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

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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Bibliographic Details
Main Authors: Hung-Cuong Nguyen, Thi-Hao Nguyen, Rafał Scherer, Van-Hung Le
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
human activity recognition
3D human pose/skeleton
deep neural networks
recurrent neural networks (RNN)
convolutional neural networks (CNN)
graph convolution networks (GCN)
Online Access:https://www.mdpi.com/1424-8220/23/11/5121

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https://www.mdpi.com/1424-8220/23/11/5121

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