PMMCT: A Parallel Multimodal CNN-Transformer Model to Detect Slow Eye Movement for Recognizing Driver Sleepiness

Sleepiness at the wheel is an important contributor to road traffic accidents. Slow eye movement (SEM) serves as a reliable physiological indicator for the sleep onset period (SOP). To detect SEM for recognizing drivers’ SOP, a Parallel Multimodal CNN-Transformer (PMMCT) model is proposed. The model...

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Bibliografiset tiedot

Päätekijät:	Yingying Jiao, Jiajia Zhang, Zhuqing Jiao
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-09-01
Sarja:	Sensors
Aiheet:	driver sleepiness slow eye movement CNN-transformer electrooculogram (EOG) electroencephalograph (EEG) multimodal fusion
Linkit:	https://www.mdpi.com/1424-8220/25/18/5671
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