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

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

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• Installation document on how to setup and install the code components,
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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:

	Claudia Latella