Intelligent Face Emotion Detection Application for Blind People

Facial expressions are recognized by the various quality of the human face such as postures, emotions, and orientation of the face. As many people around us are visually impaired and suffer problems in detecting emotions of the human facial expressions. In this paper, we are implementing an application on the identification of facial expressions for blind people which helps visually impaired people to recognize facial expressions with a different sound on different expressions such as happy, anger, sad, disgust, fear, neutral, surprise, etc. Technologies such as image processing and computer vision are used in this application. The application of identification of facial expressions uses the camera to capture the expressions of the human face. It also detects the movements of eyes, nose, lips, etc., and analyzes by comparing with the trained data using classifiers to recognize the facial expressions of the human face and by using algorithms of machine learning, it converts expressions into sound based on different expressions so that blind people can recognize expressions of the human face.