Review on Various Emotional Disorders by Analyzing Human Brain Signal Patterns (EEG Signals)

Making machine more emphatic to the user is the gorgeousness of emotive computing. To look inside the users head and operate according to the observed mental state is the ability of emotion identification machines. Now a day's lot of research is going on in e-healthcare systems. By means of bio-sensors we can capture brain signals, which are used to discover human emotional and mental state. As emotions are playing very important role in making decisions and other mental tasks. Such e-healthcare systems are really required to improve overall human's life. As researchers are showing lots of interest in establishing emotional interaction between human and machine (HCI) and for this recognition of emotional state is basic requirement.In this paper, various human emotions and EEG signal patterns of human brain are studied. Here we present analysis on neurophysiologic research which can be performed by various researchers. The EEG signals are helpful to analyze various human emotions. Emotion is important indicator of mental instability. The objective of this paper is to find out how these emotions are helpful to solve emotional disorders like depression, anxiety and emotional instability.