Brief: CAS brain-computer interface decoding advance, world's first flying bicycle debuts, liquid robot can split, and more

The Tang Fengzhen research group at the Shenyang Institute of Automation, Chinese Academy of Sciences, proposed an EEG signal decoding method based on the log-Euclidean metric Riemannian geometry. Its recognition speed is about 4 times faster than methods based on the affine-invariant Riemannian metric, and its recognition accuracy on the BCI Competition IV-2a dataset outperforms the competition's first-place entry.