Deaf-Mute Students Physical Health Development Strategy Research in the Perspective of Education Fair Equalization

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1 Send Orders for Rerints to 1640 The Oen Cybernetis & Systemis Journal, 015, 9, Oen Aess Deaf-Mute Students Physial Health Develoment Strategy Researh in the Persetive of Eduation Fair Equalization Xiangyang Zhang and Shaohua Yu * Liaoning University, Shenyang, Liaoning, China Abstrat: Fous on disabled eole health, imrove the disabled soial osition is another slogan that China has ut forward in disabled eole wor asets in reent years. As soial vulnerable grous, deaf-mute students have attrated more and more attentions in reent years, their hysial health beomes more and more imortant for deaf-mute students eduation. The aer is established in deaf-mute students body basi quality, hysial health standards and deaf-mute students hysial exerises hobbies, maes onrete analysis of them. Firstly, utilize normality test and disriminant analysis methods to researh deaf-mute students hysial test omletion all inds of indiators, and then define their hysial health standards. Seondly, on this basis, utilizes numerial analysis method, it analyzes deaf-mute students hysial exerises liability and gender differenes, and finally gets onlusions: when arrying out sorts test, it should onsider deaf-mute students hysique and normal students differenes, and ombine with different genders deaf-mute students hysial quality, formulate different hysial health standards. In hysial exerises two asets, deaf-mute students enthusiasm is obviously lower than normal students, and shoolgirl s referene extent on hysial exerises is lower. Keywords: Deaf-mute students, disriminant analysis, gender differene, normality test, hysial health, vulnerable grous. 1. INTRODUCTION In reent years, disabled eole grou has attrated more attentions from eole in all wals of life, and it has already founded all inds of organizations to hel disabled eole grou to live, disabled ersons foundation, disabled ersons syhologial ounseling room, Paralymi Games and others, all are by far aring disabled eole series ativities of the biggest onerns [1]. Cheng Ming-Ji and others in the artile Deaf-mute eole hysial test indiators riterion orrelation degree researh too deaf-mute eole hysial monitoring indiators as main researh diretions, researhed on every indiator and its orrelation degree sizes []. The aer by statistial disabled eole hysial test every item data, made omarative analysis with normal eole indiators, utilized orrelation degree method to analyze data features, and finally got onlusions. The aer ointed out: Deaf-mute eole hysial monitoring all inds of indiators were obviously different from normal eole, all inds of indiators and deaf-mute eole hysial health were losely lined, the orrelation degree sizes and normal eole also had signifiant differenes, when analyzing deaf-mute eole hysique, it should fully onsider deaf-mute eole hysique [3]. Wang Ming-Yuan in the artile Hearing disabled students hysial health test surrogate marers researh, too hearing disabled students as main researh objets, in the ersetive of hearing disabled students, researhed on disabled students hysial health test surrogate marers. The X/15 aer referened formers researh results, ombined with its own researh orientations, got onlusions: in hearing disabled students hysial health test indiators, many indiators ould be relaed as other hanges signifiant indiators, as the item of hysial health, it ould be relaed into height, weight, lung aaity, heart rate and so on, so that more onrete and intuitional researhed hearing disabled students hysial health, and meanwhile it also rovided orientations for disabled students hysial health researh [4]. Lu Xiu-Yun in the artile Shanghai ity adolesent hysial health monitoring management mode exloratory study, too Shanghai ity adolesent as an examle, researhed on his hysial health monitoring management mode [5]. The aer summarized formers researh results, and arried out exloratory researh on adolesent monitoring management mode. The aer ointed out that adolesent hysial health detetion was very imortant for adolesent sound growth, its management should brea through traditional mode, base on ratial status, innovate management mode [6]. The aer utilizes mathematial methods, in the ersetive of sorts ativities, maes quantitative analysis of deafmute students hysial health, researhes from multile ersetives, defines deaf-mute eole hysial health standards to rovide orientations and theoretial base for China deaf-mute eole grou hysial health researh.. NORMALITY TEST-BASED DEAF-MUTE STU- DENTS PHYSICAL BASIC QUALITY Aording to disabled lassifiation standards, it an divide disabled students into following tyes: vision 015 Bentham Oen

