16 citations · 31 across the 7 of their papers we have counts for
8 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…
SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving
Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar +4
Surround-view cameras are a primary sensor for automated driving, used for near-field perception. It is one of the most commonly used sensors in commercial vehicles primarily used…
Efficient LiDAR data compression for embedded V2I or V2V data handling
Paul Caillet, Yohan Dupuis
LiDAR are increasingly being used in intelligent vehicles (IV) or intelligent transportation systems (ITS). Storage and transmission of data generated by LiDAR sensors are one of t…
LiDAR point clouds correction acquired from a moving car based on CAN-bus data
Pierre Merriaux, Yohan Dupuis, Rémi Boutteau +2
In this paper, we investigate the impact of different kind of car trajectories on LiDAR scans. In fact, LiDAR scanning speeds are considerably slower than car speeds introducing di…