Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Introduction Personalization is a much-discussed approach to improve adherence and
outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open …

Background: Technological advancements, together with the decrease in both price and
size of a large variety of sensors, has expanded the role and capabilities of regular mobile …

Background Social anxiety disorder is a highly prevalent and burdensome condition.
Persons with social anxiety frequently avoid seeking physician support and rarely receive …

Many studies have used Digital Phenoty** of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …

Experiencing continued growth in demand for mental health services among students,
colleges are seeking digital solutions to increase access to care as classes shift to remote …

Photoplethysmography (PPG) is a common and practical technique to detect human activity
and other physiological parameters and is commonly implemented in wearable devices …

Smartphones are capable of passively capturing persons' social interactions, movement
patterns, physiological activation, and physical environment. Nevertheless, little research …

Context sensing on smartphones is often used to understand user behaviour. Amongst the
many available sensors, the collection of text is crucial due to its richness. However …