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dc.contributor.authorNehaniv, C.L.
dc.date.accessioned2011-10-24T09:01:19Z
dc.date.available2011-10-24T09:01:19Z
dc.date.issued2005
dc.identifier.citationNehaniv , C L 2005 , Classifying types of gesture and inferring intent . in Procs of the AISB 05 Symposium on Robot Companions : Hard Problems and Open Challenges in Robot-Human Interaction . The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) , pp. 74-81 .
dc.identifier.otherPURE: 427888
dc.identifier.otherPURE UUID: 9abd1764-6260-4feb-bf3f-afc5689f74c5
dc.identifier.otherdspace: 2299/608
dc.identifier.otherScopus: 33750273686
dc.identifier.urihttp://hdl.handle.net/2299/6767
dc.description.abstractIn order to infer intent from gesture, a rudimentary classification of types of gestures into five main classes is introduced. The classification is intended as a basis for incorporating the understanding of gesture into human-robot interaction (HRI). Some requirements for the operational classification of gesture by a robot interacting with humans are also suggested.en
dc.language.isoeng
dc.publisherThe Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
dc.relation.ispartofProcs of the AISB 05 Symposium on Robot Companions
dc.subjectComputer Science
dc.titleClassifying types of gesture and inferring intenten
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.versionSMUR
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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