Application of Big Data Cloud Cleaning System in the Management of Body Function Training

Abstract

Based on big data technology, this paper focuses on the application of body function training management system in sports training. In this paper, Kinect is selected as a body sensing training platform. The platform integrates the basic functions of motion data acquisition and rehabilitation evaluation, and pre sets the typical rehabilitation training actions of left and right limbs, such as shoulder and elbow joints. The data stream was trained by the motion data stream and the motion model respectively. After the data is regularized by the algorithm logic, the dynamic time warping algorithm and Hausdorff distance measure algorithm are used to calculate and evaluate the similarity of the two groups of action flow data. At the same time, this paper also applies the relevant kinematics evaluation methods in rehabilitation therapy to the evaluation of rehabilitation training results, and carries out relevant experiments to verify the feasibility of the algorithm and theory.