Framework of knowledge-based system for practising long jumpers using movement recognition

The long jump is one of the standard events in modern Olympic Games. It is a part of track and field. The long jump comprises of four phases: Approach run phase, Take-off phase, Flight phase and Landing phase. Each phase effects to construct the flight distance. If athletes execute right actions in...

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Main Authors: Teerawat Kamnardsiri, Worawit Janchai, Pattaraporn Khuwuthyakorn, Parinya Suwansrikham, Jakkrit Klaphajone, Permsak Suriyachan
Format: Conference Proceeding
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84994316267&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44632
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-446322018-04-25T07:54:17Z Framework of knowledge-based system for practising long jumpers using movement recognition Teerawat Kamnardsiri Worawit Janchai Pattaraporn Khuwuthyakorn Parinya Suwansrikham Jakkrit Klaphajone Permsak Suriyachan Agricultural and Biological Sciences The long jump is one of the standard events in modern Olympic Games. It is a part of track and field. The long jump comprises of four phases: Approach run phase, Take-off phase, Flight phase and Landing phase. Each phase effects to construct the flight distance. If athletes execute right actions in each phase, it will increase their performance. Athletes need some coaches or experts to provide them suggestions. Nonetheless, there is a lack of experts in this field. In this paper, we demonstrate a new framework of a knowledge-based system for training long jumpers in order to support trainers or coaches in practising and monitoring the long jumping movement. The idea is to combine the knowledge engineering methods with computer vision techniques for constructing the expert system. The system will be able to capture movements of the long jump athletes in each phase, analyse and give the recommendation based on knowledge captured from experts. 2018-01-24T04:45:51Z 2018-01-24T04:45:51Z 2015-01-01 Conference Proceeding 20489803 2-s2.0-84994316267 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84994316267&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44632
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Teerawat Kamnardsiri
Worawit Janchai
Pattaraporn Khuwuthyakorn
Parinya Suwansrikham
Jakkrit Klaphajone
Permsak Suriyachan
Framework of knowledge-based system for practising long jumpers using movement recognition
description The long jump is one of the standard events in modern Olympic Games. It is a part of track and field. The long jump comprises of four phases: Approach run phase, Take-off phase, Flight phase and Landing phase. Each phase effects to construct the flight distance. If athletes execute right actions in each phase, it will increase their performance. Athletes need some coaches or experts to provide them suggestions. Nonetheless, there is a lack of experts in this field. In this paper, we demonstrate a new framework of a knowledge-based system for training long jumpers in order to support trainers or coaches in practising and monitoring the long jumping movement. The idea is to combine the knowledge engineering methods with computer vision techniques for constructing the expert system. The system will be able to capture movements of the long jump athletes in each phase, analyse and give the recommendation based on knowledge captured from experts.
format Conference Proceeding
author Teerawat Kamnardsiri
Worawit Janchai
Pattaraporn Khuwuthyakorn
Parinya Suwansrikham
Jakkrit Klaphajone
Permsak Suriyachan
author_facet Teerawat Kamnardsiri
Worawit Janchai
Pattaraporn Khuwuthyakorn
Parinya Suwansrikham
Jakkrit Klaphajone
Permsak Suriyachan
author_sort Teerawat Kamnardsiri
title Framework of knowledge-based system for practising long jumpers using movement recognition
title_short Framework of knowledge-based system for practising long jumpers using movement recognition
title_full Framework of knowledge-based system for practising long jumpers using movement recognition
title_fullStr Framework of knowledge-based system for practising long jumpers using movement recognition
title_full_unstemmed Framework of knowledge-based system for practising long jumpers using movement recognition
title_sort framework of knowledge-based system for practising long jumpers using movement recognition
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84994316267&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44632
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