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Mind-Wave Wheelchair System

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Rapid advances in technology have helped to improve human life, specifically for people with disabilities. These people cannot control their muscles, write, or talk properly because of disruptions in their nervous system. However, many of them can control their brain activity and eye movement. Electroencephalography (EEG) tools are used to track brainwaves and eyes blink activities and convert them to useful metrics. Using EEG tools, people with movement or speech disabilities can only be trained to think of any action they want to take to make it real. This paper proposes a system that can be integrated into a wheelchair to control the movements using brainwaves signals. In this paper, the NeuroSky mind-wave mobile headset is used as an EEG tool. NeuroSky signals combined with neural network MATLAB code as training code with the adjusted parameters of this code are supplied to the standalone Arduino controller used to control the mini wheelchair prototype.
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Arduino Standalone AI Application; Artificial Neural Network (ANN); Brain-Computer Interface (BCI); EEG; Mind-Wave Wheelchair; NeuroSky Headset; Self-Organizing Maps

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