background: we determined the levels of subjective and observer drowsiness and facial dynamics changes. methods: this experimental study was done in the virtual reality laboratory of khaje-nasir toosi university of technology in 2015. facial dynamics changes like changes in eyes, mouth and eyebrows were surveyed on twenty-five drivers in 2015bykss (karolinska sleepiness scale) and ord (observer...

background : major injuries and death in accidents have roots in drowsiness. sleepiness is a main result of insufficient sleep. it is vital to explore drowsiness and its level. there are various sorts of methods in the forms of subjective and objective approaches. the goal of this study was to detect the association of subjective and interpretive drowsiness with facial dynamic changes. methods:...

BACKGROUND Major injuries and death in accidents have roots in drowsiness. Sleepiness is a main result of insufficient sleep. It is vital to explore drowsiness and its level. There are various sorts of methods in the forms of subjective and objective approaches. The goal of this study was to detect the association of subjective and interpretive drowsiness with facial dynamic changes. METHODS ...

Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...

Functional magnetic resonance imaging (fMRI) was used to compare brain activation to static facial displays versus dynamic changes in facial identity or emotional expression. Static images depicted prototypical fearful, angry and neutral expressions. Identity morphs depicted identity changes from one person to another, always with neutral expressions. Emotion morphs depicted expression changes ...

Abstract— This paper presents a new framework to describe individual facial expression spaces, particularly addressing the dynamic diversity of facial expressions that appear as an exclamation or emotion, to create a unique space for each person. We name this framework Facial Expression Spatial Charts (FESCs). The FESCs are created using Self– Organizing Maps (SOMs) and Fuzzy Adaptive Resonance...

This paper first summarizes our unique method to synthesize facial caricatures using eigenspaces. This method can handle shape features of each facial part and arrangement features of facial parts independently. Then, in order to provide a dynamic lifelike agent based on a synthesized facial caricature, a method to represent mouth shape changes corresponding to speech and a method to give facia...