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dc.contributor.authorAmirabdollahian, Farshid
dc.contributor.authorGomes, G. T.
dc.contributor.authorJohnson, G.R.
dc.date.accessioned2015-02-24T14:48:23Z
dc.date.available2015-02-24T14:48:23Z
dc.date.issued2005
dc.identifier.citationAmirabdollahian , F , Gomes , G T & Johnson , G R 2005 , The peg-in-hole : A VR-based haptic assessment for quantifying ED upper limb performance and skills . in 2005 IEEE 9th Int Conf on Rehabilitation Robotics : ICORR . IEEE , pp. 422-425 , IEEE 9th International Conference on Rehabilitation Robotics , Chicago , United States , 28/06/05 . https://doi.org/10.1109/ICORR.2005.1501133
dc.identifier.citationconference
dc.identifier.isbn0-7803-9003-2
dc.identifier.otherPURE: 783923
dc.identifier.otherPURE UUID: 793ffe42-b010-4642-b8c8-604f79fa6eb9
dc.identifier.otherWOS: 000233375400096
dc.identifier.otherScopus: 33745773713
dc.identifier.urihttp://hdl.handle.net/2299/15443
dc.description.abstractAssistive technologies (AT) have the potential to augment individual's life and to promote functional independence. However, in many cases, optimum use of an assistive technology device is restricted due to the difficulties in interacting with the user. Owing to inherent differences in the level of individuals' impairment, selection of a suitable interface for an assistive technology device is usually a difficult choice. Objective quantification of the individual's impairment is therefore a very important step in matching a suitable interface for use with assistive technology equipments. Similar need for such measures can be seen in rehabilitation where appropriate objective measures can inform the effectiveness of a therapy regime or help to compare different therapies and their usefulness. This paper presents the peg-in-hole haptic assessment designed for quantifying upper limb skills.en
dc.format.extent4
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2005 IEEE 9th Int Conf on Rehabilitation Robotics
dc.subjectBRAIN-INJURY
dc.titleThe peg-in-hole : A VR-based haptic assessment for quantifying ED upper limb performance and skillsen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Engineering and Computer Science
dc.relation.schoolSchool of Engineering and Computer Science
dcterms.dateAccepted2005
rioxxterms.versionofrecordhttps://doi.org/10.1109/ICORR.2005.1501133
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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