2 Deaf-Mute Students Physial Health Develoment Strategy Researh The Oen Cybernetis & Systemis Journal, 015, Volume disability, the hearing disability, seeh disability, hysial disabilities. In general, disabled students hysial quality and health students also have great differenes, therefore when imlementing all asets ativities; it should onsider their hysial quality (Fig. 1). Fig. (1). The lassifiation of disabled students. Above Fig. (1) is disabled students lassifiation, from whih aording to different arts disabled extents, it divides into four main inds. Now by statistial analysis, numerial analysis and disriminant analysis method, mae researhes on deaf-mute tye students hysial health standards so that rovide theoretial basis for deaf-mute students eduation wors..1. Normality Test Thought Normality test is firstly through hyothesis test alulation, and then generating normal robability grah, and then observing test value onforms to normal distribution or not. Normality test hyothesis is H 0 : data onforms to normal distribution, H 1 : Data doesn t onform to normal distribution. Hyothesis testing: It is maing statistis of inferred another tye of imortant roblems. In ase that overall distribution funtion is unnown or only now its forms but don t now its arameters, to infer its overall some features, and then ut forward one hyothesis. Single totality N( μ, ) average value μ testing: Bilateral testing: H0 : μ = μ0, H1: μ μ0; Right testing: H0 : μ μ0, H1: μ > μ0; Left testing: H0 : μ μ0, H1: μ < μ0 Distribution fit testing: When it annot foresee totality onforms whih inds of distribution, it needs to test distribution hyothesis aording to samles. Among them, it inludes: test method: H 0 : Totality x distribution funtion is F( x ), H 1 : Totality x distribution funtion is not F( x ) Its basi thought is: It may divide totality into iees of inomatible events: A, A, A,, A,( A =, i j,1,,3,, ) 1 3 i= 1 Then in hyothesis H 0, it an alulate i = P( Ai)( i = P( Ai)), i = 1,,,. In n times of exeriments, event A i ourrene frequeny fi / n i( i) have ertain differenes. But if H 0 is true, when exeriments times are quite a lot, suh differenes will not be very big. For: ( fi ni) ( fi n i) = ( = n n i= 1 i i= 1 As hyothesis testing statistial quantity, it roves following theorem: If n is big enough, then when H 0 is true, above statistial quantity always aroximately onforms to freedom degree as r 1 distribution, from whih r is number of estimated arameters. Then on the ondition of hyothesis H 0, it an get: ( r 1) it. Then in signifiant level, refuse H 0, otherwise aet.. Data Integration By deaf-mute students hysial quality every aset anowledge, onsult relative information, and ombine with a great deal of researh results, voluntarily draw following about deaf-mute students hysial monitoring data Table 1. By above roess, analyze Table 1 data, it an get following result Tables and 3. Mae omarison of shoolboys and shoolgirls average value X, it an get following Fig. (). i Table 1. Deaf-mute students hysial test omletion all inds of indiators. Caaity Ste Test Sit and Reah Gri Vertial Jum Push-u (Men) Sit-u (Women) Closed One Leg Standing Seletion Reation Time Comletion rate%

3 164 The Oen Cybernetis & Systemis Journal, 015, Volume 9 Zhang and Yu Table. Test result (Men). Caaity Sit and Reah Gri Standing Long Jum Push-u Seletion Closed One Reation Time Leg Standing X S D Table 3. Test result (women). Caaity Sit and Reah Gri Standing Long Jum 1min Sit-u Seletion Reation Time Closed One Leg Standing X S D Fig. (). The omarison of different gender X. Fig. (3). The omarison of different gender S. Fig. (4). The omarison of different gender D. Mae omarison of shoolboys and shoolgirls average value S, it an get following Fig. (3). Mae omarison of shoolboys and shoolgirls average value D, it an get following Fig. (4). From above statistial test result, it an get onlusions: for deaf-mute students, their hysiques have great differenes. When doing lung aaity, sit and reah, gri and other hysial testing, their erformanes have obvious differenes. Therefore, when formulating hysial riterions,

4 Deaf-Mute Students Physial Health Develoment Strategy Researh The Oen Cybernetis & Systemis Journal, 015, Volume Fig. (5). The deaf students' ability to adat to the soiety. it also should aording to their hysiques differenes, and resetive regulate. 3. DISCRIMINANT ANALYSIS METHOD-BASED DEAF-MUTE STUDENTS PHYSICAL HEALTH STANDARDS RESEARCH Deaf-mute eole are vulnerable grou in soiety, their soial ositions often lower than normal ones, and are often ridiuled by many eole, even suffer disrimination. Due to deaf-mute eole hysial defets, their soial adatabilities are also different. Below Fig. (5) is Chinese deaf-mute students soial adatabilities extents refletion. By above statistial figure, it is lear that deaf-mute students with good soial adatabilities are only small arts of grou, most art of deaf-mute students and soial adatabilities are very bad. Therefore, researh on deaf-mute students hysial health, and then mae ontributions to romote their soial adatabilities Guiding Thought Disriminant analysis is a ind of multile statistial analysis method; it refers to observe on nown evaluation indiators and aording to observed data to mae lassifiation on evaluation objets. Disriminant analysis general stes are as following Fig. (6). Fig. (6). The disriminant analysis ste. Disriminant analysis refers to arry out disriminant analysis of historial data, and further establish disriminant funtion, and mae lassifiation of observed data. Here, utilize Bayes disriminant analysis to arry out standard researh on deaf-mute students hysial health develoment. 