Journal article
Leveraging textured flickers: a leap toward practical, visually comfortable, and high-performance dry EEG code-VEP BCI
Journal of neural engineering, v 21(6), 066023
01 Dec 2024
PMID: 39500051
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Objective. Reactive brain-computer interfaces typically rely on repetitive visual stimuli, which can strain the eyes and cause attentional distraction. To address these challenges, we propose a novel approach rooted in visual neuroscience to design visual Stimuli for Augmented Response (StAR). The StAR stimuli consist of small randomly-oriented Gabor or Ricker patches that optimize foveal neural response while reducing peripheral distraction. Approach. In a factorial design study, 24 participants equipped with an 8-dry electrode EEG system focused on series of target flickers presented under three formats: traditional Plain flickers, Gabor-based, or Ricker-based flickers. These flickers were part of a five-class code visually evoked potentials paradigm featuring low frequency, short, and aperiodic visual flashes. Main results. Subjective ratings revealed that Gabor and Ricker stimuli were visually comfortable and nearly invisible in peripheral vision compared to plain flickers. Moreover, Gabor and Ricker-based textures achieved higher accuracy (93.6% and 96.3%, respectively) with only 88 s of calibration data, compared to plain flickers (65.6%). A follow-up online implementation of this experiment was conducted to validate our findings within the frame of naturalistic operations. During this trial, remarkable accuracies of 97.5% in a cued task and 94.3% in an asynchronous digicode task were achieved, with a mean decoding time as low as 1.68 s. Significance. This work demonstrates the potential to expand BCI applications beyond the lab by integrating visually unobtrusive systems with gel-free, low density EEG technology, thereby making BCIs more accessible and efficient. The datasets, algorithms, and BCI implementations are shared through open-access repositories.
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Details
- Title
- Leveraging textured flickers: a leap toward practical, visually comfortable, and high-performance dry EEG code-VEP BCI
- Creators
- Frederic Dehais (Corresponding Author) - Université Fédérale de Toulouse Midi-PyrénéesKalou Cabrera Castillos - École Nationale de l’Aviation CivileSimon Ladouce - Allen Institute for Brain SciencePierre Clisson - Techniques of Informatics and Microelectronics for Integrated Systems Architecture
- Publication Details
- Journal of neural engineering, v 21(6), 066023
- Publisher
- IOP Publishing
- Number of pages
- 14
- Grant note
- ANITI
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering and Science
- Web of Science ID
- WOS:001370079300001
- Scopus ID
- 2-s2.0-85211066623
- Other Identifier
- 991022202518704721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical
- Neurosciences