SPATIO-TEMPORAL LATENT FEATURES FOR SKELETON-BASED HUMAN ACTION RECOGNITION USING GCN+SOFTMAX CLASSIFIER
Zakhriddin MominovTashkent State University of Economics , Tashkent , UzbekistanAvazjon MarakhimovTashkent State Technical University , Tashkent , Uzbekistan;Kabul KhudaybergenovKimyo International University in Tashkent , Tashkent , Uzbekistan;
2025en
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ABI
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Human action recognition through skeletal analysis represents a fundamental challenge with significant implications for real-world applications. Contemporary approaches frequently depend on singular skeletal sequence representations, potentially limiting their capacity to comprehensively encode the multifaceted char
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