Publication detail

Segmentation of Human Motion Acceleration with Probabilistic Classifier

KUMPÁN, P.

English title

Segmentation of Human Motion Acceleration with Probabilistic Classifier

Type

Paper in proceedings (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.

Keywords in English

Signal segmentation, Change point detection, Motion analysis, Trigg’s tracking signal.

Released

2017-05-18

Publisher

Brno University of Technology

Location

Brno

ISBN

978-80-214-5497-2

Book

ENGINEERING MECHANICS 2017

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",
  series="2017",
  number="1",
  pages="566--569",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-5497-2"
}