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dc.contributor.authorYue, Shichao
dc.contributor.authorKatabi, Dina
dc.date.accessioned2022-07-13T16:18:29Z
dc.date.available2022-07-13T16:18:29Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143711
dc.description.abstract<jats:p>Surface tension is an important property of liquids. It has diverse uses such as testing water contamination, measuring alcohol concentration in drinks, and identifying the presence of protein in urine to detect the onset of kidney failure. Today, measurements of surface tension are done in a lab environment using costly instruments, making it hard to leverage this property in ubiquitous applications. In contrast, we show how to measure surface tension using only a smartphone. We introduce a new algorithm that uses the small waves on the liquid surface as a series of lenses that focus light and generate a characteristic pattern. We then use the phone camera to capture this pattern and measure the surface tension. Our approach is simple, accurate, and available to anyone with a smartphone. Empirical evaluations show that our mobile app can detect water contamination and measure alcohol concentration. Furthermore, it can track protein concentration in the urine, providing an initial at-home test for proteinuria, a dangerous complication that can lead to kidney failure.</jats:p>en_US
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionof10.1145/3481038en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACMen_US
dc.titleLiquid testing with your smartphoneen_US
dc.typeArticleen_US
dc.identifier.citationYue, Shichao and Katabi, Dina. 2021. "Liquid testing with your smartphone." Communications of the ACM, 64 (10).
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalCommunications of the ACMen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-07-13T16:04:56Z
dspace.orderedauthorsYue, S; Katabi, Den_US
dspace.date.submission2022-07-13T16:04:57Z
mit.journal.volume64en_US
mit.journal.issue10en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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