Classification of Thoughts into Wheelchair Control Commands using Neural Network
Keywords:
Brain computer interface, EEG, Wavelet Transform, Multilayer perceptron (MLP).Abstract
This paper presents the use of neural network classification thought- based commands for wheelchair control. The advantage is to assist the locked in people who are not able to use physical interfaces like joysticks or buttons. Electroencephalogram (EEG) was used to discriminate motor imagery mental tasks, such as imagination of left hand, right hand, both hands and both feet. The four task classifications were mapped into a wheelchair movement, such as forward, left, right, and backward. The motor imagery
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