Forthcoming Articles

International Journal of Nanomanufacturing

International Journal of Nanomanufacturing (IJNM)

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International Journal of Nanomanufacturing (One paper in press)

Regular Issues

  • Research on lower limb action classification under different windows based on neural network   Order a copy of this article
    by Zhisheng Wang, Hongsheng Liu, Xianyu Meng, Guohua Cao 
    Abstract: In the evolving field of human-computer interaction technology for intelligent prosthetics, the utilisation of Electromyography (EMG) signals for lower limb action recognition has garnered significant interest. This study focuses on classifying lower limb actions by capturing EMG signals from two leg muscles across varying window sizes. The process involves collecting these signals through a specialised signal acquisition system, followed by data processing using MATLAB to create datasets of lower limb actions corresponding to different window durations. Subsequently, these datasets are analysed using a Backpropagation (BP) neural network, facilitating the determination of average resolution accuracy for lower limb actions across diverse window sizes. Notably, a truncated window size of 90, integrating four key eigenvalues, yields an accuracy rate of 89.6%in resolving lower limb actions.
    Keywords: lower limb action; signal acquisition system; MATLAB; BP neural network; prosthetics; EMG.
    DOI: 10.1504/IJNM.2025.10075137
     

 

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