Beach volleyball serve type recognition

(Beachvolleyball-Aufschlagtyperkennung)

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. Alle Rechte vorbehalten.

Bibliographische Detailangaben
Schlagworte:
Notationen:Spielsportarten Naturwissenschaften und Technik
Veröffentlicht in:ISWC '16: Proceedings of the 2016 ACM International Symposium on Wearable Computers
Sprache:Englisch
Veröffentlicht: 2016
Online-Zugang:https://doi.org/10.1145/2971763.2971781
Seiten:44-45
Dokumentenarten:Kongressband, Tagungsbericht
Level:hoch