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A Scalable Solution for Signaling Face Touches to Reduce the Spread of Surface-based Pathogens

Authors:

Mileva Van Tuyl,

Zipporah Cohen,

Fadel AdibAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 5, Issue 1

Article No.: 31, Pages 1 - 22

https://doi.org/10.1145/3448121

Published: 30 March 2021 Publication History

Abstract

Hand-to-Face transmission has been estimated to be a minority, yet non-negligible, vector of COVID-19 transmission and a major vector for multiple other pathogens. At the same time, as it cannot be effectively addressed with mainstream protection measures, such as wearing masks or tracing contacts, it remains largely untackled. To help address this issue, we have developed Saving Face - an app that alerts users when they are about to touch their faces, by analyzing the distortion patterns in the ultrasound signal emitted by their earphones. The system only relies on pre-existing hardware (a smartphone with generic earphones), which allows it to be rapidly scalable to billions of smartphone users worldwide. This paper describes the design, implementation and evaluation of the system, as well as the results of a user study testing the solution's accuracy, robustness, and user experience during various day-to-day activities (93.7% Sensitivity and 91.5% Precision, N=10). While this paper focuses on the system's application to detecting hand-to-face gestures, the technique can also be applicable to other types of gestures and gesture-based applications.

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Cited By

Pour Rezaei PJokela TVetek ASalmimaa M(2024)Informing the Design of Intervention Solutions for Body-Focused Repetitive BehaviorsProceedings of the ACM on Human-Computer Interaction10.1145/36765138:MHCI(1-15)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676513
Zhang XWang YHan YLiang CChatterjee ITang JYi XPatel SShi Y(2024)The EarSAVAS DatasetProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596168:2(1-26)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659616
Yi EZhang FXiong JNiu KYao ZZhang D(2024)Enabling WiFi Sensing on New-generation WiFi CardsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36338077:4(1-26)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3633807
Show More Cited By

Index Terms

A Scalable Solution for Signaling Face Touches to Reduce the Spread of Surface-based Pathogens
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 5, Issue 1

March 2021

1272 pages

EISSN:2474-9567

DOI:10.1145/3459088

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Copyright © 2021 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 March 2021

Published in IMWUT Volume 5, Issue 1

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Cited By

Pour Rezaei PJokela TVetek ASalmimaa M(2024)Informing the Design of Intervention Solutions for Body-Focused Repetitive BehaviorsProceedings of the ACM on Human-Computer Interaction10.1145/36765138:MHCI(1-15)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676513
Zhang XWang YHan YLiang CChatterjee ITang JYi XPatel SShi Y(2024)The EarSAVAS DatasetProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596168:2(1-26)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659616
Yi EZhang FXiong JNiu KYao ZZhang D(2024)Enabling WiFi Sensing on New-generation WiFi CardsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36338077:4(1-26)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3633807
Yang YChen THuang YGuo XShangguan L(2024)MAF: Exploring Mobile Acoustic Field for Hand-to-Face Gesture InteractionsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642437(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642437
Fathian RPhan SHo CRouhani H(2023)Face touch monitoring using an instrumented wristband using dynamic time warping and k-nearest neighboursPLOS ONE10.1371/journal.pone.028177818:2(e0281778)Online publication date: 17-Feb-2023
https://doi.org/10.1371/journal.pone.0281778
Liu LCao ZLi T(2023)FaceTouch: Practical Face Touch Detection with a Multimodal Wearable System for Epidemiological SurveillanceProceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation10.1145/3576842.3582368(13-26)Online publication date: 9-May-2023
https://dl.acm.org/doi/10.1145/3576842.3582368
Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550314
Kakaraparthi VShao QCarver CPham TBui NNguyen PZhou XVu T(2021)FaceSenseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34781295:3(1-27)Online publication date: 14-Sep-2021
https://dl.acm.org/doi/10.1145/3478129
D'Aurizio NBaldi TMarullo SPaolocci GPrattichizzo D(2021)Reducing Face-Touches to Limit COVID-19 Outbreak: an Overview of Solutions2021 29th Mediterranean Conference on Control and Automation (MED)10.1109/MED51440.2021.9480242(645-650)Online publication date: 22-Jun-2021
https://doi.org/10.1109/MED51440.2021.9480242

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