1- Institute for Advanced Medical Technologies (IAMT), Tehran University of Medical Sciences, Tehran, Iran.
3- Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
interface systems. SSVEP is a response to visual stimuli presented. We present a classification method to discriminate between closed eyes and opened eyes. Fourier transforms and power spectrum density features extracted from signals and Multilayer perceptron and radial basis function neural networks used for classification. The experimental results show an accuracy of 97% for test data.
Iran University of Medical Sciences, Shahid Hemmat Highway, Tehran, Iran.
