no code implementations • 2 Feb 2024 • Chenyu Liu, Xinliang Zhou, Yihao Wu, Ruizhi Yang, Liming Zhai, Ziyu Jia, Yang Liu
Besides, there is neither a comprehensive review nor guidance for constructing GNNs in EEG-based emotion recognition.
no code implementations • 17 May 2023 • Chenyu Liu, Xinliang Zhou, Yang Liu
Recently Transformer and Convolution neural network (CNN) based models have shown promising results in EEG signal processing.
no code implementations • 16 May 2023 • Xinliang Zhou, Chenyu Liu, Jiaping Xiao, Yang Liu
Specifically, we propose a well-designed spatio-temporal attention mechanism to adaptively assign weights to inter-channels and intra-channel EEG segments based on the spatio-temporal relationship of the brain during different sleep stages.
no code implementations • 26 Apr 2023 • Xinliang Zhou, Dan Lin, Ziyu Jia, Jiaping Xiao, Chenyu Liu, Liming Zhai, Yang Liu
However, the raw EEG data is inherently noisy and redundant, which is neglected by existing works that just use single-channel EEG data or full-head channel EEG data for model training, resulting in limited performance of driver drowsiness detection.
no code implementations • 21 Apr 2023 • Xinliang Zhou, Chenyu Liu, Liming Zhai, Ziyu Jia, Cuntai Guan, Yang Liu
In this paper, we present the first comprehensive survey and summarize the interpretable and robust AI techniques for EEG systems.