74 citations · 116 across the 2 of their papers we have counts for
2 papers
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…