Similarity Function for One-Shot Learning to Enhance the Flexibility of Myoelectric Interfaces

Similarity Function for One-Shot Learning to Enhance the Flexibility of Myoelectric Interfaces

<inline-formula> <tex-math notation="LaTeX">$\textit {Objective:}$ </tex-math></inline-formula> This study aims to develop a flexible myoelectric pattern recognition (MPR) method based on one-shot learning, which enables convenient switching across different usage s...

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Detaylı Bibliyografya
Asıl Yazarlar: Xiang Wang, Xu Zhang, Xiang Chen, Xun Chen, Zhao Lv, Zhen Liang
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: IEEE 2023-01-01
Seri Bilgileri:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Konular:
Myoelectric control
electromyogram (EMG)
one-shot learning
cross-scenario
flexibility
Online Erişim:https://ieeexplore.ieee.org/document/10061471/

Internet

https://ieeexplore.ieee.org/document/10061471/

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