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updated README with acknowledgments
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README.md

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# Human Inertial Pose
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![PyPI - License](https://img.shields.io/pypi/l/hipose)
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![PyPI - Version](https://img.shields.io/pypi/v/hipose)
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![GitHub Workflow Status](https://github.com/ManuelPalermo/HumanInertialPose/actions/workflows/run_tests.yml/badge.svg?branch=main)
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![Codecov](https://codecov.io/gh/ManuelPalermo/HumanInertialPose/branch/main/graph/badge.svg)
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<!---
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![PyPI Status](https://pepy.tech/badge/hipose)
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--->
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![PyPI - License](https://img.shields.io/pypi/l/hipose)
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![PyPI - Python Version](https://img.shields.io/pypi/pyversions/hipose)
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![PyPI - Version](https://img.shields.io/pypi/v/hipose)
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Human whole-body pose estimation using inertial sensor data.
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2017

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# Contains code to:
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# Contains code to
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* Calculate sensors orientation (based on [ahrs](https://github.com/Mayitzin/ahrs/)) library.
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* Perform sensor-to-segment calibration.
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* Perform imu sensor calibration.
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# (example trial has 5s of NPose at the start)
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calib_s = int(imu_data["freq"] * 5)
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ffilts.compute_imus_calibration(acc_calib_data=imu_data["acc"][0:calib_s],
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gyr_calib_data=imu_data["gyr"][0:calib_s],
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mag_calib_data=imu_data["mag"][0:calib_s])
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gyr_calib_data=imu_data["gyr"][0:calib_s],
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mag_calib_data=imu_data["mag"][0:calib_s])
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# perform filter fusion on trial data to obtain segment orientations
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for idx, (acc, gyr, mag) in enumerate(zip(imu_data["acc"][calib_s:],
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### Common Problems / Fixes
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#### 3D Visualizer:
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#### 3D Visualizer
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* "libGL error: MESA-LOADER: failed to open swrast : .../lib/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /usr/lib/dri/swrast_dri.so) (search paths /usr/lib/dri)":
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https://unix.stackexchange.com/questions/655495/trying-to-run-pygame-on-my-conda-environment-on-my-fresh-manjaro-install-and-ge
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# Citation:
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If you find the project helpful, please consider citing us (temporary citation):
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# Acknowledgements
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This project was developed from a research scholarship at the
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[BirdLab-UMinho](http://birdlab.dei.uminho.pt/), supported by grant POCI-01-0247-FEDER-39479.
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You can check out other works being developed there through the lab's
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([Github](https://github.com/BiRDLab-UMinho) / [Instagram](https://www.instagram.com/bird.uminho) / [Facebook](https://www.facebook.com/BiRDLab.Uminho/)).
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A special thanks to the people in the [Ergoaware project](http://birdlab.dei.uminho.pt/ergoaware/)
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who also contributed to the library through helpful discussions, data acquisition and testing.
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# Citation
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If you find the project helpful, please consider citing us (temporary citations):
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```
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@misc{palermo2022complete,
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author = {Manuel Palermo and Sara Cerqueira and João André and António Pereira and Cristina P. Santos},
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title = {Complete Inertial Pose Dataset: from raw measurements to pose with low-cost and high-end MARG sensors},
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year = {2022},
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eprint = {2202.06164},
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eprinttype = {arXiv},
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url = {https://arxiv.org/abs/2202.06164}
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}
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```
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```
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@misc{palermo2022cipdatabase,
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author = {Palermo, Manuel and Cerqueira, Sara and André, João and C. Santos, Cristina},
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title = {Complete Inertial Pose (CIP) Dataset},
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month = jan,
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year = 2022,
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publisher = {Zenodo},
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doi = {10.5281/zenodo.5801928},
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url = {https://doi.org/10.5281/zenodo.5801928}
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@dataset{palermo2022cipdatabase,
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author = {Manuel Palermo and Sara Cerqueira and João André and António Pereira and Cristina P. Santos},
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title = {Complete Inertial Pose (CIP) Dataset},
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year = {2022},
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publisher = {Zenodo},
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doi = {10.5281/zenodo.5801928},
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url = {https://doi.org/10.5281/zenodo.5801928}
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}
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```

hipose/__init__.py

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__version__ = "0.7.0"
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__version__ = "0.7.1"

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