Lite-3DCNN Combined with Attention Mechanism for Complex Human Movement Recognition

Three-dimensional convolutional network (3DCNN) is an essential field of motion recognition research. The research work of this paper optimizes the traditional three-dimensional convolution network, introduces the self-attention mechanism, and proposes a new network model to analyze and process comp...

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Detalles Bibliográficos
Autores principales: Zhu, Maochang, Bin, Sheng, Sun, Gengxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481321/
https://www.ncbi.nlm.nih.gov/pubmed/36120684
http://dx.doi.org/10.1155/2022/4816549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481321/
https://www.ncbi.nlm.nih.gov/pubmed/36120684
http://dx.doi.org/10.1155/2022/4816549

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