.png){kind=icon}
返回
A binary motor imagery tasks based brain-computer interface for two-dimensional movement control
.png){kind=icon}
OA
AI
DOI：10.1088/1741-2552/aa7ee9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Objective. Two-dimensional movement control is a popular issue in brain-computer interface (BCI) research and has many applications in the real world. In this paper, we introduce a combined control strategy to a binary class-based BCI system that allows the user to move a cursor in a two-dimensional (2D) plane. Users focus on a single moving vector to control 2D movement instead of controlling vertical and horizontal movement separately. Approach. Five participants took part in a fixed-target experiment and random-target experiment to verify the effectiveness of the combination control strategy under the fixed and random routine conditions. Both experiments were performed in a virtual 2D dimensional environment and visual feedback was provided on the screen. Main results. The five participants achieved an average hit rate of 98.9% and 99.4% for the fixed-target experiment and the random-target experiment, respectively. Significance. The results demonstrate that participants could move the cursor in the 2D plane effectively. The proposed control strategy is based only on a basic two-motor imagery BCI, which enables more people to use it in real-life applications.
Keyword:
brain-computer interface
motor imagery
2-dimensional movement control
期刊
IF:
3.8
论文数:
4.0K
被引数:
1.4W
机构
引用论文
Comparative Study of Online Open Circuit Voltage Estimation Techniques for State of Charge Estimation of Lithium-Ion Batteries.png)
Batteries
OAAI
BatteriesIF0
OAAI分享收藏AGGREGATION OF SPARSE LINEAR DISCRIMINANT ANALYSES FOR EVENT-RELATED POTENTIAL CLASSIFICATION IN BRAIN-COMPUTER INTERFACE用于脑机接口中事件相关电位分类的稀疏线性判别分析的聚合
PREAI
分享收藏分享收藏
查看更多内容