title: Toward non-hair-bearing brain-computer interfaces for neurocognitive lapse detection.
abstract: Recent advances in mobile electroencephalogram (EEG) acquisition based on dry electrodes have started moving Brain-Computer Interface (BCI) applications from well-controlled laboratory settings to real-world environments. However, the application mechanisms and high impedance of dry electrodes over the hair-covered areas remain challenging for everyday use of BCI. In addition, whole-scalp recordings are not always necessary or applicable due to various practical constrains. Therefore, alternative montages for EEG recordings to meet the everyday needs are in-demand. Inspired by our previous work on measuring non-hair-bearing steady state visual evoked potentials for BCI applications, this study explores the feasibility and efficacy of detecting cognitive lapses of participants based on EEG signals collected from the non-hair-bearing areas. Study results suggest that informative EEG features associated with lapses could be assessed from non-hair-bearing areas with comparable accuracy obtained from the whole-scalp EEG. The design principles, validation processes and promising findings reported in this study may enable and/or facilitate numerous BCI applications in real-world environments.
authors.forename: Chun-Shu
authors.initials: CS
authors.lastname: Wei
authors.forename: Yu-Te
authors.initials: YT
authors.lastname: Wang
authors.forename: Chin-Teng
authors.initials: CT
authors.lastname: Lin
authors.forename: Tzyy-Ping
authors.initials: TP
authors.lastname: Jung
mesh_terms: D062207:Brain-Computer Interfaces; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006197:Hair / Q000502:physiology*; D006801:Humans; D012535:Scalp / Q000502:physiology*