Hybrid Wheelchair control method with EEG signal and facial Expression

While degrading their mobility, one of the major concerns of elderly/disabled people is affecting their ability to live independently. Assistive technologies for mobility are now designed to improve people’s living conditions. However, improvements are needed to existing mobility assist devices. This article explores the design and control of a smart wheelchair with two sources of control to improve wheelchair user safety. To improve user involvement and safety, the proposed system includes control interfaces with the EEG signal processing application using the EMOTIV Insight EEG headset in addition to facial expressions using a webcam, at the same time defining the state of the user.