Facial expression recognition provides rich information for human-robot interaction with respect to emotions. This paper presents a facial expression recognition method that recognizes facial expressions as well as intensity and mixture ratio of basic facial expressions. In this system, K-means clustering method is applied on Cohn-Kanade image database. Algorithms are adopted to align the input...

Face plays an important role in human communication. Facial expressions and gestures incorporate nonverbal information which contributes to human communication. By recognizing the facial expressions from facial images, a number of applications in the field of human computer interaction can be facilitated. Last two decades, the developments, as well as the prospects in the field of multimedia si...

This project involves the design and implementation of face emotion recognition system using convolutional neural network models. Face Emotion Recognition plays an important role in fields like computer vision artificial intelligence to its significant academic commercial potential.The work focuses on studies facial expression because expressions are one channel interpersonal communication. KEY...

Reverse simulation models of facial expression recognition suggest that we recognize the emotions of others by running implicit motor programmes responsible for the production of that expression. Previous work has tested this theory by examining facial expression recognition in participants with Möbius sequence, a condition characterized by congenital bilateral facial paralysis. However, a mixe...

BACKGROUND Altered emotional processing, including reduced emotion facial expression and defective emotion recognition, has been reported in patients with Parkinson's disease (PD). However, few studies have objectively investigated facial expression abnormalities in PD using neurophysiological techniques. It is not known whether altered facial expression and recognition in PD are related. OBJ...

Automatic recognition of facial expressions is an important component for human-machine interfaces. It has lot of attraction in research area since 1990's.Although humans recognize face without effort or delay, recognition by a machine is still a challenge. Some of its challenges are highly dynamic in their orientation, lightening, scale, facial expression and occlusion. Applications are in the...

Facial expressions give important information about emotions of a person. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion detection using facial expressions recognition is now a main area of interest within various fields such as computer science, medicine, and psychology and To improve the human-computer interaction...

© 2013 Woo-han Yun et al. 1021 http://dx.doi.org/10.4218/etrij.13.2013.0054 Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis ch...

In the last decade, face analysis, e.g. face recognition, face detection, face tracking, facial expression recognition, is a very lively and expanding research field. As computer animated agents and robots bring a social dimension to human computer interaction, interest in this research field is increasing rapidly. In this paper, we introduce an artificial emotion mimic system which can recogni...