TY - GEN
T1 - Using hybrid sensoring method for motion capture in volleyball techniques training
AU - Lin, Ji
AU - Zhang, Rumin
AU - Chen, Jianwen
AU - Zeng, Liaoyuan
AU - Jiang, Liu
AU - McGrath, Sean
AU - Yang, Jiansong
PY - 2018
Y1 - 2018
N2 - ![CDATA[The objective of the research is to provide a new hybrid motion capture method to assist the players' training of the standardized volleyball techniques. The proposed method is developed by integrating the optical passive maker based motion capture method and the non-optical inertial motion capture method. The hybrid method can accurately capture an individual volleyball player's movement including running, jumping, strike, service, reception, etc. Then, the captured motion data can be used to precisely reconstruct the player's behavior as a 3D model in the analysis system for the comparison between the player's volleyball techniques with the world-class players. Thus, the coach and the player can distinctly observe the degree of standardization of the player's volleyball techniques and improve the techniques by using the specific training methods. The hybrid motion capture method is proposed by exploring of the complementary characteristics of the optical and non-optical motion capture method. We verify the effectiveness of the proposed method by testing in the Sichuan Provincial Men's/Women's Volleyball Team and the local volleyball teams. The results of the research and test demonstrate that the proposed hybrid motion capture method is specifically suitable for assisting the training of the player's standardized volleyball techniques and significantly enhance the performance of the training.]]
AB - ![CDATA[The objective of the research is to provide a new hybrid motion capture method to assist the players' training of the standardized volleyball techniques. The proposed method is developed by integrating the optical passive maker based motion capture method and the non-optical inertial motion capture method. The hybrid method can accurately capture an individual volleyball player's movement including running, jumping, strike, service, reception, etc. Then, the captured motion data can be used to precisely reconstruct the player's behavior as a 3D model in the analysis system for the comparison between the player's volleyball techniques with the world-class players. Thus, the coach and the player can distinctly observe the degree of standardization of the player's volleyball techniques and improve the techniques by using the specific training methods. The hybrid motion capture method is proposed by exploring of the complementary characteristics of the optical and non-optical motion capture method. We verify the effectiveness of the proposed method by testing in the Sichuan Provincial Men's/Women's Volleyball Team and the local volleyball teams. The results of the research and test demonstrate that the proposed hybrid motion capture method is specifically suitable for assisting the training of the player's standardized volleyball techniques and significantly enhance the performance of the training.]]
UR - https://hdl.handle.net/1959.7/uws:67434
U2 - 10.1109/ICSensT.2018.8603555
DO - 10.1109/ICSensT.2018.8603555
M3 - Conference Paper
SN - 9781538651476
SP - 217
EP - 222
BT - Proceedings of 2018 12th International Conference on Sensing Technology (ICST 2018), Limerick, Ireland, 4-6 December 2018
PB - IEEE
T2 - International Conference on Sensing Technology
Y2 - 2 December 2019
ER -