Action Recognition and Fall Detection System Based on 3D Skeleton Model
Tri Minh Tran, Khoa Anh Hoang, Ha Hoang · 2024
Although Artificial intelligence has become an important part of machine-human interactions today. This research focuses on recognizing daily activities such as running, jumping, and walking, and the role of fall detection. The study emphasizes the system's ability to analyze human behavior in common situations, particularly in fall detection. Recognizing patterns in fall behavior is crucial in providing alerts and responding to emergencies. This not only supports security but also enhances healthcare and elderly care. A reliable fall detection system can stimulate the development of health and safety support systems and create smart applications for monitoring and home healthcare.