Differentiating Trauma and Normal Human Emotion Using Convolutional Neural Networks

Identifying the Traumatic state of the person who have undergone some type drastic situation and who are mentally depressed on that, but act normally, so this project mainly aims in differentiating normal human and trauma patients. This paper, mainly focuses in determining the emotion of a person (Anger, Fear, Happy, Sad, Disgust, Surprise, Neutral) and identify whether the person is a normal person or trauma patient by using Convolutional Neural Network (CNN).The work is devising the scenarios for data collection from the JAFFE database for normal people and Autistic detection database for Traumatic patients. The experimental results in confirming whether the person is normal or trauma affected.