ArticleSensors (Basel, Switzerland)2019
Cigarette Smoking Detection with An Inertial Sensor and A Smart Lighter.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Wearable Sensors for Monitoring of Cigarette Smoking in Free-Living: A Systematic Review.Sensors (Basel, Switzerland) · 2019Pooled it
- Smartband-based smoking detection and real-time brief mindfulness intervention: findings from a feasibility clinical trial.Annals of medicine · 2024Trial
- Feasibility and efficacy of a real-time smoking intervention using wearable technology.PLOS digital health · 2025Article
- Article
- Smoking-related gestures and anxiety: a preliminary study in treatment-seeking smokers.Frontiers in public health · 2025Article
- Sensors for Smoking Detection in Epidemiological Research: Scoping Review.JMIR mHealth and uHealth · 2024Article
- HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024Article
- Towards Predicting Smoking Events for Just-in-time Interventions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2022Article
- Smoking Cessation System for Preemptive Smoking Detection.IEEE internet of things journal · 2022Article
- Real-time prediction of smoking activity using machine learning based multi-class classification model.Multimedia tools and applications · 2022Article
- Using Smartwatches to Detect Face Touching.Sensors (Basel, Switzerland) · 2021Article
- Article
- Quantification of Smoking Characteristics Using Smartwatch Technology: Pilot Feasibility Study of New Technology.JMIR formative research · 2021Article
- Wearable Egocentric Camera as a Monitoring Tool of Free-Living Cigarette Smoking: A Feasibility Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Article
- Computation of Cigarette Smoke Exposure Metrics From Breathing.IEEE transactions on bio-medical engineering · 2020Article
- A CNN-LSTM neural network for recognition of puffing in smoking episodes using wearable sensors.Biomedical engineering letters · 2020Article
- A Report on Smoking Detection and Quitting Technologies.International journal of environmental research and public health · 2020Review
- SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2020Article
- An electronic, smart lighter to measure cigarette smoking: A pilot study to assess feasibility and initial validity.Addictive behaviors · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
In recent years, a number of wearable approaches have been introduced for objective monitoring of cigarette smoking based on monitoring of hand gestures, breathing or cigarette lighting events. However, non-reactive, objective and accurate measurement of everyday cigarette consumption in the wild remains a challenge. This study utilizes a wearable sensor system (Personal Automatic Cigarette Tracker 2.0, PACT2.0) and proposes a method that integrates information from an instrumented lighter and a 6-axis Inertial Measurement Unit (IMU) on the wrist for accurate detection of smoking events. The PACT2.0 was utilized in a study of 35 moderate to heavy smokers in both controlled (1.5⁻2 h) and unconstrained free-living conditions (~24 h). The collected dataset contained approximately 871 h of IMU data, 463 lighting events, and 443 cigarettes. The proposed method identified smoking events from the cigarette lighter data and estimated puff counts by detecting hand-to-mouth gestures (HMG) in the IMU data by a Support Vector Machine (SVM) classifier. The leave-one-subject-out (LOSO) cross-validation on the data from the controlled portion of the study achieved high accuracy and F1-score of smoking event detection and estimation of puff counts (97%/98% and 93%/86%, respectively). The results of validation in free-living demonstrate 84.9% agreement with self-reported cigarettes. These results suggest that an IMU and instrumented lighter may potentially be used in studies of smoking behavior under natural conditions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.