Determining Confused Brain Activity from EEG Sensor Signals

Human brain, being the most remarkable logic processing unit, sometimes fails to act properly. Often the task at hand becomes too cumbersome for the brain to perceive, which is known as confusion in simple terms. In some certain critical moments, it is expected for the brain to perform optimally. Hence, being able to determine the confused state of brain and providing arrangements to re-focus the brain is of utmost significance. Electroencephalography (EEG) sensors captures the electrical activity of the brain, and therefore can be used to infer the state of the brain. In this work a novel algorithm has been presented that extracts the spectral features from multi-band EEG signals using an Convolutional Neural Network (CNN) and reconciles the temporal…