Research on the Application of Capacitive Fast Gesture Recognition System

Abstract

Gesture recognition, compared with the technology of machine vision and image processing, its algorithm is complicated, and the cost is relatively high. In this paper, a gesture recognition system based on the capacitive sensor was designed. The sensor plane of the system gesture data acquisition part was designed by capacitance-related principle. The collected data was subjected to the sliding average filtering processing and multiple training. The fuzzy partition simple template matching algorithm was adopted to quickly identify and recognize the collected specific gesture. Through practical experiments and tests, the total time of the system gesture recognition is less than 1 second, and the average recognition accuracy rate is 97.1%, which meets the system requirements of the real time and accuracy.