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ami-iit/paper_latella_2023_irim_muscle-force-estimation_dataset

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 📂 Dataset The dataset is related to a subject (S01) acquisition with 5 trials. Each trial folder is organized as follows: a .tdf file containing the EMG acquisition via BTS Engineering surface… See the full description on the dataset page: https://huggingface.co/datasets/ami-iit/paper_latella_2023_irim_muscle-force-estimation_dataset.

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<h1 align="center"> Real-time Lower Leg Muscle Forces Estimation using a Hill-type Model and Whole-body Wearable Sensors </h1>

<div align="center"> Claudia Latella, Antonella Tatarelli, Lorenzo Fiori, Riccardo Grieco, Lorenzo Rapetti, Daniele Pucci <br> <br> </div>

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<div align="center"> 5th Italian Conference in Robotics and Intelligent Machines (I-RIM), 2023 </div>

<section> <h2>📂 Dataset</h2>

<p> The dataset is related to a subject (S01) acquisition with 5 trials. Each trial folder is organized as follows: </p> <ul> <li> a <code>.tdf</code> file containing the EMG acquisition via BTS Engineering surface electromyography </li> <li> a <code>.mat</code> file containing the kinematics data acquisition via <a href="https://ifeeltech.eu/"><b>iFeel technology</b></a> </li> </ul> </section>

<p> The dataset provides also the <code>.urdf</code> model for the subject S01. </p>