Physical Inertial Poser (PIP): Physics-Aware Real-Time Human Motion Tracking 
From Sparse Inertial Sensors

Yi, Xinyu; Zhou, Yuxiao; Habermann, Marc; Shimada, Soshi; Golyanik, Vladislav; Theobalt, Christian; Xu, Feng

doi:10.1109/CVPR52688.2022.01282

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Physical Inertial Poser (PIP): Physics-Aware Real-Time Human Motion Tracking From Sparse Inertial Sensors

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Habermann, Marc
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

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Shimada, Soshi
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

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Golyanik, Vladislav
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

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Theobalt, Christian
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

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Citation

Yi, X., Zhou, Y., Habermann, M., Shimada, S., Golyanik, V., Theobalt, C., et al. (2022). Physical Inertial Poser (PIP): Physics-Aware Real-Time Human Motion Tracking From Sparse Inertial Sensors. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 13157-13168). Piscataway, NJ: IEEE. doi:10.1109/CVPR52688.2022.01282.

Cite as: https://hdl.handle.net/21.11116/0000-000B-7068-2

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