CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection - Gao, Dongrui; Li, Pengrui; Wang, Manqing; Liang, Yujie; Liu, Shihong; Zhou, Jiliu; Wang, Lutao; Zhang, Yongqing (IEEE journal of biomedical and health informatics, 2024)
Keywords: Adult; Algorithms; Automobile Driving; Band-pass filters; Brain; Brain - physiology; brain fatigue detection; Brain mapping; Brain modeling; Brain research; Cerebrospinal fluid; Convolution; cross-subject difference; Deep Learning; EEG; Electroencephalography; Electroencephalography - methods; Fatigue; Fatigue - diagnosis; Fatigue - physiopathology; Feature extraction; Female; Frequencies; Frequency dependence; Frequency domain analysis; Gaussian time domain network; Humans; Low-pass filters; Male; Multi-dimensional; Neural Networks, Computer; pure convolutional spatial-frequency domain network; Signal Processing, Computer-Assisted; Topology; Young Adult