The effectiveness of assistive devices for disabled people is often limited by the
human machine interface. This research proposes an intelligent wheelchair
system especially for severely disabled people based on analysing
electroencephalographic signals by using discrete wavelet transform and higher
order statistical methods. The system to be implemented in Field Programmable
Gate Array enables an accurate and efficient system of processing signals to
control the wheelchair, which makes an attractive option in the hardware
realization
