Human Activity Recognition Using Graph Structures and Deep Neural Networks

Human activity recognition (HAR) systems are essential in healthcare, surveillance, and sports analytics, enabling automated movement analysis. This research presents a novel HAR system combining graph structures with deep neural networks to capture both spatial and temporal patterns in activities....

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Bibliographic Details
Main Author: Abed Al Raoof K. Bsoul
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Computers
Subjects:
Online Access:https://www.mdpi.com/2073-431X/14/1/9
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