To improve the classification accuracy of gesture recognition based on sEMG signals, an approach for applying continuous wavelet transform (CWT) and AlexNet ...
Dec 27, 2021 · Firstly, continuous wavelet transform is exploited to extract time-frequency domain features and create scalograms from the sEMG signals. Then, ...
Based on the principle and feature analysis of gesture-based sEMG signals, the CWT-AlexNet model is set up for gesture recognition. Firstly, continuous wavelet ...
An Approach for sEMG-based Gesture Recognition Using Continuous Wavelet Transform and AlexNet Convolutional Neural Network · No full-text available · Citations (3) ...
首先，利用连续小波变换提取表面肌电信号的时频域特征并生成尺度图;然后，将二维时频图像作为特征图像馈送到AlexNet网络，实现对不同手势的分类。采用Rami Khushaba肌电 ...
Apr 25, 2023 · This paper proposes an improved gesture recognition method. The method first extracts the time-frequency spectrogram of surface electromyography (sEMG) using ...
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Oct 22, 2024 · It adopts continuous wavelet transform to obtain time-frequency representations of sEMG signals, uses attention mechanisms to combine local and ...
To obtain excellent accuracy in two sEMG datasets, this research establishes an algorithmic based on Continuous Wavelet Transform (CWT) and CNN-VGG16 deep ...
Human intention recognition based on sEMG signals mainly includes two major issues: feature extraction and classifier design. Commonly used sEMG signal features ...
Missing: Approach Transform
In this study, combined with the sEMG sensor, a novel dynamic hand gesture recognition approach is proposed for effective and accurate dynamic gesture ...
Missing: AlexNet | Show results with:AlexNet