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  4. Infant automated motion recognition technology using RGB-depth sensors for marker-less, rater-independent detection of abnormal movements in early infancy - in a motion project
 
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2018
Conference Paper
Title

Infant automated motion recognition technology using RGB-depth sensors for marker-less, rater-independent detection of abnormal movements in early infancy - in a motion project

Title Supplement
Abstract
Author(s)
Schröder, Sebastian
Hesse, Nikolas  
Tacke, Uta
Weinberger, Raphael
Schulz, Anne
Vill, Katharina
Blaschek, Astrid
Gerstl, Lucia
Heinen, Florian
Bodensteiner, Christoph  
Arens, Michael  
Müller-Felber, Wolfgang
Mainwork
Neurowoche 2018. Abstracts  
Conference
Deutsche Gesellschaft für Neurologie (DGN Kongress) 2018  
Gesellschaft für Neuropädiatrie (GNP Jahrestagung) 2018  
Deutsche Gesellschaft für Neuropathologie und Neuroanatomie (DGNN Jahrestagung) 2018  
File(s)
Download (71.05 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-402561
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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