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This dataset captures 86 subjects performing common tasks of daily living, such as overground and inclined walking, jogging, stair navigation, sit-to-stand, and range of motion activities for major joints.

The field of biomechanics is at a turning point, with marker-based motion capture set to be replaced by portable and inexpensive hardware, rapidly improving markerless tracking algorithms, and open datasets that will turn these new technologies into field-wide team projects. To expedite progress in this direction, we have collected the CMU Panoptic Dataset 2.0, which contains 86 subjects captured with 140 VGA cameras, 31 HD cameras, and 15 IMUs, performing on average 6.5 min of activities, including range of motion activities and tasks of daily living.

The data are now available under Downloads > Data Share.

The Fitting algorithm is published on Github: https://github.com/CMU-MBL/CMU_PanopticDataset_2.0

If you find this code or our data useful for your research, please cite the following paper:
title = {American society of biomechanics early career achievement award 2020: Toward portable and modular biomechanics labs: How video and IMU fusion will change gait analysis},
journal = {Journal of Biomechanics},
volume = {129},
pages = {110650},
year = {2021},
issn = {0021-9290},
doi = {https://doi.org/10.1016/j.jbiomech.2021.110650},
url = {https://www.sciencedirect.com/science/article/pii/S002192902100419X},
author = {Eni Halilaj and Soyong Shin and Eric Rapp and Donglai Xiang},