A Scalable Solution for Signaling Face Touches to Reduce the Spread of Surface-based Pathogens
A Scalable Solution for Signaling Face Touches to Reduce the Spread of Surface-based Pathogens
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DOI：
10.1145/3448121
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发表时间：
2021-03
影响因子：
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通讯作者：
Camilo Rojas;Niels Poulsen;Mileva Van Tuyl;Daniel Vargas;Zipporah Cohen;Joe A. Paradiso;P. Maes-
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文献类型：
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作者：
Camilo Rojas;Niels Poulsen;Mileva Van Tuyl;Daniel Vargas;Zipporah Cohen;Joe A. Paradiso;P. Maes-
据估计，手-面传播是COVID-19传播的少数但不可忽视的媒介，也是多种其他病原体的主要媒介。与此同时，由于戴口罩或追踪接触者等主流保护措施无法有效解决这一问题，这一问题在很大程度上仍未得到解决。为了帮助解决这个问题，我们开发了Saving Face -一款应用程序，通过分析耳机发出的超声波信号的失真模式，在用户即将触摸自己的脸时发出警报。该系统仅依赖于预先存在的硬件（带有通用耳机的智能手机），这使得它能够快速扩展到全球数十亿智能手机用户。本文介绍了系统的设计，实施和评估，以及测试解决方案的准确性，鲁棒性和用户体验在各种日常活动（93.7%的灵敏度和91.5%的精度，N=10）的用户研究的结果。虽然本文着重于系统的应用程序检测手到脸的手势，该技术也可以适用于其他类型的手势和手势为基础的应用程序。
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.