Digital Analysis of Badminton Athlete Motion

Badminton is a sport that combines several different physical aspect. At a professional level, the sport demands excellent fitness criteria namely the player’s aerobic stamina, agility, strength, speed as well as precision. This study essentially entails the development of an innovative training sys...

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Main Authors:	Zahari, Taha, Hwa, Jen Yap, Mohammad Syawaludin Syafiq, Hassan, Wee, Kian Yeo
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/11341/ http://umpir.ump.edu.my/id/eprint/11341/1/Digital%20Analysis%20of%20Badminton%20Athlete%20Motion.pdf

id	ump-11341
recordtype	eprints
spelling	ump-113412018-01-22T04:32:36Z http://umpir.ump.edu.my/id/eprint/11341/ Digital Analysis of Badminton Athlete Motion Zahari, Taha Hwa, Jen Yap Mohammad Syawaludin Syafiq, Hassan Wee, Kian Yeo TS Manufactures Badminton is a sport that combines several different physical aspect. At a professional level, the sport demands excellent fitness criteria namely the player’s aerobic stamina, agility, strength, speed as well as precision. This study essentially entails the development of an innovative training system that incorporates technology that could improve the athlete’s performance. This system uses a combination of two Kinect, and relevant sensors that are required to capture necessary parameters for badminton analysis such as the motion detection, as well as the acceleration of the player. The training system can be used by the coach and/or biomechanics to analyse the performance of the athletes. The motion detection of the athlete is captured by means of Kinect skeleton tracking algorithm that tracks up to 20 joints of the body including their x-axis, y-axis and z-axis coordinates. An external device (a miniaturised Bluetooth, 6 DoF accelerometer and microprocessor) attached at the rear of the racquet’s handle is used to measure the motion of the racquet. The data is transferred via Bluetooth to an Android-based tablet device. The skeleton coordinates obtained from the tracking algorithm are in good agreement with the measurement taken from Kinect. In addition, the acceleration results achieved from the device attached to the racquet shows promising results, which enables pattern recognition of different strokes in badminton. The miniaturised device, as well as Kinect, have demonstrated its efficacy in measuring the necessary parameters in analysing the performance of badminton players. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11341/1/Digital%20Analysis%20of%20Badminton%20Athlete%20Motion.pdf Zahari, Taha and Hwa, Jen Yap and Mohammad Syawaludin Syafiq, Hassan and Wee, Kian Yeo (2015) Digital Analysis of Badminton Athlete Motion. In: International Conference on Movement, Health and Exercise (MOHE 2015), 5-7 Oct 2015 , Penang. . (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Zahari, Taha Hwa, Jen Yap Mohammad Syawaludin Syafiq, Hassan Wee, Kian Yeo Digital Analysis of Badminton Athlete Motion
description	Badminton is a sport that combines several different physical aspect. At a professional level, the sport demands excellent fitness criteria namely the player’s aerobic stamina, agility, strength, speed as well as precision. This study essentially entails the development of an innovative training system that incorporates technology that could improve the athlete’s performance. This system uses a combination of two Kinect, and relevant sensors that are required to capture necessary parameters for badminton analysis such as the motion detection, as well as the acceleration of the player. The training system can be used by the coach and/or biomechanics to analyse the performance of the athletes. The motion detection of the athlete is captured by means of Kinect skeleton tracking algorithm that tracks up to 20 joints of the body including their x-axis, y-axis and z-axis coordinates. An external device (a miniaturised Bluetooth, 6 DoF accelerometer and microprocessor) attached at the rear of the racquet’s handle is used to measure the motion of the racquet. The data is transferred via Bluetooth to an Android-based tablet device. The skeleton coordinates obtained from the tracking algorithm are in good agreement with the measurement taken from Kinect. In addition, the acceleration results achieved from the device attached to the racquet shows promising results, which enables pattern recognition of different strokes in badminton. The miniaturised device, as well as Kinect, have demonstrated its efficacy in measuring the necessary parameters in analysing the performance of badminton players.
format	Conference or Workshop Item
author	Zahari, Taha Hwa, Jen Yap Mohammad Syawaludin Syafiq, Hassan Wee, Kian Yeo
author_facet	Zahari, Taha Hwa, Jen Yap Mohammad Syawaludin Syafiq, Hassan Wee, Kian Yeo
author_sort	Zahari, Taha
title	Digital Analysis of Badminton Athlete Motion
title_short	Digital Analysis of Badminton Athlete Motion
title_full	Digital Analysis of Badminton Athlete Motion
title_fullStr	Digital Analysis of Badminton Athlete Motion
title_full_unstemmed	Digital Analysis of Badminton Athlete Motion
title_sort	digital analysis of badminton athlete motion
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11341/ http://umpir.ump.edu.my/id/eprint/11341/1/Digital%20Analysis%20of%20Badminton%20Athlete%20Motion.pdf
first_indexed	2023-09-18T22:11:58Z
last_indexed	2023-09-18T22:11:58Z
_version_	1777415087488761856

Digital Analysis of Badminton Athlete Motion

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