Studies in psychology have shown that the dynamics of emotional expressions play an
important role in face emotion recognition in humans. Motivated by these studies, in this …

This paper proposes a new approach to model the temporal dynamics of a sequence of
facial expressions. To this purpose, a sequence of Face Image Descriptors (FID) is regarded …

Facial expressions have always been defined as the most efficient way to characterize
emotions. Therefore, they have been used in various fields of applications such as human …

We present a novel facial expression recognition framework using audio-visual information
analysis. We propose to model the cross-modality data correlation while allowing them to be …

Automatic facial expression analysis aims to analyse human facial expressions and classify
them into discrete categories. Methods based on existing work are reliant on extracting …

We address the problem of human emotion identification from still pictures taken in semi-
controlled environments. Histogram of Oriented Gradient (HOG) descriptors are considered …

Automatic emotion recognition in the wild video datasets is a very challenging problem
because of the inter-class similarities among different facial expressions and large intra …

This paper details the authors' efforts to push the baseline of emotion recognition
performance on the Geneva Multimodal Emotion Portrayals (GEMEP) Facial Expression …

As one of the key techniques for futuristic man-machine interface, facial expression analysis
has received much attention in recent years. This paper proposes a hierarchical approach to …

Abstract Machine analysis of facial emotion recognition is a challenging and an innovative
research topic in human–computer interaction. Though a face displays different facial …