Optimizing filter-bank canonical correlation analysis for fast response SSVEP Brain-Computer Interface (BCI)

• المؤلفون الرئيسيون: Phyo Wai, Aung Aung, Guo, Heng, Chi, Ying, Zhang, Lei, Hua, Xian-Sheng, Guan, Cuantai
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Steady State Visual Evoked Potentials; Filter Banks
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/147516

Steady-State Visual Evoked Potential (SSVEP) BCI brings high accuracy and consistent performance across subjects at the expense of a long stimulus presentation time window. Several recent methods exploited subject-specific features to improve SSVEP recognition performance in a short time window less...