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Manual Material Handling Dataset for Biomechanical and Ergonomics Analysis. - MaRDI portal

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Manual Material Handling Dataset for Biomechanical and Ergonomics Analysis.

From MaRDI portal



DOI10.5281/zenodo.4633087Zenodo4633087MaRDI QIDQ6693063

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 22 April 2021

Copyright license: No records found.



Description

This dataset contains fully labeled motion and surface electromyography (sEMG) data captured during Manual Material Handling (MMH) and isokinetic activities. The data are collected in a laboratory environment with a commercial full-body motion capture system, and an sEMG device previously developed in the laboratory. The muscular activity is collected from both arm extensors (triceps and extensor digitorum) and flexors (biceps and brachioradialis). Fourteen subjects were recruited, and each participant performed 37 trials organized in two sets: the MMH set contains 21 actions of lifting, lowering, and carrying different loads in bimanual and one-handed modes; the isokinetic set contains 16 one-handed loads lift actions performed with different angular velocities (60, 90, 120 /s). The handled loads are 2, 8, and 12 kg for the bimanual and 2 and 4 kg for the one-handed trials.Three human annotators were involved in the labeling. The first manually labeled the actions of all the trials, and the other two revised the annotations. For the sEMG data, two Matlab files (.m) to process the sEMG data are provided. In addition, a Matlab Live Script Editorto download, import, and process the data is available at the following GitHub link. The motion data are provided in a proprietary format, sEMG data, labels, and subject information in csv format. If you use the dataset you are kindly asked to cite the paper G. Bassani, A. Filippeschi and C. A. Avizzano, A Dataset of Human Motion and Muscular Activities in Manual Material Handling tasks for Biomechanical and Ergonomic Analyses., inIEEE Sensors Journal, DOI: 10.1109/JSEN.2021.3113123where adetailed description of how the data were collected is available.






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