Skeleton-based action recognition for manufacturing assembly task through graph convolution network

doi:10.1016/j.jmsy.2025.06.019

Skeleton-based action recognition for manufacturing assembly task through graph convolution network

2025-06-30

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DOI：10.1016/j.jmsy.2025.06.019

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• Enhancing feature learning for manufacturing assembly tasks by novel Dual-Attention GCN. • Using a Parallel Attention-Graph Mixer to extract joint features for action recognition. • Extracting joint spatial relationships in assembly tasks via a Temporal–Spatial Attention Integrator.

Skeleton-based action recognition for manufacturing assembly task through graph convolution network

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