R. Heidari

Real-Time Fall Detection for Care Recipient in Ambient Assisted Living Using Skeleton-Based LSTM on Edge Devices

Falls represent a critical biomedical challenge for aging populations, often leading to severe injury or longlife scenarios if assistance is delayed. While fall prevention strategies focus on gait analysis, effective post-impact fall detection is essential for ensuring timely emergency escalation. Ambient vision-based...