Respiratory rate is a fundamental vital sign that is sensitive to different pathological
conditions (eg, adverse cardiac events, pneumonia, and clinical deterioration) and stressors …

This review is dedicated to the advanced applications of robotic technologies in the
industrial field. Robotic solutions in areas with non-intensive applications are presented, and …

This study uses a multimodal data analysis approach to provide a more continuous and
objective insight into how students' engagement unfolds and impacts learning …

Large-scale datasets have played indispensable roles in the recent success of face
generation/editing and significantly facilitated the advances of emerging research fields …

Emotion recognition using electroencephalogram (EEG) signals is getting more and more
attention in recent years. Since the EEG signals are noisy, non-linear and have non …

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 …

Emotion is interpreted as a psycho-physiological process, and it is associated with
personality, behavior, motivation, and character of a person. The objective of affective …

Smart wearables, equipped with sensors monitoring physiological parameters, are
becoming an integral part of our life. In this work, we investigate the possibility of utilizing …

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 …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …