Journal of Sports Science and Medicine
Journal of Sports Science and Medicine
ISSN: 1303 - 2968   
Ios-APP Journal of Sports Science and Medicine
Androit-APP Journal of Sports Science and Medicine
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©Journal of Sports Science and Medicine (2011) 10, 528 - 533

Research article
Evaluating A Computer Based Skills Acquisition Trainer To Classify Badminton Players
Minh Vu Huynh , Anthony Bedford
Author Information
RMIT University, Melbourne, Australia

Minh Vu Huynh
✉ RMIT University, Melbourne, Australia.
Email: minh.huynh@rmit.edu.au
Publish Date
Received: 31-03-2011
Accepted: 14-07-2011
Published (online): 01-09-2011
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ABSTRACT

The aim of the present study was to compare the statistical ability of both neural networks and discriminant function analysis on the newly developed SATB program. Using these statistical tools, we identified the accuracy of the SATB in classifying badminton players into different skill level groups. Forty-one participants, classified as advanced, intermediate, or beginner skilled level, participated in this study. Results indicated neural networks are more effective in predicting group membership, and displayed higher predictive validity when compared to discriminant analysis. Using these outcomes, in conjunction with the physiological and biomechanical variables of the participants, we assessed the authenticity and accuracy of the SATB and commented on the overall effectiveness of the visual based training approach to training badminton athletes.

Key words: Skills acquisition, badminton, neural networks, discriminant analysis


           Key Points
  • Neural networks are more effective in predicting group membership and displayed higher predictive validity when compared to discriminant analysis.
  • These results provide implications for coaches and trainers of badminton to implement visual based training methods into their own training program.
  • Predicting shot type was more successful that predicting location placement. This suggests implications for training badminton player’s judgement of shuttlecock trajectory.
 
 
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