Wearable beach volleyball serve type recognition

Ponce Cuspinera, Luis, Uetsuji, Sakura, Ordonez Morales, Francisco Javier and Roggen, Daniel (2016) Wearable beach volleyball serve type recognition. In: ISWC 2016: the 20th International Symposium on Wearable Computers, September 12-16, 2016, Heidelberg, Germany.

[img] PDF - Accepted Version
Restricted to SRO admin only
Available under License All Rights Reserved.

Download (458kB)

Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: Q Science > QA Mathematics > QA0273 Probabilities. Mathematical statistics
Q Science > QA Mathematics > QA0299 Analysis. Including analytical methods connected with physical problems
Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Related URLs:
Depositing User: Daniel Roggen
Date Deposited: 28 Jun 2016 16:25
Last Modified: 17 Nov 2016 13:24
URI: http://sro.sussex.ac.uk/id/eprint/61772

View download statistics for this item

📧 Request an update