3.. Establish Disriminant Analysis Model Bayes disriminant analysis is a ind of method that analyzes two lasses or multile lasses data; here deafmute students hysial health develoment should aord to their genders and hysial exerise items to mae analysis, so use Bayes disriminant analysis is most suitable. Under Bayes disriminant analysis disrimination riterion, established lassifiation funtion form is: y1 = x1 + 1x + 31x x y = 0 + 1x1 + x + 3x3 + + x y3 = x1 + 3x + 33x x yn = 0n + 1 nx1 + nx + 3nx3 + + nx That is to establish regarding observed indiators and observed objets linear funtion equations, every equation orresonds to a lass disriminant riterion, from whih 0 j, 1 j,, j, j = 1,,, n is estimated arameter. After establishing disriminant funtions, inut one disriminant orresondingly eah arameter value into above disriminant arameter, and then it an now whih lass the objet belongs to. Aording to above data, mae data roessing, and establish Bayes disriminant analysis lassifiation funtion equation set, so that define deaf-mute students hysial health standard Establish Bayes Disriminant Analysis Classifiation Funtion Utilize SPSS software to analyze above Tables 3 and 4 data, and then it an get following lassifiation funtion regarding deaf-mute students hysial health standards: yboy = 0.48x x x x x x x x x (1) ygirl = 0.353x x x x x x x x x () Imroved Bayes Disriminant Analysis Classifiation Funtion In order to imrove disrimination auray, firstly add one item as rior robability, it maes imrovements on above Bayes disriminant analysis lassifiation funtion equations. Prior robability an roerly imrove

5 1644 The Oen Cybernetis & Systemis Journal, 015, Volume 9 Zhang and Yu Table 4. Physial health standard (men). Caaity Sit and Reah Gri Standing Long Jum Push-u Seletion Closed One Reation Time Leg Standing Standard Table 5. Physial health standard (women). aaity Sit and reah Gri Standing long jum 1min sit-u Seletion reation time Closed one leg standing Standard Table 6. Comarison of deaf-mute students liability on hysial exerises. Seial Liing Prefer General Didn t Lie Very Annoying Proortion% 1.13%.8% 19.7% 8.45% 47.89% disrimination auray, its defined riterion is aording to lots of douments reorts or revious a great deal of samles researhes. On the basis of rior robability, Bayes disriminant analysis lassifiation funtion is onverted into following form: y1 = x1 + 1x + 31x x y1)) y = 0 + 1x1 + x + 3x3 + + x y)) y3 = x1 + 3x + 33x x y3)) yn = 0n + 1 nx1 + nx + 3nx3 + + nx yn)) Aording to above deaf-mute students hysial health standards status, it an define deaf-mute students hysial health standards riority robabilities are resetively qy ( boy ) = 0.55, qy ( girl ) = On the basis of onsidering rior robabilities, it an further get about deaf-mute students hysial health standards Bayes lassifiation funtion as following: yboy = 0.48x x x x x x x x x ln(0.55) ygirl = 0.353x x x x x x x x x ln(0.45) That: yboy = 0.48x x x x 0.061x + 0.5x x x x ygirl = 0.353x x x x x x x x x Define lassifiation standards: By deaf-mute students hysique researhes, ombine with above analysis, it an get deaf-mute eole hysial health all inds of standards as following Tables 4 and 5. Above data is different genders deaf-mute students hysial health standard. By the standard, it is lear that when arrying out different items hysique testing; it should onsider deaf-mute students hysial health. With reset to this, to researh on deaf-mute students differenes in hysial exerises, now arry out following statistial analysis. 4. DEAF-MUTE STUDENTS PHYSICAL EXERCISE HOBBIES ANALYSIS 4.1. Deaf-Mute Students Liability on Physial Exerises Though deaf-mute students are soial vulnerable grous, their hysial quality, syhologial quality are inferior to normal students, but to sorts assion, they are not inferior to normal students. Below Table 6 and Fig. (7) are Chinese deaf-mute students liability to hysial exerise, mae numerial analysis of them, and analyze results. Fig. (7). The deaf students love the degree of hysial exerise. By above analysis, it an get onlusions: Chinese deafmute students suffer hysial quality influenes, their enthusiasm on hysial exerises is not high, 47.89% deafmute students are very annoying with hysial exerises, whih also has lose relations with their syhologial health to ertain extent.

