A Robust Cross-Platform Solution With the Sense2Quit System to Enhance Smoking Gesture Recognition: Model Development and Validation Study

Das, A., Feng, J., Brin, M., Cioe, P., Schnall, R., Huang, M.-C., & Xu, W. (2025). A Robust Cross-Platform Solution With the Sense2Quit System to Enhance Smoking Gesture Recognition: Model Development and Validation Study. Journal of Medical Internet Research, 27, e67186. https://doi.org/10.2196/67186
Authors:
Anarghya Das
Juntao Feng
Maeve Brin
Patricia Cioe
Rebecca Schnall
Ming-Chun Huang
Wenyao Xu
Affiliated Authors:
Maeve Brin
Rebecca Schnall
Columbia Affiliation:
Subjects:
Gestures (MeSH)
Mobile Applications (MeSH)
Smoking Cessation (MeSH)
Smoking (MeSH)
Author Keywords:
smoking cessation
confounding gestures
mobile health
wearable technology
real-time monitoring
people living with hiv
smoking gestures
smartwatch
mobile application
convolutional neural networks
vaping
e-cigarette
mobile phone
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Publication Type:
Article
Unique ID:
10.2196/67186
PMID:
40392581
DOI:
10.2196/67186
Journal:
JMIR: Journal of Medical Internet Research
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View Web of Science Record

Record Created: