Gait phase classification for in-home gait assessment

Ye, Minxiang and Yang, Cheng and Stankovic, Vladimir and Stankovic, Lina and Cheng, Samuel (2017) Gait phase classification for in-home gait assessment. In: IEEE International Conference on Multimedia and Expo, 2017-07-10 - 2017-07-14, Harbour Grand Kowloon hotel. (https://doi.org/10.1109/ICME.2017.8019500)

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Abstract

With growing ageing population, acquiring joint measurements with sufficient accuracy for reliable gait assessment is essential. Additionally, the quality of gait analysis relies heavily on accurate feature selection and classification. Sensor-driven and one-camera optical motion capture systems are becoming increasingly popular in the scientific literature due to their portability and cost-efficacy. In this paper, we propose 12 gait parameters to characterise gait patterns and a novel gait-phase classifier, resulting in comparable classification performance with a state-of-the-art multi-sensor optical motion system. Furthermore, a novel multi-channel time series segmentation method is proposed that maximizes the temporal information of gait parameters improving the final classification success rate after gait event reconstruction. The validation, conducted over 126 experiments on 6 healthy volunteers and 9 stroke patients with handlabelled ground truth gait phases, demonstrates high gait classification accuracy.

ORCID iDs

Ye, Minxiang ORCID logoORCID: https://orcid.org/0000-0003-0083-7145, Yang, Cheng ORCID logoORCID: https://orcid.org/0000-0002-3540-1598, Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420, Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976 and Cheng, Samuel;
  • Item type:Conference or Workshop Item(Paper)
    ID code:60275
    Dates:
    Date
    Event
    31 August 2017
    Published
    27 February 2017
    Accepted
    Notes:© 2017 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.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:24 Mar 2017 10:34
    Last modified:19 Nov 2024 01:29
    URI:https://strathprints.strath.ac.uk/id/eprint/60275
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