Disance (enhance the disabled) brain mapped mobility for physically challenged

This paper proposes an intelligent robotic wheelchair with user-friendly human-computer interface (HCI) based on EEG signal, face directional gesture, and voice. Electroencephalography (EEG) is the recording of electrical activity along the scalp produced by the firing of neurons within the brain. The user has to just think the direction in which the wheel chair has to move. Additionally at unavoidable circumstances he can use voice or other gestures to signal the movement. The user´s intention is transferred to the wheelchair via the HCI, and then the wheelchair is controlled to the intended direction. Additionally, the wheelchair can detect and avoid obstacles autonomously wing sonar sensors. By combining HCI into the autonomous functions, it performs safe and reliable motions while considering the user´s intention. The proposed robotic Wheelchair is feasible for the disabled and the elderly with severe motor disabilities. This concept gives the user the flexibility to use the device in unknown and evolving scenarios.