JavaScript is disabled for your browser. Some features of this site may not work without it.

    Listar

    Todo RIUMAComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentrosDepartamentos/InstitutosEditoresEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentrosDepartamentos/InstitutosEditores

    Mi cuenta

    AccederRegistro

    Estadísticas

    Ver Estadísticas de uso

    DE INTERÉS

    Datos de investigaciónReglamento de ciencia abierta de la UMAPolítica de RIUMAPolitica de datos de investigación en RIUMAOpen Policy Finder (antes Sherpa-Romeo)Dulcinea
    Preguntas frecuentesManual de usoContacto/Sugerencias
    Ver ítem 
    •   RIUMA Principal
    • Investigación
    • Ponencias, Comunicaciones a congresos y Pósteres
    • Ver ítem
    •   RIUMA Principal
    • Investigación
    • Ponencias, Comunicaciones a congresos y Pósteres
    • Ver ítem

    Exploring the impact of stimulus transparency in ERP-BCI under RSVP.

    • Autor
      Fernández-Rodríguez, ÁlvaroAutoridad Universidad de Málaga; Velasco-Álvarez, Francisco JavierAutoridad Universidad de Málaga; Alvarez, Chloé; Langin, Célia; Letouzé, Théodore; André, Jean-Marc; Ron-Angevin, RicardoAutoridad Universidad de Málaga
    • Fecha
      2024
    • Editorial/Editor
      ACM Library Digital
    • Palabras clave
      Interfaces cerebro-ordenador
    • Resumen
      Rapid serial visual presentation (RSVP) is currently one of the most suitable paradigms for implementing a visual brain–computer interface based on event-related potentials (ERP-BCI) for patients with limited ocular motility. This paradigm presents stimuli centered in the user’s field of vision, which may hinder the patient from attending to other elements on the screen. A potential solution to this could be the use of semi-transparent stimuli, allowing both the stimulus and the background to be perceived. Therefore, the objective of this study is to evaluate the impact of stimulus transparency on ERP-BCI performance under the RSVP paradigm. Five participants tested the ERP-BCI under RSVP using three different stimulus transparencies with alpha channels set to 255 (C1), 85 (C2), and 28 (C3). The results showed the following average BCI classification accuracies: C1, 70%; C2, 74.67%; and C3, 60.67%. Although the analyses did not reveal significant differences, the results suggest that the transparency level should be carefully manipulated to maintain a balance between stimulus transparency and performance, with C2 even exhibiting the highest accuracy among the conditions. This finding should be considered by future ERP-BCI proposals aimed at users who need gaze-independent systems.
    • URI
      https://hdl.handle.net/10630/32068
    • Compartir
      RefworksMendeley
    Mostrar el registro completo del ítem
    Ficheros
    rsvp_trans_congress_preprint.pdf (964.1Kb)
    Colecciones
    • Ponencias, Comunicaciones a congresos y Pósteres

    Estadísticas

    Buscar en Dimension
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
     

     

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA