Predictive Driver Monitoring Systems (PDMS)
Year: 2025
Type: article
Abstract: Predictive Driver Monitoring Systems (PDMS) leverage advancements in Artificial Intelligence (AI) and Machine Learning (ML) to assess and predict driver behaviour in real-time. These systems aim to enhance road safety by identifying early signs of fatigue, distraction, or emotional stress. By analysing various inputs such as facial expressions, eye movement, steering patterns, and physiological data, PDMS can prevent accidents before they happen. The integration of intelligent monitoring into vehicles marks a crucial transition toward proactive automotive safety systems. This paper explores the framework, algorithms, and methodologies used in building effective PDMS.
Author: Tanmay Mitra
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4411150779