Arkajyoti Mukherjee, Ritik Srivastava, Vansh Bhatia, Utkarsh and Suneeta Mohanty
Abstract: This chapter presents an Electroencephalography (EEG) based approach for brain activity analysis on the Multi-Modal face dataset to provide an under- standing for the visual response invoked in the brain upon seeing images of faces (familiar, unfamiliar and scrambled faces) and applying computational modeling for classification along with the removal/reduction of noise in the given channels. Thus demonstrating the process of EEG analysis which may be used in various smart health care applications.
Keywords Electroencephalography (EEG) · Feature extraction · Multi-modal dataset · Visual stimuli
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