Healthwalks: Sensing fine-grained individual health condition via mobility data
Can health conditions be inferred from an individual's mobility pattern? Existing research
has discussed the relationship between individual physical activity/mobility and well-being …
has discussed the relationship between individual physical activity/mobility and well-being …
Passive health monitoring using large scale mobility data
In this paper, we investigate the feasibility of using mobility patterns and demographic data
to predict hospital visits. We collect mobility traces from two thousand users for around two …
to predict hospital visits. We collect mobility traces from two thousand users for around two …
Fusing ambient and mobile sensor features into a behaviorome for predicting clinical health scores
DJ Cook, M Schmitter-Edgecombe - IEEE Access, 2021 - ieeexplore.ieee.org
Advances in machine learning and low-cost, ubiquitous sensors offer a practical method for
understanding the predictive relationship between behavior and health. In this study, we …
understanding the predictive relationship between behavior and health. In this study, we …
Decentralized attention-based personalized human mobility prediction
Human mobility prediction is essential to a variety of human-centered computing
applications achieved through upgrading of location-based services (LBS) to future-location …
applications achieved through upgrading of location-based services (LBS) to future-location …
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 …
Multi-stage activity inference for locomotion and transportation analytics of mobile users
Y Nakamura, Y Umetsu, JP Talusan… - Proceedings of the …, 2018 - dl.acm.org
In this paper, we, Ubi-NUTS Japan, introduce a multi-stage activity inference method that
can recognize a user's mode of locomotion and transportation using mobile device sensors …
can recognize a user's mode of locomotion and transportation using mobile device sensors …
[HTML][HTML] Classification of human walking context using a single-point accelerometer
Real-world walking data offers rich insights into a person's mobility. Yet, daily life variations
can alter these patterns, making the data challenging to interpret. As such, it is essential to …
can alter these patterns, making the data challenging to interpret. As such, it is essential to …
Social sensing for epidemiological behavior change
An important question in behavioral epidemiology and public health is to understand how
individual behavior is affected by illness and stress. Although changes in individual behavior …
individual behavior is affected by illness and stress. Although changes in individual behavior …
I'll be back: on the multiple lives of users of a mobile activity tracking application
Mobile health applications that track activities, such as exercise, sleep, and diet, are
becoming widely used. While these activity tracking applications have the potential to …
becoming widely used. While these activity tracking applications have the potential to …
[HTML][HTML] Collaborative multi-expert active learning for mobile health monitoring: architecture, algorithms, and evaluation
Mobile health monitoring plays a central role in the future of cyber physical systems (CPS)
for healthcare applications. Such monitoring systems need to process user data accurately …
for healthcare applications. Such monitoring systems need to process user data accurately …