This paper presents a system for the automated inference of complex mental states from observed facial expressions and head gestures in video. Head actions are identified from image-based pose estimation. Facial actions, including asymmetric ones, are extracted from motion, color and shape parameters. A multi-level dynamic Bayesian network classifier models complex mental states as a sequence o...

Cognitive goals – i.e. the intention to utter a sentence and to produce co-speech facial and hand-arm gestures – as well as the sensorimotor realization of the intended speech, co-speech facial, and co-speech hand-arm actions are modulated by the emotional state of the speaker. In this review paper it will be illustrated how cognitive goals and sensorimotor speech, co-speech facial, and co-spee...

Facial Expression recognition is a term which refers to recognizing the mode of the user according to the facial movements and other facial gestures. A lot of previous researches have been already submitted in the same work with different accuracy rate. The reserch work is try to enhance the accuracy rate by improving the feature extraction methods and classification using Neural Network, along...

This focus group study explored the social interaction experiences and strategies of 12 adults with Moebius Syndrome, a rare congenital condition characterized by facial paralysis. Content analysis revealed five themes of social functioning: social engagement/disengagement; resilience/sensitivity; social support/stigma; being understood/misunderstood; and public awareness/lack of awareness of M...

There exists significant variation between sign language recognition processes across the world, although there are many similarities. Pre-processing, feature extraction and classification are the three major steps involved in the sign language recognition process. An analysis of scientific literature indicates the potential of various methods in achieving significantly high accuracy in image r...

Virtual illustration of a human face is essential to enhance the mutual interaction in a cyber community. In this paper we propose a solution to solve two bottlenecks in facial analysis and synthesis for an interactive system of human face cloning for non-expert users of computer games. Tactical maneuvers of the gamer make single camera acquisition system unsuitable to analyze and track the fac...

The emotional facial expression is an important element in human communication, along with other forms of non-verbal communication, such as gestures and postures. The human facial expression, with its cunning and moment movements, carries an amazing amount of information that can reflect emotional feelings. Observing people’s facial expressions can help a person understand their emotions. The n...

Facial expression recognition (anger, sad, happy, disgust, surprise, fear expressions) is application of advanced object detection, pattern recognition and classification task. Facial expression is one of the most powerful and natural means for human beings to show their emotions. It has found its applications in humancomputer interaction (HCI), robotics, border security systems, forensics, mac...

Recently, some studies have revealed that facial gestures can play an important role in teasing out the meaning of interrogative sentence types in a particular language (Srinivasan and Massaro, 2003; BorràsComes and Prieto, 2011; among others). However, less is known about potential cross-linguistic differences. This paper investigates the interaction between facial gestures and intonation in t...

Primate facial expressions are widely accepted as underpinned by reflexive emotional processes and not under voluntary control. In contrast, other modes of primate communication, especially gestures, are widely accepted as underpinned by intentional, goal-driven cognitive processes. One reason for this distinction is that production of primate gestures is often sensitive to the attentional stat...