Abstract
Most of the routine sports training posture recognition uses the principle of image processing method, which has strong limitations, and there is a problem of data loss in the recognition process. The recognition error is large, which reduces the accuracy of the recognition results. Based on this, a new method of sports training posture recognition is proposed by introducing Kinect body sensor and Internet of Things technology. First, the mathematical description method is used to model the human body in three dimensions to represent the continuous posture changes of the trainer. Secondly, Kinect somatosensory sensor and the Internet of Things technology collect the sports training action information of trainers, track and capture the movement of limbs and the whole body, and extract the sports training behavior characteristics of the recognized people. On this basis, the recognition algorithm of sports training posture is designed to achieve the goal of sports training posture recognition. The experimental results show that after the application of the new method, the recognition error of sports training posture is small and the recognition accuracy is high.
Published Version
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