Given the increasing demand for systems that enable seamless human-computer interaction, this study presents the design and implementation of a highly wearable Brain-Computer Interface (BCI). The proposed BCI leverages Augmented Reality (AR) technology to elicit users' Steady-State Visually Evoked Potential (SSVEP) in a more immersive manner compared to traditional state-of-the-art setups. Additionally, the employment of a portable, wireless EEG acquisition system represents a significant enhancement in terms of system wearability, thereby facilitating the adoption of BCI technology also in everyday contexts.

Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials / Angrisani, L.; Arpaia, P.; De Benedetto, E.; Duraccio, L.; Lo Regio, F.; Tedesco, A.. - (2023), pp. 58-62. (Intervento presentato al convegno 2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 tenutosi a ita nel 2023) [10.1109/MetroXRAINE58569.2023.10405702].

Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials

Angrisani L.;Arpaia P.;De Benedetto E.;Duraccio L.;Lo Regio F.;Tedesco A.
2023

Abstract

Given the increasing demand for systems that enable seamless human-computer interaction, this study presents the design and implementation of a highly wearable Brain-Computer Interface (BCI). The proposed BCI leverages Augmented Reality (AR) technology to elicit users' Steady-State Visually Evoked Potential (SSVEP) in a more immersive manner compared to traditional state-of-the-art setups. Additionally, the employment of a portable, wireless EEG acquisition system represents a significant enhancement in terms of system wearability, thereby facilitating the adoption of BCI technology also in everyday contexts.
2023
Expanding the Frontiers of Wearable Brain-Computer Interfaces Combining Augmented Reality and Visually Evoked Potentials / Angrisani, L.; Arpaia, P.; De Benedetto, E.; Duraccio, L.; Lo Regio, F.; Tedesco, A.. - (2023), pp. 58-62. (Intervento presentato al convegno 2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 tenutosi a ita nel 2023) [10.1109/MetroXRAINE58569.2023.10405702].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/989183
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