Development of portable brain-computer interface using NIRS

This paper is directed toward the development of a portable NIRS-BCI system, through investigation of different methods of brain activity classification in BCI. We first compare the performance of three classifiers (perceptron, BP network, and SVM) in classification of an ideal signal. We then investigate their performance in classification of actual data acquired in an experiment with volunteer participants and apply the findings to construction of a portable BCI system showing a capability for real-time implement manipulation.