From personalized medicine to population health: a survey of mHealth sensing techniques
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …
behavioral and health-related information from individuals and to provide timely intervention …
Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
Self-supervised pretraining and transfer learning enable\titlebreak flu and covid-19 predictions in small mobile sensing datasets
MA Merrill, T Althoff - Conference on Health, Inference, and …, 2023 - proceedings.mlr.press
Detailed mobile sensing data from phones and fitness trackers offer an opportunity to
quantify previously unmeasurable behavioral changes to improve individual health and …
quantify previously unmeasurable behavioral changes to improve individual health and …
SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks
Sleep behavior significantly impacts health and acts as an indicator of physical and mental
well-being. Monitoring and predicting sleep behavior with ubiquitous sensors may therefore …
well-being. Monitoring and predicting sleep behavior with ubiquitous sensors may therefore …
Kirigami: Lightweight speech filtering for privacy-preserving activity recognition using audio
Audio-based human activity recognition (HAR) is very popular because many human
activities have unique sound signatures that can be detected using machine learning (ML) …
activities have unique sound signatures that can be detected using machine learning (ML) …
Quantifying the causal effect of individual mobility on health status in urban space
How does individual mobility in the urban environment impact their health status? Previous
works have explored the correlation between human mobility behaviour and individual …
works have explored the correlation between human mobility behaviour and individual …
A data-driven context-aware health inference system for children during school closures
Many countries have implemented school closures due to the outbreak of the COVID-19
pandemic, which has inevitably affected children's physical and mental health. It is vital for …
pandemic, which has inevitably affected children's physical and mental health. It is vital for …
ODSearch: Fast and Resource Efficient On-device Natural Language Search for Fitness Trackers' Data
R Rawassizadeh, Y Rong - Proceedings of the ACM on Interactive …, 2023 - dl.acm.org
Mobile and wearable technologies have promised significant changes to the healthcare
industry. Although cutting-edge communication and cloud-based technologies have allowed …
industry. Although cutting-edge communication and cloud-based technologies have allowed …
Demand-driven Urban Facility Visit Prediction
Predicting citizens' visiting behaviors to urban facilities is instrumental for city governors and
planners to detect inequalities in urban opportunities and optimize the distribution of …
planners to detect inequalities in urban opportunities and optimize the distribution of …
Urban knowledge graph aided mobile user profiling
Nowadays, the explosive growth of personalized web applications and the rapid
development of artificial intelligence technology have flourished the recent research on …
development of artificial intelligence technology have flourished the recent research on …