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Part 1: Document Description
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Citation |
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Title: |
arm26: A Human Arm Model |
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Identification Number: |
doi:10.18419/darus-2871 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2022-06-07 |
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Version: |
2 |
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Bibliographic Citation: |
Wochner, Isabell; Schmitt, Syn, 2022, "arm26: A Human Arm Model", https://doi.org/10.18419/darus-2871, DaRUS, V2 |
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Citation |
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Title: |
arm26: A Human Arm Model |
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Identification Number: |
doi:10.18419/darus-2871 |
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Authoring Entity: |
Wochner, Isabell (University of Stuttgart) |
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Schmitt, Syn (University of Stuttgart) |
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Other identifications and acknowledgements: |
Dan Rouven Suissa |
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Other identifications and acknowledgements: |
Katrin Stollenmaier |
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Grant Number: |
EXC 2075 - 390740016 |
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Distributor: |
DaRUS |
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Access Authority: |
Wochner, Isabell |
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Access Authority: |
Schmitt, Syn |
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Depositor: |
Wochner, Isabell |
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Date of Deposit: |
2022-05-19 |
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Holdings Information: |
https://doi.org/10.18419/darus-2871 |
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Study Scope |
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Keywords: |
Engineering, Mathematical Sciences, Medicine, Health and Life Sciences, Physics, Biomechanics, Arm Model, Biological Motor Control |
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Abstract: |
<p>An arm model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This arm26 model consists of a musculoskeletal model of the arm with two degrees of freedom actuated by six muscles. The model is prepared to run muscle-driven simulation using a simple biological motor control model. The file contains an archive including all relevant data to run the simulation in the simulator demoa. This needs to be installed separately and is available as open source too (<a href="http://get-demoa.com">get-demoa.com</a>).</p> If you use this model, please cite the related publications together with this dataset. |
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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 Studies |
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Schmitt, Syn, 2022, "demoa-base: A Biophysics Simulator for Muscle-driven Motion", <a href="https://doi.org/10.18419/darus-2550">https://doi.org/10.18419/darus-2550</a>, DaRUS |
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Related Publications |
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Citation |
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Title: |
Wochner, I., Driess, D., Zimmermann, H., Haeufle, D. F., Toussaint, M., & Schmitt, S. (2020). Optimality principles in human point-to-manifold reaching accounting for muscle dynamics. Frontiers in computational neuroscience, 14, 38 |
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Identification Number: |
10.3389/fncom.2020.00038 |
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Bibliographic Citation: |
Wochner, I., Driess, D., Zimmermann, H., Haeufle, D. F., Toussaint, M., & Schmitt, S. (2020). Optimality principles in human point-to-manifold reaching accounting for muscle dynamics. Frontiers in computational neuroscience, 14, 38 |
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Citation |
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Title: |
Stollenmaier, K., Ilg, W., & Haeufle, D. F. (2020). Predicting perturbed human arm movements in a neuro-musculoskeletal model to investigate the muscular force response. Frontiers in bioengineering and biotechnology, 8, 308 |
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Identification Number: |
10.3389/fbioe.2020.00308 |
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Bibliographic Citation: |
Stollenmaier, K., Ilg, W., & Haeufle, D. F. (2020). Predicting perturbed human arm movements in a neuro-musculoskeletal model to investigate the muscular force response. Frontiers in bioengineering and biotechnology, 8, 308 |
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Citation |
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Title: |
Driess, D., Zimmermann, H., Wolfen, S., Suissa, D., Haeufle, D., Hennes, D., Toussaint, M. and Schmitt, S., 2018, May. Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties. In 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 6461-6468). IEEE |
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Identification Number: |
10.1109/ICRA.2018.8463160 |
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Bibliographic Citation: |
Driess, D., Zimmermann, H., Wolfen, S., Suissa, D., Haeufle, D., Hennes, D., Toussaint, M. and Schmitt, S., 2018, May. Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties. In 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 6461-6468). IEEE |
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Label: |
arm26.tgz |
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Text: |
Contains all files for the model, including the technical description and a readme file how to use/run the model. |
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Notes: |
application/x-compressed |
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Label: |
README.md |
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Text: |
This file describes how to install and use the model and how to run a first simple simulation. |
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Notes: |
text/markdown |
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Label: |
Technical_Report_Arm26.pdf |
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Text: |
Supplementary material describing the arm26 model. |
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Notes: |
application/pdf |