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Munich Center for Machine Learning (MCML), Munich, Germany, Chair of AI-supported Therapy Decisions, LMU München, Germany
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Normalizing flows can achieve real-time, uncertainty-aware radar pose estimation while outperforming traditional diffusion models in both speed and calibration accuracy.
Achieving biomechanical accuracy in human motion estimation from sparse radar data could revolutionize rehabilitation monitoring and analysis.