Korean Journal of Applied Biomechanics (한국운동역학회지)

Korean Society of Applied Biomechanics (한국운동역학회)
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Single Gyroscope Sensor Module System for Gait Event Detection

보행시점 검출을 위한 단일 각속도 센서모듈 시스템

  • Kang, Dong-Won (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Choi, Jin-Seung (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Kim, Han-Su (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Oh, Ho-Sang (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Seo, Jeong-Woo (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Tack, Gye-Rae (Department of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University)
  • 강동원 (건국대학교 일반대학원 의학공학과) ;
  • 최진승 (건국대학교 일반대학원 의학공학과) ;
  • 김한수 (건국대학교 일반대학원 의학공학과) ;
  • 오호상 (건국대학교 일반대학원 의학공학과) ;
  • 서정우 (건국대학교 일반대학원 의학공학과) ;
  • 탁계래 (건국대학교 의료생명대학 의학공학부)
  • Received : 2011.09.30
  • Accepted : 2011.12.14
  • Published : 2011.12.31
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Abstract

The purpose of this study was to develop the inertial sensor module system to detect gait event using single angular rate sensor(gyroscope), and evaluate the accuracy of this system. This sensor module is attached at the heel and gait events such as heel strike, foot flat, heel off, toe off are detected by using proposed automatic event detection algorithm. The developed algorithm detect characteristics of pitch data of the gyroscope to find gait event. To evaluate the accuracy of system, 3D motion capture system was used and synchronized with sensor module system for comparison of gait event timings. In experiment, 6 subjects performed 5 trials level walking with 3 different conditions such as slow, preferred and fast. Results showed that gait event timings by sensor module system are similar to that by kinematic data, because maximum absolute errors were under 37.4msec regardless of gait velocity. Therefore, this system can be used to detect gait events. Although this system has advantages of small, light weight, long-term monitoring and high accuracy, it is necessary to improve the system to get other gait information such as gait velocity, stride length, step width and joint angles.

Keywords

References

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