EEG identification and differentiation for left-handedness

In this paper, we investigated a new left-handedness identification module to identify the handedness of a person. The Electroencephalogram (EEG) data were obtained to detect the features and characteristics of left-handers. The subjects were required to relax and view the video clips provided. The handedness of the subject can be identified from the EEG data obtained using the left-handedness module. These EEG signals were obtained from A1, O1 and O2 locations and dassified into four different frequency bands, namely: Alpha, Beta, Delta and Theta, to determine the Mean EEG Coherence (MEC). Based on our observations, the left handed subject has higher Mean EEG Coherence, reflecting significant communications and relationship between the right and left hemisphere of cerebrums in the corpus callosum. From our analysis, the left-handers have been discovered with increased functional interaction between cerebral hemispheres and increased corpus callosum size. Therefore, the left-handedness is identified based on the increased size of corpus callosum, that allows greater inter-hemispheric linkage and communication. The developed handedness identification system has shown significant performance to identify subjects with left-handedness.