Steady state visually evoked potentials (SSVEPs) are a popular type of control signals in brain-computer interfaces (BCIs), in which they are typically elicited by observing a visual stimulus flashing at a specific frequency. For some patients, using SSVEP as control signal for a BCI can be difficult, for instance if they are unable to focus their gaze over the visual stimuli. To address this issue, some approaches were presented to design a gaze-independent SSVEP-controlled BCI but some difficulties have been reported, for instance for patients suffering from locked-in syndrome. In this work we employ a visual imagery (VI) signal, in which the visual stimulus is imagined instead of observed, to drive a BCI system and offer an alternative for patients that encounter issues with standard SSVEP approaches. We tested the proposed approach with 20 untrained subjects within a 3-classes BCI resulting in an offline classification accuracy of 60.93%. These results demonstrate how this gaze-independent BCI can be used by inexperienced BCI users.
A visual imagery paradigm for BCI strategies using imagined flickering patterns / Priori, Simone; Ricci, Paolo; Consoli, Davide; Micheli, Arturo; Merlini, Adrien; Andriulli, Francesco P.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 16:1(2026). [10.1038/s41598-026-41324-6]
A visual imagery paradigm for BCI strategies using imagined flickering patterns
Priori, Simone;Ricci, Paolo;Micheli, Arturo;Andriulli, Francesco P.
2026
Abstract
Steady state visually evoked potentials (SSVEPs) are a popular type of control signals in brain-computer interfaces (BCIs), in which they are typically elicited by observing a visual stimulus flashing at a specific frequency. For some patients, using SSVEP as control signal for a BCI can be difficult, for instance if they are unable to focus their gaze over the visual stimuli. To address this issue, some approaches were presented to design a gaze-independent SSVEP-controlled BCI but some difficulties have been reported, for instance for patients suffering from locked-in syndrome. In this work we employ a visual imagery (VI) signal, in which the visual stimulus is imagined instead of observed, to drive a BCI system and offer an alternative for patients that encounter issues with standard SSVEP approaches. We tested the proposed approach with 20 untrained subjects within a 3-classes BCI resulting in an offline classification accuracy of 60.93%. These results demonstrate how this gaze-independent BCI can be used by inexperienced BCI users.| File | Dimensione | Formato | |
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A visual imagery paradigm for BCI strategies using imagined flickering patterns.pdf
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https://hdl.handle.net/11583/3010802
