Ubiquitous sensing from wearable devices in the wild holds promise for enhancing human
well-being, from diagnosing clinical conditions and measuring stress to building adaptive …

Introduction Forensic psychiatric patients receive treatment to address their violent and
aggressive behavior with the aim of facilitating their safe reintegration into society. On …

Understanding the complex nature of stress and its physiological manifestations stands as a
longstanding pursuit in modern psychology and healthcare. The limitation of existing deep …

Physiological and behavioral information obtained from wearable or mobile sensors has
been utilized to estimate self-reported stress levels. However, the reliance on self-reports for …

This paper presents a novel client-edge-cloud-based framework that integrates the learning
of task-invariant ECG feature representations from ultra-short ECG segments (< 10 sec) and …

Stress is one of the major concerns for students in recent days. The rapid changes in the
environment, lack of adoptability, life style habits, social media interactions, education …

Este TFG se centra en la clasificación de grabaciones de voz mediante técnicas de Machine
Learning. Usando el algoritmo de aprendizaje supervisado, se busca conseguir un modelo …

Background and objective: Work-related stress affects a large part of today's workforce and
is known to have detrimental effects on physical and mental health. Continuous and …

Данная статья представляет собой сравнительный анализ существующих подходов к
выбору датасетов в исследованиях, базирующихся на машинном обучении, по анализу …