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

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-scale fea...

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Detalles Bibliográficos
Autores principales: Chen, Chengjun, Zhao, Xicong, Wang, Jinlei, Li, Dongnian, Guan, Yuanlin, Hong, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072355/
https://www.ncbi.nlm.nih.gov/pubmed/35513554
http://dx.doi.org/10.1038/s41598-022-11206-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072355/
https://www.ncbi.nlm.nih.gov/pubmed/35513554
http://dx.doi.org/10.1038/s41598-022-11206-8

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