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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.otherdspace: 2299/608
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.format.extent76398
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.institutionBiocomputation Research Group
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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