AMBER: advancing multimodal brain-computer interfaces for enhanced robustness-A dataset for naturalistic settings

Muhammad Ahsan Awais; Peter Redmond; Tomas Emmanuel Ward; Graham Healy

doi:10.3389/fnrgo.2023.1216440

AMBER: advancing multimodal brain-computer interfaces for enhanced robustness-A dataset for naturalistic settings

Front Neuroergon. 2023 Aug 24:4:1216440. doi: 10.3389/fnrgo.2023.1216440. eCollection 2023.

Authors

Muhammad Ahsan Awais¹, Peter Redmond¹, Tomas Emmanuel Ward¹, Graham Healy¹

Affiliation

¹ Insight Science Foundation Ireland Research Centre for Data Analytics, School of Computing, Dublin City University, Dublin, Ireland.

No abstract available

Keywords: BCI; EEG; EEG dataset; P300 ERPs; RSVP; artifacts; noise; signal denoising.

Grants and funding

This work was funded by Science Foundation Ireland under Grant Number SFI/12/RC/2289_P2 and CHIST-ERA under Grant Number (CHISTERA IV 2020 - PCI2021-122058-2A).