Feature grouping normalization method for cognitive state recognition

Abstract

The invention discloses a feature grouping normalization method for cognitive state recognition and relates to the feature normalization problem in the field of pattern recognition. The method includes the steps that firstly, feature data grouping is conducted; secondly, a normalization function is optionally selected, and parameters of normalization functions corresponding to all groups are calculated; thirdly, a grouping normalization function is constructed, the parameters of the normalization functions corresponding to all the groups are substituted into the functions of the groups, and normalization mapping relations of all the groups are obtained; fourthly, grouping normalization processing is conducted, each group uses the corresponding normalization function to conduct feature data conversion, and feature normalization is over. According to the feature normalization method, only the diversity problem of data distribution among features can be solved, and the problem of the large distribution difference of feature internal data cannot be solved. According to the grouping normalization method, the advantage of an overall feature normalization method is retained, meanwhile, the problem of the overlarge distribution scale in the feature data is solved, and the classification accuracy is improved. The feature grouping normalization method has strong robustness.

Description

technical field [0001] The invention relates to the feature normalization problem of pattern recognition, in particular to a feature grouping normalization method for cognitive state recognition. Background technique [0002] Cognitive state recognition refers to the computer's understanding of its internal psychological state by analyzing the external behavior characteristics of people, especially in the recognition and judgment of people's purpose and intention in human-computer interaction. Using pattern recognition technology to identify different cognitive states of people is a research hotspot developed in recent years. There are many researches on cognitive state identification methods based on magnetic resonance, brain waves and eye movements. The process of cognitive state recognition includes the following steps: feature extraction, feature normalization, classifier training, and pattern discrimination. Among them, feature extraction and normalization processing m...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to propose a feature grouping normalization method for cognitive state recognition in view of the fact that the current feature integral normalization method cannot solve the problem of internal distribution diversity of the extracted features in the cognitive state recognition process

The method of the present invention can not only solve the problem of distribution diversity among various features, but also solve the problem of excessive internal differences of features, and improve the recognition accuracy of cognitive states

Images