most citedImpact Detection in Fall Events: Leveraging Spatio-Temporal Graph Convolutional Networks and Recurrent Neural Networks Using 3D Skeletons Data

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2026★ 1 cited

Impact Detection in Fall Events: Leveraging Spatio-Temporal Graph Convolutional Networks and Recurrent Neural Networks Using 3D Skeletons Data

Tresor Y. Koffi, Youssef Mourchid, Mohammed Hindawi +1

Fall represents a significant risk of accidental death among individuals aged over 65, presenting a global health concern. A fall is defined as any event where a person loses balan…

cs.CV2025

An Improved 3D Skeletons UP-Fall Dataset: Enhancing Data Quality for Efficient Impact Fall Detection

Tresor Y. Koffi, Youssef Mourchid, Mohammed Hindawi +1

Detecting impact where an individual makes contact with the ground within a fall event is crucial in fall detection systems, particularly for elderly care where prompt intervention…

eess.SP2025

Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data

Tresor Y. Koffi, Youssef Mourchid, Mohammed Hindawi +1

Falls among individuals, especially the elderly population, can lead to serious injuries and complications. Detecting impact moments within a fall event is crucial for providing ti…