Automatic analysis of facial gestures is an area of intense interest in the human-computer interaction design community. A robust way to discern facial gestures in images of faces, insensitive to scale, pose, and occlusion, is still the key research challenge in the automatic facial-expression analysis domain. A practical method recognized as the most promising one for addressing this problem i...

Facial features play an important role in expressing grammatical information in signed languages, including American Sign Language (ASL). Gestures such as raising or furrowing the eyebrows are key indicators of constructions such as yes-no questions. Periodic head movements (nods and shakes) are also an essential part of the expression of syntactic information, such as negation (associated with...

Imitation of facial gestures requires the cognitive system to equate the seen-but-unfelt with the felt-but-unseen. Rival accounts propose that this "correspondence problem" is solved either by an innate supramodal mechanism (the active intermodal-mapping, or AIM, model) or by learned, direct links between the corresponding visual and proprioceptive representations of actions (the associative se...

In the recent past, there has been an increasing trend to use blind source separation (BSS) or independent component analysis (ICA) algorithms for biomedical data. This paper reviews the concept of ICA and demonstrates its usefulness and limitations in the context of surface electromyograms (sEMG) related to hand movements and facial muscles. In the first experiment ICA has been used to separat...

This paper describes two sets of experiments that investigate facial expressions and some issues when using body gestures as communication metaphors in interfaces for e-Business applications. The purpose was to obtain an overall feedback for the use of these types of communication metaphors in e-Commerce. The first set of experiments involved three tasks with a short description of three produc...

Emotions are an increasingly important factor in Human-Computer Interaction. So, extracting emotions from multimedia contents is becoming one of the most challenging research topics in Computer Science. Facial expressions, posture, gestures, speech, emotive changes of physical parameter (e.g. body temperature, blush and changes in the tone of the voice) can reflect changes in the user's emotion...

American Sign Language (ASL) is the natural and living language of the Deaf Community in North America. In addition to hand gestures, facial expressions are a key component of communicating in ASL. We present a method for reproducing facial expressions through computer graphic animation. Directions for further research are suggested.

In the field of image processing it is very interesting to recognize the human gesture for general life applications. Human gestures can be identified by observing the different movements of eyes, mouth, nose and hands. This paper introduces a simple architecture for human facial expression recognition .The approach is based on texture based emotion recognition using facial expressions and usin...

We describe an implemented system which automatically generates and animates conversations between multiple human-like agents with appropriate and synchronized speech, intonation, facial expressions, and hand gestures. Conversations are created by a dialogue planner that produces the text as well as the intonation of the utterances. The speaker/listener relationship, the text, and the intonatio...

Storytellers do not always tell the story the same way. They observe their ”audience”, see their reactions and adapt the way, the gestures, the posture and the content of the story, to better respond to the audience’s reactions. Clearly, this adaptation is however not only in the content of the story but also on the way the story is told, thus the facial expressions and the gestures of the stor...