Lie detection method based on sight tracking

A technology of eye tracking and video, applied in diagnostic recording/measurement, medical science, psychological devices, etc., to achieve the effect of reducing polygraph cost, multiple application scenarios, and low equipment cost

Pending Publication Date: 2020-01-07
SOUTHEAST UNIV
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But so far, there are almost no inventions that use machine learning and image processing technology to process the line of sight to ac

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  • Lie detection method based on sight tracking
  • Lie detection method based on sight tracking
  • Lie detection method based on sight tracking

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[0044] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0045] like figure 1 As shown, the present invention proposes a polygraph method based on gaze tracking, the method comprising the following steps:

[0046] (1) Input the original video, use the SeetaFace face detection engine to detect the face in each frame of image, obtain the area of ​​interest of each frame of the face, and save the position output of the center of the eyes at the same time;

[0047] (2) use the gradient algorithm to locate the pupil center, obtain the pupil position of both eyes, save the pupil position of each frame, and calculate the parameters of the eye movement trajectory corresponding to the pupil position data of each frame;

[0048] (3) utilize the binocular center position data in step (1) and the pupil position data of each frame in step (2) to calculate the parameter of eye movement trajectory, comprehensively o...

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Abstract

The invention discloses a lie detection method based on sight tracking, which mainly utilizes a face detection technology and a pupil center positioning algorithm to track pupils of human eyes and eyemovement tracks of the pupils, and predicts whether the pupils lie or not according to the eye movement tracks of videos. The method comprises the following steps: firstly, carrying out face region detection on each frame of image in a video, and storing facial features to obtain center position parameters of two eyes; carrying out pupil center positioning and coordinate acquisition, and storingthe pupil position of each frame; then, calculating parameters of an eye movement track by using pupil position data of each frame, and obtaining feature vectors of the video by calculating the amplitude and angle parameters of pupil displacement; preprocessing the feature vector data set, and performing noise reduction and normalization processing; inputting the processed data into an SVM (Support Vector Machine), and training a binary classification prediction model capable of judging whether a user lies or not; and finally, obtaining a prediction result by loading the trained prediction model.

Description

technical field [0001] The invention belongs to the technical fields of computer vision, machine learning and image processing, and in particular relates to a lie detection method based on gaze tracking. Background technique [0002] Eye tracking technology is an important part of various perception systems. It has a wide range of applications in many fields such as cognitive science, psychology, human-computer interaction, and medical research. We can rely on the analysis of visual senses to obtain Rich visual information. With the development of computer technology, pattern recognition and image recognition algorithms, the development of optical sensor technology, and the improvement of computer computing power, eye tracking technology has also developed rapidly in recent years. At present, eye tracking systems are mainly divided into wearable eye tracking systems and desktop eye tracking systems. The present invention proposes a desktop eye-tracking system that only nee...

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Application Information

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IPC IPC(8): G06K9/62G06K9/00A61B5/16
CPCA61B5/164G06V40/171G06V40/161G06V20/41G06F18/2411
Inventor 夏思宇吴昊聪郝冠捷王川任思宇
Owner SOUTHEAST UNIV
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