User identity attribute detection method based on human-computer interaction behavior characteristics

Abstract

The invention discloses a user identity attribute detection method based on man-machine interaction behavior characteristics. The man-machine interaction behavior characteristics are extracted through analysis of man-machine interaction behaviors generated when man-machine interaction equipment, such as a mouse, a keyboard and a touch screen, operates in an interaction process between a user and an intelligent computer system, a user identity attribute template is established based on the man-machine interaction behavior characteristics, and identity attributes comprising genders, ages, races and the like of the user are detected and distinguished. The user identity attribute detection method has the advantages that the man-machine interaction behavior characteristics fill up blanks in analysis of identity attributes of operators in the intelligent computer system, and a brand new thought is provided for information perception analysis of users of computers and mobile networks. In addition, the user can be continuously analyzed through the method in the interaction process between the user and the intelligent computer system, and normal behaviors of the user cannot be disturbed.

Description

technical field [0001] The invention relates to a computer and mobile network user information perception analysis technology, in particular to an identity attribute detection method based on the human-computer interaction behavior characteristics of computer and smart phone users. Background technique [0002] With the advancement of social informatization and networking, the perception and analysis of user information in computers and mobile networks has become more and more important. On the one hand, in online virtualized economic activities such as e-commerce and online banking, merchants are eager to understand customers as fully as possible so as to provide targeted goods or services to improve the success rate of commercial activities; on the other hand, computer networks and Mobile network information crimes are becoming more and more serious. Extracting and analyzing electronic evidence existing in computing network systems to determine the operator's gender, age, ...

AI Technical Summary

Problems solved by technology

[0003] In recent years, some researchers have proposed to detect users' information or identity attributes based on biometric features. They detect users' gender, age, race and other information based on physiological characteristics such as faces, fingerprints, irises, and palm prints. However, such methods require Use specific biometric information collection devices, such as cameras, fingerprint sensors, etc., which are not suitable for existing computing network environments

At present, there is no technology or method for analyzing and detecting user identity attributes that can be applied on a large scale in the existing computing network environment.

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