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dc.contributor.authorBasteris, A.
dc.contributor.authorAmirabdollahian, Farshid
dc.date.accessioned2014-03-05T09:29:00Z
dc.date.available2014-03-05T09:29:00Z
dc.date.issued2013
dc.identifier.citationBasteris , A & Amirabdollahian , F 2013 , Adaptive human-robot interaction based on lag-lead modelling for home-based stroke rehabilitation : Novel mechanisms for assessment and performance based adaptation of task difficulty . in Procs 2013 IEEE Int Conf on Systems, Man, and Cybernetics : SMC 2013 . Institute of Electrical and Electronics Engineers (IEEE) , pp. 3414-3419 . https://doi.org/10.1109/SMC.2013.582
dc.identifier.isbn9780769551548
dc.identifier.otherPURE: 2820079
dc.identifier.otherPURE UUID: e52987a4-0806-4e9c-a705-9f81bf021437
dc.identifier.otherScopus: 84893525654
dc.identifier.urihttp://hdl.handle.net/2299/13018
dc.description.abstractIn this work we present three interaction algorithms developed under the EU project SCRIPT in order to evaluate stroke patients' capabilities, evaluate their performance during robot-assisted exercise and consequently adapt the difficulty of the exercise to each individual. The first procedure assesses movement amplitude and duration with the subject making only a few repetitions of the motion. The second algorithm, aimed at evaluation of subject performance, is based on whether that the subject is lagging or leading with respect to a target reference trajectory. Finally, the third procedure aims at modifying the task difficulty (time allowed to reach the target, in this case) based on a performance indicator. The proposed mechanisms are completely independent from each other and could thus be exploited as single units. Furthermore, all of them are generalizable to any movement. These components have been adopted in the SCRIPT system, which is currently being tested in patients' home.en
dc.format.extent6
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProcs 2013 IEEE Int Conf on Systems, Man, and Cybernetics
dc.titleAdaptive human-robot interaction based on lag-lead modelling for home-based stroke rehabilitation : Novel mechanisms for assessment and performance based adaptation of task difficultyen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
rioxxterms.versionofrecordhttps://doi.org/10.1109/SMC.2013.582
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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