Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network

The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mitigate the concurrent interference of electrode shift and loosening, thereby improving the practicality of MPR-based gestural interfaces towards intelligent control. A Siamese auto-encoder network (SAE...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on neural systems and rehabilitation engineering Ročník 32; s. 3388 - 3398
Hlavní autori:	Gao, Ge, Zhang, Xu, Chen, Xiang, Chen, Zhang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 2024
Predmet:	Adult Algorithms Data collection electrode loosening electrode shift Electrodes Electromyography Electromyography - methods Feature extraction Female Gestures Humans Interference Male Myoelectric pattern recognition Neural Networks, Computer Pattern Recognition, Automated - methods Reproducibility of Results Robustness Siamese autoencoder network Support Vector Machine surface electromyography Testing Young Adult
ISSN:	1534-4320, 1558-0210, 1558-0210
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!