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...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Language: | English English |
| Published: |
Springer Singapore
2018
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848821286574227456 |
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| author | Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Muhammad Amirul, Abdullah M. H. A., Hassan |
| 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 |
| author_sort | Zahari, Taha |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:22:56Z |
| format | Book Chapter |
| id | ump-21162 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T02:22:56Z |
| publishDate | 2018 |
| publisher | Springer Singapore |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Chapter 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 |
| 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 |
| title | 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_short | 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 |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| 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 |