Seafarer Mental Workload Assessment Using a Hybrid Deep Learning Model

Human errors in maritime operations are closely linked to seafarers' mental workload; however, traditional assessment methods lack real-time neurocognitive resolution. This study introduces a novel psychophysiological framework that integrates electroencephalography (EEG) analysis with deep learning...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Ruonan Jiang, Shiqi Fan
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Gdynia Maritime University 2025-03-01
Цуврал:	TransNav
Нөхцлүүд:	mental workload (mwl) maritime safety seafarers bridge simulator cognitive performance deep learning human factor (hf) electroencephalography (eeg)
Онлайн хандалт:	https://www.transnav.eu/files/Seafarer_Mental_Workload_Assessment_Using_a_Hybrid_Deep_Learning_Model,1477.pdf
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!