FaceBit: Smart Face Masks Platform

FaceBit: Smart Face Masks Platform
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DOI:
10.1145/3494991
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发表时间:
2021-12-01
期刊:
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT
影响因子:
--
通讯作者:
Hester, Josiah
Hester, Josiah
中科院分区:
其他
文献类型:
--
作者:
Curtiss, Alexander;Rothrock, Blaine;Hester, Josiah

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新冠肺炎疫情极大地增加了世界各地口罩的使用。除了物理距离外,它们是对医护人员和普通民众最有效的保护之一。然而,口罩是被动设备,不能在不正确的测试或口罩退化的情况下向用户发出警报。此外,口罩的最佳位置是提供对一些个人健康指标的独特洞察。认识到这一局限性和机遇,我们提出了一个开源的智能面膜应用研究平台FaceBit。FaceBit的设计是通过对一群健康专业人员的需求研究得出的。FaceBit体积小,很容易固定到任何面罩中,它伴随着一个移动应用程序,提供用户界面并促进研究。它通过心电图仪监测心率而无需皮肤接触,通过温度变化监测呼吸频率,根据压力信号监测面罩贴合和佩戴时间,所有这些都在设备上,具有高效节能的运行时间系统。FaceBit可以从呼吸、运动或阳光中获取能量,以补充其微小的主电池电池,仅此一块电池的电池寿命就可达到11天或更长时间。FaceBit赋能移动计算社区启动智能面膜传感和推理的研究,并为健康管理提供可持续、方便的外形因素,适用于新冠肺炎一线工作人员及其他人员。
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.t 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 need.nding 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-effcient 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.