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Keywords: Brain–computer interface
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Journal Articles
Cross-subject motor imagery classification via transfer Riemannian space-based sparse coding
Available to Purchase
International Journal of Intelligent Computing and Cybernetics (2025) 18 (3): 537–562.
Published: 25 August 2025
...Yuru Yang; Tian-Jian Luo Purpose Motor imagery brain–computer interfaces (MI-BCIs) play a significant role in intelligent control systems. Given the advantages of non-invasive measures represented by electroencephalography (EEG) and magnetoencephalography (MEG), MI classification based on EEG...
Journal Articles
Motor imagery-based EEG signals classification by combining temporal and spatial deep characteristics
Available to Purchase
International Journal of Intelligent Computing and Cybernetics (2020) 13 (4): 437–453.
Published: 30 September 2020
...Li Xiaoling Purpose In order to improve the weak recognition accuracy and robustness of the classification algorithm for brain-computer interface (BCI), this paper proposed a novel classification algorithm for motor imagery based on temporal and spatial characteristics extracted by using...
Journal Articles
A novel multi-dimensional features fusion algorithm for the EEG signal recognition of brain's sensorimotor region activated tasks
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International Journal of Intelligent Computing and Cybernetics (2020) 13 (2): 239–260.
Published: 25 June 2020
... Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Brain's sensorimotor region activated tasks Brain-computer interface Morlet wavelet 3DCNNs model Bi-GRUs model Figure 2 Experimental flow of AO data set (Luo et al., 2018a,b,c...
