In American Sign Language (ASL) the structure of signed sentences is conveyed by grammatical markers which are represented by facial feature movements and head motions. Without recovering grammatical markers, a sign language recognition system cannot fully reconstruct a signed sentence. However, this problem has been largely neglected in the literature. In this paper, we propose to use a 2-laye...

Animated pedagogical agents with characteristics such as facial expressions, gestures, and human emotions, under an interactive user interface are attractive to students and have high potential to promote students’ learning. This study proposes a convenient method to add an embodied empathic avatar into a computer-aided learning program; learners express their emotions by mouse-clicking while r...

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 is through a facial-gesture analysis of multiple views of the face. Yet, current systems for automatic facial-gesture anal...

One of the important non-verbal human communication along with other form like postures and gestures, is emotional facial expression. Facial expression, carries a huge amount of information which represent the emotional feelings of humanity, and by observing people’s facial expressions with its cunning and moment movements can help us to understand what the face tell us because its reflect an i...

In this demonstrator we present the Furhat robot head. Furhat is a highly human-like robot head in terms of dynamics, thanks to its use of back-projected facial animation. Furhat also takes advantage of a complex and advanced dialogue toolkits designed to facilitate rich and fluent multimodal multiparty human-machine situated and spoken dialogue. The demonstrator will present a social dialogue ...

Face-to-face communications between humans involve emotions, which often are unconsciously conveyed by facial expressions and body gestures. Intelligent human-machine interfaces, for example in cognitive robotics, need to recognize emotions. This paper addresses facial expressions and their neural correlates on the basis of a model of the visual cortex: the multi-scale line and edge coding. The...

Analysis and recognition of facial expression is an important aspect to implement the intelligent man -machine interface. It is also a significant component of artificial intelligence and research of emotion computing. It plays a significant role for illiterate and visually challenged users to access information. Mode of human-computer interaction speech, text, gestures, facial expressions, sym...

This paper examines how our existing HUGE architecture aids fulfilling requirements emerging from the everyday expansion of new multimedia applications. Trends in humancomputer interaction stream towards creating natural user interfaces which apply rules from human-human interaction. Virtual humans who look natural, and behave believably fit perfectly in the concept of creating natural user int...

In recent years, artificial intelligence has proved its potential in many fields, especially computer vision. Facial recognition is one of the most essential tasks field vision with various prospective applications from academic research to service. this paper, we propose an efficient deep learning approach facial recognition. Our utilizes architecture ArcFace model based on backbone MobileNet ...