A Semi-Supervised Progressive Learning Algorithm for Brain–Computer Interface

A Semi-Supervised Progressive Learning Algorithm for Brain–Computer Interface

Brain-computer interface (BCI) usually suffers from the problem of low recognition accuracy and large calibration time, especially when identifying motor imagery tasks for subjects with indistinct features and classifying fine grained motion control tasks by electroencephalogram (EEG)-electromyogram...

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Bibliographic Details
Main Authors: Yuxuan Wei, Jie Li, Hongfei Ji, Lingjing Jin, Lingyu Liu, Zhongfei Bai, Chen Ye
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
EEG classification
EEG-EMG fusion
progressive learning
semi-supervised learning
brain computer interface
Online Access:https://ieeexplore.ieee.org/document/9832942/

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https://ieeexplore.ieee.org/document/9832942/

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