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Communication Dans Un Congrès Année : 2022

Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials

Résumé

Brain-Computer Interfaces (BCIs) based on Steady State Visually Evoked Potentials (SSVEPs) have proven effective and provide significant accuracy and information- transfer rates. This family of strategies, however, requires external devices that provide the frequency stimuli required by the technique. This limits the scenarios in which they can be applied, especially when compared to other BCI approaches. In this work, we have investigated the possibility of obtaining frequency responses in the EEG output based on the pure visual imagination of SSVEP-eliciting stimuli. Our results show that not only that EEG signals present frequency-specific peaks related to the frequency the user is focusing on, but also that promising classification accuracy can be achieved, paving the way for a robust and reliable visual imagery BCI modality.

Dates et versions

hal-03942635 , version 1 (17-01-2023)

Identifiants

Citer

Arturo Micheli, Davide Consoli, Adrien Merlini, Paolo Ricci, Francesco Andriulli. Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials. EMBC 2022: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Jul 2022, Glasgow, United Kingdom. pp.222-225, ⟨10.1109/EMBC48229.2022.9870831⟩. ⟨hal-03942635⟩
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