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Usability and cost effectiveness in brain-computer interaction: is it user throughput or technology related?

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dc.contributor.authorVourvopoulos, Athanasios
dc.contributor.authorBermúdez i Badia, Sergi
dc.date.accessioned2019-12-06T16:23:11Z
dc.date.available2019-12-06T16:23:11Z
dc.date.issued2016
dc.description.abstractIn recent years, Brain-Computer Interfaces (BCIs) have been steadily gaining ground in the market, used either as an implicit or explicit input method in computers for accessibility, entertainment or rehabilitation. Past research in BCI has heavily neglected the human aspect in the loop, focusing mostly in the machine layer. Further, due to the high cost of current BCI systems, many studies rely on low-cost and low-quality equipment with difficulties to provide significant advancements in physiological computing. OpenSource projects are offered as alternatives to expensive medical equipment. Nevertheless, the effectiveness of such systems over their cost is still unclear, and whether they can deliver the same level of experience as their more expensive counterparts. In this paper, we demonstrate that effective BCI interaction in a Motor-Imagery BCI paradigm can be accomplished without requiring high-end/high-cost devices, by analyzing and comparing EEG systems ranging from open source devices to medically certified systems.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVourvopoulos, A., Bermúdez i Badia, S. (2016). Usability and cost-effectiveness in brain-computer interaction: is it user throughput or technology related?. In Proceedings of the 7th Augmented Human International Conference 2016. ACM.pt_PT
dc.identifier.doi10.1145/2875194.2875244pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/2629
dc.language.isoengpt_PT
dc.publisherAssociation for Computing Machinerypt_PT
dc.relationMULTIMODAL NEURO-ROBOTIC VR SYSTEM FOR STROKE REHABILITATION
dc.subjectBrain-computer interactionpt_PT
dc.subjectEEGpt_PT
dc.subjectMotor-imagerypt_PT
dc.subjectCost effectivenesspt_PT
dc.subjectUsabilitypt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleUsability and cost effectiveness in brain-computer interaction: is it user throughput or technology related?pt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleMULTIMODAL NEURO-ROBOTIC VR SYSTEM FOR STROKE REHABILITATION
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F97117%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50009%2F2013/PT
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleProceedings of the 7th Augmented Human International Conference 2016pt_PT
oaire.fundingStream5876
person.familyNameVourvopoulos
person.familyNameBermúdez i Badia
person.givenNameAthanasios
person.givenNameSergi
person.identifier279446
person.identifier239789
person.identifier.ciencia-id5813-A481-A9D3
person.identifier.ciencia-idCA17-5E88-2B37
person.identifier.orcid0000-0001-9676-8599
person.identifier.orcid0000-0003-4452-0414
person.identifier.ridF-3872-2017
person.identifier.ridC-8681-2018
person.identifier.scopus-author-id48762198300
person.identifier.scopus-author-id6506360007
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicationef8f1e3b-3c09-4817-80d0-d96aa88051a2
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