Multimodal dataset of human driving behavior with vehicle dynamics, eye-tracking, heart rate, and music

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Sofía Sánchez Mateo, José Luís Tapia, Aranza Lira Delcore, Jon Andoni Duñabeitia, Francisco Badea
DOI: 10.5281/zenodo.18493474
Cited by: 0

Abstract

The dataset consists of real-world driving data collected in a naturalistic urban environment and is organized into two complementary components. It includes 35 synchronized sensor-based driving session CSV files with eye-tracking measures, heart rate, music condition, vehicle dynamics, and GPS information, as well as a questionnaire CSV file containing sociodemographic data, driving experience, driving style (MDSI), and affective state (PANAS)

Fields of Study & Subjects

Human-Automation Interaction and Safety Traffic and Road Safety Emotion and Mood Recognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Language
EN
Document type
Dataset