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dc.contributor.authorIshii, Hiroshi
dc.contributor.authorFollmer, Sean Weston
dc.contributor.authorJohnson, Micah K.
dc.contributor.authorAdelson, Edward H
dc.date.accessioned2013-08-14T16:40:18Z
dc.date.available2013-08-14T16:40:18Z
dc.date.issued2011-10
dc.identifier.isbn9781450307161
dc.identifier.urihttp://hdl.handle.net/1721.1/79860
dc.description.abstractWe introduce a novel input device, deForm, that supports 2.5D touch gestures, tangible tools, and arbitrary objects through real-time structured light scanning of a malleable surface of interaction. DeForm captures high-resolution surface deformations and 2D grey-scale textures of a gel surface through a three-phase structured light 3D scanner. This technique can be combined with IR projection to allow for invisible capture, providing the opportunity for co-located visual feedback on the deformable surface. We describe methods for tracking fingers, whole hand gestures, and arbitrary tangible tools. We outline a method for physically encoding fiducial marker information in the height map of tangible tools. In addition, we describe a novel method for distinguishing between human touch and tangible tools, through capacitive sensing on top of the input surface. Finally we motivate our device through a number of sample applications.en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2047196.2047265en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT Web Domainen_US
dc.titledeForm: An interactive malleable surface for capturing 2.5D arbitrary objects, tools and touchen_US
dc.typeArticleen_US
dc.identifier.citationSean Follmer, Micah Johnson, Edward Adelson, and Hiroshi Ishii. 2011. deForm: an interactive malleable surface for capturing 2.5D arbitrary objects, tools and touch. In Proceedings of the 24th annual ACM symposium on User interface software and technology (UIST '11). ACM, New York, NY, USA, 527-536en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.mitauthorFollmer, Sean Westonen_US
dc.contributor.mitauthorJohnson, Micah K.en_US
dc.contributor.mitauthorAdelson, Edward H.en_US
dc.contributor.mitauthorIshii, Hiroshien_US
dc.relation.journalProceedings of the 24th annual ACM symposium on User interface software and technology (UIST '11)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsFollmer, Sean; Johnson, Micah; Adelson, Edward; Ishii, Hiroshien_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4918-8908
dc.identifier.orcidhttps://orcid.org/0000-0003-2222-6775
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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