The COVID-19 pandemic has had a profound impact on public mental health, leading to a
surge in loneliness, depression, and anxiety. And these public psychological issues …

In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …

Intelligent agents interacting with humans through conversation (such as a robot, embodied
conversational agent, or chatbot) need to receive feedback from the human to make sure …

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 …

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 …

Human facial analysis (HFA) has recently become an attractive topic for computer vision
research due to technological progress and mobile applications. HFA explores several …

In recent years, it is a difficult issue to integrate the deep cross-fertilization and interpretable
cognitive modeling methods from the basic theory of emotional psychology with deep …

Accurate sleep staging results can be used to measure sleep quality, providing a reliable
basis for the prevention and diagnosis of sleep-related diseases. The key to sleep staging is …

In recent years, a number of new research papers have emerged on the application of
neural networks in affective computing. One of the newest trends observed is the utilization …

The interest in automatic emotion recognition and the larger field of Affective Computing has
recently gained momentum. The current emergence of large, video-based affect datasets …