2023
DOI: 10.1109/tnsre.2022.3228216
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Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces

Abstract: For practical motor imagery (MI) brain-computer interface (BCI) applications, generating a reliable model for a target subject with few MI trials is important since the data collection process is labour-intensive and expensive. In this paper, we address this issue by proposing a few-shot learning method called temporal episode relation learning (TERL). TERL models MI with only limited trials from the target subject by the ability to compare MI trials through episode-based training. It can be directly applied t… Show more

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Cited by 8 publications
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References 44 publications
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