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Title:
BRAIN-COMPUTER INFORMATION FUSION CLASSIFICATION METHOD AND SYSTEM FOR SHARED SUBSPACE LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/173804
Kind Code:
A1
Abstract:
The present invention relates to the technical field of brain-computer interface technology applications, and disclosed is a brain-computer information fusion classification method and system for shared subspace learning. The brain-computer information fusion classification method comprises a training stage and a reasoning stage. In the training stage, paired images and brain response data are utilized, shared subspace model parameters of the images and brain responses are optimized by means of a contrastive learning policy of positive/negative sample sampling, and an image classifier is trained; and in the reasoning stage, image features are extracted for classification, and an application target of the whole brain-computer information fusion classification system is achieved. The brain-computer information fusion classification system for shared subspace learning of the present invention can train a shared subspace in an end-to-end mode, efficient migration of brain cognitive information is achieved, and the performance of an image classification task in a complex open scenario is improved; by means of an application that "the brain is not in a loop", the efficiency and the stability in the practical application are improved, and the present invention has a wide application prospect under a new normal form of brain-computer information cooperative work.

Inventors:
LIANG JIMIN (CN)
GUO KAITAI (CN)
ZHENG YANG (CN)
YAN JIANPU (CN)
HU HAIHONG (CN)
REN SHENGHAN (CN)
WANG ZIYU (CN)
Application Number:
PCT/CN2022/134523
Publication Date:
September 21, 2023
Filing Date:
November 26, 2022
Export Citation:
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Assignee:
UNIV XIDIAN (CN)
International Classes:
G06N3/08
Foreign References:
CN114742092A2022-07-12
CN113869369A2021-12-31
CN112668627A2021-04-16
CN113887559A2022-01-04
US20110080373A12011-04-07
Attorney, Agent or Firm:
XI'AN CYDA INTELLECTUAL PROPERTY AGENCY (CN)
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