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PLAYER POSITION DETECTION AND MOVEMENT PATTERN RECOGNITION FOR AUTOMATED TACTICAL ANALYSIS IN BADMINTON

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thesis
posted on 16.01.2018, 03:17 by KOKUM GAYANATH WEERATUNGA
This thesis documents the development of a comprehensive approach to automate badminton tactical analysis. First, a computer algorithm was developed to automatically track badminton players moving on a court. Next, a machine learning algorithm was developed to analyse these movements and understand their underlying tactical implications. Both algorithms were tested and validated using video footage recorded at International badminton tournaments. The results demonstrate that the combination of these two algorithms can successfully automate badminton tactical analysis.

History

Campus location

Malaysia

Principal supervisor

Anuja Dharmaratne

Additional supervisor 1

Khoo Boon How

Additional supervisor 2

Yeo Wee Kian

Year of Award

2018

Department, School or Centre

School of Information Technology (Monash University Malaysia)

Additional Institution or Organisation

National Sports Institute of Malaysia

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology

Exports