Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review
Dietary intake, eating behaviors, and context are important in chronic disease development,
yet our ability to accurately assess these in research settings can be limited by biased …
yet our ability to accurately assess these in research settings can be limited by biased …
Assessing eating behaviour using upper limb mounted motion sensors: A systematic review
Wearable motion tracking sensors are now widely used to monitor physical activity, and
have recently gained more attention in dietary monitoring research. The aim of this review is …
have recently gained more attention in dietary monitoring research. The aim of this review is …
[HTML][HTML] A mobile just-in-time adaptive intervention for smoking cessation: pilot randomized controlled trial
Background Smartphone apps for smoking cessation could offer easily accessible, highly
tailored, intensive interventions at a fraction of the cost of traditional counseling. Although …
tailored, intensive interventions at a fraction of the cost of traditional counseling. Although …
Automatic food detection in egocentric images using artificial intelligence technology
ObjectiveTo develop an artificial intelligence (AI)-based algorithm which can automatically
detect food items from images acquired by an egocentric wearable camera for dietary …
detect food items from images acquired by an egocentric wearable camera for dietary …
Detecting eating episodes by tracking jawbone movements with a non-contact wearable sensor
Eating is one of the most fundamental human activities, and because of the important role it
plays in our lives, it has been extensively studied. However, an objective and usable method …
plays in our lives, it has been extensively studied. However, an objective and usable method …
SenseHunger: Machine learning approach to hunger detection using wearable sensors
The perception of hunger and satiety is of great importance to maintaining a healthy body
weight and avoiding chronic diseases such as obesity, underweight, or deficiency …
weight and avoiding chronic diseases such as obesity, underweight, or deficiency …
Multi-stage receptivity model for mobile just-in-time health intervention
A critical aspect of mobile just-in-time (JIT) health intervention is proper delivery timing,
which correlates with successfully promoting target behaviors. Despite extensive prior …
which correlates with successfully promoting target behaviors. Despite extensive prior …
Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic
Understanding the dynamics of mental health among undergraduate students across the
college years is of critical importance, particularly during a global pandemic. In our study, we …
college years is of critical importance, particularly during a global pandemic. In our study, we …
Recognizing eating from body-worn sensors: Combining free-living and laboratory data
M Mirtchouk, D Lustig, A Smith, I Ching… - Proceedings of the …, 2017 - dl.acm.org
Automated dietary monitoring solutions that can find when, what, and how much individuals
consume are needed for many applications such as providing feedback to individuals with …
consume are needed for many applications such as providing feedback to individuals with …
Reinforcement learning to send reminders at right moments in smartphone exercise application: A feasibility study
Just-in-time adaptive intervention (JITAI) has gained attention recently and previous studies
have indicated that it is an effective strategy in the field of mobile healthcare intervention …
have indicated that it is an effective strategy in the field of mobile healthcare intervention …