Enabling personal alcohol tracking using transdermal sensing wristbands: benefits and challenges

Chuang Wen You, Lu Hua Shih, Hung Yeh Lin, Yi-Ling Chen, Yaliang Chuang, Ming Chyi Huang, Yi Chao Chen

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

Abstract

Our current project involves the development of a wristband-mounted sensor that is meant to function as an alcohol use monitoring system. This paper focuses on the degree to which physical activity influences ethanol concentrations in the vapor secreted from the skin through collecting data from seven recruited participants when they conducting one designated activity, which could presumably affect the accuracy of detection results. We proposes a preliminary design of building a personal alcohol tracking system that can improve the reliability and affordability of current transdermal ethanol tracking devices to accommodate potential interferences presented in daily life and be intuitive to be used to raise the awareness of alcohol use.

Original languageEnglish
Title of host publicationProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Number of pages6
ISBN (Electronic)978-1-4503-6825-4
DOIs
Publication statusPublished - 1 Oct 2019
Event21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 - Taipei International Convention Center, Taipei, Taiwan
Duration: 1 Oct 20194 Oct 2019
https://mobilehci.acm.org/2019/

Conference

Conference21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019
Abbreviated titleMobileHCI 2019
CountryTaiwan
CityTaipei
Period1/10/194/10/19
Internet address

Fingerprint

Alcohols
Ethanol
Skin
Vapors
Monitoring
Sensors

Keywords

  • False alcohol detections
  • Personal alcohol tracking
  • Transdermal skin vapor

Cite this

You, C. W., Shih, L. H., Lin, H. Y., Chen, Y-L., Chuang, Y., Huang, M. C., & Chen, Y. C. (2019). Enabling personal alcohol tracking using transdermal sensing wristbands: benefits and challenges. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 [37] New York: Association for Computing Machinery, Inc. https://doi.org/10.1145/3338286.3344384
You, Chuang Wen ; Shih, Lu Hua ; Lin, Hung Yeh ; Chen, Yi-Ling ; Chuang, Yaliang ; Huang, Ming Chyi ; Chen, Yi Chao. / Enabling personal alcohol tracking using transdermal sensing wristbands : benefits and challenges. Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019. New York : Association for Computing Machinery, Inc, 2019.
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You, CW, Shih, LH, Lin, HY, Chen, Y-L, Chuang, Y, Huang, MC & Chen, YC 2019, Enabling personal alcohol tracking using transdermal sensing wristbands: benefits and challenges. in Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019., 37, Association for Computing Machinery, Inc, New York, 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019, Taipei, Taiwan, 1/10/19. https://doi.org/10.1145/3338286.3344384

Enabling personal alcohol tracking using transdermal sensing wristbands : benefits and challenges. / You, Chuang Wen; Shih, Lu Hua; Lin, Hung Yeh; Chen, Yi-Ling; Chuang, Yaliang; Huang, Ming Chyi; Chen, Yi Chao.

Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019. New York : Association for Computing Machinery, Inc, 2019. 37.

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

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You CW, Shih LH, Lin HY, Chen Y-L, Chuang Y, Huang MC et al. Enabling personal alcohol tracking using transdermal sensing wristbands: benefits and challenges. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019. New York: Association for Computing Machinery, Inc. 2019. 37 https://doi.org/10.1145/3338286.3344384