Background and objectives Optical coherence tomography (OCT) has ushered in a
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …

Artificial intelligence (AI) techniques are increasingly used in computer-aided diagnostic
tools in medicine. These techniques can also help to identify hypertension (HTN) in its early …

Deep learning techniques have drawn considerable interest in emotion recognition due to
recent technological developments in healthcare analytics. Automatic patient emotion …

This paper presents our approach for the VA (Valence-Arousal) estimation task in the
ABAW6 competition. We devised a comprehensive model by preprocessing video frames …

Understanding psychology is an important task in modern society which helps predict
human behavior and provide feedback accordingly. Monitoring of weak psychological and …

Emotion AI is the ability of computers to understand human emotional states. Existing works
have achieved promising progress, but two limitations remain to be solved: 1) Previous …

Multi-modal emotion recognition in conversation is challenging because of the difficulty to
jointly leverage the information from heterogeneous text, acoustic, and visual modalities …

Speech emotion recognition (SER) is widely applicable today, benefiting areas such as
entertainment, robotics, and healthcare. This emotional understanding enhances user …

Abstract Background and Objective Sleep staging is an essential step for sleep disorder
diagnosis, which is time-intensive and laborious for experts to perform this work manually …

Human reliability is an increasingly important area in various fields for accident prevention.
Monitoring human biological parameters, such as metabolic agents, through techniques like …