Abstract Vision-based detection of abnormal driving behaviors has become essential in the automated-vehicle era, playing a critical role in safeguarding vehicle occupants. By identifying unsafe actions early, this approach has demonstrated significant improvements in driving safety, accident reduction, and traffic condition management. However, existing research has primarily concentrated on facial expression recognition, overlooking a comprehensive analysis of overall driver postures.
