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

R. Kasai, T. Kodama, Z. Gu, D. Zhang, W. Kong, S. Cosentino, S. Sessa, Y. Kawakami, A. Takanishi

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ671-676
ページ数6
ISBN(電子版)9781509067572
DOI
出版ステータスPublished - 2017 8 23
イベント14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 - Takamatsu, Japan
継続期間: 2017 8 62017 8 9

出版物シリーズ

名前2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017

Other

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

ASJC Scopus subject areas

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

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