1 citations · 2 across the 2 of their papers we have counts for
5 papers
FLASH: Efficient Impact Fall Detection with Unified Hypergraph State-Space Model
Tresor Y. Koffi, Youssef Mourchid, Yohan Dupuis
Falls represent a critical public health challenge, and accurate detection of the impact moment when an individual hits the ground is crucial for timely intervention. Existing skel…
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…
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…
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…