主办单位:成都体育学院
ISSN 1001-9154 CN 51-1097/G8

Journal of Chengdu Sport University ›› 2018, Vol. 44 ›› Issue (4): 75-81.doi: 10.15942/j.jcsu.2018.04.012

• PHYSICAL EDUCATION AND TRAINING· SPECIAL CONTRIBUTIONS ON COMPETITIVE SPORTS • Previous Articles     Next Articles

Gray Relational Analysis on the Effect of Biomechanical Factors of Lower Extremity on Female Basketball Players' Jump Height

LIU Haitao1,2,JIANG Dalei3,LI Haiwei4,GAO Weiwei2   

  1. 1. Henan University,Xinxiang Hennan 475001;
    2 Beijing Sport University,Beijing 100084.;
    3.Henan Normal University,Xinxiang Henan 453007;
    4.Shanxi Normal University,Linfen Shanxi 041000
  • Received:2017-12-06 Revised:2018-01-17 Online:2018-07-15 Published:2018-07-20

Abstract: Objective: To find the key biomechanical factors affecting jump height by testing the biomechanical indicators of lower extremity of female basketball players in stop-jump tasks. Methods: 17 female collegiate basketball players were recruited from competitive sports institute of Beijing Sports University. Lower extremity kinematic and kinetic data of the joints of low extremity were collected simultaneously using 3-D Motion Analysis Raptor-4 system and Kistler force plate when participants executed stop-jump tasks. Gray relational analysis was used to identify the relationships between biomechanical indicators and jump height in female basketball players. Results: the effect of biomechanical factors on jump height are ranked as follows: center of gravity peak vertical velocity>hip peak angular velocity>knee peak angular velocity>takeoff time>ankle peak angular velocity> peak vertical takeoff force. Conclusions: (1) Among the factors influencing jump height, center of gravity peak vertical velocity is the primary factor. (2) Hip angular velocity has a strong effect on jump height than knee angular velocity and ankle angular velocity. (3)Peak vertical takeoff force is necessary but not sufficient for jump height.

Key words: female basketball players, jump height, biomechanical factors, gray relational analysis

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