dc.contributor.author | Laport López, Francisco | |
dc.contributor.author | Castro-Castro, Paula-María | |
dc.contributor.author | Dapena, Adriana | |
dc.contributor.author | Vázquez Araújo, Francisco Javier | |
dc.contributor.author | Fresnedo, Óscar | |
dc.date.accessioned | 2021-07-09T16:07:27Z | |
dc.date.available | 2021-07-09T16:07:27Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Laport, F.; Castro, P.M.; Dapena, A.; Vazquez-Araujo, F.J.; Fresnedo, O. Eye State Identification Based on Discrete Wavelet Transforms. Appl. Sci. 2021, 11, 5051. https://doi.org/10.3390/app11115051 | es_ES |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/2183/28175 | |
dc.description.abstract | [Abstract]: We present a prototype to identify eye states from electroencephalography signals captured from one or two channels. The hardware is based on the integration of low-cost components, while the signal processing algorithms combine discrete wavelet transform and linear discriminant analysis. We consider different parameters: nine different wavelets and two features extraction strategies. A set of experiments performed in real scenarios allows to compare the performance in order to determine a configuration with high accuracy and short response delay. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2020/15 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G2019/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED481A-2018/156 | es_ES |
dc.description.sponsorship | This work has been funded by the Xunta de Galicia (by grant ED431C 2020/15 and grant ED431G2019/01 to support the Centro de Investigación de Galicia “CITIC”), the Agencia Estatal de Investigación of Spain (by grants RED2018-102668-T and PID2019-104958RB-C42) and ERDF funds of the EU (FEDER Galicia & AEI/FEDER, UE); and the predoctoral Grant No. ED481A-2018/156 (Francisco Laport). | |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RED2018-102668-T/ES/ | |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104958RB-C42/ES/AVANCES EN CODIFICACION Y PROCESADO DE SEÑAL PARA LA SOCIEDAD DIGITAL | |
dc.relation.uri | https://doi.org/10.3390/app11115051 | es_ES |
dc.rights | Atribución 4.0 International (CC BY 4.0) | es_ES |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Discrete wavelet transforms | es_ES |
dc.subject | DWT | es_ES |
dc.subject | Electroencephalography | es_ES |
dc.subject | EEG | es_ES |
dc.subject | Linear discriminant analysis | es_ES |
dc.subject | LDA | es_ES |
dc.subject | Ocular states | es_ES |
dc.title | Eye State Identification Based on Discrete Wavelet Transforms | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Applied Sciences | es_ES |
UDC.volume | 11 | es_ES |
UDC.issue | 11 | es_ES |
dc.identifier.doi | 10.3390/app11115051 | |