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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2016 Vol.6(5): 268-271 ISSN: 2010-3697
DOI: 10.7763/IJMO.2016.V6.538

An IMU-Based Gait Detection for a Wearable Walking Assistive Device

Shanhai Jin, Changfu Jin, Xiaodan Wang, and Yonggao Jin
Abstract—In implementation of walking assistive devices, one major challenge is to detect gait cycle exactly, and then provide assistive force at proper timing in the gait cycle. This paper presents an IMU-based gait detecting algorithm for a wearable walking assistive device. The presented algorithm detects gait cycle by using measured hip velocity and hip angle signals. In addition, it is computationally inexpensive, and thus suitable for real-time applications. Experimental results on two subjects validated the effectiveness of the presented algorithm.

Index Terms—IMU, gait detection, real time, wearable assistive device

The authors are with the School of Engineering, Yanbian University, 133002 Yanji, China (e-mail: jinshanhai@ybu.edu.cn).

[PDF]

Cite: Shanhai Jin, Changfu Jin, Xiaodan Wang, and Yonggao Jin, "An IMU-Based Gait Detection for a Wearable Walking Assistive Device," International Journal of Modeling and Optimization vol. 6, no. 5, pp. 268-271, 2016.

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