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 electromyographic 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