Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/93270
DC FieldValueLanguage
dc.contributor.authorCruz, Aniana-
dc.contributor.authorPires, Gabriel-
dc.contributor.authorLopes, Ana-
dc.contributor.authorCarona, Carlos-
dc.contributor.authorNunes, Urbano J.-
dc.date.accessioned2021-03-05T10:34:56Z-
dc.date.available2021-03-05T10:34:56Z-
dc.date.issued2021-
dc.identifier.issn2168-2291pt
dc.identifier.issn2168-2305pt
dc.identifier.urihttp://hdl.handle.net/10316/93270-
dc.description.abstractBrain-controlled wheelchairs (BCWs) are a promising solution for people with severe motor disabilities, who cannot use conventional interfaces. However, the low reliability of electroencephalographic signal decoding and the high user’s workload imposed by continuous control of a wheelchair requires effective approaches. In this article, we propose a self-paced P300-based brain–computer interface (BCI) combined with dynamic time-window commands and a collaborative controller. The self-paced approach allows users to switch between control and noncontrol states without requiring any additional task or mental strategy, while the dynamic time-window commands allow balancing the reliability and speed of the BCI. The collaborative controller, combining user’s intentions and navigation information, offers the possibility to navigate in complex environments and to improve the overall system reliability. The feasibility of the proposed approach and the impact of each system component (self-paced, dynamic time window, and collaborative controller) are systematically validated in a set of experiments conducted with seven able-bodied participants and six physically disabled participants steering a robotic wheelchair in real-office-like environments. These two groups controlled the BCW with a final driving accuracy greater than 99%. Quantitative and subjective results, assessed through questionnaires, attest to the effectiveness of the proposed approach. Altogether, these findings contribute to improving the usability of BCWs and, hence, the potential for their use by target users in home settings.pt
dc.language.isoengpt
dc.publisherIEEEpt
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147323/PTpt
dc.relationPTDC/EEI/-AUT/30935/2017pt
dc.relationSFRH/BD/111473/2015pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectBrain–computer interface (BCI)pt
dc.subjectCollaborative controlpt
dc.subjectDynamic time windowpt
dc.subjectPhysically disabledpt
dc.subjectQuantitative and subjective assessmentpt
dc.subjectRobotic wheelchair (RW)pt
dc.subjectSelf-pacedpt
dc.titleA Self-Paced BCI With a Collaborative Controller for Highly Reliable Wheelchair Driving: Experimental Tests With Physically Disabled Individualspt
dc.typearticle-
degois.publication.firstPage1pt
degois.publication.lastPage11pt
degois.publication.titleIEEE Transactions on Human-Machine Systemspt
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9336656pt
dc.peerreviewedyespt
dc.identifier.doi10.1109/THMS.2020.3047597pt
dc.date.embargo2021-01-01*
uc.date.periodoEmbargo0pt
item.languageiso639-1en-
item.fulltextCom Texto completo-
item.grantfulltextopen-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.researchunitISR - Institute of Systems and Robotics-
crisitem.author.researchunitCenter for Research in Neuropsychology and Cognitive Behavioral Intervention-
crisitem.author.researchunitISR - Institute of Systems and Robotics-
crisitem.author.parentresearchunitUniversity of Coimbra-
crisitem.author.parentresearchunitUniversity of Coimbra-
crisitem.author.orcid0000-0001-9967-845X-
crisitem.author.orcid0000-0001-6695-477X-
crisitem.author.orcid0000-0002-3605-3513-
crisitem.author.orcid0000-0002-7750-5221-
Appears in Collections:I&D ISR - Artigos em Revistas Internacionais
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