Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework

3 code implementations • 19 Feb 2022 • Zhengqing Miao, Xin Zhang, Carlo Menon, Yelong Zheng, Meirong Zhao, Dong Ming

Compared to the vanilla EEGNet and ConvNet, the proposed SDDA framework was able to boost the MI classification accuracy by 15. 2%, 10. 2% respectively in IIA dataset, and 5. 5%, 4. 2% in IIB dataset.

Domain Adaptation EEG +1