抽象的な

Identify Emotions through Human-Machine Interface

A.A. Bagade, Prof. N.B.Hulle

Magic Mirror Table, an augmented reality system, the viewer’s emotion can be determined through study of his / her facial language. In human societal interaction, facial language conveys the emotional condition of a human being. Facial language conveys non-verbal communication indication in face-to-face interaction, which plays an important role in interpersonal relations. This information can also play an important role wherever humans interact with machines. Automatic recognition of facial language may act as a component of natural humanmachine interfaces. In this paper, the mentally retarded person when come across the mirror, a camera is positioned there. It helps to recognize the state of mood. The software helps to recognize the person and compare the input image with the stored data we propose a system which helps the doctor or patient’s parents to know about the emotional status of mentally retarded person with the help of algorithms for facial language recognition by using face detection algorithm and facial emotion recognition algorithm.