Handle reaction vector analysis with fuzzy clustering and support vector machine during FES-assisted walking rehabilitation

Weixi Zhu, Dong Ming, Baikun Wan, Xiaoman Cheng, Hongzhi Qi, Yuanyuan Chen, Rui Xu, Weijie Wang

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

    Abstract

    This paper proposed Fuzzy clustering of C means and K means methods to extract the lateral features of lower limbs movement from handle reaction vector (HRV )data. With C-means clustering, the SVM recognition rate of lateral features was usually above 90% while, with K-means clustering, the recognition rate was close to 85%. The best recognition rate was even reaching up to 97% for some individual subject. Then the samples from all subjects were processed together with the cross-validation. Our experimental results showed that the HRV signal could be used with fuzzy clustering and support vector machine to effectively classify the lateral features of lower limbs movement. It may provide a new choice for FES control signal. The optimizing of the algorism parameters can be introduced to get better control in the future.
    Original languageEnglish
    Title of host publicationUniversal Access in Human-Computer Interaction
    Subtitle of host publicationApplications and Services 6th International Conference, UAHCI 2011, Held as Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings
    EditorsConstantine Stephanidis
    Pages489-498
    Number of pages10
    Volume4
    ISBN (Electronic)9783642216572
    DOIs
    Publication statusPublished - 2011
    Event6th International Conference on Universal Access in Human-Computer Interaction - Orlando, United States
    Duration: 9 Jul 201114 Jul 2011
    http://www.hcii2011.org/

    Publication series

    NameLecture notes in computer science
    PublisherSpringer
    Volume6768
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference6th International Conference on Universal Access in Human-Computer Interaction
    Abbreviated titleUAHCI 2011
    CountryUnited States
    CityOrlando
    Period9/07/1114/07/11
    OtherHeld as Part of HCI International 2011
    Internet address

    Keywords

    • C-means clustering
    • Control signal
    • Cross validation
    • Handle reaction vectors
    • K-means clustering
    • Lower limb
    • Recognition rates
    • Fuzzy clustering
    • Support vector machines
    • Walking aids

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