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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: "Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles" |
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Identification Number: |
doi:10.18419/darus-3793 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2023-11-28 |
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Version: |
1 |
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Bibliographic Citation: |
Lerge, Patrick; Nölle, Lennart Vincent; Schmitt, Syn, 2023, "Replication Data for: "Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles"", https://doi.org/10.18419/darus-3793, DaRUS, V1 |
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Citation |
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Title: |
Replication Data for: "Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles" |
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Identification Number: |
doi:10.18419/darus-3793 |
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Authoring Entity: |
Lerge, Patrick (Universität Stuttgart) |
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Nölle, Lennart Vincent (Universität Stuttgart) |
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Schmitt, Syn (Universität Stuttgart) |
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Grant Number: |
EXC 2075 - 390740016 |
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Grant Number: |
19A21027D |
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Distributor: |
DaRUS |
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Access Authority: |
Lerge, Patrick |
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Access Authority: |
Lerge, Patrick |
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Depositor: |
Lerge, Patrick |
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Date of Deposit: |
2023-11-17 |
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Holdings Information: |
https://doi.org/10.18419/darus-3793 |
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Study Scope |
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Keywords: |
Computer and Information Science, Engineering, Medicine, Health and Life Sciences, Biomechanics, Human Gait, Posture, Computational Modeling, Extreme Environments, Neutral Body Posture, NBP |
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Abstract: |
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 |
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Notes: |
In order to obtain the angular values shown in Table 1 in "Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles" run the script "NBP_Estimation_main.m". Please ensure that the "Input_Pose_Estimation" directory with the pre-calculated pose estimation results is in the same directory level as the main script. The output of the averaged joint angles in cardan form is made in the terminal. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Lerge P., Nölle L.V., Schmitt S., Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles, Human Factors 2023 |
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Bibliographic Citation: |
Lerge P., Nölle L.V., Schmitt S., Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles, Human Factors 2023 |
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Label: |
NBP_Estimation_main.m |
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Notes: |
text/x-matlab |
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avg_SMPL.m |
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text/x-matlab |
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avg_SMPL_abs.m |
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text/x-matlab |
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mirror_SMPL.m |
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text/x-matlab |
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new_or.m |
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Notes: |
text/x-matlab |
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toISB.m |
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text/x-matlab |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |
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pare_output.json |
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application/json |