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

DOI

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

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.

Identifier
DOI https://doi.org/10.18419/darus-3793
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-3793
Provenance
Creator Lerge, Patrick ORCID logo; Nölle, Lennart Vincent ORCID logo; Schmitt, Syn ORCID logo
Publisher DaRUS
Contributor Lerge, Patrick
Publication Year 2023
Funding Reference DFG EXC 2075 - 390740016 ; BMWK 19A21027D
Rights BSD 2-Clause; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/BSD-2-Clause.html
OpenAccess true
Contact Lerge, Patrick (Universität Stuttgart)
Representation
Resource Type Dataset
Format text/x-matlab; application/json
Size 1721; 1624; 3549; 6018; 2931; 596003; 595056; 593254; 595139; 599533; 603732; 605249; 605409; 1191423; 598207; 594910; 594420; 596875; 594358; 596406; 604709; 594608; 1576
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences; Medicine