Novel human gesture classification technique using bispectrum-based features extracted from variations of electromagnetic field under influence of gestures

O. G. Vyunitskiy, A. V. Totsky, K. O. Eguiazarian

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    In this paper, novel human gesture detection, recognition and classification technique using gesture interaction with high-frequency electromagnetic field is suggested and experimentally studied. Suggested strategy is based on extraction of novel class of bispectrum-based information features from high-frequency electromagnetic field perturbed by human gestures. It is shown that phase bispectrum (biphase) contains information about the shape of radio frequency signal envelope resulted by signal disturbance with human gesture. Two novel kinds of classification features are proposed: first, sequence of limited biphase samples contained only in the radial slice in bispectral plane and, second, biphase signature contained array of biphase samples located within the main triangular bispectral domain. Performance of the bispectrum-based information features is studied experimentally for solving human gesture classification problem. Experimental results obtained by developed hardware and designed software are represented and discussed. It has been shown that proposed technique is invariant to random signal delays and variations of signal magnitude commonly observed in indoor multi-path electromagnetic field interference environment. It has been demonstrated by confusion matrix computations that human gesture classification performance evaluated for biphase values contained in the radial slice is worsen as compared to biphase signatures.

    Original languageEnglish
    Pages (from-to)1161-1172
    Number of pages12
    JournalTelecommunications and Radio Engineering
    Volume76
    Issue number13
    DOIs
    Publication statusPublished - 2017
    Publication typeA1 Journal article-refereed

    Keywords

    • Biphase
    • Bispectral estimate
    • Classification features
    • Envelope of high-frequency radio signal
    • Human gestures recognition
    • Phase bispectrum
    • Radio signal
    • Wireless vision

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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