A Speedy Calibration Method Using Riemannian Geometry Measurement and Other-Subject Samples on A P300 Speller

Yuqi Xue
Yuqi Xue
Lichao Xu
Lichao Xu
Yong Cao
Yong Cao
Xuejun Jiao
Xuejun Jiao

IEEE Transactions on Neural Systems and Rehabilitation Engineering, pp. 602-608, 2018.

Cited by: 0|Bibtex|Views10|DOI:https://doi.org/10.1109/TNSRE.2018.2801887
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

P300 spellers are among the most popular brain-computer interface paradigms, and they are used for many clinical applications. However, building the classifier for identifying event-related potential (ERP) responses, i.e., calibrating the P300 speller, is still a time-consuming and user-dependent problem. This paper proposes a novel metho...More

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