About this document
AI for Detecting Driver Anger by Adiba Tabassum is a document available to read on EtoBox.
The document presents a review of driver anger expression detection, highlighting the increasing prevalence of road rage in Malaysia and its implications for road safety. It explores the potential of AI-driven systems to detect driver anger in real-time through physiological signals and discusses the challenges and opportunities in developing such technologies. The paper also examines various detection techniques, including embedded systems and machine learning algorithms, to enhance the effectiveness of an
- Author
- Adiba Tabassum
- Language
- EN