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Autonomous Sports Training from Visual Cues
Smith, Andrew W. B. and Lovell, Brian C. (2003). Autonomous Sports Training from Visual Cues. In: Lovell, Brian C., Campbell, Duncan A., Fookes, Clinton B. and Maeder, Anthony J., Proceedings of the 8th Australian and New Zealand Intelligent Information Systems Conference. The 8th Australian and New Zealand Intelligent Information Systems Conference, Sydney, (279-284). 10-12 December, 2003.
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| Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials) |
| Name |
Description |
MIMEType |
Size |
Downloads |
paper135.pdf
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paper135.pdf |
application/pdf |
178.68KB |
616 |
| Author(s) |
Smith, Andrew W. B.
Lovell, Brian C.
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| Title of paper |
Autonomous Sports Training from Visual Cues
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| Conference name |
The 8th Australian and New Zealand Intelligent Information Systems Conference
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| Conference location |
Sydney
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| Conference dates |
10-12 December, 2003
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| Proceedings title |
Proceedings of the 8th Australian and New Zealand Intelligent Information Systems Conference
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| Editor(s) |
Lovell, Brian C.
Campbell, Duncan A.
Fookes, Clinton B.
Maeder, Anthony J.
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| Place published |
Brisbane
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| Publisher |
Queensland University of Technology
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| Publication date |
2003
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| Volume number |
1
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| Issue number |
1
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| ISBN |
1-74107-039-2
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| Start page |
279
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| End page |
284
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| Total pages |
6
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| Collection year |
2003
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| Language |
eng
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| Abstract/Summary |
Computer driven biometric analysis of athlete's movements have proven themselves as effective sports training tools. Most current systems rely on the use of retro-reflective markers or magnetic sensors to capture the motion of the athlete, so the biometric analysis can be performed. Video based training tools have also proved to be valuable instructional aids, however most require significant human interaction for analysis to be performed. This paper outlines an ongoing project focussed on capturing posture without the use of any markers or sensors, while still capturing enough information for an automated analysis to be performed. The approach taken to solving this problem is presented, as well as the current state of development of a an instructional aid for golfers.
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| Subjects |
280208 Computer Vision
E1
700199 Computer software and services not elsewhere classified
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| Keyword(s) |
iris-research
computer vision
sports
golf
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