In the modern world, stress has become a pervasive concern that affects individuals'
physical and mental well-being. To address this issue, many wearable devices have …

Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …

Background: Depressive and manic episodes within bipolar disorder (BD) and major
depressive disorder (MDD) involve altered mood, sleep, and activity, alongside …

This review article explores the transformative advancements in wearable biosignal sensors
powered by machine learning, focusing on four notable biosignals: electrocardiogram …

Background Students usually encounter stress throughout their academic path. Ongoing
stressors may lead to chronic stress, adversely affecting their physical and mental well …

Multimodal learning analytics (MMLA) has emerged as an encompassing approach to data
collection, facilitating the analysis of student interactions across a variety of resources …

In this study, we investigated the potential of electrochemical skin conductance (ESC)
measurements gathered from home-based devices to detect circadian-like patterns. We …

Federated learning (FL) enables collaborative model training while preserving data privacy,
making it suitable for decentralized human-centered AI applications. However, a significant …

Stress affects individual of all ages as a regular part of life, but excessive and chronic stress
can lead to physical and mental health problems, decreased productivity, and reduced …

Introduction Current stress detection methods concentrate on identification of stress and non-
stress states despite the existence of various stress types. The present study performs a …