A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation

• Published in: Scientific data Vol. 11; no. 1; pp. 327 - 21
• Main Authors: Dargahi Nobari, Khazar, Bertram, Torsten
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 30.03.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/987; 639/705/1046; 706/648/697/129; 706/689/477/2811; 706/689/680; Automation; Data Descriptor; Datasets; Humanities and Social Sciences; Motion sickness; multidisciplinary; Science; Science (multidisciplinary)

In driver monitoring various data types are collected from drivers and used for interpreting, modeling, and predicting driver behavior, and designing interactions. Aim of this contribution is to introduce manD 1.0 , a multimodal dataset that can be used as a benchmark for driver monitoring in the co...