Dance Movement Interference Suppression Algorithm Based on Wearable Sensors in a Smart Environment

Abstract

Wearable device (Wearable device) is a hardware device that can be installed on clothes, clothing accessories or directly worn on the body for easy carrying. It can collect a large amount of user data and behavior habits in real time, and complete some by using software information technology. This paper aims to study the dance movement interference suppression algorithm based on wearable sensors in a smart environment. This paper proposes a method of human action recognition based on wearable sensors, using the original motion capture data collected by the wearable sensors to perform three-dimensional reconstruction, which shows that the basic link of constructing action words is the extraction of key gestures. In addition, this article also proposed an interference suppression algorithm, introduced wavelet noise reduction processing, calculated wavelet coefficients, noisy signals and other basic information, which proved the effectiveness of the interference suppression algorithm. The experimental results of this article show that the wearable sensor dance movement recognition in a smart environment has been greatly improved compared with the traditional dance movement recognition. Among them, the recognition rate of dance movements has increased by 25%, and the error of dance movements has become smaller and smaller. The results show that the interference suppression algorithm has obvious effects on the dance movements of the wearable sensor.