A sensor-based official basketball referee signals recognition system using deep belief networks

Chung Wei Yeh, Tse Yu Pan, Min Chun Hu

研究成果: Conference contribution

8 引文 斯高帕斯(Scopus)

摘要

In a basketball game, basketball referees who have the responsibility to enforce the rules and maintain the order of the basketball game has only a brief moment to determine if an infraction has occurred, later they communicate with the scoring table using hand signals. In this paper, we propose a novel system which can not only recognize the basketball referees’ signals but also communicate with the scoring table in real-time. Deep belief network and time-domain feature are utilized to analyze two heterogeneous signals, surface electromyography (sEMG) and three-axis accelerometer (ACC) to recognize dynamic gestures. Our recognition method is evaluated by a dataset of 9 various official hand signals performed by 11 subjects. Our recognition model achieves acceptable accuracy rate, which is 97.9% and 90.5% for 5-fold Cross Validation (5-foldCV) and Leave-One-Participant-Out Cross Validation (LOPOCV) experiments, respectively. The accuracy of LOPOCV experiment can be further improved to 94.3% by applying user calibration.

原文English
主出版物標題MultiMedia Modeling - 23rd International Conference, MMM 2017, Proceedings
編輯Gylfi Thór Gudmundsson, Shin’ichi Satoh, Laurent Amsaleg, Björn Thór Jónsson, Cathal Gurrin
發行者Springer Verlag
頁面565-575
頁數11
ISBN(列印)9783319518107
DOIs
出版狀態Published - 2017
事件23rd International Conference on MultiMedia Modeling, MMM 2017 - Reykjavik, Iceland
持續時間: 2017 一月 42017 一月 6

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10132 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other23rd International Conference on MultiMedia Modeling, MMM 2017
國家Iceland
城市Reykjavik
期間17-01-0417-01-06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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