Lie judgment method based on eye movement technology

Abstract

The invention provides a lie judgment method based on an eye movement technology. The lie judgment method is characterized by comprising the following steps of: step S1, collecting the eye movement data of a subject; S2, preprocessing the eye movement data; S3, carrying out equalization processing; S4, carrying out row normalization processing; S5, performing Pearson correlation analysis on eye movement data evaluation indexes, and screening out a normalized average pupil diameter and normalized average fixation duration with the maximum correlation as influence indexes; S6, establishing a multiple regression model; S7, collecting the eye movement data of a to-be-tested person, calculating the normalized average pupil diameter and the normalized average fixation duration of the to-be-tested person, and inputting the normalized average pupil diameter and the normalized average fixation duration into the multiple regression model; and S8, outputting the evaluation value of a lie to be measured. According to the lie judgment method, the multiple regression model is constructed by using the eye movement technology, the eye movement data of the to-be-tested person is collected for lie judgment, and the lie judgment method has the advantages of being simple in operation, high in measurement efficiency, high in objectivity and the like.

Description

technical field [0001] The invention relates to a method for judging lies based on eye movement technology. Background technique [0002] Eye movement technology is based on the basic goal of recording eye movement trajectories, and on this basis extracts eye movement data of real-time eye status, such as gaze time, pupil diameter and other eye movement data, so as to analyze the true inner activity state of the individual. Eye movement technology has experienced the evolution of various methods such as observation method, after image method, mechanical recording method, optical recording method, etc. Now it is mainly to use eye tracker to collect eye movement data in real time. With the development of science and technology, eye movement The continuous development of moving instruments in the direction of more accurate evaluation indicators and higher sampling rates has greatly promoted the application of eye movement technology in psychology and related disciplines. The s...

AI Technical Summary

Problems solved by technology

This multi-channel evaluation technology has high accuracy, but the operation is complicated

Both methods lack the collection and utilization of eye movement data

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