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Online prediction of the hand configuration using ultrasound images of the forearm

Sierra González, David (2012) Online prediction of the hand configuration using ultrasound images of the forearm. DLR-Interner Bericht. DLR-IB 572-2012/20. Master's. Hochschule Karlsruhe. 121 S.

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Previous studies have demonstrated a linear relationship between first degree features extracted from ultrasound images taken from the forearm and the angles at which the fingers of the hand are. Using this information it is possible to train a system that in real time predicts the position of the fingers while receiving a feed of ultrasound images of the forearm. With the target of reaching a robust system capable of running without without decay in the performance overtime several approaches were taken. A more dynamic training system was implemented using incremental linear regression. This allows the patient to switch back and forth from the training part of the experiment to the prediction phase. While predicting, a 3D hand model that moves based exclusively on the information extracted from the ultrasound images is displayed on the screen.

Item URL in elib:https://elib.dlr.de/79953/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Title:Online prediction of the hand configuration using ultrasound images of the forearm
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:15 August 2012
Open Access:No
Number of Pages:121
Keywords:Prediction, Hand, Configuration, Ultrasound, Forearm
Institution:Hochschule Karlsruhe
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 - RMC - Mechatronik und Telerobotik (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012)
Deposited By: Laskey, Jessica
Deposited On:19 Dec 2012 10:14
Last Modified:13 Jul 2016 17:28

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