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Myocontrol of Prosthetic Hands: Enforcing Active Learning by a Machine Learning based Fault Detector

Salzillo, Vincenzo (2020) Myocontrol of Prosthetic Hands: Enforcing Active Learning by a Machine Learning based Fault Detector. Master's, Alma Mater Studiorum, Universtiy of Bologna.

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Official URL: https://amslaurea.unibo.it/id/eprint/21511

Abstract

Improvements in the control of prosthetic hands can provide a future solution for amputated people, improving their motor skills and in general their quality of life. The prosthesis controlled by electromyography (EMG) are studied for their greater potential, but the technology is still unprepared for mass usage. The control is too unstable due to various phenomena related to the inconstancy of bioelectric signals and changes in the human body posture during the execution of tasks. This thesis is focused on the creation of a fault detector able to detect these instabilities and correct the prosthesis' future behaviour. Machine learning algorithms and methodologies were employed for this objective. The approach is then tested on four healthy subjects with a preliminary experiment.

Item URL in elib:https://elib.dlr.de/195735/
Document Type:Thesis (Master's)
Title:Myocontrol of Prosthetic Hands: Enforcing Active Learning by a Machine Learning based Fault Detector
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Salzillo, VincenzoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2020
Refereed publication:No
Open Access:No
Number of Pages:66
Status:Published
Keywords:Prosthetic Hands, Myoelectric Control, Fault Detection, Electromyography
Institution:Alma Mater Studiorum, Universtiy 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 08:53
Last Modified:03 Jul 2023 08:53

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