Choosing Optimal Mental Tasks for Classification in Brain Computer Interfaces

K. Tavakolian, S. Rezaei (Canada), and S.K. Setarehdan (Iran)

Keywords

: Electroencephalographic Signal, LeaveOne OutMethod, Brain Computer Interface, Mental Tasks.

Abstract

: In this research, some important aspects of mental task classification are investigated. The effect of neural network topology on the accuracy of classifications is evaluated. The implemented approach towards this problem is leave-one-out-method or LOOM. Different combinations of mental tasks are classified and are compared with each other. According to the results for three of our subjects, better mental tasks are determined. This can be developed into a method for increasing the accuracy of Brain-Computer Interfaces.

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