Meattini, Roberto ;
Caporali, Alessio ;
Bernardini, Alessandra ;
Palli, Gianluca ;
Melchiorri, Claudio
(2024)
INTELLIMAN. WP4. Adaptive shared autonomy. T4_3. Human intent detection for autonomy arbitration. Self supervised myocontrol. v0.
University of Bologna.
DOI
10.6092/unibo/amsacta/7903.
[Dataset]
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Abstract
The dataset is related a novel Human-Robot interface (HRi) based on self-supervised regression of sEMG signals, combining Non-Negative Matrix Factorization (NMF) with Deep Neural Networks (DNN) in order to both avoid explicit labeling procedures and have powerful nonlinear fitting capabilities. Experiments involving 10 healthy subjects were carried out assessing real-time control of a wearable anthropomorphic robot hand. The data were produced in the framework of Horizon Europe INTELLIMAN project and are presented in the publication:
R. Meattini, A. Caporali, A. Bernardini, G. Palli and C. Melchiorri, "Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization With Deep Neural Networks for Robot Hand Multiple Grasping Motion Control," in IEEE Robotics and Automation Letters, vol. 8, no. 12, pp. 8533-8540, Dec. 2023, doi: 10.1109/LRA.2023.3329764.
Abstract
The dataset is related a novel Human-Robot interface (HRi) based on self-supervised regression of sEMG signals, combining Non-Negative Matrix Factorization (NMF) with Deep Neural Networks (DNN) in order to both avoid explicit labeling procedures and have powerful nonlinear fitting capabilities. Experiments involving 10 healthy subjects were carried out assessing real-time control of a wearable anthropomorphic robot hand. The data were produced in the framework of Horizon Europe INTELLIMAN project and are presented in the publication:
R. Meattini, A. Caporali, A. Bernardini, G. Palli and C. Melchiorri, "Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization With Deep Neural Networks for Robot Hand Multiple Grasping Motion Control," in IEEE Robotics and Automation Letters, vol. 8, no. 12, pp. 8533-8540, Dec. 2023, doi: 10.1109/LRA.2023.3329764.
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DOI
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Deposit date
01 Oct 2024 09:30
Last modified
01 Oct 2024 09:59
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EC - HE
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Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
01 Oct 2024 09:30
Last modified
01 Oct 2024 09:59
Related identifier
Project name
Funding program
EC - HE
URI
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