BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

Introduction Smart watches have the potential to support health in everyday living by:
enabling self-monitoring of personal activity; obtaining feedback based on activity measures; …

An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …

Background: Several studies have recently reported on the correlation between objective
behavioral features collected via mobile and wearable devices and depressive mood …

Smart device industry allows developers and designers to embed different sensors,
processors, and memories in small‐size electronic devices. Sensors are added to enhance …

The increasing usage of smart wearable devices has made an impact not only on the
lifestyle of the users, but also on biological research and personalized healthcare services …

Stress has become one of the most prominent problems of modern societies and a key
contributor to major health issues. Dealing with stress effectively requires detecting it in real …

Physiological, behavioral, and psychological changes associated with neuropsychiatric
illness are reflected in several related signals, including actigraphy, location, word …

Wearables like smartwatches or wrist bands equipped with pervasive sensors enable us to
monitor our physiological signals. In this study, we address the question whether they can …

Wearable devices equipped with sensors popularly used for health monitoring are capable
of accumulating motion data providing objective measures of various physical activity and …