Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48118
Campo DC Valoridioma
dc.contributor.authorFerreira, Andréen_US
dc.contributor.authorVourvopoulos, Athanasiosen_US
dc.contributor.authorBadia, Sergi Bermúdezien_US
dc.contributor.otherBermudez i Badia, Sergi-
dc.contributor.otherVourvopoulos, Athanasios-
dc.date.accessioned2018-11-23T19:05:17Z-
dc.date.available2018-11-23T19:05:17Z-
dc.date.issued2015en_US
dc.identifier.isbn978-3-319-23343-7en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/48118-
dc.description.abstractBrain–Computer Interfaces (BCIs) are become increasingly more available at reduced costs and are being incorporated into immersive virtual environments and video games for serious applications. Most research in BCIs focused on signal processing techniques and has neglected the interaction aspect of BCIs. This has created an imbalance between BCI classification performance and online control quality of the BCI interaction. This results in user fatigue and loss of interest over time. In the health domain, BCIs provide a new way to overcome motor-related disabilities, promoting functional and structural plasticity in the brain. In order to exploit the advantages of BCIs in neurorehabilitation we need to maximize not only the classification performance of such systems but also engagement and the sense of competence of the user. Therefore, we argue that the primary goal should not be for users to be trained to successfully use a BCI system but to adapt the BCI interaction to each user in order to maximize the level of control on their actions, whatever their performance level is. To achieve this, we developed the Adaptive Performance Engine (APE) and tested with data from 20 naïve BCI users. APE can provide user specific performance improvements up to approx. 20% and we compare it with previous methods. Finally, we contribute with an open motor-imagery datasets with 2400 trials from naïve users.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceBrain Informatics and Health. BIH 2015. Lecture Notes in Computer Science,v. 9250, p. 202-211en_US
dc.subject3314 Tecnología médicaen_US
dc.subject.otherBrain-computer interfacesen_US
dc.subject.otherAdaptive performanceen_US
dc.subject.otherMotor imageryen_US
dc.titleOptimizing performance of non-expert users in brain-computer interaction by means of an adaptive performance engineen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBook parten_US
dc.relation.conference8th International Conference on Brain Informatics and Health, (BIH 2015)en_US
dc.identifier.doi10.1007/978-3-319-23344-4_20en_US
dc.identifier.scopus84945941967-
dc.identifier.isi000363761200020-
dcterms.isPartOfBrain Informatics And Health (Bih 2015)-
dcterms.sourceBrain Informatics And Health (Bih 2015)[ISSN 0302-9743],v. 9250, p. 202-211-
dc.contributor.authorscopusid35514829300-
dc.contributor.authorscopusid48762198300-
dc.contributor.authorscopusid6506360007-
dc.description.lastpage211en_US
dc.description.firstpage202en_US
dc.relation.volume9250en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.identifier.wosWOS:000363761200020-
dc.contributor.daisngid3899512-
dc.contributor.daisngid2744923-
dc.contributor.daisngid788704-
dc.identifier.investigatorRIDC-8681-2018-
dc.identifier.investigatorRIDNo ID-
dc.identifier.eisbn978-3-319-23344-4-
dc.utils.revisionen_US
dc.identifier.supplement0302-9743-
dc.identifier.ulpgcNoen_US
dc.identifier.ulpgcNoen_US
dc.identifier.ulpgcNoen_US
dc.identifier.ulpgcNoen_US
dc.description.sjr0,328
dc.description.sjrqQ3
dc.description.spiqQ1
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUIBS: Tecnología Médica y Audiovisual-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.orcid0000-0003-4452-0414-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameBermúdez I Badía,Sergi-
crisitem.event.eventsstartdate30-08-2015-
crisitem.event.eventsenddate02-09-2015-
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