Measured The Force Platform Data Acquisition And Analysis System

Currently, the sports biomechanics is the focus of physical science. The force platform is an important instrument for its research. We mainly do the following work:Firstly, in view of signal process, we discuss the denoising of signal thoroughly. In this paper, we apply several methods to remove noise, including the Digital filter, Kalman filter, thresholding of wavelet and the adaptive neural network. On the base of these technologies, we propose a wavelet-neural network joint denoising method which makes it possible that the denoising threshold can be learned adaptively by a group of training signals. Our tests show that this method is more efficient.Secondly, we put forward some biomechanical parameters according to different tests. These parameters can be used for diagnosis and assessment. At the same time, we do some research work on the muscle mechanism.Lastly, we develop a suit of software system for data collection from force platform. This system has been used for almost one year in the institute of JiangSu Physical Science. It works well and proves to be robust.