Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience

Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience

The utilization of aperiodic flickering visual stimuli under the form of code-modulated Visual Evoked Potentials (c-VEP) represents a pivotal advancement in the field of reactive Brain–Computer Interface (rBCI). A major advantage of the c-VEP approach is that the training of the model is independent...

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Bibliographic Details
Main Authors: Kalou Cabrera Castillos, Simon Ladouce, Ludovic Darmet, Frédéric Dehais
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:NeuroImage
Subjects:
Code-VEP
Reactive BCI
CNN
Amplitude depth reduction
Visual comfort
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923005979

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http://www.sciencedirect.com/science/article/pii/S1053811923005979

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