be similar to above-described 20 yards and to make a dash.Kneeling position toss is energetically carried out through the ball that lifts 3kg weight with kneeling position from the front.This action is similar to the two hand snap pass in the basketball, just go down on one's knees simultaneously and with regulation along the sphere path curve of the above 30-40 degree of level to obtain ultimate range.Peak power vertically bounces and measures lower part of the body peak power and the adding weight that combines with vertical line.In specific embodiment, utilize touch pads (contact mat) to confirm the vertical height of spring.The peak power vertical checkout can add weight for the initial project result through many modes.In other embodiments, can use vertical jumping separately.In the example of a peak power vertical checkout that adds weight, the available following equality of the project result of peak power:
Peak power (watt)=[60.7 * vertical jump (cm)]+[45.3 * weight (kg)]-2055
In the embodiment of football, use above-mentioned system and method result.The present invention describes with specific embodiment, and it is intended to explain all associated exemplary, rather than restriction.To those skilled in the art, the embodiment that does not break away from protection scope of the present invention is conspicuous.
Can find out that by above-mentioned the present invention is very suitable for obtaining all above-mentioned purpose and targets, and this method and system significantly reaches other intrinsic advantages.Will be understood that combination is useful and can use with the son combination with reference to other characteristics some characteristic with son.This is expected and in the scope of claims by claims.

Claims (20)

1. the one or more computer-readable storage mediums that contain computer executable instructions; Be used for carrying out the method that the athletic athletic constitution in the motion is confirmed in assessment in computing environment; It is characterized in that said method comprises: receive athletic at least two capability result at least two different locomitivity tests relevant with confirming motion; Among said at least two results each is compared with corresponding distribution with the test result similar athletic exercise data of this sportsman, and confirm the percentile classification among said at least two results each; The mark project that each percentile classification among said at least two results is converted into each result is counted; And to combine said mark project to count and use conversion coefficient be that sportsman in said definite motion generates athletic constitution grading score.
2. one or more computer-readable storage mediums according to claim 1 is characterized in that, the percentile classification of each among said at least two results is progression.
3. one or more computer-readable storage mediums according to claim 2 is characterized in that, said percentile classification with at least two results is converted into said mark project and counts to comprise and use contrary Weibull and transform.
4. one or more computer-readable storage mediums according to claim 1 is characterized in that, the distribution of the test result of said and the similar athletic exercise data of this sportsman utilizes empirical cumulative distribution function to confirm.
5. one or more computer-readable storage mediums according to claim 1 is characterized in that, are limited to the maximum value in the percentile classification of each among said at least two results.
6. one or more computer-readable storage mediums according to claim 1 is characterized in that, are limited to the bottom line value under the percentile classification of each among said at least two results.
7. one or more computer-readable storage mediums according to claim 1; It is characterized in that; Said definite motion is a basketball, and said at least two locomitivities test comprises vertically bounces helpless race highly test of altitude touch is jumped in test, run-up, the time test and testing circulation timei of making a spurt.
8. one or more computer-readable storage mediums according to claim 1 is characterized in that, the said and test result similar athletic exercise data of this sportsman comprises from other athletic data of homogeny.
9. one or more computer-readable storage mediums according to claim 8 is characterized in that, the said and test result similar athletic exercise data of this sportsman comprises from the athletic data in the range of age that comprises this sportsman age.
10. the method for the athletic athletic constitution during an assessment is confirmed to move is characterized in that this method comprises: the athletic ability of measurement at least two the different locomitivity tests relevant with confirming motion, to confirm the result of each aptitude tests; The result of each aptitude tests is compared with distribution with the test result of the similar athletic exercise data of this sportsman, and confirm the percentile classification for each result of aptitude tests; The mark project that each percentile classification is converted into each result is counted; Counting and utilize conversion coefficient in conjunction with said mark project is to confirm that the sportsman in the motion generates athletic constitution grading score.
11. method according to claim 10 is characterized in that, each result's of said aptitude tests percentile classification is progression.
12. method according to claim 11 is characterized in that, each result's of said aptitude tests percentile classification is limited between bottom line value and the maximum value.
13. method according to claim 11 is characterized in that, measures athletic ability and comprises: measure the vertical jumping height of said athletic no run-up; Measure said athletic run-up and jump the altitude touch height; Measure the spurt time of said sportsman through preset distance; And measure the circulation timei of said sportsman around projected route.
14. method according to claim 13 is characterized in that, measures athletic ability and comprises: measure said athletic body weight; And calculate peak power with the altimeter of the vertical spring of said no run-up based on the body weight of said measurement.
15. method according to claim 11 is characterized in that, the said and test result similar athletic exercise data of this sportsman comprises from other athletic data of homogeny.
16. method according to claim 15 is characterized in that, the said and test result similar athletic exercise data of this sportsman comprises from the athletic data in the range of age that comprises this sportsman age.
17. method according to claim 11 is characterized in that, said definite motion is a softball, measures athletic ability and comprises: measure said athletic vertical spring; Measure the circulation timei of said sportsman in projected route; Measure the spurt time of said sportsman through projected route; And the measurement sportsman rotates the distance of delivery energetically.
18. method according to claim 11 is characterized in that, said definite motion is a football, measures athletic ability and comprises: measure said athletic vertical spring; Measure the circulation timei of said sportsman in projected route; Measure the spurt time of said sportsman through projected route; And measure sportsman's kneeling position distance of toss energetically.
19. the method for the athletic athletic constitution in the motion is confirmed in an assessment, it is characterized in that this method comprises: reference and the corresponding first locomitivity test result of sportsman and the second locomitivity test result confirmed in the motion; Utilize the said first locomitivity test result to confirm that the first mark project counts and utilize the second locomitivity test result to confirm that the second mark project counts, wherein utilize to comprise that score-sheet that a plurality of test results and corresponding mark project are counted discerns the said first and second mark projects and count; The first mark project counted, and the addition of counting obtains confirming the athletic total point value in the motion with the second mark project; And the project conversion coefficient of utilization total point value that converts, generate the grading of full movement quality for confirming the sportsman in the motion.
20. method according to claim 19 is characterized in that, said mark access points base obtains in the corresponding test result that is classified as of distributing.
CN2011800012465A 2009-01-29 2010-01-29 A kind of locomitivity rating system Pending CN102333574A (en)

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