6 Deaf-Mute Students Physial Health Develoment Strategy Researh The Oen Cybernetis & Systemis Journal, 015, Volume Fig. (8). Deaf students for hysial exerise love degree of gender differenes. Table 7. Deaf-mute students gender differenes in hysial exerises liability. Unit% Seial Liing Prefer General Didn t Lie Very Annoying Shoolboys 6% 51.35% 18.9% 5.41%.70% Shoolgirls 0.59% 44.1% 0.59% 11.76%.94% 4.. Deaf-Mute Students Gender Differenes in Physial Exerises Deaf-mute students, exet for having differenes from normal students in hysial exerises, they also have obvious gender differenes. Shoolboys syhologial quality is better than shoolgirls, therefore their fondness on hysial exerise is higher, and shoolgirls syhologial enduring aaity is lower, they don t lie artiiating in hysial exerises tye olletive ativities very muh (Fig. 8). By above Table 7 and Fig. (8) analysis, it an get onlusions: in deaf-mute students shoolboys, 6% students lie hysial exerises very muh, and shoolgirls are only 0.59%, 44.1% shoolgirls just refer to sorts ativities. It mainly beause deaf-mute shoolgirls are with more inferiority omlex and don t lie olletive ativities. CONCLUSION The aer starts from deaf-mute students hysial basi quality and hysial health standard as well as deaf-mute students hysial exerise hobbies, maes researh on deafmute students. Firstly, utilize normality test methods, analyze deaf-mute students hysial test omletion all inds of indiators, and then get onlusions: deaf-mute students hysique omares to normal students, they have great differenes, and genders differenes are remarable, when taing sorts test, it should resetive arry out with different hysial standards. Seondly, the aer utilizes numerial analysis and disriminant analysis method, first researhes deaf-mute students hysial health standards, and on this basis, analyzes deaf-mute students liability on sorts, and then gets onlusions: when arrying out different events hysial tests, different genders deaf-mute students hysial health standards are different. Suffering hysial quality influenes, deaf-mute students enthusiasm on hysial exerises is not high, most of deaf-mute students are very annoying with hysial exerises, and gender differene is rominent, shoolboys referene on hysial exerises are higher while shoolgirls are lower. CONFLICT OF INTEREST The authors onfirm that this artile ontent has no onflit of interest. ACKNOWLEDGEMENTS Delared none. REFERENCES [1] L. Yin, and H. Cai-hua, Influene of sorts self-onet and selfeffiay on sorts ratie of university students, J. Sorts. Ad. Edu., vol. 7, no. 6,. 3-35, 011. [] L. Jian-qiang, Comarative researh on differene between body shae and funtion and hysial fitness of ollege students for different body-mass index level, J. Pla Inst. Phys. Edu., vol. 30, no. 1, , 011. [3] L. Hao, L. Lei, L. Li-ing, L.V. Xiao-mei, and Y. Ling-wei, The analysis and researh of the omrehensive intervention measures on over-weight or obesity middle-aged grous in hebei rovine, J. Hebei Inst. Phys. Edu., vol., no. 6, 008. [4] N. Jian-li, Study of transformation of ollege students' exerise methods, Bull. Sort Si. Tehnol., vol. 1, no. 4, , 90, 013. [5] S. Dongzhe, and Y. Guang, Study on hysial harateristis and influening fators of fat students with differene hysial exerise, J. Hubei Sorts Si., vol. 3, no. 3, , 013. [6] Y. Qiu-bo, and X. Hai-xiao, Researh on the differenes of sare time exerise behavior between two different body weight students, Zhejiang Sort. Si., vol. 35, no. 5, 013. Reeived: June 10, 015 Revised: July 9, 015 Aeted: August 15, 015 Zhang and Yu; Liensee Bentham Oen. This is an oen aess artile liensed under the terms of the (htts://reativeommons.org/lienses/by/4.0/legalode), whih ermits unrestrited, nonommerial use, distribution and rerodution in any medium, rovided the wor is roerly ited.