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dc.contributor.authorYeo, Hui Shyong
dc.contributor.authorLee, Juyoung
dc.contributor.authorBianchi, Andrea
dc.contributor.authorQuigley, Aaron John
dc.date.accessioned2016-09-08T15:30:12Z
dc.date.available2016-09-08T15:30:12Z
dc.date.issued2016-09-06
dc.identifier245678353
dc.identifierbfa7806b-a082-41d9-929c-36d6504d9627
dc.identifier84991063622
dc.identifier000680008800008
dc.identifier.citationYeo , H S , Lee , J , Bianchi , A & Quigley , A J 2016 , WatchMI: applications of watch movement input on unmodified smartwatches . in Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct : MobileHCI '16 . ACM , pp. 594-598 , 18th International Conference on Human-Computer Interaction with Mobile Devices and Services , Florence , Italy , 6/09/16 . https://doi.org/10.1145/2957265.2961825en
dc.identifier.citationconferenceen
dc.identifier.isbn978-1-4503-4408-1
dc.identifier.otherORCID: /0000-0002-5274-6889/work/34040082
dc.identifier.urihttps://hdl.handle.net/10023/9461
dc.description.abstractIn this demo, we show that it is possible to enhance touch interaction on unmodified smartwatch to support continuous pressure touch, twist and pan gestures, by only analyzing the real-time data of Inertial Measurement Unit (IMU). Our evaluation results show that the three proposed input interfaces are accurate, noise-resistant, easy to use and can be deployed to a variety of smartwatches. We then showcase the potential of this work with seven example applications. During the demo session, users can try the prototype.
dc.format.extent21192067
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjuncten
dc.subjectRich Touchen
dc.subjectSmart watchen
dc.subjectSmall screenen
dc.subjectWearable devicesen
dc.subjectQA76 Computer softwareen
dc.subjectNDASen
dc.subject.lccQA76en
dc.titleWatchMI: applications of watch movement input on unmodified smartwatchesen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doi10.1145/2957265.2961825


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