Exploring Physiological Signal Responses to Traffic-Related Stress in Simulated Driving

Exploring Physiological Signal Responses to Traffic-Related Stress in Simulated Driving

In this paper, we propose a relatively noninvasive system that can automatically assess the impact of traffic conditions on drivers. We analyze the physiological signals recorded from a set of individuals while driving in a simulated urban scenario in two different traffic scenarios, i.e., with traf...

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Bibliographic Details
Main Authors:	Pamela Zontone, Antonio Affanni, Alessandro Piras, Roberto Rinaldo
Format:	Article
Language:	English
Published:	MDPI AG 2022-01-01
Series:	Sensors
Subjects:	stress detection in drivers electrodermal activity electrocardiogram motion artifact removal Machine Learning
Online Access:	https://www.mdpi.com/1424-8220/22/3/939

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