TY - GEN
T1 - Accurate Recognition of Volleyball Motion Based on Fusion of MEMS Inertial Measurement Unit and Video Analytic
AU - Peng, Kaiqiao
AU - Zhao, Yuliang
AU - Sha, Xiaopeng
AU - Ma, Wenqian
AU - Wang, Yufan
AU - Li, Wen J.
PY - 2018/7
Y1 - 2018/7
N2 - This paper presents an motion recognition and analysis method based on the fusion of MEMS Inertial Measurement Unit (IMU)data and the recorded video for the volleyball skill assessment. Based on the synchronous video and acceleration data of the player's wrist, the complete spiking motion are carefully studied. Six kinds of the important characteristics were used to recognize the 12 trails of spiking motion of the same player by neural network. The results demonstrated that this method can recognize the motions of the same players with an accuracy of 89.6%. Furthermore, this proposed method can be extended to analyze the key motions of other types of sports, e.g., basketball, badminton, and baseball.
AB - This paper presents an motion recognition and analysis method based on the fusion of MEMS Inertial Measurement Unit (IMU)data and the recorded video for the volleyball skill assessment. Based on the synchronous video and acceleration data of the player's wrist, the complete spiking motion are carefully studied. Six kinds of the important characteristics were used to recognize the 12 trails of spiking motion of the same player by neural network. The results demonstrated that this method can recognize the motions of the same players with an accuracy of 89.6%. Furthermore, this proposed method can be extended to analyze the key motions of other types of sports, e.g., basketball, badminton, and baseball.
KW - Inertial Measurement Unit
KW - Motion Recognition
KW - Neural Network
KW - Spiking motion
UR - http://www.scopus.com/inward/record.url?scp=85064987173&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85064987173&origin=recordpage
U2 - 10.1109/CYBER.2018.8688133
DO - 10.1109/CYBER.2018.8688133
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - 8th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER
SP - 440
EP - 444
BT - Proceedings of 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
PB - IEEE
T2 - 8th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2018
Y2 - 19 July 2018 through 23 July 2018
ER -