论文信息 - A Training System for Brain-Computer Interfaces Based on Motor Imagery Selection

A Training System for Brain-Computer Interfaces Based on Motor Imagery Selection

This paper proposes a BCI training system based on motor imagery selection. The system selects discriminable motor imagery tasks based on the partial KL information theory and provides related feedback training. Results from training experiments showed a gradual increase in repeatability for all subjects in selected motor imagery tasks.

Toshio Tsuji | Yuki Koizumi | Taro Shibanoki

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