Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

With the development of Internet of Things (IoT), data are increasingly appearing at the edge
of a network. Processing tasks at the network edge can effectively solve the problems of …

Current artificial intelligence systems for determining a person's emotions rely heavily on lip
and mouth movement and other facial features such as eyebrows, eyes, and the forehead …

The dramatic impact of the COVID-19 pandemic has resulted in the closure of physical
classrooms and teaching methods being shifted to the online medium. To make the online …

Abstract Automatic Facial Expression Recognition (FER) has attracted increasing attention
in the last 20 years since facial expressions play a central role in human communication …

Sentiment identification on facial expression is an interesting study domain with applications
in various disciplines, including security, health, and human-machine interfaces. The main …

Emotion recognition has opened up many challenges, which lead to various advances in
computer vision and artificial intelligence. The rapid development in this field has …

It is critical for intelligent vehicles to be capable of monitoring the health and well-being of
the drivers they transport on a continuous basis. This is especially true in the case of …

Automatic recognition of facial expressions in the wild is a challenging problem and has
drawn a lot of attention from the computer vision and pattern recognition community. Since …

In intelligent vehicles, it is essential to monitor the driver's condition; however, recognizing
the driver's emotional state is one of the most challenging and important tasks. Most …