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"
}