Vision-Based Upper Extremity Kinematic Analysis of Badminton Smash Hit
General Material Designation
[Thesis]
First Statement of Responsibility
Yang, Xiang
Subsequent Statement of Responsibility
Chan, Cho L.
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The University of Arizona
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
108 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Body granting the degree
The University of Arizona
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
Badminton is one of the fastest sports in the world. Athletes' body rotations introduce a lot more complexities for studying badminton. The goal of this work is to develop a series of analysis including designing MATLAB programs and acquire kinematics data of badminton sport to help badminton players improve their skills. To validate these analyses are consistent with what badminton coaches teach athletes, interviews are conducted with coaches at the collegiate level to set commonly agreed "coaching points". A full body marker setup is applied to this study while the markers are hand-made to reduce the weight and improve accuracy. 6 badminton players in different skill levels are brought in for data collecting. Subjects are asked to perform a smash motion as a return of a high and long badminton serving. Smashing data was captured by an eight-camera Vicon Motion Capture System (Nexus 1.8.5), and one video camera. Analyses were programmed by MATLAB to examine coaching points: speed and acceleration of shuttlecock and racket, contact point on racket net surface, coefficient of momentum transfer, coefficient of restitution, the angle between racket surface direction, racket moving direction, and angular velocity contributions from body parts. The results indicate the experiments and analysis are successful. Most of the "coaching points" are proved by comparing kinematic quantities from players. These kinematic quantities can be applied as indicators to show the skill level of a player. With further development of this research, the coaching system can provide a series of dynamic analysis and lively visualized feedback to the athlete.