Publication detail
Segmentation of Human Motion Acceleration with Probabilistic Classifier
KUMPÁN, P.
English title
Segmentation of Human Motion Acceleration with Probabilistic Classifier
Type
conference paper
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
Signal segmentation, Change point detection, Motion analysis, Trigg’s tracking signal.
Released
18.05.2017
Publisher
Brno University of Technology
Location
Brno
ISBN
978-80-214-5497-2
Book
ENGINEERING MECHANICS 2017
Edition number
1
Pages from–to
566–569
Pages count
1150
BIBTEX
@inproceedings{BUT136250,
author="Pavel {Kumpán},
title="Segmentation of Human Motion Acceleration with Probabilistic Classifier ",
booktitle="ENGINEERING MECHANICS 2017",
year="2017",
month="May",
pages="566--569",
publisher="Brno University of Technology",
address="Brno",
isbn="978-80-214-5497-2"
}