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Improving Pattern Recognition based Myocontrol of Prosthetic Hands via User-in-the-Loop

Brusamento, Donato (2019) Improving Pattern Recognition based Myocontrol of Prosthetic Hands via User-in-the-Loop. Master's, Alma Mater Studiorum, University of Bologna.

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Official URL: https://amslaurea.unibo.it/id/eprint/19647


The control of prosthetic hands based on electromyography (EMG) has the potential to restore motor functions to patients who have undergone an amputation, significantly improving their quality of life. However, there are unresolved issues in achieving control that is rich in movements and stable, including the presence of the limb position effect. The thesis focuses on trying to reduce this cause of instability by proposing a modified version of the Ridge Regression with Random Fourier Features algorithm, made incremental and enriched with user feedback. This approach is then validated through an experiment on 12 non-disabled subjects to verify the increase in performance, and through a further pilot study on an subject with amputation, following the adaptation of the software to a prosthetic hand under development.

Item URL in elib:https://elib.dlr.de/195733/
Document Type:Thesis (Master's)
Title:Improving Pattern Recognition based Myocontrol of Prosthetic Hands via User-in-the-Loop
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Refereed publication:No
Open Access:No
Number of Pages:65
Keywords:Prosthetic Hands, Myoelectric Control, Limb Position Effect, User in the Loop
Institution:Alma Mater Studiorum, University of Bologna
Department:Electrical, Electronic, and Information Engineering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Terrestrial Assistance Robotics
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Gigli, Mr Andrea
Deposited On:03 Jul 2023 08:59
Last Modified:03 Jul 2023 08:59

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