International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2575

Full Length Research Paper

Uncertainty analysis of 3D motion data available from motion analysis system

Sikyung Kim1, Mohammad Mynuddin Gani Mazumder1* and Se Jin Park2
1Department of Electrical Engineering, Kongju National University, South Korea. 2Korean Research Institute of Standards and Science (KRISS) 1 Doryong-dong, Yuseong-gu, Daejeon 305-340, Korea.
Email: [email protected]

  •  Accepted: 10 June 2010
  •  Published: 31 July 2010

Abstract

A complete understanding of motion is important for assisting clinicians and engineers in the prevention, diagnosis, and treatment of people with physical disorders. For 3D motion measurement systems, when applied to measuring human motion, motion data is sometimes reported with a standard error of measurement reflecting the uncertainty of the measurement caused by this skin movement artefact during motion as well as system error and marker noise. This lack of information seriously limits the ability to investigate motion analysis for the researchers. The purpose of this paper is to quantify the uncertainty caused by skin movement artifact as well as sensor noise and measurement error of the motion analysis system. We present a method for incorporating the uncertainty of the matching between a model of the calibration device (3D robot) and measurements, obtained with a motion analysis system (Optotrak Certus), in a Kalman filter.

 

Key words: Gait, Kalman filter, skin artifact, noise, uncertainty, motion.