https://github.com/ami-iit/paper_latella_2023_irim_muscle-force-estimation
Real-time force estimation for the lower leg muscles using a Hill-type model and a distributed network of wearable sensors
https://github.com/ami-iit/paper_latella_2023_irim_muscle-force-estimation
Science Score: 13.0%
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Low similarity (11.3%) to scientific vocabulary
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Repository
Real-time force estimation for the lower leg muscles using a Hill-type model and a distributed network of wearable sensors
Basic Info
- Host: GitHub
- Owner: ami-iit
- License: bsd-3-clause
- Language: MATLAB
- Default Branch: main
- Homepage: https://doi.org/10.5281/zenodo.10722443
- Size: 47.9 KB
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- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 0
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Metadata Files
README.md
Real-time Lower Leg Muscle Forces Estimation using a Hill-type Model and Whole-body Wearable Sensors
Claudia Latella, Antonella Tatarelli, Lorenzo Fiori, Riccardo Grieco, Lorenzo Rapetti, Daniele Pucci
5th Italian Conference in Robotics and Intelligent Machines (I-RIM), 2023
Installation and usage
Please refer to the
- Installation document on how to setup and install the code components,
- Usage document on how to use the code related to this work.
Citing this work
If you find this work useful, please use the following bibtex as a reference:
@proceedings{10722444,
title = {Real-time lower leg muscle forces estimation using a Hill-type model and whole-body wearable sensors},
year = 2024,
publisher = {Zenodo},
month = mar,
doi = {10.5281/zenodo.10722444},
url = {https://doi.org/10.5281/zenodo.10722444}
}
Acknowledgement
The paper has been supported by the Italian National Institute for Insurance against Accidents at Work (INAIL) ergocub Project . This work has been also supported by the Italian Ministry of Research, under the complementary actions to the NRRP “Fit4MedRob - Fit for Medical Robotics” Grant (number PNC0000007). This work was also carried out within the framework of the project ”RAISE-Robotics and AI for Socio-economic Empowerment” and has been supported by European Union - NextGenerationEU. However, the views and opinions expressed are hose of the authors alone and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.
Maintainer
This repository is maintained by:
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| Claudia Latella |
Owner
- Name: Artificial and Mechanical Intelligence
- Login: ami-iit
- Kind: organization
- Location: Italy
- Website: https://ami.iit.it/
- Repositories: 111
- Profile: https://github.com/ami-iit
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