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Optimizing Myocontrol for Daily-Life Activities

Rauh, Leonhard (2017) Optimizing Myocontrol for Daily-Life Activities. DLR-Interner Bericht. DLR-IB-RM-OP-2017-310. Master's. Technische Universität München. 78 S.

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Communication between humans and machines is rapidly improving through advancements in speech-processing and developments like a touchscreen. Human-Machine-Interfaces are especially crucial in the field of self-powered prostheses. An ideal prosthesis would provide the user with a natural control like experience. Unfortunately, this goal is still not achieved. Especially self-powered hand prostheses are struggling with the simultaneous proportional control of multiple degrees of freedom (DOF). Even just adding the option of a wrist rotation leads to instabilities of the control system. Therefore, the goal of this thesis is, to improve myocontrol, by analyzing the so-called interference problem in surface electromyography-based prosthetic control systems. Additionally, it is intended, to find a metric that identifies problematic actions or even action combinations.

Item URL in elib:https://elib.dlr.de/119314/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Title:Optimizing Myocontrol for Daily-Life Activities
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:1 September 2017
Refereed publication:No
Open Access:No
Number of Pages:78
Keywords:human-machine-interface, hand prostheses, prosthetic control, rehabilitation robotics, machine learning
Institution:Technische Universität München
Department:Fakultät für Informatik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Vorhaben Intelligente Mobilität (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Castellini, Dr. Claudio
Deposited On:26 Mar 2018 02:54
Last Modified:26 Mar 2018 02:54

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