Application of Computer Network Technology in Human Movement Recognition

Abstract

With the rapid development of computer vision technology, human motion recognition technology has occupied an important position in this field. It has important practical value and research value in security protection, advanced human-computer interaction, video search analysis and sports analysis. This paper mainly studies the application of computer network technology in human movement recognition. In this paper, the human body structure is decomposed firstly, and the efficiency of human motion recognition can be improved by decomposing the human body structure. Then, this paper uses STFT technology to study and analyze the extraction of human motion features, and uses SVM classifier to classify and identify the motion. In this paper, after modifying firmware and recompiling system, action data is obtained from common PC and commercial wireless network card, and action recognition is carried out. It can be seen from the experimental results that the accuracy rate of human movement recognition based on computer network proposed in this paper is 96.70%, which can effectively identify and describe human movements.