Group ensemble learning enhances the accuracy and convenience of SSVEP-based BCIs via exploiting inter-subject information

• Published in: Biomedical signal processing and control Vol. 68; p. 102797
• Main Authors: Tong, Changkai, Wang, Huali, Yang, Chen, Ni, Xue
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.07.2021
• Subjects: Brain–computer interfaces (BCIs); Canonical correlation analysis (CCA); Steady-state visual evoked potential (SSVEP); Task-related component analysis (TRCA); Brain–computer interfaces (BCIs); Steady-state visual evoked potential (SSVEP); Task-related component analysis (TRCA); Canonical correlation analysis (CCA)

Over the past years, Steady-state visual evoked potential (SSVEP) is widely used in brain–computer interfaces (BCIs) due to its high efficiency, robustness and convenience. Although the ensemble task-related component analysis (eTRCA) is a state-of-the-art signal processing algorithm for SSVEP signa...