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20242026
most citedMachine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data

5 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

DiaSeg: Diagonal Segment Extraction from DTW Paths for Interpretable Gait Analysis

Tresor Y. Koffi, Amel Hidouri, Corentin Legrand +1

Dynamic Time Warping (DTW) is the dominant approach for measuring similarity between time series, yet standard practice discards the optimal warping path after computing a single d…

cs.CV2026

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…

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.CV2026★ 1 cited

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…

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.SP2024★ 5 cited

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…