Runtime Face Emotional evaluation using computer vision

Abstract

Face Emotional evaluation is one of the great processes in real world applications to analyze the person’s catastrophic reactions to spontaneous actions. The analysis process involves detection of face, recognition of face, expressions evaluation. These analyses can help in understanding the mindset of crowd at particular places. Usually single face detection is possible but using MTCNN (Multi-task cascaded Convolutionary Neural Networks) we can detect multiple faces simultaneously. This paper focuses not only on face detection but also face expression analysis at runtime.