A method and device for online user state recognition based on eye movement data

Abstract

A method and device for identifying online user states based on eye movement data, the method comprising the following steps: collecting eye movement data of online users in the process of viewing webpages, and preprocessing the eye movement data to obtain preprocessed The eye movement data after; Carry out feature extraction to the eye movement data after the pretreatment, obtain a plurality of eye movement characteristic parameters; Input the described plurality of eye movement characteristic parameters of the online user into a preset state classifier The comparison is carried out in order to identify the current working state of the online user as a search state or a browsing state. The invention recognizes two working states of online users searching and browsing, uses active perception technology to extract two kinds of eye movement features, and adopts a classification method based on support vector machines at the same time, with fast learning speed, high classification accuracy rate, and high accuracy. recognition efficiency.

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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