Improving the accuracy of mu rhythm-based brain-computer interface that uses color stimulus
色彩効果によるμリズムを用いたBCIの意思判読精度向上

Mao Onishi, Takamasa Shimada
2021 Transactions of Japanese Society for Medical and Biological Engineering  
Mu rhythm, which is one of the characteristic waves of EEG, has been studied for applying EEGbased brain-computer interfaces (BCI) because it is attenuated when he or she visualizes performing a motor action. However, even now, the accuracy of the
doi:10.11239/jsmbe.annual59.783 fatcat:qiumn4jworaexmaafamykd54zi