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BY-NC-ND 4.0 license Open Access Published by De Gruyter September 22, 2018

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 EMAIL logo , Julia Demmer , Tobias Bolten , Edwin Naroska , Gudrun Stockmanns , Reinhard Viga and Anton Grabmaier

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.

Published Online: 2018-09-22
Published in Print: 2018-09-01

© 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 International License.

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