MFA-Net: Motion Feature Augmented Network for Dynamic Hand Gesture Recognition from Skeletal Data †

Dynamic hand gesture recognition has attracted increasing attention because of its importance for human–computer interaction. In this paper, we propose a novel motion feature augmented network (MFA-Net) for dynamic hand gesture recognition from skeletal data. MFA-Net exploits motion features of fing...

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Detalles Bibliográficos
Autores principales: Chen, Xinghao, Wang, Guijin, Guo, Hengkai, Zhang, Cairong, Wang, Hang, Zhang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359639/
https://www.ncbi.nlm.nih.gov/pubmed/30634583
http://dx.doi.org/10.3390/s19020239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359639/
https://www.ncbi.nlm.nih.gov/pubmed/30634583
http://dx.doi.org/10.3390/s19020239

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