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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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
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Series: | Computers |
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Online Access: | https://www.mdpi.com/2073-431X/14/1/9 |
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