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The look of Mind-Computer system interface for that wheelchair for physically disabled individuals is offered. The look on the proposed procedure relies on getting, processing, and classification from the electroencephalographic (EEG) alerts and then carrying out the Charge of the wheelchair. The number of experimental measurements of brain exercise has been carried out utilizing human control commands with the wheelchair. Based on the psychological activity of the consumer as well as the Manage instructions of the wheelchair, the design of classification system based upon fuzzy neural networks (FNN) is taken into account.
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The baby wheel chair construction of fuzzy neural networks used with the classification of EEG sign is predicated on TSK-style fuzzy rules and is also presented in Determine four. The FNN includes 6 layers. The 1st layer is used to distribute the input signals.