1 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection
Tresor Y. Koffi, Youssef Mourchid, Mohammed Hindawi +1
Falls among the elderly represent a significant public health concern due to their prevalence, consequences, and societal burden. While deep learning has improved fall detection, a…
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…