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Analysis of human motion data using recurrence plots and recurrence quantification measures

  • Polish-Japanese Academy of Information Technology
  • Medical University of Silesia in Katowice

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

The authors present exemplary application of recurrence plots and recurrence quantification analysis for the purpose of exploration of experimental time series describing the movements of the hip joint during a few selected assisted rehabilitation exercises maintaining mobility of the hip in case of coxarthrosis. Time series were extracted from motion sequences which were recorded in the Human Motion Laboratory (HML) of the Polish-Japanese Academy of Information Technology in Bytom, Poland by means of the Vicon Motion Kinematics Acquisition and Analysis System. Additionally, some features of a recurrence plot were presented on the basis of the Rabinovich-Fabrikant system.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings
EditorsTzung-Pei Hong, Ngoc Thanh Nguyen, Bogdan Trawinski, Hamido Fujita
PublisherSpringer Verlag
Pages397-406
Number of pages10
ISBN (Print)9783662493892
DOIs
Publication statusPublished - 2016
Event8th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2016 - Da Nang, Viet Nam
Duration: 14 Mar 2016 → 16 Mar 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9622
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2016
Country/TerritoryViet Nam
CityDa Nang
Period14/03/16 → 16/03/16

Keywords

  • Human motion analysis
  • Recurrence plot
  • Recurrence quantification analysis
  • Time series

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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