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Improved Reliability of Driver Drowsiness Ground Truths with Objective Assessment

Year: 2025

Type: conference-paper

Abstract: The Karolinska Sleepiness Scale - KSS is often used as a ground truth of drowsiness in real-world studies, since it is easy to use, has high acceptance, and is relatively robust to intra-individual differences. Its subjectivity can, however, be a concern. This paper therefore proposes a multimodal framework that integrates subjective self-reports (KSS) with objective cognitive assessments (in this case, the Detection Response Task - DRT) using regression modeling, statistical analysis, and machine learning. Simulator studies show strong correlations for some participants, highlighting the potential of the proposed approach to enhance road safety and ADAS performance.

Source: IEEE Portuguese Meeting on Bioengineering

DOI: 10.1109/enbeng67130.2025.11199741

Authors: Caio F. dos S. Oliveira, André Lourenço, Leopoldo Yoshioka, Christer Ahlström, Hugo P. da Silva

Institutions: University of Lisbon, Universidade Politécnica de Lisboa, Laboratório para a Ciência da Computação e Informática, Universidade de São Paulo, Swedish National Road and Transport Research Institute, Instituto de Telecomunicações

Language: English

Topic: Sleep and Work-Related Fatigue

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4415399038

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