SOURCE-LINKED INTELLIGENCE

SAFER-Activities: A Dataset for Smart Assessment of Fall Events and Routine Activities

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Smart healthcare monitoring systems require precise action recognition to ensure well-being and timely intervention in critical situations such as falls, particularly for mobility-challenged individuals. Existing datasets are often clip-based, lacking the frame-level detail needed to recognize actions online, as they unfold. To address this, we introduce SAFER-Activities, a dataset for fall detection and physical activity monitoring, with a dedicated subset for wheelchair use scenarios. It comprises over 66 hours of video data captured by multiple cameras, with 85,310 action instances and fram

Read original source ↗ Open in workspace

recordType

paper

region

Global