Enhancing Human Action Recognition with 3D Skeleton Data: A Comprehensive Study of Deep Learning and Data Augmentation

Human Action Recognition (HAR) is an important field that identifies human behavior through sensor data. Three-dimensional human skeleton data extracted from the Kinect depth sensor have emerged as a powerful alternative to mitigate the effects of lighting and occlusion of traditional 2D RGB or gray...

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Bibliographic Details
Main Authors: Chu Xin, Seokhwan Kim, Yongjoo Cho, Kyoung Shin Park
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/13/4/747