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20212026
most citedSkeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks

74 citations · 117 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Towards Context-Aware Clinical Motion Understanding in Daily Living at Home: Freezing of Gait Detection with Egocentric Vision

Vayalet Stefanova, Diwas Lamsal, Margot Genbrugge +5

Understanding motion in daily living requires context beyond kinematics, because similar inertial patterns during activities of daily living (ADLs) can reflect intentional stopping…

cs.CV2025

CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment

Vida Adeli, Ivan Klabucar, Javad Rajabi +25

Objective gait assessment in Parkinson's Disease (PD) is limited by the absence of large, diverse, and clinically annotated motion datasets. We introduce CARE-PD, the largest publi…

cs.CV2025

GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain

Vida Adeli, Soroush Mehraban, Majid Mirmehdi +6

Gait analysis is crucial for the diagnosis and monitoring of movement disorders like Parkinson's Disease. While computer vision models have shown potential for objectively evaluati…

cs.CV2024★ 1 cited

Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation

Bowen Chen, Haoyu Ji, Zhiyong Wang +5

Skeleton-based Temporal Action Segmentation involves the dense action classification of variable-length skeleton sequences. Current approaches primarily apply graph-based networks…

cs.CV2022★ 74 cited

Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks

Benjamin Filtjens, Bart Vanrumste, Peter Slaets

The ability to identify and temporally segment fine-grained actions in motion capture sequences is crucial for applications in human movement analysis. Motion capture is typically…

cs.CV2021★ 42 cited

Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks

Benjamin Filtjens, Pieter Ginis, Alice Nieuwboer +2

Freezing of gait (FOG) is a common and debilitating gait impairment in Parkinson's disease. Further insight into this phenomenon is hampered by the difficulty to objectively assess…