A system for automatic quantification of cigarette smoking behavior

Joseph P. Stitt, Lynn T. Kozlowski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Cigarette smoking remains the principal source of preventable disease in the United States. Although most tobacco companies have developed filtered cigarettes to reduce the levels of some toxins, smokers have adapted their inhalation patterns to compensate for these newer "light" cigarettes. We describe a new system designed to unobtrusively monitor such elements of smoking behavior. The system used a video camera to capture movies of smoking behavior. Subsequently, image processing and analysis algorithms were applied to the movie frames to form a time-series, termed the smoking topography, which quantified various parameters of smoking behavior.

Original languageEnglish (US)
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages4771-4774
Number of pages4
DOIs
StatePublished - 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period8/30/069/3/06

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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