Driver Emotion and Fatigue State Detection Based on Time Series Fusion

Driver Emotion and Fatigue State Detection Based on Time Series Fusion

Studies have shown that driver fatigue or unpleasant emotions significantly increase driving risks. Detecting driver emotions and fatigue states and providing timely warnings can effectively minimize the incidence of traffic accidents. However, existing models rarely combine driver emotion and fatig...

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Bibliographic Details
Main Authors: Yucheng Shang, Mutian Yang, Jianwei Cui, Linwei Cui, Zizheng Huang, Xiang Li
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
fatigue driving detection
time series
xception network
sentiment computing
metric fusion
Online Access:https://www.mdpi.com/2079-9292/12/1/26

Internet

https://www.mdpi.com/2079-9292/12/1/26

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