Presumption Method for Detecting and Analyzing Human Mental Behavior by Employing EEG Signal

For the field of security concerned bounds human identification has fallen out a titanic promising biological or biometric specification based system. Biometric systems worship different kinds of properties, e.g., characteristics of fingerprint, face, iris or posture. The motive of this research is to assess the different mortal psychic behavior by Electroencephalogram (EEG) signal with time-frequency exploration by acquiring information from the interior changes of brain territory. This paperwork represents mortal psychic conditions emerged on some prominent features of EEG signal. For this experimental motive five pathological states have been regulated like as happiness, sadness, anger, surprise, and fear. Various EEG signals have been compiled for these states and resolved by employing discrete transform. Congealing for a tangible problem, standard deviation is noteworthy in this case and the curve of happiness is more diligent.