The application of support vector machine in classifying potential archers using bio-mechanical indicators

This study classifies potential archers from a set of bio-mechanical indicators trained via different Support Vector Machine (SVM) models. 50 youth archers drawn from a number of archery programmes completed a one end archery shooting score test. Bio-mechanical evaluation of postural sway, bow movem...

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Main Authors:	Zahari, Taha, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Muhammad Amirul, Abdullah, M. H. A., Hassan
Other Authors:	Mohd Hasnun Ariff, Hassan
Format:	Book Section
Language:	English English
Published:	Springer Singapore 2018
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/21162/ http://umpir.ump.edu.my/id/eprint/21162/ http://umpir.ump.edu.my/id/eprint/21162/ http://umpir.ump.edu.my/id/eprint/21162/7/The%20Application%20of%20Support%20Vector%20Machine%20in-fkp-2018-1.pdf http://umpir.ump.edu.my/id/eprint/21162/13/book47%20The%20application%20of%20support%20vector%20machine%20in%20classifying%20potential%20archers%20using%20bio-mechanical%20indicators.pdf

id	ump-21162
recordtype	eprints
spelling	ump-211622018-08-07T04:20:48Z http://umpir.ump.edu.my/id/eprint/21162/ The application of support vector machine in classifying potential archers using bio-mechanical indicators Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Muhammad Amirul, Abdullah M. H. A., Hassan TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This study classifies potential archers from a set of bio-mechanical indicators trained via different Support Vector Machine (SVM) models. 50 youth archers drawn from a number of archery programmes completed a one end archery shooting score test. Bio-mechanical evaluation of postural sway, bow movement, muscles activation of flexor and extensor as well as static balance were recorded. k-means clustering technique was used to cluster the archers based on the indicators tested. Fine, medium and coarse radial basis function kernel-based SVM models were trained based on the measured indicators. The five-fold cross-validation technique was utilised in the present investigation. It was shown from the present study, that the employment of SVM is able to assist coaches in identifying potential athletes in the sport of archery. Springer Singapore Mohd Hasnun Ariff, Hassan 2018-04-28 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21162/7/The%20Application%20of%20Support%20Vector%20Machine%20in-fkp-2018-1.pdf pdf en http://umpir.ump.edu.my/id/eprint/21162/13/book47%20The%20application%20of%20support%20vector%20machine%20in%20classifying%20potential%20archers%20using%20bio-mechanical%20indicators.pdf Zahari, Taha and Musa, Rabiu Muazu and Anwar, P. P. Abdul Majeed and Mohamad Razali, Abdullah and Muhammad Amirul, Abdullah and M. H. A., Hassan (2018) The application of support vector machine in classifying potential archers using bio-mechanical indicators. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 385-391. ISBN 9789811087875 https://doi.org/10.1007/978-981-10-8788-2_34 DOI: 10.1007/978-981-10-8788-2_34
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Muhammad Amirul, Abdullah M. H. A., Hassan The application of support vector machine in classifying potential archers using bio-mechanical indicators
description	This study classifies potential archers from a set of bio-mechanical indicators trained via different Support Vector Machine (SVM) models. 50 youth archers drawn from a number of archery programmes completed a one end archery shooting score test. Bio-mechanical evaluation of postural sway, bow movement, muscles activation of flexor and extensor as well as static balance were recorded. k-means clustering technique was used to cluster the archers based on the indicators tested. Fine, medium and coarse radial basis function kernel-based SVM models were trained based on the measured indicators. The five-fold cross-validation technique was utilised in the present investigation. It was shown from the present study, that the employment of SVM is able to assist coaches in identifying potential athletes in the sport of archery.
author2	Mohd Hasnun Ariff, Hassan
author_facet	Mohd Hasnun Ariff, Hassan Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Muhammad Amirul, Abdullah M. H. A., Hassan
format	Book Section
author	Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Muhammad Amirul, Abdullah M. H. A., Hassan
author_sort	Zahari, Taha
title	The application of support vector machine in classifying potential archers using bio-mechanical indicators
title_short	The application of support vector machine in classifying potential archers using bio-mechanical indicators
title_full	The application of support vector machine in classifying potential archers using bio-mechanical indicators
title_fullStr	The application of support vector machine in classifying potential archers using bio-mechanical indicators
title_full_unstemmed	The application of support vector machine in classifying potential archers using bio-mechanical indicators
title_sort	application of support vector machine in classifying potential archers using bio-mechanical indicators
publisher	Springer Singapore
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21162/ http://umpir.ump.edu.my/id/eprint/21162/ http://umpir.ump.edu.my/id/eprint/21162/ http://umpir.ump.edu.my/id/eprint/21162/7/The%20Application%20of%20Support%20Vector%20Machine%20in-fkp-2018-1.pdf http://umpir.ump.edu.my/id/eprint/21162/13/book47%20The%20application%20of%20support%20vector%20machine%20in%20classifying%20potential%20archers%20using%20bio-mechanical%20indicators.pdf
first_indexed	2023-09-18T22:30:56Z
last_indexed	2023-09-18T22:30:56Z
_version_	1777416280888836096

The application of support vector machine in classifying potential archers using bio-mechanical indicators

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