Emotion Detector

Abstract

Face plays significant role in social communication. This is a 'window' to human personality, emotions and thoughts. Verbal part contributes about 7% of the message, vocal – 34% and facial expression about 55%. Due to that, face is a subject of study in many areas of science such as psychology, behavioral science, medicine and finally computer science. In the field of computer science much effort is put to explore the ways of automation the process of face detection and segmentation. Several approaches addressing the problem of facial feature extraction have been proposed. The main issue is to provide appropriate face representation, which remains robust with respect to diversity of facial appearances. The objective of this report is to outline the problem of facial expression recognition, which is a great challenge in the area of computer vision. Advantages of creating a fully automatic system for facial action analysis are constant motivation for exploring this field of science and will be mentioned in this thesis.