This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2754) Registered Report (528) Smoking Cessation (521) Ecological Momentary Assessment (EMA) (297) mHealth for Data Collection and Research (917) Mobile Health (mhealth) (2777) Prevention and Health Promotion (899)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28159, first published .
Characterizing and Modeling Smoking Behavior Using Automatic Smoking Event Detection and Mobile Surveys in Naturalistic Environments: Observational Study

Characterizing and Modeling Smoking Behavior Using Automatic Smoking Event Detection and Mobile Surveys in Naturalistic Environments: Observational Study

Characterizing and Modeling Smoking Behavior Using Automatic Smoking Event Detection and Mobile Surveys in Naturalistic Environments: Observational Study

Authors of this article:

DongHui Zhai1, 2 Author Orcid Image ;   Ruud van Stiphout3 Author Orcid Image ;   Giuseppina Schiavone3 Author Orcid Image ;   Walter De Raedt2 Author Orcid Image ;   Chris Van Hoof1, 2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

DongHui Zhai   1, 2 , PhD ;   Ruud van Stiphout   3 , PhD ;   Giuseppina Schiavone   3 , PhD ;   Walter De Raedt   2 , MSc ;   Chris Van Hoof   1, 2, 3 , PhD

1 Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium

2 imec, Leuven, Belgium

3 imec at OnePlanet Research Center, Wageningen, Netherlands

Corresponding Author: