dc.creator | Molina Cantero, Alberto Jesús | es |
dc.creator | Gómez González, Isabel María | es |
dc.creator | Guerrero, Jaime | es |
dc.creator | Merino Monge, Manuel | es |
dc.creator | Castro García, Juan Antonio | es |
dc.creator | Quesada Tabares, Roylán | es |
dc.creator | Berrazueta Alvarado, Santiago | es |
dc.creator | Hermoso de Mendoza, María | es |
dc.date.accessioned | 2018-07-24T09:44:56Z | |
dc.date.available | 2018-07-24T09:44:56Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Molina 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.isbn | 978-989-758-268-4 | es |
dc.identifier.uri | https://hdl.handle.net/11441/77554 | |
dc.description.abstract | This 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.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | SciTePress Digital Library | es |
dc.relation.ispartof | PhyCS 2017: 4th International Conference on Physiological Computing Systems (2017), p 76-83 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Attention | es |
dc.subject | Biofeedback | es |
dc.subject | BCI | es |
dc.subject | HRV | es |
dc.subject | GSR | es |
dc.subject | EDA | es |
dc.subject | SC | es |
dc.subject | Affordable Devices | es |
dc.title | A Hardware/Software Platform to Acquire Bioelectrical Signals. A Case Study: Characterizing Computer Access through Attention | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.publisherversion | http://www.scitepress.org/PublicationsDetail.aspx?ID=qJuIer8IgIU=&t=1 | es |
dc.identifier.doi | 10.5220/0006412200760083 | es |
dc.contributor.group | Universidad de Sevilla. TIC022: Tecnologías para la asistencia, la integración y la salud | |
idus.format.extent | 8 | es |
dc.publication.initialPage | 76 | es |
dc.publication.endPage | 83 | es |
dc.eventtitle | PhyCS 2017: 4th International Conference on Physiological Computing Systems | es |
dc.eventinstitution | Madrid, España | es |
dc.relation.publicationplace | Sétubal, Portugal | es |