Next Generation Human Action Recognition: A Comprehensive Review of State-of-the-Art Signal Processing Techniques

Human Action Recognition is a rapidly evolving field at the intersection of computational intelligence, signal processing, and machine learning, driving innovations in healthcare, fitness, surveillance, and smart environments. This review bridges the gap between classical techniques, such as Fourier...

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Bibliographic Details
Main Authors: Misha Karim, Shah Khalid, Sungyoung Lee, Sulaiman Almutairi, Abdallah Namoun, Mohammed Abohashrh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11083621/
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