As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Given the high prevalence and associated cost of chronic pain, it has a significant impact on
individuals and society. Improvements in the treatment and management of chronic pain …

While automatic monitoring and coaching of exercises are showing encouraging results in
non-medical applications, they still have limitations such as errors and limited use contexts …

The problem of continuous emotion recognition has been the subject of several studies. The
proposed affective computing approaches employ sequential machine learning algorithms …

Chronic Low Back Pain (CLBP) afflicts millions globally, significantly impacting individuals'
well-being and imposing economic burdens on healthcare systems. While artificial …

Learning regression-based machine learning models for computer vision problems is a
challenging task due to noisy features, variation in pose and illumination, occlusion, etc …

Assessing loss event frequencies (LEF) of smart grid cyber threats is essential for planning
cost-effective countermeasures. Factor Analysis of Information Risk (FAIR) is a well-known …

This work in the field of developmental cognitive robotics aims to devise a new domain
bridging between reinforcement learning and imitation learning, with a model of the intrinsic …

In the recent years, there has been a shift in facial behavior analysis from the laboratory-
controlled conditions to the challenging in-the-wild conditions due to the superior …