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dc.contributor.authorHundia, Rohan
dc.contributor.authorQuigley, Aaron
dc.identifier.citationHundia , R & Quigley , A 2019 , Breathin : a breath pattern sensing approach for user computer interaction . in OZCHI'19 : Proceedings of the 31st Australian Conference on Human-Computer-Interaction . ACM , New York , pp. 581-584 , OZCHI'19 , Perth/Freemantle , Western Australia , Australia , 2/12/19 .
dc.identifier.otherPURE: 265750444
dc.identifier.otherPURE UUID: 5ecfbc0d-3cd8-4140-9cda-9d4d4f8d67a8
dc.identifier.othercrossref: 10.1145/3369457.3369536
dc.identifier.otherORCID: /0000-0002-5274-6889/work/67525877
dc.identifier.otherScopus: 85078695702
dc.identifier.otherWOS: 000555452200088
dc.description.abstractNew interaction modalities in human computer interaction often explore common sensory inputs including touch, voice, gesture or motion. However, these modalities are not inclusive of the entire population type, and cannot be utilized by a group of people who suffer from any limitation of that sensory input. Here we propose BreathIn: an interface tool for enabling interaction with computer applications by using discreet exhalation patterns. The intent is that such patterns can be issued by anyone who can breathe. Our concept is based on detecting a user's forced exhalation patterns in a time duration using a MEMS microphone placed below the user's nose. We breakdown the signal into FFT components and identify peak frequencies for forced voluntary "breath events" and use that in real-time to distinguish between "exhalation events" and noise. We show two major applications of such an interaction tool: a) adaptation of computer applications using breath, b) using the breath interface as a discreet, emergency signal for prospective victims of crime.
dc.rightsCopyright © 2019 the owner/author(s). This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at
dc.subjectBreath sensingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQP Physiologyen
dc.subjectT Technologyen
dc.titleBreathin : a breath pattern sensing approach for user computer interactionen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen

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