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Arm-Intent-Detection with Bio-Signals in Virtual Reality

Iszatt, Justin (2018) Arm-Intent-Detection with Bio-Signals in Virtual Reality. DLR-Interner Bericht. DLR-IB-RM-OP 2018-38. Master's. TU München. 80 S.

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Looking at a huge number of amputees experiencing neuropathic phantom pain limb, this thesis presents the VITA 2.0 platform, targeting phantom pain relief by implementing the classical mirror therapy in virtual reality (VR). Broadly speaking the work surveys myography data collection, interpretation towards arm intention detection and visualisation of sEMG data in a virtual world. It also presents a way of low-cost, occlusion invariant arm constellation tracking to control the pose of a virtual arm. Apart from developing a new and versatile platform, a set of user focused experiments was conducted demonstrating the influence of the arm constellation for a successful intention detection. Whilst targeting healthy participants at this stage, future endeavours are set to include experiments with trans-radial amputees.

Item URL in elib:https://elib.dlr.de/119356/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Title:Arm-Intent-Detection with Bio-Signals in Virtual Reality
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:15 March 2018
Refereed publication:No
Open Access:Yes
Number of Pages:80
Keywords:surface electromyography, machine learning, intention prediction, virtual reality, bio-signals
Institution:TU München
Department:Department of Informatics
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)
Deposited By: Beinhofer, Gabriele
Deposited On:26 Mar 2018 02:55
Last Modified:31 Jul 2019 20:16

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