期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Overview of recognition methods for SSVEP-based BCIs in World Robot Contest 2022: MATLAB undergraduate group 被引量:1
1
作者 chengzhi yi Yuxuan Wu +2 位作者 Fan Ye Xinchen Zhang Jingjing Chen 《Brain Science Advances》 2023年第3期224-236,共13页
The steady-state visual evoked potential(SSVEP)-based speller has emerged as a widely adopted paradigm in current brain–computer interface(BCI) systems due to its rapid processing and consistent performance across di... The steady-state visual evoked potential(SSVEP)-based speller has emerged as a widely adopted paradigm in current brain–computer interface(BCI) systems due to its rapid processing and consistent performance across different individuals. Calibration-free SSVEP algorithms, as opposed to their calibration-based counterparts, offer clear and intuitive mathematical principles, making them accessible to novice developers. During the World Robot Contest(WRC)2022, participants in the undergraduate category utilized various approaches to accomplish target detection in the calibration-free setting, successfully implementing the algorithms using MATLAB.The winning approach achieved an average information transfer rate of 198.94 bits/min in the final test, which is notably high given the calibration-free scenario. This paper presents an introduction to the underlying principles of the selected methods, accompanied by a comparison of their effectiveness through analysis of results from both the final test and offline experiments. Additionally, we propose that the youth competition of WRC could serve as an ideal starting point for beginners interested in studying and developing their own BCI systems. 展开更多
关键词 brain-computer interfaces ELECTROENCEPHALOGRAM steady-state visual evoked potential BCI spellers calibration-free MATLAB
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部