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...

© 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...

Facial Expression Recognition is one of the challenging and active research topic in the recent years. Facial Expression Recognition System comprises the detection of face, facial feature extraction and classification of facial expression from still images. This paper summarizes the major techniques to recognize the facial expressions from still images. The techniques included in this paper are...

This paper details a procedure for generating a mapping function which maps an image of a neutral face to one depicting a smile. This is achieved by the computation of the Facial Expression Shape Model (FESM) and the Facial Expression Texture Model (FETM). These are statistical models of facial expression based on anatomical analysis of facial expression called the Facial Action Coding System (...

This paper presents a new idea for detecting an unknown human face in input imagery and recognizing his/her facial expression. The objective of this research is to develop highly intelligent machines or robots that are mind implemented. A Facial Expression Recognition system needs to solve the following problems: detection and location of faces in a cluttered scene, facial feature extraction, a...

Automatically detecting facial expressions has become an important research area. It plays a significant role in security, human-computer interaction and health-care. Yet, earlier work focuses on posed facial expression. In this paper, we propose a spontaneous facial expression recognition method based on effective feature extraction and facial expression recognition for Micro Expression analys...

Automated analysis of facial expressions paves the way for numerous next-generationcomputing tools including affective computing technologies (proactive and affective user interfaces), learner-adaptive tutoring systems, medical and marketing applications, etc. In this thesis, we propose machine learning algorithms that head toward solving two important but largely understudied problems in autom...

Automatic facial expression recognition has become a progressive research area since it plays a major role in human computer interaction. The facial expression recognition finds its major application in areas like social interaction and social intelligence. However it is not an easy task because the facial image, facial occlusion, face color/shape etc. is not easy to deal with. In this paper, v...

damage to musculoskeletal system of half of face cause loose symmetry of face, change in facial expression and effects on daily activities such as speaking, eating, drinking and cause social problems. the aim of this paper is to investigate rehabilitation treatment, which published in english language during last 60 decades and choose a suitable intervention for patients with facial nerve palsy...

objective angelman syndrome (as) is a genetically determined syndrome that has a unique behavioral phenotype. this syndrome is described as jerky ataxia and an unusual happy facial expression with pathological laughter. severe mental retardation is a unique feature of the syndrome, together with microbrachycephaly and abnormal electroencephalographic findings with or without clinical seizures. ...