  The aim of this paper is to design and construct an electroencephalograph
(EEG) based brain-controlled wheelchair to provide a communication bridge from
the nervous system to the external technical device for people of determination
or individuals suffering from partial or complete paralysis. EEG is a technique
that reads the activity of the brain by capturing brain signals non-invasively
using a special EEG headset. The signals acquired go through pre-processing,
feature extraction and classification. This technique allows human thoughts
alone to be converted to control the wheelchair. The commands used are moving
to the right, left, forward, and backward and stop. The brain signals are
acquired using the Emotiv Epoc headset. Discrete Wavelet Transform is used for
feature extraction and Support Vector Machine (SVM) is used for classification.
