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This article presents our system\n            <jats:italic>SpiroMask<\/jats:italic>\n            that retrofits a microphone in consumer-grade masks (N95 and cloth masks) for continuous lung health monitoring. We evaluate our approach on 48 participants (including 14 with lung health issues) and find that we can estimate parameters such as lung volume and respiration rate within the approved error range by the American Thoracic Society (ATS). Further, we show that our approach is robust to sensor placement inside the mask.\n          <\/jats:p>","DOI":"10.1145\/3570167","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T11:31:19Z","timestamp":1667475079000},"page":"1-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["SpiroMask: Measuring Lung Function Using Consumer-Grade Masks"],"prefix":"10.1145","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8089-9498","authenticated-orcid":false,"given":"Rishiraj","family":"Adhikary","sequence":"first","affiliation":[{"name":"IIT Gandhinagar, Gandhinagar, Gujarat, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7108-9899","authenticated-orcid":false,"given":"Dhruvi","family":"Lodhavia","sequence":"additional","affiliation":[{"name":"IIT Gandhinagar, Gandhinagar, Gujarat, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4212-1751","authenticated-orcid":false,"given":"Chris","family":"Francis","sequence":"additional","affiliation":[{"name":"IIT Gandhinagar, Gandhinagar, Gujarat, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2214-1811","authenticated-orcid":false,"given":"Rohit","family":"Patil","sequence":"additional","affiliation":[{"name":"IIT Gandhinagar, Gandhinagar, Gujarat, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0144-7931","authenticated-orcid":false,"given":"Tanmay","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Stony Brook University, Stony Brook, NY"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0162-0052","authenticated-orcid":false,"given":"Prerna","family":"Khanna","sequence":"additional","affiliation":[{"name":"Stony Brook University, Stony Brook, NY"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0736-7169","authenticated-orcid":false,"given":"Nipun","family":"Batra","sequence":"additional","affiliation":[{"name":"IT Gandhinagar, Gandhinagar, Gujarat, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2795-7334","authenticated-orcid":false,"given":"Joseph","family":"Breda","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, Washington"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5341-4387","authenticated-orcid":false,"given":"Jacob","family":"Peplinski","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, Washington"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6300-4389","authenticated-orcid":false,"given":"Shwetak","family":"Patel","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, Washington"}]}],"member":"320","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1145\/3410530.3414403","volume-title":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers","author":"Adhikary Rishiraj","year":"2020","unstructured":"Rishiraj Adhikary, Tanmay Srivastava, Prerna Khanna, Aabhas Asit Senapati, and Nipun Batra. 2020. 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Elsevier."},{"issue":"1","key":"e_1_3_3_86_2","first-page":"1","article-title":"Listen2Cough: Leveraging end-to-end deep learning cough detection model to enhance lung health assessment using passively sensed audio","volume":"5","author":"Xu Xuhai","year":"2021","unstructured":"Xuhai Xu, Ebrahim Nemati, Korosh Vatanparvar, Viswam Nathan, Tousif Ahmed, Md Mahbubur Rahman, Daniel McCaffrey, Jilong Kuang, and Jun Alex Gao. 2021. Listen2Cough: Leveraging end-to-end deep learning cough detection model to enhance lung health assessment using passively sensed audio. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 1 (2021), 1\u201322.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_3_87_2","unstructured":"Swagata Yadavar. 2019. Why India Is Struggling to Tackle Its Lung Disease Crisis . Retrieved March 10 2022 from https:\/\/www.indiaspend.com\/why-india-is-struggling-to-tackle-its-pulmonary-disease-crisis\/."},{"key":"e_1_3_3_88_2","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1109\/CCECE.2002.1013095","volume-title":"Proceedings of the IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No. 02CH37373)","volume":"2","author":"Yap Yee Leng","year":"2002","unstructured":"Yee Leng Yap and Zahra Moussavi. 2002. Acoustic airflow estimation from tracheal sound power. In Proceedings of the IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No. 02CH37373), Vol. 2. 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