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

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 2023;15(10):1222 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
  3. Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
  4. Brin M, Trujillo P, Jia H, Cioe P, Huang M, Chen H, Qian X, Xu W, Schnall R. Pilot Testing of an mHealth App for Tobacco Cessation in People Living With HIV: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2023;12:e49558 View
  5. Horvath M, Pittman B, O’Malley S, Grutman A, Khan N, Gueorguieva R, Brewer J, Garrison K. Smartband-based smoking detection and real-time brief mindfulness intervention: findings from a feasibility clinical trial. Annals of Medicine 2024;56(1) View
  6. Smith A, Azeem M, Odhiambo C, Wright P, Diktas H, Upton S, Martin C, Froeliger B, Corbett C, Valafar H. Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step. Sensors 2024;24(14):4542 View