Xingyu Wang

TL;DR: Experimental study with EEG data from 10 healthy subjects demonstrates that the proposed MsetCCA method improves the recognition accuracy of SSVEP frequency in comparison with the CCA method and other two competing methods (multiway CCA (MwayCCA), especially for a small number of channels and a short time window length.

TL;DR: In this paper, a multiset canonical correlation analysis (MsetCCA) method was proposed to optimize the reference signals used in the CCA method for SSVEP frequency recognition.

TL;DR: The authors' experiments confirm that the face-sensitive event-related potential (ERP) components N170 and vertex positive potential (VPP) have reflected early structural encoding of faces and can be modulated by the configural processing of faces.

TL;DR: Objective results reaffirmed that the face paradigm is superior to the canonical flash approach that has dominated P300 BCIs for over 20 years and it is clear that the canonicalflash approach should be replaced with a face paradigm when aiming at increasing bit rate.

TL;DR: A "combined" BCI based on P300 potentials and motion-onset visual evoked potentials (M-VEPs) is introduced and compared with BCIs based on each simple approach (P300 and M-VEP) to confirm that the combined approach is practical in an online BCI and yielded better performance than the other two approaches.