Emotion recognition is one of the trending research fields. It is involved in several
applications. Its most interesting applications include robotic vision and interactive robotic …

Human Emotion detection from image is one of the most powerful and challenging research
task in social communication. Deep learning (DL) based emotion detection gives …

As the human–robot interaction is catching eye day by day with the increase in need of
automation in every field, personal robots are increasing in every area which may be coping …

Recommender systems have been based on context and content, and now the
technological challenge of making personalized recommendations based on the user …

Human emotions are important features in human communication. It is also equally
important to recognize and classify emotions using computers, which drives this research to …

The purpose of this research is to use a cross-dataset approach to construct an EEG-based
emotion recognition system. So far, numerous modeling strategies for emotion recognition …

The advancements of the Internet of Things (IoT) and voice-based multimedia applications
have resulted in the generation of big data consisting of patterns, trends and associations …

Human beings while communicating use emotions as a medium to understand the other
person. Face being the primary source of contact while communicating and being the most …

In this paper, we propose a deep learning framework, TSception, for emotion detection from
electroencephalogram (EEG). TSception consists of temporal and spatial convolutional …

Determining the psychophysiological state of people has been a significant issue in many
fields, such as the adaptation of disabled people to social life. Recently, various …