Description

• Title:
  Application of Functional Data Analysis in Complex Human Movement Analysis
• Creator:
  Zhang, Baifa;
  Lin, Zhi-Cheng
• Description:
  Functional data analysis, pioneered by Ramsay, the president of the statistical society of Canada, is a novel statistical method widely applied in the field of human movement analysis. This study clarifies the relevant concepts and basic processes of functional data analysis, outlines the computational framework of functional principal component analysis, and focuses on exploring its applications in sports science, clinical rehabilitation, and motor development. Compared to traditional cross-sectional statistics, Functional data nalysis demonstrates unique advantages in human movement analysis research and is expected to become a reliable technical means for exploring the laws of human mechanical movement in the future.
• Object availability:
  free access
• Rights: https://creativecommons.org/licenses/by-nc-sa/4.0 ;
  Prawa autorskie (c) 2025 Baifa Zhang, Zhi-Cheng Lin
• Date:
  2025.04.30
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Language:
  English
• Source:
  Quality in Sport; Tom 40 (2025); 60004;
  Quality in Sport; Vol. 40 (2025); 60004;
  2450-3118
• Format:
  application/pdf
• Publisher:
  University Center for Sports Research, Nicolaus Copernicus University, Torun, Poland
• Relation: https://apcz.umk.pl/QS/article/view/60004/42325
• Subject:
  Functional Data Analysis;
  Movement Analysis;
  Time series data
• Identifier: https://apcz.umk.pl/QS/article/view/60004
• Data provider:
  Akademicka Platforma Czasopism
• Can I use it?:
  seek permission
• Type:
  text