Improve P300 Speller Performance by Changing Stimulus Onset Asynchrony (SOA) Without Retraining the Subject-Independent Model

P300 speller is a famous brain-computer interface (BCI) method, which translates mental attention by identifying the event-related potentials evoked by target stimulus. To improve its efficiency, subject-independent classification models and dynamical stopping strategies have been introduced into P3...

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Bibliografische Detailangaben

Hauptverfasser:	Yuqi Xue, Jiabei Tang, Feng He, Minpeng Xu, Hongzhi Qi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2019-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Brain Computer Interface P300 Speller Stimulus Onset Asynchrony Subject-Independent Model
Online-Zugang:	https://ieeexplore.ieee.org/document/8830444/
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