Beach volleyball serve type recognition
© 2016 ACM. We present results on beach volleyball serve recognition and classification from a wrist-worn gyroscope deployed with semi-professional beach volleyball players. We trained a template-based recognition system based on a Warping Longest Common Subsequence algorithm to spot serves, and pot...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Published: |
2018
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Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/43447 |
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Institution: | Mahidol University |
Summary: | © 2016 ACM. We present results on beach volleyball serve recognition and classification from a wrist-worn gyroscope deployed with semi-professional beach volleyball players. We trained a template-based recognition system based on a Warping Longest Common Subsequence algorithm to spot serves, and potentially distinguish among 4 common serve types. This shows the potential of wearable technologies in beach volleyball, which could offer precise sport analytics. |
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