L. Patrono

Evaluation of Deep Learning Architectures on Synthetic LiDAR Sequences for Fall Detection

Falls represent a major health risk for the elderly population, often leading to serious injuries and loss of independence. Despite advances in sensing and monitoring technologies, existing fall-detection systems continue to face challenges related to accuracy, privacy, and user compliance. To address these limitations...