Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

Its well known that understanding human facial expressions is a key component in
understanding emotions and finds broad applications in the field of human-computer …

Humans are generally good at recognising emotions which are portrayed on another
person's face. Can the same be said for machines? In recent years, there has been a …

For many years, the emotion recognition task has remained one of the most interesting and
important problems in the field of human-computer interaction. In this study, we consider the …

Over the past three decades, there has been sustained research activity in emotion
recognition from faces, powered by the popularity of smart devices and the development of …

Methods and systems for performing sequence level predic tion of a video scene are
described. Video information in a video scene is represented as a sequence of features …

Emotion detection using deep learning techniques has gained significant attention due to its
wide-ranging applications in fields such as healthcare, marketing, human-computer …

According to the problems of the existing emotion recognition algorithms, which are not rich
in emotion information, weak in feature representation and not high in recognition accuracy …

In sequence level prediction of a sequence of frames of high dimensional data one or more
affective labels are provided at the end of the sequence. Each label pertains to the entire …

Methods and systems for performing sequence level prediction of a video scene are
described. Video information in a video scene is represented as a sequence of features …