The activity of the human brain in the dynamic of voluntary movements (M) and motor imagery (MI) was investigated. It was found that the negative shift of the cortical surface potentials associated with the M and MI preparation. The differences of the spatiotemporal structure of the early surface-negative wave in the real and imagery movement were not significant, however between late potentials of the M and MI important differences were registered.

The proposed multi-modality human identification system, which fuses the IRIS and Electroencephalogram (EEG). These approaches are the most popular human identification system when they are considered separately. They can be affected by various direct attacks and spoofing. Hence we combine them to obtain a highly secured human identification system. This integrated system using IRIS and Electroencephalogram biometric with Liveness detection is the first of its kind in the international scenario. Experimental results show that the highest identification performance is obtained and neuro image coding is proposed. These ideas and directions helps to develop new tools, techniques, and methodologies in biometrics, lie detection, crime detection, to detect the record of specific terrorist act or any incident stored in the brain and to intensify brain related methodologies, brain imaging studies and healthcare solutions in future.