Enhancing training performance for brain–computer interface with object-directed 3D visual guidance
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- 作者：Shuang Liang ; Kup-Sze Choi ; Jing Qin…
- 关键词：Electroencephpalogram (EEG) ; Brain–computer interface (BCI) ; Motor imagery ; Visual guidance ; User training ; Single ; subject paradigm ; Multi ; subject paradigm
- 刊名：International Journal of Computer Assisted Radiology and Surgery
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：11
- 期：11
- 页码：2129-2137
- 全文大小：1,272 KB
- 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
- 出版者：Springer Berlin Heidelberg
- ISSN：1861-6429
- 卷排序：11
文摘
PurposeThe accuracy of the classification of user intentions is essential for motor imagery (MI)-based brain–computer interface (BCI). Effective and appropriate training for users could help us produce the high reliability of mind decision making related with MI tasks. In this study, we aimed to investigate the effects of visual guidance on the classification performance of MI-based BCI.