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Identifying human contact points on environmental surfaces using heat traces to support disinfect activities: poster abstract

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Published:16 November 2020Publication History

ABSTRACT

The disinfection of environmental surfaces is an effective countermeasure for COVID-19. In this paper, we use a thermographic camera and lightweight background image processing and propose a method that detects and visualizes the places touched by a person. Our method will support effective disinfection activities.

References

  1. Y. Abdelrahman, M. Khamis, S. Schneegass, and F. Alt. 2017. Stay Cool! Understanding Thermal Attacks on Mobile-based User Authentication. In Proc. of the 2017 CHI Conf. on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, 3751--3763. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Y. Shirai, Y. Kishino, T. Suyama, and S. Mizutani. 2019. PASNIC: a thermal based privacy-aware sensor node for image capturing. In Adjunct Proc. of the 2019 ACM Int'l Joint Conf. on Pervasive and Ubiquitous Computing and Proc. of the 2019 ACM Int'l Symposium on Wearable Computers (UbiComp/ISWC '19 Adjunct). ACM, New York, NY, 202--205. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. Larson, G. Cohn, S. Gupta, X. Ren, B. Harrison, D. Fox, and S. Patel. 2011. HeatWave: thermal imaging for surface user interaction. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems (CHI '11). ACM, New York, 2565--2574. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. CDC. Prevent Getting Sick. https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/index.htmlGoogle ScholarGoogle Scholar

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  1. Identifying human contact points on environmental surfaces using heat traces to support disinfect activities: poster abstract

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      • Published in

        cover image ACM Conferences
        SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
        November 2020
        852 pages
        ISBN:9781450375900
        DOI:10.1145/3384419

        Copyright © 2020 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 November 2020

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        Acceptance Rates

        Overall Acceptance Rate174of867submissions,20%

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