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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Detaylı Bibliyografya
Asıl Yazarlar:	Hung-Cuong Nguyen, Thi-Hao Nguyen, Rafał Scherer, Van-Hung Le
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2023-05-01
Seri Bilgileri:	Sensors
Konular:	human activity recognition 3D human pose/skeleton deep neural networks recurrent neural networks (RNN) convolutional neural networks (CNN) graph convolution networks (GCN)
Online Erişim:	https://www.mdpi.com/1424-8220/23/11/5121
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Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study

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