Year: 2025
Type: article
Abstract: : Because of its close connection to road safety, driver fatigue detection has become a major area of study in intelligent transportation systems. Drivers who are tired or distracted cause hundreds of accidents each year. This review research looks closely at the methods, difficulties, and most recent developments in the field of real-time sleepiness detection. Recent developments like as Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are contrasted with more conventional physiological, behavioural, and vehicle-based approaches. The study evaluates sensor modalities, comparative studies, performance measures, and real-world applications, highlighting both current inadequacies and accomplishments. In order to increase resilience, the study also looks into hybrid.
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4416540340