id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-20775	Qian, Yonglin; Zheng, Guoqiang; Xie, Yifan; Lv, Xiangshuai; Zhang, Weizhen	Fatigue Driving Detection Based on Driver Facial Temporal Sequences	2024	5	.pdf	application/pdf	3392	186	52	Subsequently, a lightweight GM module is designed as the principal feature extraction module for constructing a multi-scale fusion facial landmark detection network, and facial fatigue feature parameters based on temporal sequences are calculated according to the facial landmarks. China Abstract: Addressing the issues of low real-time performance and high false positive rates in driver fatigue detection methods based on deep learning, this paper proposes a temporal sequence Transformer-based fatigue detection method grounded in the localization of facial landmarks in drivers.	cache/ajst-20775.pdf	txt/ajst-20775.txt