The effects of landmarks and training on 3D surface anthropometric reliability and hip joint center prediction

Wen Ko Chiou*, Bi Hui Chen, Wei Ying Chou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Deforming 3D scanned data is an important and necessary procedure for the development of dynamic three-dimensional (3D) scanned anthropometry. The inaccuracies in joint center will cause error in deformation. Bell et al. developed the equations to predict hip joint center (HJC) based on anthropometric measurement of inter-anterior superior iliac spine distance (IAD). However, no previous study has reported on the reliability of IAD measurements in 3D scanned data, and therefore the effect on HJC estimates needs to be determined. Four measurers (2 trained/ 2 untrained) were recruited into this study to collect measurements of IAD in 3D scanned data under two situations (with/ without landmarks). The intra-class correlation (ICC) and technical error of measurement (TEM) were used to assess the reliability of the measurements. Results showed the untrained group had the lowest reliability and validity of IAD measurement in the without landmarks situation, and the error of HJC prediction in this situation was significantly higher than in the other situations (p<0.001). Both of training and use of landmarks improved the validity of measurement and HJC prediction; compared with training alone, attaching landmarks can significantly improve the reliability of measurement.

Original languageEnglish
Title of host publicationDigital Human Modeling - Third International Conference, ICDHM 2011, Held as Part of HCI International 2011, Proceedings
Pages3-11
Number of pages9
DOIs
StatePublished - 2011
Event3rd International Conference on Digital Human Modeling, ICDHM 2011, Held as Part of HCI International 2011 - Orlando, FL, United States
Duration: 09 07 201114 07 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6777 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Digital Human Modeling, ICDHM 2011, Held as Part of HCI International 2011
Country/TerritoryUnited States
CityOrlando, FL
Period09/07/1114/07/11

Keywords

  • Hip joint center
  • Landmarks
  • Reliability
  • Three-dimensional body scanner
  • Trained

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