Single-source-domain adaptive cross-time-period brain grain recognition method

The invention discloses a single-source domain adaptive cross-time-period brain grain recognition method, which comprises the following steps of: processing data of a subject through data alignment, and constructing a cross-time-period brain grain recognition model by using a domain identifier confr...

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Bibliographic Details
Main Authors CHEN MEIRU, KONG WANZENG, LIU DONGJUN, MA DI, ZHOU FEIWEI, JIN XUANYU
Format Patent
LanguageChinese
English
Published 15.11.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:The invention discloses a single-source domain adaptive cross-time-period brain grain recognition method, which comprises the following steps of: processing data of a subject through data alignment, and constructing a cross-time-period brain grain recognition model by using a domain identifier confrontation module and a correlation domain adaptive module; under the condition that electroencephalogram data of only one time period serves as a source domain, electroencephalogram signals of different time periods can still be recognized, and the problems that in traditional brain grain recognition, the generalization ability of cross-time-period data is poor, and electroencephalogram mark data is insufficient are solved; meanwhile, a data alignment mode adopted by the cross-time-period brain grain recognition method does not need a tested label, transformation is directly carried out on original electroencephalogram data, the original electroencephalogram data is made to adapt to the changes, domain invariant fea
Bibliography:Application Number: CN202411144440