Spectrum and phase adaptive CCA for SSVEP-based brain computer interface

• Main Authors: Zhang, Zhuo, Wang, Chuanchu, Ang, Kai Keng, Wai, Aung Aung Phyo, Guan, Cuntai
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2020
• 主題: Engineering::Computer science and engineering; Brain Computer Interfaces; Steady State Visual Evoked Potential
• 在線閱讀: https://hdl.handle.net/10356/137268

Among various brain activity patterns, Steady State Visual Evoked Potential (SSVEP) based Brain Computer Inter-face (BCI) requires the least training time while carrying the fastest information transfer rate, making it highly suitable for deploying efficient self-paced BCI systems. In this study, we...