Development of a Multisensory Wearable System for Monitoring Cigarette Smoking Behavior in Free-Living Conditions

@article{Imtiaz2017DevelopmentOA,
  title={Development of a Multisensory Wearable System for Monitoring Cigarette Smoking Behavior in Free-Living Conditions},
  author={Masudul H. Imtiaz and Raul I. Ramos-Garcia and Volkan Yusuf Senyurek and Stephen Tiffany and Edward S. Sazonov},
  journal={Electronics},
  year={2017},
  volume={6}
}
This paper presents the development and validation of a novel multi-sensory wearable system (Personal Automatic Cigarette Tracker v2 or PACT2.0) for monitoring of cigarette smoking in free-living conditions. The contributions of the PACT2.0 system are: (1) the implementation of a complete sensor suite for monitoring of all major behavioral manifestations of cigarette smoking (lighting events, hand-to-mouth gestures, and smoke inhalations); (2) a miniaturization of the sensor hardware to enable… 
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23 Citations
Background Citations
6
Methods Citations
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23 Citations

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Citation Type

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The proposed method identified smoking events from the cigarette lighter data and estimated puff counts by detecting hand-to-mouth gestures in the IMU data by a Support Vector Machine (SVM) classifier and suggests that an IMU and instrumented lighter may potentially be used in studies of smoking behavior under natural conditions.
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TLDR
Results validate the proof-of-concept that, although further research is necessary for performance improvement, characteristic changes in heart rate parameters could be a useful indicator of cigarette smoking even under free-living conditions.
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A smart IoT charger based on a Raspberry Pi (RPi) is presented in this paper, which can serve to recharge the sensor battery, update the sensor timestamp, and extract data from the sensor system and instant upload of sensor data to a cloud server to store and process sensor signals.
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TLDR
The primary objective of the study is to reveal the contextual and physiological pattern of different smoking behaviours using wearable sensors and mobile phones, and to characterise the types of smokers and triggering events.
Wearable Egocentric Camera as a Monitoring Tool of Free-living Cigarette Smoking: A Feasibility Study.
TLDR
A wearable camera-based sensor may facilitate objective monitoring of cigarette smoking, categorization of smoking environments, and identification of behavioral metrics of smoking in free-living conditions.
Cigarette Smoke Exposure Computation using Bioimpedance Sensor
TLDR
This paper is the first to assess the suitability of a bio-impedance sensor for measurement of the smoke exposure metrics from breathing, and indicates the potential use of bio-impacted sensor for Measurement of Smoke exposure metrics.
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TLDR
SEMG improved smoking detection results when combined with IMU signals without using an additional device, and showed that using only sEMG signals would not provide superior cigarette smoking detection performance relative to IMU signal.
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