LoginProceedings Vol. 23 (2017)
ENGINEERING MECHANICS 2017
23rd INTERNATIONAL CONFERENCE
May 15 – 18, 2017, Svratka, Czech Republic
;
May 15 – 18, 2017, Svratka, Czech Republic
Editors: Vladimír Fuis
Copyright © 2017 Brno University of Technology, Faculty of Mechanical Engineering, Institute of Solid Mechanics, Mechatronics and Biomechanics, Brno
ISBN 978-80-214-5497-2 (printed)
ISSN 1805-8248 (printed)
ISSN 1805-8256 (electronic)
ISSN 1805-8248 (printed)
ISSN 1805-8256 (electronic)
list of papers scientific commitee
SEGMENTATION OF HUMAN MOTION ACCELERATION WITH PROBABILISTIC CLASSIFIER
Kumpán P.
pages 566 - 569, full text
pages 566 - 569, full text
This paper describes a method for signal segmentation in human motion analysis. Proposed method uses a probabilistic change point estimator combined with a Trigg’s tracking signal for detection of changes in a signal variation and segmentation to the subsections by these change points. Main usage of this method is in fields of sport training or health condition monitoring but it can be also used in technical monitoring.
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Text and facts may be copied and used freely, but credit should be given to these Proceedings.
All papers were reviewed by members of the scientific committee.
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