Evaluation of anatomical landmark calibration accuracy of a motion capture based analysis protocol

Kristóf Rácz, Zsofia Palya, Mária Takács, Gergely Nagymáté, Rita M. Kiss

Research output: Contribution to journalConference article

Abstract

Motion analysis is a quickly developing field, with many practical uses in research, clinical applications and sports. The main goal of the present study was to determine the accuracy of anatomical landmark placement in a new motion analysis method, that uses rigid-body tracking. The position and orientation of rigid bodies were measured by an OptiTrack (NaturalPoint, Corvallis, OR, USA) motion capture system. Eight subjects (age: 40.8±28.8 years, mass: 69.4±18.1 kg, height: 168.1±14.8 cm) were measured by two examiners. Intra-examiner errors were determined from the variation of the calibrated position of anatomical landmarks, while inter-examiner errors were determined as the difference of the mean calibrated position of anatomical landmarks between the examiners. An intra-examiner error of just 2-3 mm was achieved in cases, the calibration method is satisfyingly accurate. The results showed that, the error of examiner with medical background was higher compared to the examiner with experience in the measurement method. No connection was found between subject body mass index and calibration accuracy. However, it was found that inter-examiner errors are very large, thus making measurements incomparable between examiners. These findings should be considered during further development of the measurement protocol.

Original languageEnglish
Pages (from-to)26538-26543
Number of pages6
JournalMaterials Today: Proceedings
Volume5
Issue number13
DOIs
Publication statusPublished - Jan 1 2018
Event34th Danubia Adria Symposium on Advances in Experimental Mechanics, DAS 2017 - Trieste, Italy
Duration: Sep 19 2017Sep 22 2017

Keywords

  • Accuracy
  • Anatomical landmark placement artefact
  • Gait analysis
  • Motion analysis
  • Motion capture

ASJC Scopus subject areas

  • Materials Science(all)

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