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dc.contributor.author | Quiles Cucarella, Eduardo | es_ES |
dc.contributor.author | Dadone, Javier | es_ES |
dc.contributor.author | Chio, Nayibe | es_ES |
dc.contributor.author | García Moreno, Emilio | es_ES |
dc.date.accessioned | 2023-10-25T18:02:34Z | |
dc.date.available | 2023-10-25T18:02:34Z | |
dc.date.issued | 2022-07 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/198812 | |
dc.description.abstract | [EN] Robotics has been successfully applied in the design of collaborative robots for assistance to people with motor disabilities. However, man-machine interaction is difficult for those who suffer severe motor disabilities. The aim of this study was to test the feasibility of a low-cost robotic arm control system with an EEG-based brain-computer interface (BCI). The BCI system relays on the Steady State Visually Evoked Potentials (SSVEP) paradigm. A cross-platform application was obtained in C++. This C++ platform, together with the open-source software Openvibe was used to control a Staubli robot arm model TX60. Communication between Openvibe and the robot was carried out through the Virtual Reality Peripheral Network (VRPN) protocol. EEG signals were acquired with the 8-channel Enobio amplifier from Neuroelectrics. For the processing of the EEG signals, Common Spatial Pattern (CSP) filters and a Linear Discriminant Analysis classifier (LDA) were used. Five healthy subjects tried the BCI. This work allowed the communication and integration of a well-known BCI development platform such as Openvibe with the specific control software of a robot arm such as Staubli TX60 using the VRPN protocol. It can be concluded from this study that it is possible to control the robotic arm with an SSVEP-based BCI with a reduced number of dry electrodes to facilitate the use of the system. | es_ES |
dc.description.sponsorship | Funding for open access charge: Universitat Politecnica de Valencia. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Sensors | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Brain computer interface (BCI) | es_ES |
dc.subject | Electroencephalography (EEG) | es_ES |
dc.subject | Steady-State Visually Evoked Potential (SSVEP) | es_ES |
dc.subject | Robot control | es_ES |
dc.subject | C++ | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Cross-Platform Implementation of an SSVEP-Based BCI for the Control of a 6-DOF Robotic Arm | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/s22135000 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Quiles Cucarella, E.; Dadone, J.; Chio, N.; García Moreno, E. (2022). Cross-Platform Implementation of an SSVEP-Based BCI for the Control of a 6-DOF Robotic Arm. Sensors. 22(13):1-26. https://doi.org/10.3390/s22135000 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/s22135000 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 26 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 22 | es_ES |
dc.description.issue | 13 | es_ES |
dc.identifier.eissn | 1424-8220 | es_ES |
dc.identifier.pmid | 35808498 | es_ES |
dc.identifier.pmcid | PMC9269816 | es_ES |
dc.relation.pasarela | S\468533 | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
dc.subject.ods | 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades | es_ES |