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dc.contributor.authorLoureiro, R.
dc.contributor.authorAmirabdollahian, Farshid
dc.contributor.authorDriessen, B.
dc.contributor.authorHarwin, W.
dc.contributor.editorMarincek, C.
dc.contributor.editorBuhler, C.
dc.contributor.editorKnops, H.
dc.contributor.editorAndrich, R.
dc.date.accessioned2015-01-12T11:47:37Z
dc.date.available2015-01-12T11:47:37Z
dc.date.issued2001
dc.identifier.citationLoureiro , R , Amirabdollahian , F , Driessen , B & Harwin , W 2001 , A novel method for computing natural path for robot assisted movements in synthetic worlds . in C Marincek , C Buhler , H Knops & R Andrich (eds) , Rehabilitation, Allied Medicine : Assistive Technology - Added Value to the Quality of Life - AAATE'01 . Assistive Technology Research Series , no. 10 , IOS Press , Amsterdam , pp. 262-267 .
dc.identifier.isbn1-58603-195-3
dc.identifier.otherPURE: 783715
dc.identifier.otherPURE UUID: 8e51758b-7e3e-450d-9963-39dcfc4ffec3
dc.identifier.otherWOS: 000173832400048
dc.identifier.urihttp://hdl.handle.net/2299/15159
dc.description.abstractSeveral methods and theories have been used to create a smooth trajectory for machine assisted physiotherapy [1]. We have introduced a novel theory to create such a smooth trajectory. The mathematical model introduced in this paper can be used for different robotics projects to create this type of trajectories. This model has been used in a European project to deliver a system capable of correcting movement in machine assisted stroke rehabilitation. This system can be used for errorless learning techniques and intensive rehabilitation treatment for patient recovering post-stroke.en
dc.format.extent6
dc.language.isoeng
dc.publisherIOS Press
dc.relation.ispartofRehabilitation, Allied Medicine
dc.relation.ispartofseriesAssistive Technology Research Series
dc.subjecthemiplegia
dc.subjectmotor relearning
dc.subjectrobot mediated therapy
dc.subjectvirtual environments
dc.subjectassistive technology
dc.titleA novel method for computing natural path for robot assisted movements in synthetic worldsen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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