Optimizing Driver Vigilance Recognition: Examining the Characterization and Cumulative Effect of Physiological Signals Across Manual and Automated Driving and Durations

Optimizing Driver Vigilance Recognition: Examining the Characterization and Cumulative Effect of Physiological Signals Across Manual and Automated Driving and Durations

Identifying changes in driver’s vigilance under combined manual and automated driving conditions, as well as during prolonged driving, is crucial for reducing car crashes. Existing studies have not adequately considered the similarities and differences in physiological signals between different driv...

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Bibliographic Details
Main Authors: Mingyang Guo, Yuning Wei, Jingyuan Zhang, Qingyang Huang, Xiaoping Jin, Jun Ma
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
vigilance
physiological signals
characterization
cumulative effect
recognition
Online Access:https://www.mdpi.com/2076-3417/14/22/10482
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