公开(公告)号：US20170220905A1

公开(公告)日：2017-08-03

申请号：US15309784

申请日：2014-09-05

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Mi LI ,  Shengfu LU ,  Yu ZHOU ,  Ning ZHONG

IPC: G06K9/62 ,  G06K9/00 ,  G06K9/42

CPC classification number: G06K9/6269 ,  G06K9/0061 ,  G06K9/42 ,  G06K9/6232

Abstract: A normalization method in grouped feature data for recognizing human cognitive states, comprising: (1) divide feature data into groups; (2) selecting normalization functions and estimating grouping parameters; (3) building grouped normalization functions, substitute normalization function parameters of each group into its normalization function, the normalization mapping relationship of each group is get; (4) grouped normalization processing, each group uses corresponding normalization function to transfer the feature data to finish feature normalization. The entire feature normalization method can only solve the divers data distribution problem between feature and feature, it can not solve the problem of the large difference of inner data distribution, the grouped normalization methods provided in the invention reserve the advantages of entire feature normalization method, while at the same time, the large inner distribution of feature data is reduced, the accuracy of classification is improved, the grouped normalization method in the invention have strong robustness.