Research on a Throwing Multidimensional Force Sensing System for Advanced Training of Shot-Put Athletes
In this paper, we develop a novel digital-shot system for sensing the throwing force information of shot-put athletes in real time. The digital-shot has been designed and manufactured with the same external dimensions and weight as the normal shot for open females. The three axes integrated accelerometer, as a crucial device in the force sensing system, can acquire the kinetics data along three orthogonal directions with reasonably high accuracy. By using the method of wavelet transformation, the characteristics of acceleration signals during the shot-put period can be extracted. Artificial neural network is adopted to recognise the movement pattern in different phases of shot throwing. For supplying more effective training instruction, with the help of six axes ground reaction force measuring apparatus, high-speed photography and surface electromyo-graphic signal remote measuring device etc, an integrated platform of shot-put athlete biomechanical information acquisition is constructed. Based on the fusion of multi-targets and multi-parameters information, the shot-put athletes coaching system is proposed, which not only can supply constructive guidance for athletes to improve their skills, but also provide a new research platform of motion human modeling.
Digital-shot shot-put information acquisition throwing motion
Zhen Gao Quanjun Song Ming Liu Jianhe Lei Yong Yu YunJian Ge
State Key laboratory of Robot Sensing System Institute of Intelligent Machines,Chinese Academy of Sc Department of Electrical and Computer Systems Engineering Monash University elbourne, Victoria 3800, State Key laboratory of Robot Sensing System Institute of Intelligent Machines,Chinese Academy of Sc
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
376-381
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）