A union of deep learning and swarm-based optimization for 3D human action recognition

Human Action Recognition (HAR) is a popular area of research in computer vision due to its wide range of applications such as surveillance, health care, and gaming, etc. Action recognition based on 3D skeleton data allows simplistic, cost-efficient models to be formed making it a widely used method....

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Detalles Bibliográficos
Autores principales: Basak, Hritam, Kundu, Rohit, Singh, Pawan Kumar, Ijaz, Muhammad Fazal, Woźniak, Marcin, Sarkar, Ram
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/PMC8971421/
https://www.ncbi.nlm.nih.gov/pubmed/35361804
http://dx.doi.org/10.1038/s41598-022-09293-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971421/
https://www.ncbi.nlm.nih.gov/pubmed/35361804
http://dx.doi.org/10.1038/s41598-022-09293-8

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