Recognition of facial expressions across various actors, contexts, and recording conditions
in real-world videos involves identifying local facial movements. Hence, it is important to …

The real-time detection of traffic rule violators in a city-wide surveillance network is a highly
desirable but challenging task because it needs to perform computationally complex …

Spontaneous expression recognition refers to recognizing non-posed human expressions.
In literature, most of the existing approaches for expression recognition mainly rely on …

Mobile ad hoc networks (MANETs) have gained more interest from consumers and
academics than ever before thanks to the proliferation of wireless networks and the …

Detecting emotional states of human from videos is essential in order to automate the
process of profiling human behaviour, which has applications in a variety of domains, such …

Facial recognition is one of the most efficient mechanisms to identify an individual by using
facial attributes. Artificial Intelligence has been widely used to recognize facial attributes in …

Facial expression recognition (FER) is one of the important research contents in affective
computing. It plays a key role in many application fields of human life. As a most common …

Decision tree is a decision technology, which helps make decisions by using the tree
representation of options and their results. Decision trees are used to analyze and predict …

In this paper, we propose an approach for spontaneous expression recognition in the wild
using configural representation of facial action units. Since all configural features do not …

In order to study cognitive states and detect deficiencies in thinking, planning, and
judgement, automated cognitive assessment systems have been developed. Having access …