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What is Real-time Human Motion Capture Fusion about?

This document presents a novel method for real-time human motion capture by fusing monocular images with sparse IMU signals, addressing the limitations of each modality in extreme conditions. The proposed approach utilizes a dual coordinate strategy and a hidden state feedback mechanism to enhance the accuracy and robustness of motion estimation. Experimental results demonstrate that this technique significantly outperforms existing state-of-the-art methods in both global orientation and local pose estimati

Author

Manal Bouffa

Language

EN