The design of brain-computer interface for the wheelchair for physically disabled people is presented. The design of the proposed\nsystem is based on receiving, processing, and classification of the electroencephalographic (EEG) signals and then performing\nthe control of the wheelchair. The number of experimental measurements of brain activity has been done using human control\ncommands of the wheelchair. Based on the mental activity of the user and the control commands of the wheelchair, the design of\nclassification system based on fuzzy neural networks (FNN) is considered.The design of FNN based algorithm is used for brainactuated\ncontrol. The training data is used to design the system and then test data is applied to measure the performance of the\ncontrol system. The control of the wheelchair is performed under real conditions using direction and speed control commands\nof the wheelchair.The approach used in the paper allows reducing the probability of misclassification and improving the control\naccuracy of the wheelchair.
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