Publication: Beach volleyball serve type recognition
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Issued Date
2016-09-12
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2-s2.0-84989295869
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Mahidol University
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SCOPUS
Bibliographic Citation
International Symposium on Wearable Computers, Digest of Papers. Vol.12-16-September-2016, (2016), 44-45
Suggested Citation
L. Ponce Cuspinera, Sakura Uetsuji, F. J.Ordonez Morales, Daniel Roggen Beach volleyball serve type recognition. International Symposium on Wearable Computers, Digest of Papers. Vol.12-16-September-2016, (2016), 44-45. doi:10.1145/2971763.2971781 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/43447
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Title
Beach volleyball serve type recognition
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Abstract
© 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.