A Decoding Model of Upper Limb Movement Intention Based on Data Augmentation

With the aging of the population, the application of brain-computer interfaces(BCIs) in the neural decoding of upper limb motion direction is becoming more extensive. However, how to improve the recognition accuracy of neural decoding is one of the key problems given limited training samples. In thi...

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Bibliographic Details

Published in:	Chinese Automation Congress (Online) pp. 4257 - 4260
Main Authors:	Ke, Xi, Bi, Luzheng, Fei, Weijie, Feleke, Aberham Genetu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 25.11.2022
Subjects:	Aging Analytical models Automation BCI Data Augmentation Data models electroencephalogram(EEG) generative adversarial networks(GANs) Sociology Training Training data
ISSN:	2688-0938
Online Access:	Get full text
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