Characteristic normalization method and system for recognition of human cognitive modes
一种模式识别、归一化的技术，应用在人类认知模式识别领域，能够解决识别准确率低等问题，达到强鲁棒性、提高分类正确率、减少内部分布尺度过大的效果
Active Publication Date: 2014-12-10
BEIJING UNIV OF TECH
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[0006] In order to solve the technical problem of low recognition accuracy caused by the existing overall feature normalization method, the present invention provides a feature normalization method and system for human cognitive pattern recognition with high classification accuracy and strong robustness
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[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0034] figure 1 Schematic diagrams of feature normalization methods commonly used in the prior art are shown.
[0035] The purpose of feature normalization is to convert various features into a common value range, so as to avoid the problem of excessive weight of large-scale features during classifier training. After normalization, the original order of magnitude is smaller However, features with large differences can play a corresponding role in the discrimi...
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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 belongs to the technical field of human cognitive pattern recognition, in particular to a feature normalization method and system for human cognitive pattern recognition. Background technique [0002] Cognitive pattern recognition refers to the computer's understanding of its internal psychological patterns by analyzing the external behavioral characteristics of people, especially in the recognition and judgment of human purposes and intentions in human-computer interaction. Using pattern recognition technology to identify different cognitive patterns of people is a research hotspot developed in recent years. There are many researches on cognitive pattern recognition methods based on magnetic resonance, brain waves and eye movements. The process of cognitive pattern recognition includes the following steps: feature extraction, feature normalization, classifier training, and pattern discrimination. [0003] In cognitive pattern recognitio...
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IPC IPC(8): G06K9/62G06V10/32
CPCG06V40/193G06V10/32A61B5/165A61B5/7264A61B5/163G06F2218/08G06F18/213G06F18/2411
Inventor 栗觅吕胜富周宇钟宁
Owner BEIJING UNIV OF TECH