This paper proposes an automatic facial expression recognition system, which uses new methods in both face detection and feature extraction. In this system, considering that facial expressions are related to a small set of muscles and limited ranges of motions, the facial expressions are recognized by these changes in video sequences. First, the differences between neutral and emotional states ...

In recent years there has been a growing interest in improving aspects of the interaction between humans and computers. The facial expressions play an essential role in social interactions with other human beings. As indicated by Mehrabian [1], in face-to-face human communication only 7% of the communicative message is due to linguistic language, 38% is due to paralanguage, while 55% of it is t...

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...

Problem statement: Facial expression recognition has been improved recently and it has become a significant issue in diagnostic and medical fields, particularly in the areas of assistive technology and rehabilitation. Apart from their usefulness, there are some problems in their applications like peripheral conditions, lightening, contrast and quality of video and images. Approach: Facial Actio...

Facial Expression Recognition has been a very important topic for research in computer pattern recognition and currently there is no method of facial Expression recognition system that have 100% recognition rate. So research issues are to improve recognition rate by improving the pre-processing of datasets, improving the feature extraction method and using the best classifier for face recogniti...

Human being often uses a facial expression virtually to convey a lot of evident information visually rather than verbally without effort or delay and also can recognize a hundred of faces in a day through their learned ability and identify familiar faces even after some separation of time. The question arise here: Is it possible to make the computer system intelligent for reliable face detectio...

Personal use of this material is permitted. However, permission to reprinttrepublish this material for advertising or promotional purposes or for creating new collective w orks for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE. Abstract This paper presents an architecture for interactive storytelli...

Speaking avatars are present in many Human Computer Interaction (HCI) applications. Their importance lies in communicative goals which entail interaction within other avatars in virtual worlds or in marketing where they have become useful in customer push strategies. Generating automatic and plausible animations from speech cues have become a challenge. We present BodySpeech, an automatic syste...

SmartKom is a multimodal dialogue system that combines speech, gesture, and facial expressions for input and output. SmartKom provides an anthropomorphic and affective user interface through its personification of an interface agent. Understanding of spontaneous speech is combined with video-based recognition of natural gestures and facial expressions. One of the major scientific goals of Smart...

generally effortless and effective. We exchange glances, take turns speaking and make facial and manual gestures to achieve the goals of the dialogue. This paper describes an action composition and selection architecture of characters capable of full-duplex, real-time face-to-face interaction with a human. This architecture is part of a computational model of psychosocial dialogue skills, calle...