Estimation of accuracy of an optoelectronic system in the measurement of head inertial components by means of an accelerometer based device

Paolo Cappa, Fabrizio Patanè, Stefano Rossi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study compared acceleration data, relative to the head during normal walking of a healthy subject, obtained from an optoelectronic 3-D camera system (OS) with those obtained from a helmet instrumented with a redundant number of accelerometers. The differences between the two data rows in time series obtained in the conducted trials could be explained by: (i) the switching of the camera set that see each one or more markers placed on the helmet during movement and (ii) the inherent effects induced by the noise superimposed to the positional signals in the double differentiation procedure. To reduce the noise effects, the positional signals were initially filtered choosing the optimal cut-off frequency that minimize the RMSE between the OS and the instrumented helmet. The optimal cut off frequencies resulted equal to about 5-7 Hz and 7-12 Hz for angular and linear components, respectively. However, the results indicated also that, for the considered movements of the head, the RMS error is extremely sensible even to small variation of the cut off frequencies. In fact, a small decrease or increase in the value of the chosen frequency corresponds to an evident attenuation or an unacceptable amplification (≈20%) of acceleration peaks.

Original languageEnglish
Title of host publicationIFMBE Proceedings
PublisherSpringer Verlag
Pages2896-2899
Number of pages4
Volume14
Edition1
Publication statusPublished - 2007
Event10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 - Seoul, Korea, Republic of
Duration: Aug 27 2006Sep 1 2006

Other

Other10th World Congress on Medical Physics and Biomedical Engineering, WC 2006
CountryKorea, Republic of
CitySeoul
Period8/27/069/1/06

Keywords

  • Acceleration measurements
  • Accuracy
  • Human movement analysis
  • Optoelectronic stereophotogrammetry

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

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