On-line user state recognition method and device based on eye movement data

Abstract

Disclosed is an on-line user state recognition method and device based on eye movement data. The method includes the following steps that eye movement data of an on-line user when the user watches webpages are collected and preprocessed to obtain the preprocessed eye movement data; feature extraction is performed on the preprocessed eye movement data to obtain a plurality of eye movement feature parameters; the plurality of eye movement feature parameters of the on-line user are input to a preset state classifier to be compared so that a current working state of the on-line user is recognized as a searching state or a browsing state. According to the on-line user state recognition method and device based on the eye movement data, recognition is performed in allusion to two working states such as the searching state and the browsing state of the on-line user, two types of eye movement features are extracted by means of an active sensing technology, meanwhile, a classification method based on a support vector machine is applied, and the learning speed, the classification accuracy and the recognition efficiency are high.

Description

technical field [0001] The invention relates to the technical field of pattern recognition human-computer interaction, in particular to a method and device for identifying user states on the Internet based on eye movement data. Background technique [0002] At present, computer networks have become an indispensable platform for people to work, study, and live in various aspects, and the research on computer network intelligence has become the focus. Web intelligence, as computer network intelligence, is the research on the method and application of realizing intelligence in the Web environment, and it is the combination of artificial intelligence and computer network. Web intelligence includes two aspects: one is human-computer interaction intelligence based on web pages, and the other is information service intelligence. As an important human-machine interface for human-network interaction, web pages can only passively accept user information requests through keyboards, mi...

AI Technical Summary

Problems solved by technology

As an important human-machine interface for human-network interaction, web pages can only passively accept user information requests through keyboards, mice, and touch screens, so as to respond and provide information services.

This passive perception technology has been increasingly unable to meet people's needs for machine intelligence.

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