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 language | English |
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Title of host publication | Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 |
Place of Publication | New York |
Publisher | Association for Computing Machinery, Inc |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4503-6825-4 |
DOIs | |
Publication status | Published - 1 Oct 2019 |
Event | 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 - Taipei International Convention Center, Taipei, Taiwan Duration: 1 Oct 2019 → 4 Oct 2019 https://mobilehci.acm.org/2019/ |
Conference
Conference | 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019 |
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Abbreviated title | MobileHCI 2019 |
Country/Territory | Taiwan |
City | Taipei |
Period | 1/10/19 → 4/10/19 |
Internet address |
Keywords
- False alcohol detections
- Personal alcohol tracking
- Transdermal skin vapor