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2026
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| Online Access: | https://doi.org/10.5281/zenodo.19106797 |
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| _version_ | 1866901470502191104 |
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| author | Surya Teja |
| author_facet | Surya Teja |
| contents | <p>Initial release of the PGSI pipeline accompanying the paper:</p> <p>"PGSI: A Novel Pose-Derived Composite Index for Quantitative Parkinsonian Gait Severity Assessment Using Markerless Video Analysis"</p> <h2>Contents</h2> <ul> <li>Full PGSI pipeline (feature extraction, scoring, classification)</li> <li>Demo recorder script</li> <li>Results extractor for KOA-PD-NM dataset</li> <li>Configuration file (config.py)</li> </ul> <h2>Dataset</h2> <p>Evaluated on KOA-PD-NM (DOI: 10.17632/44pfnysy89.1)</p> <h2>Requirements</h2> <p>Python 3.10+, MediaPipe, OpenCV, NumPy, SciPy, scikit-learn</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19106797 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | suryatejabatchu08/Parkinsonian-Gait-Assessment: PGSI: Pose-Derived Parkinsonian Gait Severity Index — Initial Release Surya Teja <p>Initial release of the PGSI pipeline accompanying the paper:</p> <p>"PGSI: A Novel Pose-Derived Composite Index for Quantitative Parkinsonian Gait Severity Assessment Using Markerless Video Analysis"</p> <h2>Contents</h2> <ul> <li>Full PGSI pipeline (feature extraction, scoring, classification)</li> <li>Demo recorder script</li> <li>Results extractor for KOA-PD-NM dataset</li> <li>Configuration file (config.py)</li> </ul> <h2>Dataset</h2> <p>Evaluated on KOA-PD-NM (DOI: 10.17632/44pfnysy89.1)</p> <h2>Requirements</h2> <p>Python 3.10+, MediaPipe, OpenCV, NumPy, SciPy, scikit-learn</p> |
| title | suryatejabatchu08/Parkinsonian-Gait-Assessment: PGSI: Pose-Derived Parkinsonian Gait Severity Index — Initial Release |
| url | https://doi.org/10.5281/zenodo.19106797 |