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Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-25167-2_16
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dc.titleHall effect sensing input and like polarity haptic feedback in the liquid interface system
dc.contributor.authorKarunanayaka, K.
dc.contributor.authorKoh, J.T.K.V.
dc.contributor.authorNaik, E.B.
dc.contributor.authorCheok, A.D.
dc.date.accessioned2014-06-19T03:12:13Z
dc.date.available2014-06-19T03:12:13Z
dc.date.issued2011
dc.identifier.citationKarunanayaka, K.,Koh, J.T.K.V.,Naik, E.B.,Cheok, A.D. (2011). Hall effect sensing input and like polarity haptic feedback in the liquid interface system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7040 LNCS : 141-145. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-25167-2_16" target="_blank">https://doi.org/10.1007/978-3-642-25167-2_16</a>
dc.identifier.isbn9783642251665
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70445
dc.description.abstractLiquid Interface is an organic user interface that utilizes ferrofluid as an output display and input button embodiment. Using a matrix of Hall effect sensors, magnetic fields generated by rare-earth magnets worn on the fingertips are measured and are then converted into signals that provide input capability. This input actuates an array of electromagnets. Both Hall effect sensors and electromagnets are contained beneath the surface of the ferrofluid. By matching like polarities between the electromagnets and the rare-earth magnets, haptic force feedback by means of magnetic field repulsion can be achieved. © 2011 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-25167-2_16
dc.sourceScopus
dc.subjectFerrofluid
dc.subjectHall Effect
dc.subjectMagnetic
dc.subjectOrganic User Interface
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1007/978-3-642-25167-2_16
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume7040 LNCS
dc.description.page141-145
dc.identifier.isiutNOT_IN_WOS
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