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dc.contributor.authorAmirabdollahian, F.
dc.contributor.authorRobins, B.
dc.contributor.authorDautenhahn, K.
dc.contributor.authorJi, Z.
dc.date.accessioned2012-02-22T10:00:58Z
dc.date.available2012-02-22T10:00:58Z
dc.date.issued2011
dc.identifier.citationAmirabdollahian , F , Robins , B , Dautenhahn , K & Ji , Z 2011 , Investigating tactile event recognition in child-robot interaction for use in autism therapy . in Procs of the Annual Int Conf of the IEEE Engineering in Medicine and Biology Society : EMBC 11 . IEEE , pp. 5347-5351 . https://doi.org/10.1109/IEMBS.2011.6091323
dc.identifier.isbn978-1-4244-4121-1
dc.identifier.isbn978-1-4244-4122-8
dc.identifier.otherPURE: 535746
dc.identifier.otherPURE UUID: f588b095-7327-4ce7-a6e2-79892efd10a7
dc.identifier.otherScopus: 84862295848
dc.identifier.urihttp://hdl.handle.net/2299/7887
dc.description.abstractThe work presented in this paper is part of our investigation in the ROBOSKIN project. The project aims to develop and demonstrate a range of new robot capabilities based on robot skin tactile feedback from large areas of the robot body. The main objective of the project is to develop cognitive mechanisms exploiting tactile feedback to improve human-robot interaction capabilities. The project aims also to investigate the possible use of this technology in robot-assisted play in the context of autism therapy. This article reports progress made in investigating tactile child-robot interactions where children with autism interacted with the humanoid robot KASPAR equipped with the first prototype of skin patches, introducing a new algorithm for tactile event recognition which will enhance the observational data analysis that has been used in the past.en
dc.format.extent5
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofProcs of the Annual Int Conf of the IEEE Engineering in Medicine and Biology Society
dc.titleInvestigating tactile event recognition in child-robot interaction for use in autism therapyen
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionAdaptive Systems
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84055199120&partnerID=8YFLogxK
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2011
rioxxterms.versionofrecordhttps://doi.org/10.1109/IEMBS.2011.6091323
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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