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Trade-off between Model Capacity and Controllability in Realtime Myoelectric Control

Roncagliolo, Serena (2022) Trade-off between Model Capacity and Controllability in Realtime Myoelectric Control. Master's, University of Genoa.

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Abstract

The loss of the upper limbs can bring severe inequality in daily life, influencing the social and mental state of the subject. Thus, early developments in body-driven prostheses date centuries ago and they have been developing ever since. During 1950s, rapid developments in technology resulted in powered myoelectric hand prosthetics. Myocontrol consists of defining control commands for a self-powered prosthetic device using decoded signals originating from the muscle fibres of the amputated subject. This conversion should be as natural and swiftly as possible and make use of a non-invasive interface between the subject and the device. The aim of this report is to present the state of the art of the myocontrol technology developed until today. We will then briefly introduce the hardware we will use and the possible strategies we will follow.

Item URL in elib:https://elib.dlr.de/195736/
Document Type:Thesis (Master's)
Title:Trade-off between Model Capacity and Controllability in Realtime Myoelectric Control
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Roncagliolo, SerenaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2022
Refereed publication:No
Open Access:No
Number of Pages:72
Status:Published
Keywords:Prosthetic Hands, Myoelectric Control, Model Capacity, Model Understandability, Interaction, User in the Loop
Institution:University of Genoa
Department:Department of Informatics, Bioengineering, Robotics and Systems 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 08:56
Last Modified:20 Jul 2023 07:51

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