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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.


CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

Open Access
Online
ISSN
2364-5504
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An HMM-based averaging approach for creating mean motion data from a full-body Motion Capture system to support the development of a biomechanical model

Andreas Kitzig
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  • Niederrhein University of Applied Sciences, Faculty of Electrical Engineering and Computer Science, Ambient Intelligence Laboratory, Krefeld, Germany
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/ Julia Demmer
  • Niederrhein University of Applied Sciences, Faculty of Electrical Engineering and Computer Science, Ambient Intelligence Laboratory, Krefeld, Germany
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/ Tobias Bolten
  • Niederrhein University of Applied Sciences, Faculty of Electrical Engineering and Computer Science, Ambient Intelligence Laboratory, Krefeld, Germany
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/ Edwin Naroska
  • Niederrhein University of Applied Sciences, Faculty of Electrical Engineering and Computer Science, Ambient Intelligence Laboratory, Krefeld, Germany
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/ Gudrun Stockmanns
  • Niederrhein University of Applied Sciences, Faculty of Electrical Engineering and Computer Science, Ambient Intelligence Laboratory, Krefeld, Germany
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/ Reinhard Viga
  • University of Duisburg- Essen, Department of Electronic Components and Circuits,, Duisburg, Germany
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/ Anton Grabmaier
  • University of Duisburg- Essen, Department of Electronic Components and Circuits,, Duisburg, Germany
  • Fraunhofer Institute for Microelectronic Circuits and Systems, Finkenstraße, Duisburg, Germany
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Published Online: 2018-09-22 | DOI: https://doi.org/10.1515/cdbme-2018-0093

Abstract

Motion capture systems or MoCap systems are used for game development and in the field of sports for the assessment and digitalization of human movement. Furthermore, MoCap systems are also used in the medical and therapeutic field for the analysis of human movement patterns. As examples gait analysis or examination of the musculoskeletal system and its function should be mentioned. Most application relate to a specific person and their movement or to the comparison of movements of different people. Within the scope of this paper an averaged motion sequence is supposed to be generated from MoCap data in order to be able to use it in the field of biomechanical modeling and simulation. For the averaging of individual movement sequences of different persons a Hidden Markov Model (HMM) based approach is presented.

Keywords: Biosignal processing; model driven development; biomechanical modelling; motion pattern database; averaging motion pattern data

About the article

Published Online: 2018-09-22

Published in Print: 2018-09-01


Citation Information: Current Directions in Biomedical Engineering, Volume 4, Issue 1, Pages 389–393, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2018-0093.

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© 2018 Andreas Kitzig, Julia Demmer, Tobias Bolten, Edwin Narosa, Gudrun Stockmanns, Reinhard Viga, Anton Grabmaier, published by Walter de Gruyter Berlin/Boston. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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