Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study

Human activity recognition (HAR) is an important research problem in computer vision. This problem is widely applied to building applications in human–machine interactions, monitoring, etc. Especially, HAR based on the human skeleton creates intuitive applications. Therefore, determining the current...

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Detalhes bibliográficos

Principais autores:	Hung-Cuong Nguyen, Thi-Hao Nguyen, Rafał Scherer, Van-Hung Le
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-05-01
coleção:	Sensors
Assuntos:	human activity recognition 3D human pose/skeleton deep neural networks recurrent neural networks (RNN) convolutional neural networks (CNN) graph convolution networks (GCN)
Acesso em linha:	https://www.mdpi.com/1424-8220/23/11/5121
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