2020
DOI: 10.3389/fnhum.2020.00296
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Abstract: The brain-computer interface (BCI) is a system that is designed to provide communication channels to anyone through a computer. Initially, it was suggested to help the disabled, but actually had been proposed a wider range of applications. However, the cross-subject recognition in BCI systems is difficult to break apart from the individual specific characteristics, unsteady characteristics, and environmental specific characteristics, which also makes it difficult to develop highly reliable and highly stable BC… Show more

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Cited by 8 publications
(3 citation statements)
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References 45 publications
(49 reference statements)
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“…The high reliability and robustness of audiovisual BCI should be furtherly considered for different subjects, different times, and different scenarios (Liu et al, 2020). According to the results in Table 4, the total classification accuracy of our paradigm is greatly affected by the first stage, which still needs to be improved.…”
Section: Discussionmentioning
confidence: 98%
“…The high reliability and robustness of audiovisual BCI should be furtherly considered for different subjects, different times, and different scenarios (Liu et al, 2020). According to the results in Table 4, the total classification accuracy of our paradigm is greatly affected by the first stage, which still needs to be improved.…”
Section: Discussionmentioning
confidence: 98%
“…The research issue under study is usually referred to as the cross-subject problem (Liu et al, 2020 ) and addressed in the framework of the TL approach (Pan and Yang, 2009 ).…”
Section: Discussionmentioning
confidence: 99%
“…We believe that future cBCI research should have more hybridization and collaboration in the following aspects: (1) hybrid tasks: the current cBCI tasks are usually single tasks, which are basically enhancement tasks for motion control or visual recognition (Liu et al, 2020). However, cBCI systems may perform better in hybrid high-load tasks and have greater advantages of collaboration; (2) Joint task allocation strategies and data-fusing methods: more tasks lead to inferior performance under a standalone task allocation scheme.…”
Section: Conclusion and Discussionmentioning
confidence: 99%