Assessing drivers’ psychophysiological states using heart rate, electrodermal activity, and pupillometry in real-world driving

The findings highlight the usefulness of multimodal physiological data for identifying potentially demanding road segments and suggest implications for infrastructure design and real-time driver assistance systems.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-09-22
DOI
https://doi.org/10.1080/15389588.2025.2546651
Citations
1
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
2.12
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article

Assessing drivers’ psychophysiological states using heart rate, electrodermal activity, and pupillometry in real-world driving

Orazio Pellegrino, Gaetano Bosurgi, Giuseppe Sollazzo, Alessia Ruggeri
1 citations
Traffic Injury Prevention
Sleep and Work-Related Fatigue
2.12
article

Assessing drivers’ psychophysiological states using heart rate, electrodermal activity, and pupillometry in real-world driving

Orazio Pellegrino, Gaetano Bosurgi, Giuseppe Sollazzo, Alessia Ruggeri
article en
1 citations

Abstract

The findings highlight the usefulness of multimodal physiological data for identifying potentially demanding road segments and suggest implications for infrastructure design and real-time driver assistance systems.

Traffic Injury Prevention
University of Messina (IT)
Openalex Percentile: Top 11%
Sleep and Work-Related Fatigue
2.12
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