Implementation of Brain Computer Interface (BCI) as a Smart Wheelchair Motion Commands

A wheelchair is a tool used to assist people with physical limitations in their legs. The most widely are standard wheelchairs manual operating system by being pushed hand. However, disabilities who have paralysis or suffer from neuromuscular and neurological conditions cannot use this wheelchair. Because of this, study focuses on implementing the Brain Computer Interface generate five commands move There important stages BCI system, that signal acquisition, pre-processing, feature extraction, classification, applications interface. Fast Fourier Transform (FFT) method extract brainwave features. results FFT alpha (8-12Hz) beta (12-30 Hz) waves frequency domain. For classifying brain into six classes as input drive DC motor Support Vector Machine (SVM) method. Based test results, average accuracy classification for whole class reached 93,1%, 0 (77,3%), 1 (95,7%), 2 (97,8%), 3 (98,0%), 4 (97,5%).