Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …

In the recent year, state-of-the-art for facial micro-expression recognition have been
significantly advanced by deep neural networks. The robustness of deep learning has …

Facial expression recognition (FER) is increasingly gaining importance in various emerging
affective computing applications. In practice, achieving accurate FER is challenging due to …

Micro-expression spotting is a fundamental step in the micro-expression analysis. This
paper proposes a novel network based convolutional neural network (CNN) for spotting …

Micro-expression recognition (MER) is a growing field of research which is currently in its
early stage of development. Unlike conventional macro-expressions, micro-expressions …

Recognizing spontaneous micro-expression in video sequences is a challenging problem.
In this paper, we propose a new method of small scale spatio-temporal feature learning. The …

Micro-expression recognition has become challenging, as it is extremely difficult to extract
the subtle facial changes of micro-expressions. Recently, several approaches have …

Over the last few years, automatic facial micro-expression analysis has garnered increasing
attention from experts across different disciplines because of its potential applications in …

In high-stake situations, the micro-expressions reveal the hidden emotions of a person and it
has potential applications in many areas. The recognition of such short-lived subtle …