TSkel-Mamba: Advancing Human Action Recognition with State Space Models

Research#Action Recognition🔬 Research|Analyzed: Jan 10, 2026 11:46•
Published: Dec 12, 2025 11:55
•
1 min read
•ArXiv

Analysis

This research explores a novel approach to human action recognition using a state space model, specifically TSkel-Mamba. The application of state space models to temporal dynamic modeling shows potential for improved accuracy in analyzing human skeletal data.
Reference / Citation
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"The research focuses on skeleton-based action recognition."
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ArXivDec 12, 2025 11:55
* Cited for critical analysis under Article 32.
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Source: ArXiv