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dc.creatorMolina Cantero, Alberto Jesúses
dc.creatorGómez González, Isabel Maríaes
dc.creatorGuerrero, Jaimees
dc.creatorMerino Monge, Manueles
dc.creatorCastro García, Juan Antonioes
dc.creatorQuesada Tabares, Roylánes
dc.creatorBerrazueta Alvarado, Santiagoes
dc.creatorHermoso de Mendoza, Maríaes
dc.date.accessioned2018-07-24T09:44:56Z
dc.date.available2018-07-24T09:44:56Z
dc.date.issued2017
dc.identifier.citationMolina Cantero, A.J., Gómez González, I.M., Guerrero, J., Merino Monge, M., Castro García, J.A., Quesada, R.,...,Hermoso de Mendoza, M. (2017). A Hardware/Software Platform to Acquire Bioelectrical Signals. A Case Study: Characterizing Computer Access through Attention. En PhyCS 2017: 4th International Conference on Physiological Computing Systems (76-83), Madrid, España: SciTePress Digital Library.
dc.identifier.isbn978-989-758-268-4es
dc.identifier.urihttps://hdl.handle.net/11441/77554
dc.description.abstractThis paper describes a hardware/software platform to acquire human body signals. In the field of physiological computing it is desirable to have a system that allows the synchronized acquisition of signals coming from different sources. Here is described how to unify the whole process of acquiring signals from both customized hardware and low cost commercial devices such as Neurosky’s mindwave. A case study using this platform is also shown: studying the feasibility of using sustained attention to access a computer. In order to do that brain activity was measured using Neurosky’s mindwave. The participants in this study were asked to keep their attention high/low for as long as possible during several trials. Experimentation was performed by 7 normally developed subjects and 3 people with cerebral palsy (CP). Our preliminary work shows that 60% of participants might be potential users of this technology. Eventually, modulating the attention to access a communication board needs a scanning period greater than 5.76s.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSciTePress Digital Libraryes
dc.relation.ispartofPhyCS 2017: 4th International Conference on Physiological Computing Systems (2017), p 76-83
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAttentiones
dc.subjectBiofeedbackes
dc.subjectBCIes
dc.subjectHRVes
dc.subjectGSRes
dc.subjectEDAes
dc.subjectSCes
dc.subjectAffordable Deviceses
dc.titleA Hardware/Software Platform to Acquire Bioelectrical Signals. A Case Study: Characterizing Computer Access through Attentiones
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.publisherversionhttp://www.scitepress.org/PublicationsDetail.aspx?ID=qJuIer8IgIU=&t=1es
dc.identifier.doi10.5220/0006412200760083es
dc.contributor.groupUniversidad de Sevilla. TIC022: Tecnologías para la asistencia, la integración y la salud
idus.format.extent8es
dc.publication.initialPage76es
dc.publication.endPage83es
dc.eventtitlePhyCS 2017: 4th International Conference on Physiological Computing Systemses
dc.eventinstitutionMadrid, Españaes
dc.relation.publicationplaceSétubal, Portugales

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