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Technical-note : Real-time Evaluation System for Quantitative Dynamic Fitting during Pedaling

단신 : 페달링 시 정량적인 동적 피팅을 위한 실시간 평가 시스템

  • Lee, Joo-Hack (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Kang, Dong-Won (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Bae, Jae-Hyuk (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Shin, Yoon-Ho (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Choi, Jin-Seung (Department of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University) ;
  • Tack, Gye-Rae (Department of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University)
  • 이주학 (건국대학교 일반대학원 의학공학과) ;
  • 강동원 (건국대학교 일반대학원 의학공학과) ;
  • 배재혁 (건국대학교 일반대학원 의학공학과) ;
  • 신윤호 (건국대학교 일반대학원 의학공학과) ;
  • 최진승 (건국대학교 의료생명대학 의학공학부) ;
  • 탁계래 (건국대학교 의료생명대학 의학공학부)
  • Received : 2014.03.25
  • Accepted : 2014.06.07
  • Published : 2014.06.30

Abstract

In this study, a real-time evaluation system for quantitative dynamic fitting during pedaling was developed. The system is consisted of LED markers, a digital camera connected to a computer and a marker detecting program. LED markers are attached to hip, knee, ankle joint and fifth metatarsal in the sagittal plane. Playstation3 eye which is selected as a main digital camera in this paper has many merits for using motion capture, such as high FPS (Frame per second) about 180FPS, $320{\times}240$ resolution, and low-cost with easy to use. The maker detecting program was made by using Labview2010 with Vision builder. The program was made up of three parts, image acquisition & processing, marker detection & joint angle calculation, and output section. The digital camera's image was acquired in 95FPS, and the program was set-up to measure the lower-joint angle in real-time, providing the user as a graph, and allowing to save it as a test file. The system was verified by pedalling at three saddle heights (knee angle: 25, 35, $45^{\circ}$) and three cadences (30, 60, 90 rpm) at each saddle heights by using Holmes method, a method of measuring lower limbs angle, to determine the saddle height. The result has shown low average error and strong correlation of the system, respectively, $1.18{\pm}0.44^{\circ}$, $0.99{\pm}0.01^{\circ}$. There was little error due to the changes in the saddle height but absolute error occurred by cadence. Considering the average error is approximately $1^{\circ}$, it is a suitable system for quantitative dynamic fitting evaluation. It is necessary to decrease error by using two digital camera with frontal and sagittal plane in future study.

Keywords

References

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