Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks-Reference-Cited by-同舟云学术

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Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks

Published:2020-08 Issue: Volume: Page:
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Container-title:2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Zanghieri Marcello,Benatti Simone,Conti Francesco,Burrello Alessio,Benini Luca

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9066468/9072687/09073888.pdf?arnumber=9073888

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. sEMG-Driven Hand Dynamics Estimation With Incremental Online Learning on a Parallel Ultra-Low-Power Microcontroller;IEEE Transactions on Biomedical Circuits and Systems;2024-08

2. ViT-MDHGR: Cross-Day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding;IEEE Journal of Selected Topics in Signal Processing;2024-04

3. Advancements in Artificial Intelligence Circuits and Systems (AICAS);Electronics;2023-12-26

4. Online Unsupervised Arm Posture Adaptation for sEMG-based Gesture Recognition on a Parallel Ultra-Low-Power Microcontroller;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

5. An Adaptive Dynamic Mixing Model for sEMG Real-Time ICA on an Ultra-Low Power Processor;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

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