Driver Abnormal Expression Detection Method Based on Improved Lightweight YOLOv5

Driver Abnormal Expression Detection Method Based on Improved Lightweight YOLOv5

The rapid advancement of intelligent assisted driving technology has significantly enhanced transportation convenience in society and contributed to the mitigation of traffic safety hazards. Addressing the potential for drivers to experience abnormal physical conditions during the driving process, a...

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Bibliographic Details
Main Authors: Keming Yao, Zhongzhou Wang, Fuao Guo, Feng Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
YOLOv5
lightweighting
facial emotion recognition
model pruning
Online Access:https://www.mdpi.com/2079-9292/13/6/1138

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