Date of Publication :20th October 2017
Abstract: Paralysis is the inability to move a portion of the body temporarily or permanently. Paralysis is caused by nerve damage in almost all instances and is not caused by injury to the impacted region. For example, a spinal cord injury in the middle or lower regions is likely to interfere with function below the injury, including the ability to move the feet or feel sensations, even though the actual structures are as healthy as ever. This results in at least one of the following symptoms in patients. Because of brain injuries, the brain cannot transmit a signal to a body region. Also known as the "direct neural interface," the brain-computer interface (BCI) can provide a direct channel of communication and interaction between the brain of the user and the computer. The concept of the brain-computer interface for wheelchairs is provided for persons with disabilities. The architecture of the proposed system relies on electroencephalographic signals (EEG) being obtained, processed and identified and then wheelchair operated. The number of experimental brain activity tests was conducted with human wheelchair control commands. The classification system based on fused neural networks (FNN) is known on the basis of the user's mental activity and the motor control commands of the wheelchair. For brain control the architecture of the FNN-based algorithm is used. Training data are used to design the system and test data are used to assess control system performance. The wheelchair control is carried out under real circumstances by means of wheelchair direction and speed control commands. The method used in the paper reduces the chance of misplacement and increases the wheelchair control performance.
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