Mostrar o rexistro simple do ítem
Selection of sEMG-based Configuration for a Hand Gesture Recognition System
dc.contributor.author | Vázquez Araújo, Francisco Javier | |
dc.contributor.author | Dapena, Adriana | |
dc.contributor.author | Laport López, Francisco | |
dc.contributor.author | Castro-Castro, Paula-María | |
dc.contributor.author | Iglesia, Daniel I. | |
dc.date.accessioned | 2024-09-19T13:07:05Z | |
dc.date.available | 2024-09-19T13:07:05Z | |
dc.date.issued | 2024-08 | |
dc.identifier.citation | Vázquez-Araujo, F. J., Dapena, A., Laport F. et al. Selection of sEMG-based Configuration for a Hand Gesture Recognition System. Proceeeing of 32nd European Signal Processing Conference EUSIPCO 2024, 2024, 1641-1645. https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0001641.pdf | es_ES |
dc.identifier.isbn | 978-9-4645-9361-7 | |
dc.identifier.uri | http://hdl.handle.net/2183/39128 | |
dc.description.abstract | [Abstract]: In recent decades, extensive research has been conducted on the analysis of Electromyography (EMG) signals, aiming to establish a novel communication pathway that utilizes the electrical activity generated by muscle contractions to control external devices. However, determining the optimal configuration for such systems in a given scenario remains as a challenging task. The challenges arise from two main factors: the growing number of available feature extraction methods and classification algorithms, and the necessity of designing control systems that prioritize user comfort, with considerations such as a reduced number of electrodes and fast reaction times. In this paper we propose a method to determine the most suitable configuration for an EMG system by considering three crucial parameters in control systems: reaction time, accuracy, and the required number of channels. | es_ES |
dc.description.sponsorship | Xunta de Galicia (grants ED431C 2020/15 and ED481B 2022/012), MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR (grant TED2021-130240B-I00 (IVRY)). CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021-27 operational program (Ref. ED431G 2023/01). | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2020/15 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED481B 2022/012 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2023/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-130240B-I00/ES/DETECCIÓN INTEGRADA DE VÍDEO Y RADAR PARA EL POSICIONAMIENTO EN INTERIORES DE PERSONAS SIN DISPOSITIVOS Y CON GARANTÍA DE PRIVACIDAD BASADA EN edge AI. | es_ES |
dc.relation.uri | https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0001641.pdf | es_ES |
dc.subject | Control systems | es_ES |
dc.subject | Electromyography | es_ES |
dc.subject | Hand gestures | es_ES |
dc.title | Selection of sEMG-based Configuration for a Hand Gesture Recognition System | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Proceeeing of 32nd European Signal Processing Conference EUSIPCO 2024 | es_ES |
UDC.startPage | 1641 | es_ES |
UDC.endPage | 1645 | es_ES |
UDC.conferenceTitle | EUSIPCO 2024: 32nd European Signal Processing Conference | es_ES |