Cognitive-Chair: AI based advanced Brain Sensing Wheelchair for Paraplegic/Quadriplegic people

This paper presents a system wherein the individual seated on a wheelchair will be given a keen headband to control the wheelchair based on neural signals or brain waves emitted from the brain utilizing technologies like Brain-Computer Interface(BCI), Electrooculography (EOG) and Electroencephalography (EEG). Subsequent to applying these technologies on a small wheelchair model, we have gotten incredible accuracy of the neural-signals. Thus the results are quite astonishing. Apart from this, in future aspects considering the safety of passengers, if anything obstructing the way of the wheelchair comes too close; causing the person to lose their concentration, the wheelchair will sense the obstacle and will apply brakes immediately. Other smart mobility features like fall-detection, ability to go through tight spaces, autonomous driving features can also be seen. The proposed wheelchair has the potential to significantly impact the healthcare business. The use of this brain-controlled wheelchair can improve a wheelchair-worthy patient's quality of life.