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

Formative Evaluation of Digital Health Interventions (1732) Fitness Trackers and Smart Pedometers/Accelerometers (506) mHealth for Data Collection and Research (745) mHealth for Wellness, Behavior Change and Prevention (2451) Wearable Devices and Sensors (703) Behavior Change (590) Smoking Cessation (465)

Published on in Vol 5 , No 2 (2021) :February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20464, first published .
Quantification of Smoking Characteristics Using Smartwatch Technology: Pilot Feasibility Study of New Technology

Quantification of Smoking Characteristics Using Smartwatch Technology: Pilot Feasibility Study of New Technology

Quantification of Smoking Characteristics Using Smartwatch Technology: Pilot Feasibility Study of New Technology

Authors of this article:

Casey Anne Cole 1 Author Orcid Image ;   Shannon Powers 2, 3 Author Orcid Image ;   Rachel L Tomko 4 Author Orcid Image ;   Brett Froeliger 2, 5 Author Orcid Image ;   Homayoun Valafar 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Wadkin R, Allen C, Fearon I. E‐cigarette puffing topography: The importance of assessing user behaviour to inform emissions testing. Drug Testing and Analysis 2022 View
  2. Odhiambo C, Ablonczy L, Wright P, Corbett C, Reichardt S, Valafar H. Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study. JMIR Human Factors 2023;10:e42714 View