Self-powered Triboelectric Sensor with Data Classification Model based on Support Vector Machine and Convolutional Neural Network

An accurate, stable, small size and self-powered triboelectric sensor has been made and an algorithm based on Convolutional Neural Network (CNN) and Support Vector Machine (SVM) has been proposed to realize the intelligent analysis of the data collected from the triboelectric sensor. By simulating the practical application of triboelectric sensors in different environments and analyzing the collected data, th e good performance of triboelectric sensors and the rationality and feasibility of the algorithm are verified.