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The brain-computer interfaces (BCI) or the mind machine interface (MMI) is the direct communication route between the brain and external devices. At present it is difficult for people suffering from attacks, amyotrophic lateral sclerosis (ALS) to lead to complete paralysis and can not communicate with the real world. Therefore, the BCI system can be used to improve the quality of life of these patients. In this document, we overcome this challenge by introducing a BCI system that helps the patient navigate the wheelchair from one place to another according to the model of motor images to control a wheelchair driven by the brain. This allows the user to control the direction of four movements to the left, to the right, forward and back, the simulation or the actual wheelchair. The wheelchair also learns to navigate inside the house and the user can select the destination with just one blink. Experimental trials will be conducted to evaluate BCI Control, both a simulated wheelchair in a virtual environment and a real wheelchair were tested. The system will be realized as an independent hardware unit and will be tested in the field.
[Image: block_diagram_of_intelligent_wheel_chair_1.JPG]