A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
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 …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Graph neural networks in IoT: A survey
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 …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms
Introduction Personalization is a much-discussed approach to improve adherence and
outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open …
outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open …
[HTML][HTML] Passive sensing of health outcomes through smartphones: systematic review of current solutions and possible limitations
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 …
size of a large variety of sensors, has expanded the role and capabilities of regular mobile …
[HTML][HTML] Digital biomarkers of social anxiety severity: digital phenoty** using passive smartphone sensors
Background Social anxiety disorder is a highly prevalent and burdensome condition.
Persons with social anxiety frequently avoid seeking physician support and rarely receive …
Persons with social anxiety frequently avoid seeking physician support and rarely receive …
Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from …
NC Jacobson, S Bhattacharya - Behaviour Research and Therapy, 2022 - Elsevier
Smartphones are capable of passively capturing persons' social interactions, movement
patterns, physiological activation, and physical environment. Nevertheless, little research …
patterns, physiological activation, and physical environment. Nevertheless, little research …
Digital phenoty** for mental health of college students: a clinical review
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 …
colleges are seeking digital solutions to increase access to care as classes shift to remote …
[HTML][HTML] Digital phenoty** of mental health using multimodal sensing of multiple situations of interest: A systematic literature review
Many studies have used Digital Phenoty** of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …
classic methods of mental health assessment and monitoring. This research area proposes …
Recurrent neural network for human activity recognition in embedded systems using ppg and accelerometer data
Photoplethysmography (PPG) is a common and practical technique to detect human activity
and other physiological parameters and is commonly implemented in wearable devices …
and other physiological parameters and is commonly implemented in wearable devices …
[HTML][HTML] The relation between passively collected GPS mobility metrics and depressive symptoms: systematic review and meta-analysis
Background The objective, unobtrusively collected GPS features (eg, homestay and
distance) from everyday devices like smartphones may offer a promising augmentation to …
distance) from everyday devices like smartphones may offer a promising augmentation to …