Enhancing training performance for brain–computer interface with object-directed 3D visual guidance

Purpose The 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 in...

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Vydané v:	International journal for computer assisted radiology and surgery Ročník 11; číslo 11; s. 2129 - 2137
Hlavní autori:	Liang, Shuang, Choi, Kup-Sze, Qin, Jing, Pang, Wai-Man, Heng, Pheng-Ann
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2016 Springer Nature B.V
Predmet:	Adult Brain-Computer Interfaces Classification Computer Imaging Computer Science Electroencephalography - methods Female Health Informatics Human-computer interface Humans Imaging Male Medicine Medicine & Public Health Original Article Patient Education as Topic Pattern Recognition and Graphics Radiology Reproducibility of Results Surgery Virtual environments Vision Visual effects Electroencephpalogram (EEG) Visual guidance User training Single-subject paradigm Motor imagery Multi-subject paradigm Brain–computer interface (BCI)
ISSN:	1861-6410, 1861-6429, 1861-6429
On-line prístup:	Získať plný text
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