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. Kaikki oikeudet pidätetään.
| Aiheet: | rantalentopallo havainto tekniikka arviointi järjestys teknologia hyökkäys |
|---|---|
| Aihealueet: | urheilukilpailut tekniset ja luonnontieteet |
| DOI: | 10.1145/2971763.2971781 |
| Julkaisussa: | ISWC '16: Proceedings of the 2016 ACM International Symposium on Wearable Computers |
| Julkaistu: |
2016
|
| Sivuja: | 44-45 |
| Julkaisutyypit: | kongressin muistiinpanot |
| Kieli: | englanti (kieli) |
| Taso: | kehittynyt |