Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces

Autor: Nicolina Sciaraffa, Gianluca Di Flumeri, Daniele Germano, Andrea Giorgi, Antonio Di Florio, Gianluca Borghini, Alessia Vozzi, Vincenzo Ronca, Fabio Babiloni, Pietro Aricò
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Human Neuroscience, Vol 16 (2022)
Druh dokumentu: article
ISSN: 1662-5161
DOI: 10.3389/fnhum.2022.901387
Popis: Technologies like passive brain-computer interfaces (BCI) can enhance human-machine interaction. Anyhow, there are still shortcomings in terms of easiness of use, reliability, and generalizability that prevent passive-BCI from entering real-life situations. The current work aimed to technologically and methodologically design a new gel-free passive-BCI system for out-of-the-lab employment. The choice of the water-based electrodes and the design of a new lightweight headset met the need for easy-to-wear, comfortable, and highly acceptable technology. The proposed system showed high reliability in both laboratory and realistic settings, performing not significantly different from the gold standard based on gel electrodes. In both cases, the proposed system allowed effective discrimination (AUC > 0.9) between low and high levels of workload, vigilance, and stress even for high temporal resolution (
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