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H. Haghjoo

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Conference Aug 2026

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...

H. Haghjoo, R. Heidari, M. Tavakoli et al. · 0 citations

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