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Skeleton-based Human Action Recognition Using Cnn+softmax With Multi-dimensional Connected Weights

Year: 2025

Type: article

Abstract: Skeleton-based human activity recognition through closed-circuit television surveillance systems has garnered substantial attention within the artificial intelligence research domain, primarily attributed to the rich feature representation inherent in

Source: European Journal of Technical and Natural Sciences

DOI: 10.29013/ejtns-25-4.5-8-17

Authors: Avazjon Rakhimovich Marakhimov, Kabul Kadirbergenovich Khudaybergenov

Institutions: Tashkent State Technical University named after Islam Karimov, Kimyo International University in Tashkent

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4415313457

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