Dynamic graph convolutional network for assembly behavior recognition based on attention mechanism and multi-scale feature fusion

Abstract Intelligent recognition of assembly behaviors of workshop production personnel is crucial to improve production assembly efficiency and ensure production safety. This paper proposes a graph convolutional network model for assembly behavior recognition based on attention mechanism and multi-...

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Bibliographic Details
Main Authors: Chengjun Chen, Xicong Zhao, Jinlei Wang, Dongnian Li, Yuanlin Guan, Jun Hong
Format: Article
Language:English
Published: Nature Portfolio 2022-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-11206-8

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