4065077
Beach volleyball serve type recognition
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.
© Copyright 2016 ISWC '16: Proceedings of the 2016 ACM International Symposium on Wearable Computers. All rights reserved.
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| Notations: | sport games technical and natural sciences |
| Published in: | ISWC '16: Proceedings of the 2016 ACM International Symposium on Wearable Computers |
| Language: | English |
| Published: |
2016
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| Online Access: | https://doi.org/10.1145/2971763.2971781 |
| Pages: | 44-45 |
| Document types: | congress proceedings |
| Level: | advanced |