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    Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs

    202813_202813.pdf (8.704Mb)
    Access Status
    Open access
    Authors
    Abhayasinghe, Nimsiri
    Murray, Iain
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Abhayasinghe, K. and Murray, I. 2014. Human Gait Phase Recognition Based on Thigh Movement Computed using IMUs, in Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Apr 21-24 2014. Singapore: IEEE.
    Source Title
    Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
    Source Conference
    Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
    DOI
    10.1109/ISSNIP.2014.6827604
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/21533
    Collection
    • Curtin Research Publications
    Abstract

    Human gait analysis is a major topic in pedestrian navigation and geriatric care. Identifying gait phases is important in using human gait for pedestrian navigation and tracking. Most of existing gait phase identification techniques use multiple sensor modules attached to each section of the lower body. This paper discusses the feasibility of recognizing gait phases using a single inertial measurement unit (IMU) placed in a trouser pocket of the subject. The movement of the thigh is computed by fusing accelerometer and the gyroscopic data gathered from the IMU. Experimental results indicated that most of the major gait phases such as Initial Contact, Load Response, Mid Stance, Terminal Stance, Pre-Swing and Swing can be identified by the movement of one thigh tracked by an IMU. It was also noted that the movement of the offside leg can also be estimated from the fused IMU data. This paper presents a method to recognize all major phases of human stride cycle during walking from movement of one thigh.

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