Nowak, Markus (2024) Co-Adaptation in Upper-Limb Prosthetics: Interactive Machine Learning applied to Myocontrol. Dissertation, Technische Universität München.
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Official URL: https://mediatum.ub.tum.de/?id=1705702
Abstract
We addressed users' dissatisfaction with myoelectric prostheses by focusing on the co-adaptation of the user and prosthesis through incrementality in myocontrol. For this purpose, we have investigated improvements in the usage of muscle signals, employed Radical Constructivism for a structured approach to interaction, and developed a novel assessment and training protocol for multi-articulated upper-limb prostheses.
Item URL in elib: | https://elib.dlr.de/208391/ | ||||||||
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Document Type: | Thesis (Dissertation) | ||||||||
Title: | Co-Adaptation in Upper-Limb Prosthetics: Interactive Machine Learning applied to Myocontrol | ||||||||
Authors: |
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Date: | 2024 | ||||||||
Open Access: | No | ||||||||
Number of Pages: | 187 | ||||||||
Status: | Published | ||||||||
Keywords: | myoelectric prostheses; prosthetics; myocontrol | ||||||||
Institution: | Technische Universität München | ||||||||
Department: | TUM School of Computation, Information and Technology | ||||||||
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 - Intuitive human-robot interface [RO] | ||||||||
Location: | Oberpfaffenhofen | ||||||||
Institutes and Institutions: | Institute of Robotics and Mechatronics (since 2013) | ||||||||
Deposited By: | Strobl, Dr.-Ing. Klaus H. | ||||||||
Deposited On: | 18 Nov 2024 10:21 | ||||||||
Last Modified: | 18 Nov 2024 10:21 |
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