L. Ponce CuspineraSakura UetsujiF. J.Ordonez MoralesDaniel RoggenUniversity of SussexMahidol University2018-12-112019-03-142018-12-112019-03-142016-09-12International Symposium on Wearable Computers, Digest of Papers. Vol.12-16-September-2016, (2016), 44-452-s2.0-84989295869https://repository.li.mahidol.ac.th/handle/20.500.14594/43447© 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.Mahidol UniversityComputer ScienceConference PaperSCOPUS10.1145/2971763.2971781