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

• المؤلفون الرئيسيون: Zhang, Zhuo, Wang, Chuanchu, Ang, Kai Keng, Wai, Aung Aung Phyo, Guan, Cuntai
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Brain Computer Interfaces; Steady State Visual Evoked Potential
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/137268
• المؤسسة: Nanyang Technological University

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...