10 citations · 18 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
Improving Pain Classification using Spatio-Temporal Deep Learning Approaches with Facial Expressions
Aafaf Ridouan, Amine Bohi, Youssef Mourchid
Pain management and severity detection are crucial for effective treatment, yet traditional self-reporting methods are subjective and may be unsuitable for non-verbal individuals (…
MR-STGN: Multi-Residual Spatio Temporal Graph Network Using Attention Fusion for Patient Action Assessment
Youssef Mourchid, Rim Slama
Accurate assessment of patient actions plays a crucial role in healthcare as it contributes significantly to disease progression monitoring and treatment effectiveness. However, tr…