Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver

Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver

This article presents a synthetic distracted driving (SynDD1) dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones. We collected the data in a stationary vehicle using three in-vehicle cameras positioned at locations: on the das...

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Bibliographic Details
Main Authors: Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Jiyang Wang, Senem Velipasalar Gursoy, David Anastasiu, Shuo Wang
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Data in Brief
Subjects:
Driver behavior
Driver distraction
Head orientation
Activity recognition
Activity analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340922009969

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http://www.sciencedirect.com/science/article/pii/S2352340922009969

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