KineST: Enhancing Human Motion Tracking with Kinematics-Guided State Space Models

Research#Motion Tracking🔬 Research|Analyzed: Jan 10, 2026 09:56•
Published: Dec 18, 2025 17:25
•
1 min read
•ArXiv

Analysis

This research explores a novel approach to human motion tracking, leveraging kinematics to improve performance with sparse signals. The use of state space models offers potential advantages in modeling complex temporal dependencies within motion data.
Reference / Citation
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"KineST: A Kinematics-guided Spatiotemporal State Space Model for Human Motion Tracking from Sparse Signals"
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ArXivDec 18, 2025 17:25
* Cited for critical analysis under Article 32.
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Source: ArXiv