The omnipresence of numerous information sources () in our () daily lives () brings up new
alternatives () for emotion recognition in several domains including e-health, e-learning …

Emotions are multifaceted phenomena that affect our behaviour, perception, and cognition.
Increasing evidence indicates that induction mechanisms play a crucial role in triggering …

Abstract Human Action Recognition (HAR) has achieved a remarkable milestone in the field
of computer vision. Apart from its varied applications in human–computer interactions …

Currently, video behavior recognition is one of the most foundational tasks of computer
vision. The 2D neural networks of deep learning are built for recognizing pixel-level …

Affective computing is considered one of the important areas in the field of human and
computer interaction where software systems can recognize and understand human's …

High-quality online open courses have a wide audience. To further improve the quality of
these courses, it is critical to analyze the teaching behaviors in class, which are the …

Human behavior is an essential component of social interaction and is of great significance
to identify and analyze human behaviors in a variety of fields. Due to the rapid development …

Machine Learning and Convolutional Neural Networks (CNN) have significantly increased
the performance in image recognition and are being widely adopted to analyze faces based …

Over the last decade, there has been great debate about the introduction of AI to warfare.
However, that debate has been primarily about how to make sure that AI applications are not …

In affective computing, breathing has seen lighter use than the heart and EDA channels.
Several reasons have contributed to this, including difficulties in disambiguating affective …