Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning

Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning

Recognition of motor imagery intention is one of the hot current research focuses of brain-computer interface (BCI) studies. It can help patients with physical dyskinesia to convey their movement intentions. In recent years, breakthroughs have been made in the research on recognition of motor imager...

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Bibliographic Details
Main Authors: Jiacan Xu, Hao Zheng, Jianhui Wang, Donglin Li, Xiaoke Fang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
brain-computer interface (BCI)
electroencephalography (EEG)
multi-view learning
deep neural network
parametric t-distributed stochastic neighbor embedding (p.t-SNE)
Online Access:https://www.mdpi.com/1424-8220/20/12/3496

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