Detail publikace
Segmentation of Human Motion Acceleration with Probabilistic Classifier
KUMPÁN, P.
Anglický název
Segmentation of Human Motion Acceleration with Probabilistic Classifier
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
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.
Anglický abstrakt
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.
Klíčová slova anglicky
Signal segmentation, Change point detection, Motion analysis, Trigg’s tracking signal.
Vydáno
18.05.2017
Nakladatel
Brno University of Technology
Místo
Brno
ISBN
978-80-214-5497-2
Kniha
ENGINEERING MECHANICS 2017
Číslo edice
1
Strany od–do
566–569
Počet stran
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"
}