Journal article
Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design
SCIENTIFIC REPORTS, v 12(1), 8865
25 May 2022
PMID: 35614168
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Steady-States Visually Evoked Potentials (SSVEP) refer to the sustained rhythmic activity observed in surface electroencephalography (EEG) in response to the presentation of repetitive visual stimuli (RVS). Due to their robustness and rapid onset, SSVEP have been widely used in Brain Computer Interfaces (BCI). However, typical SSVEP stimuli are straining to the eyes and present risks of triggering epileptic seizures. Reducing visual stimuli contrast or extending their frequency range both appear as relevant solutions to address these issues. It however remains sparsely documented how BCI performance is impacted by these features and to which extent user experience can be improved. We conducted two studies to systematically characterize the effects of frequency and amplitude depth reduction on SSVEP response. The results revealed that although high frequency stimuli improve visual comfort, their classification performance were not competitive enough to design a reliable/responsive BCI. Importantly, we found that the amplitude depth reduction of low frequency RVS is an effective solution to improve user experience while maintaining high classification performance. These findings were further validated by an online T9 SSVEP-BCI in which stimuli with 40% amplitude depth reduction achieved comparable results (>90% accuracy) to full amplitude stimuli while significantly improving user experience.
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Details
- Title
- Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design
- Publication Details
- SCIENTIFIC REPORTS, v 12(1), 8865
- Publisher
- NATURE PORTFOLIO; BERLIN
- Grant note
- This research was funded by the Agence Innovation Defense of the Direction Generale de l'Armement. The authors would also like to acknowledge the Artificial and Natural Intelligence Toulouse Institute (ANITI) and the Axa Research fund Neuroergonomics chair for flight safety for currently funding our team.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000802776400020
- Scopus ID
- 2-s2.0-85130723027
- Other Identifier
- 991021861308304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical