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ezGo: A voice operated wheelchair with biosignal monitoring for home environments

dc.contributor.authorCoelho, Luis
dc.contributor.authorBraga, Daniela
dc.date.accessioned2016-02-05T11:50:10Z
dc.date.available2016-02-05T11:50:10Z
dc.date.issued2009
dc.description.abstractIn this paper we present ezGo, an electric powered wheelchair with a speech based interface and biosignal monitoring instrumentation. The user can use the voice, a natural communication method, for controlling the chair movement and obtain information about his health. Additionally a set of semi-autonomous modes with macro recording enable the execution of navigation tasks with little effort and improved precision. The main purpose of the system is to provide severely disabled persons with an assistive device that can improve their confidence and daily independence. The obtained results on usability tests showed that users consider ezGo a valuable help on their daily tasks and a very desirable addition to standard wheelchairs.pt_PT
dc.identifier.isbn978-972-669-913-2
dc.identifier.urihttp://hdl.handle.net/10400.22/7632
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherUTAD - Universidade deTrás-os-Montes e Alto Douropt_PT
dc.titleezGo: A voice operated wheelchair with biosignal monitoring for home environmentspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboa, Portugalpt_PT
oaire.citation.endPage130pt_PT
oaire.citation.startPage125pt_PT
oaire.citation.titleDSAI 2009: Proceedings of the International Conference on Software Development for Enhancing Accessibility and Fighting Info-Exclusion, 2ndpt_PT
person.familyNameCoelho
person.givenNameLuis
person.identifier721155
person.identifier.ciencia-id9B14-241F-3743
person.identifier.orcid0000-0002-5673-7306
person.identifier.ridC-9695-2015
person.identifier.scopus-author-id55027243400
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication5d1adee2-3e4c-4c07-a88e-0887653056dd
relation.isAuthorOfPublication.latestForDiscovery5d1adee2-3e4c-4c07-a88e-0887653056dd

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