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dc.contributor.authorJia, Xiaodan
dc.contributor.authorLi, Rui
dc.contributor.authorSrinivasan, Mandayam A.
dc.contributor.authorAdelson, Edward H.
dc.date.accessioned2014-04-14T12:58:29Z
dc.date.available2014-04-14T12:58:29Z
dc.date.issued2013-04
dc.identifier.isbn978-1-4799-0088-6
dc.identifier.isbn978-1-4799-0087-9
dc.identifier.urihttp://hdl.handle.net/1721.1/86139
dc.description.abstractA GelSight sensor is a tactile sensing device comprising a clear elastomeric pad covered with a reflective membrane, coupled with optics to measure the membrane's deformations. When the pad is pressed against an object's surface, the membrane changes shape in accord with mechanical and geometrical properties of the object. Since soft tissue is more compliant than hard tissue, one can detect an embedded lump by pressing the GelSight pad against the tissue surface and observing the hump that forms over the lump. We tested this system's sensitivity by constructing phantoms of soft rubber with hard embedded lumps. The system is quite sensitive; for example it could detect a 2mm lump at a depth of 5mm. The sensor was more sensitive than previous tactile lump detectors. It was also better than human observers using their fingertips. Such a capability could help in tumor screening, and could augment the sensory information available in telemedicine or minimally invasive surgery.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 6922551)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/WHC.2013.6548404en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT Web Domainen_US
dc.titleLump detection with a gelsight sensoren_US
dc.typeArticleen_US
dc.identifier.citationXiaodan Jia, Rui Li, M. A. Srinivasan, and E. H. Adelson. “Lump Detection with a Gelsight Sensor.” 2013 World Haptics Conference (WHC) (n.d.).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Human and Machine Hapticsen_US
dc.contributor.mitauthorJia, Xiaodanen_US
dc.contributor.mitauthorLi, Ruien_US
dc.contributor.mitauthorSrinivasan, Mandayam A.en_US
dc.contributor.mitauthorAdelson, Edward H.en_US
dc.relation.journalProceedings of the 2013 World Haptics Conference (WHC)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.orderedauthorsXiaodan Jia; Rui Li; Srinivasan, M. A.; Adelson, E. H.en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1347-6502
dc.identifier.orcidhttps://orcid.org/0000-0003-2222-6775
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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