Vision-Transformer_EMG

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Vision-Transformer_EMG

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Vision Transformer-Based Hand Gesture Recognition with HD-sEMG Signals

Vision-Transformer_EMG 최신버젼 다운로드

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<h2 style="text-align:center;">Vision Transformer-Based Hand Gesture Recognition with HD-sEMG Signals</h2>

* This is the official PyTorch code for a **Vision Transformer (ViT)** that is designed for gesture recognition with 3D High-Density sEMG (HD-sEMG) signals. 
* For a detailed explanation please refer to one of the following papers or send an email to montazerin97@gmail.com:

<li> Montazerin, M., Rahimian, E., Naderkhani, F. et al. Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals. Sci Rep 13, 11000 (2023). <a href="https://www.nature.com/articles/s41598-023-36490-w">Link</a> </li>

<li> M. Montazerin, E. Rahimian, F. Naderkhani, S. F. Atashzar, H. Alinejad-Rokny and A. Mohammadi, "HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5. <a href="https://ieeexplore.ieee.org/abstract/document/10096192">Link</a> </li>

<li> M. Montazerin, S. Zabihi, E. Rahimian, A. Mohammadi and F. Naderkhani, "ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals," 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 5115-5119. <a href="https://ieeexplore.ieee.org/abstract/document/9871489">Link</a> </li>
</ol>

Vision-Transformer_EMG

Vision-Transformer_EMG 최신버젼 다운로드

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