Replication Data for: "Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles"

Replication Data for: "Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles"

This dataset contains the pose estimation results from the third-party framework "PARE" (Max Planck Institute for Intelligent Systems) and the pose averaging script (Matlab, Mathworks, Natick, MA) to obtain the joint angle results described in the paper "Deep learning-based estimation...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Lerge, Patrick, Nölle, Lennart Vincent, Schmitt, Syn
Format: Dataset
Sprache:eng
Schlagworte:
Biomechanics
Computational Modeling
Computer and Information Science
Engineering
Extreme Environments
Human Gait
Medicine, Health and Life Sciences
NBP
Neutral Body Posture
Posture
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Beschreibung
Zusammenfassung:This dataset contains the pose estimation results from the third-party framework "PARE" (Max Planck Institute for Intelligent Systems) and the pose averaging script (Matlab, Mathworks, Natick, MA) to obtain the joint angle results described in the paper "Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles" by Patrick Lerge, Lennart V. Nölle and Syn Schmitt
DOI:10.18419/darus-3793