Brain signal recognition system based on One-Against-One Multiclass Support Vector Machines: A comparison with Multiclass Neural Network

Abstract

The human mind recognition system is a complex state of mind which can be connected to trigger an external reaction based on internal stimuli. This paper investigates the possibility of recognizing brain signal using signal processing and intelligent technique. The system is differenciate four difference mind thinking, namely moving left hand, moving right hand, moving foot and moving tangue, respectively. The Linear Prediction Coding (LPC) is used to extract the signal, in which the extracted signal is later used as input to the Support Vector Machine (SVM) based identifier. The brain signal parameters are compared and classified to identify the human actions that are intended to be perform. The results of the computer simulation show that this technique produces better accuracy to that of the existing technique based on artificial neural network (ANN), and it requires less training time of one second.