Accurate human motion classification is required in different fields, which currently mainly relies on WiFi and millimeter waves. Meanwhile, the Ultra-Wideband (UWB) signal offers high spatiotemporal resolution and robust interference resistance, making it suitable for distinguishing limb motions from other body movements, such as body tremors, heartbeat, and respiration. This paper proposes a simple but effective method for arm motion classification and recognition using an Impulse Radio UWB radar. We simplify the motion feature data by extracting the Peak Amplitude Curve (PAC) from the obtained time-frequency spectrum, resulting in reduced dimensionality and sample size. By employing traditional machine learning models instead of complex deep learning models, we achieve a recognition accuracy of up to 94.7%. To demonstrate the reliability of the model, we conducted ten-fold cross-validation, which yielded an average recognition accuracy of 93%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Peak Amplitude Curve Based Arm Motion Recognition Using IR-UWB Radar


    Contributors:
    Lin, Guiping (author) / Men, Jing (author) / Lin, Enmin (author) / Zhuang, Zhihao (author) / Zhang, Tingting (author)


    Publication date :

    2023-10-10


    Size :

    2433309 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    High-precision FBG demodulation using amplitude ratio curve with sharp peak

    Zhang, Xuezhi / Sun, Fang / Jiang, Junfeng et al. | British Library Online Contents | 2019


    Polarization Radar Target Recognition Based on Optimal Curve Fitting

    Tao, H. / Yin, J. / Zhao, C. et al. | British Library Conference Proceedings | 1998


    Amplitude/Timing Jitter and Peak-to-Peak Variation Optimal Rate Multipliers

    Yiannopoulos, K. / Thomas, S. / Azana, J. | British Library Online Contents | 2008



    RADAR DEVICE AND PEAK PROCESSING METHOD

    AOKI SHINYA | European Patent Office | 2017

    Free access