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Simple Camera-based Evaluation System for Lower Limb Alignment during Pedalling

자전거 페달링 시 하지 정렬 평가를 위한 영상 시스템 개발

  • Oh, Ho-Sang (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Choi, Jin-Seung (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Kang, Dong-Won (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Seo, Jeong-Woo (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Bae, Jae-Hyuk (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Tack, Gye-Rae (Department of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University)
  • 오호상 (건국대학교 대학원 의학공학과) ;
  • 최진승 (건국대학교 대학원 의학공학과) ;
  • 강동원 (건국대학교 대학원 의학공학과) ;
  • 서정우 (건국대학교 대학원 의학공학과) ;
  • 배재혁 (건국대학교 대학원 의학공학과) ;
  • 탁계래 (건국대학교 의료생명대학 의학공학부)
  • Received : 2012.01.30
  • Accepted : 2012.03.22
  • Published : 2012.03.31

Abstract

Simple camera-based system for evaluation of lower limb alignment as a part of an automated cycling fitting system was developed and verified in this study. Developed imaging system can evaluate lower limb alignment quantitatively during pedaling using a general camcorder and single marker attached on the knee. Threshold-based marker detection algorithm was proposed in this study. Experiment was carried out to compare the trajectory data from marker detection algorithm of the developed imaging system with the trajectory data from 3-D motion capture system. Results showed that average error between trajectories was 2.33 mm (0.92 %) in the vertical direction and 0.62 mm (1.86 %) in the medio-lateral direction. There existed significant correlation between two measured values (r=0.9996 in the vertical direction and r=0.9975 in the medio-lateral direction). It can be concluded that developed imaging system be applied to evaluate lower limb alignment which is an important factor for dynamic bicycle fitting.

Keywords

References

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