Reliability of stride length estimation in self-pace and brisk walking with an inertial measurement unit on shank

R. Kasai, T. Kodama, Z. Gu, Di Zhang, W. Kong, Sarah Cosentino, S. Sessa, Yasuo Kawakami, Atsuo Takanishi

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

Abstract

The use of Inertial Measurement Unit (IMU) for gait analysis is gaining popularity because of its advantages of low cost and non-limited workspace. In this context, researchers are focusing on methods for automated data analysis. For example, many algorithms for stride length estimation have been developed. These algorithms rely on event detection to compute gait parameters during walking and on orientation estimation for a more precise double integration of acceleration. However, at the present, there is not comparison between existing algorithms, and the applicability of each algorithm for different walking patterns is not clear. In this paper, we studied the effect on the stride length estimation using three different techniques of event detection and two techniques of orientation estimation, by using an IMU on the lateral side of shank above the ankle. In total 6 patterns of stride estimation algorithms were compared on different walking patterns of normal and brisk walking. We evaluated the techniques in terms of precision, accuracy, and shape of the histogram of the stride estimation error.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages671-676
Number of pages6
ISBN (Electronic)9781509067572
DOIs
Publication statusPublished - 2017 Aug 23
Event14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 - Takamatsu, Japan
Duration: 2017 Aug 62017 Aug 9

Other

Other14th IEEE International Conference on Mechatronics and Automation, ICMA 2017
CountryJapan
CityTakamatsu
Period17/8/617/8/9

Keywords

  • Double integration
  • Gait analysis
  • IMU
  • R-adaptive
  • Stride length estimation

ASJC Scopus subject areas

  • Control and Optimization
  • Instrumentation
  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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  • Cite this

    Kasai, R., Kodama, T., Gu, Z., Zhang, D., Kong, W., Cosentino, S., Sessa, S., Kawakami, Y., & Takanishi, A. (2017). Reliability of stride length estimation in self-pace and brisk walking with an inertial measurement unit on shank. In 2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017 (pp. 671-676). [8015896] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA.2017.8015896