Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs

• Published in: Journal of neural engineering Vol. 17; no. 1; pp. 16026 - 16043
• Main Authors: Wong, Chi Man, Wan, Feng, Wang, Boyu, Wang, Ze, Nan, Wenya, Lao, Ka Fai, Mak, Peng Un, Vai, Mang I, Rosa, Agostinho
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 06.01.2020
• Subjects: brain-computer interface; Brain-Computer Interfaces; canonical correlation analysis; Evoked Potentials, Visual - physiology; Humans; Learning - physiology; learning across multi-stimulus; Recognition, Psychology - physiology; Signal Processing, Computer-Assisted; steady-state visual evoked potential; task-related component analysis

Objective. Latest target recognition methods that are equipped with learning from the subject's calibration data, represented by the extended canonical correlation analysis (eCCA) and the ensemble task-related component analysis (eTRCA), can achieve extra high performance in the steady-state vi...