research-article

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FaceBit: Smart Face Masks Platform

Authors:

Alexander Curtiss,

Blaine Rothrock,

Nivedita Arora,

Zachary Englhardt,

Aaron-Patrick Empedrado,

Nabil Alshurafa,

Josiah HesterAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 5, Issue 4

Article No.: 151, Pages 1 - 44

https://doi.org/10.1145/3494991

Published: 30 December 2021 Publication History

Abstract

The COVID-19 pandemic has dramatically increased the use of face masks across the world. Aside from physical distancing, they are among the most effective protection for healthcare workers and the general population. Face masks are passive devices, however, and cannot alert the user in case of improper fit or mask degradation. Additionally, face masks are optimally positioned to give unique insight into some personal health metrics. Recognizing this limitation and opportunity, we present FaceBit: an open-source research platform for smart face mask applications. FaceBit's design was informed by needfinding studies with a cohort of health professionals. Small and easily secured into any face mask, FaceBit is accompanied by a mobile application that provides a user interface and facilitates research. It monitors heart rate without skin contact via ballistocardiography, respiration rate via temperature changes, and mask-fit and wear time from pressure signals, all on-device with an energy-efficient runtime system. FaceBit can harvest energy from breathing, motion, or sunlight to supplement its tiny primary cell battery that alone delivers a battery lifetime of 11 days or more. FaceBit empowers the mobile computing community to jumpstart research in smart face mask sensing and inference, and provides a sustainable, convenient form factor for health management, applicable to COVID-19 frontline workers and beyond.

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Cited By

Kuglics LGéczy ADusek KBusek DIllés B(2024)Personal Air-Quality Monitoring with Sensor-Based Wireless Internet-of-Things Electronics Embedded in Protective Face MasksSensors10.3390/s2408260124:8(2601)Online publication date: 18-Apr-2024
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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 4

Dec 2021

1307 pages

EISSN:2474-9567

DOI:10.1145/3508492

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Published: 30 December 2021

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Cited By

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https://doi.org/10.3390/s24082601
Ahmed SIslam BYildirim KZimmerling MPawełczak PAlizai MLucia BMottola LSorber JHester J(2024)The Internet of Batteryless ThingsCommunications of the ACM10.1145/362471867:3(64-73)Online publication date: 22-Feb-2024
https://dl.acm.org/doi/10.1145/3624718
Yang XSayono JXu JZhang Y(2024)Interaction-Power Stations: Turning Environments into Ubiquitous Power Stations for Charging WearablesExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650769(1-8)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650769
Liu XLi JKim DChen XDu R(2024)Human I/O: Towards a Unified Approach to Detecting Situational ImpairmentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642065(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642065
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