Novel Smart N95 Filtering Facepiece Respirator with Real-time Adaptive Fit Functionality and Wireless Humidity Monitoring for Enhanced Wearable Comfort
Kangkyu Kwon, Yoon Jae Lee, Yeongju Jung, Ira Soltis, Chanyeong Choi,, Yewon Na, Lissette Romero, Myung Chul Kim, Nathan Rodeheaver, Hodam Kim,, Michael S. Lloyd, Ziqing Zhuang, William King, Susan Xu, Seung-Hwan Ko,, Jinwoo Lee, Woon-Hong Yeo

TL;DR
This paper introduces a smart N95 respirator with real-time adaptive fit and wireless humidity monitoring, enhancing comfort and safety by addressing fit issues and providing air quality feedback during long-term use.
Contribution
The study presents a novel smart N95 respirator integrating humidity sensing and self-fit adjustment using laser-induced graphene and dielectric elastomer sensors, improving fit and user awareness.
Findings
Fit factor increased by 3.20 times on average.
Self-fit mechanism effectively adapts to facial variations.
Wireless humidity monitoring provides real-time air quality data.
Abstract
The widespread emergence of the COVID-19 pandemic has transformed our lifestyle, and facial respirators have become an essential part of daily life. Nevertheless, the current respirators possess several limitations such as poor respirator fit because they are incapable of covering diverse human facial sizes and shapes, potentially diminishing the effect of wearing respirators. In addition, the current facial respirators do not inform the user of the air quality within the smart facepiece respirator in case of continuous long-term use. Here, we demonstrate the novel smart N-95 filtering facepiece respirator that incorporates the humidity sensor and pressure sensory feedback-enabled self-fit adjusting functionality for the effective performance of the facial respirator to prevent the transmission of airborne pathogens. The laser-induced graphene (LIG) constitutes the humidity sensor, and…
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Taxonomy
TopicsInfection Control and Ventilation · Antenna Design and Analysis
