An audio-based hierarchical smoking behavior detection system based on a smart neckband platform

Jinqi Cui, Liang Wang, Tao Gu, Xianping Tao, Jian Lu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

Abstract

Smoking behavior detection has attracted much research interest for its significant impact on smokers' physical and mental health. Existing research has shown the potential of using wearable devices for fine-grained smoking puff and session detection by detecting a smoker's content of breathing, lighter usage, breathing, and gesture patterns. However, the existing systems are complex, and they are usually vulnerable to confounding activities and diversity of smoking behavior. To address these limitations, this paper proposes the design and implementation of a simple and compact smart neckband device for smoking detection. The device is equipped with both passive and active acoustic sensors to detect smoking sessions and puffs. We propose a hierarchical processing framework in which the lower-layer detects the sub-movements, i.e., lighter usage, hand-to-mouth gesture and deep breathing, from perceived audio data; and the higher-layer, based on the lower-layers detection results, detects smoking puffs and sessions using temporal sequence analysis techniques. Real-world experiments suggest our system can accurately detect smoking puffs and sessions with F1 score of respectively 93.59% and 92.96% in complex environments with the presence of confounding activities and diverse ways of smoking.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2016)
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages190-199
Number of pages10
ISBN (Electronic)9781450347815
ISBN (Print)9781450347501
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016 - Hiroshima, Japan
Duration: 28 Nov 20161 Dec 2016

Other

Other13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2016
CountryJapan
CityHiroshima
Period28/11/161/12/16

Keywords

  • Hierarchical
  • Smoking detection
  • Temporal sequence processing
  • Wearable acoustic sensing

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