Lie detection analysis system based on cognitive load enhancement

A technology of cognitive load and analysis system, applied in the field of cognitive neurology, can solve problems such as poor test effect and decreased detection accuracy, and achieve the effect of avoiding the influence of anti-polygraph and high accuracy

Pending Publication Date: 2020-09-04
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional EEG polygraph technology has poor test results in the real environment. This is because the EEG signal is relatively weak. If the suspect’s cognitive load is small, it is difficult to induce enough active brain nerves under the stimulus of the event. activity, leading to a drop in detection accuracy

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  • Lie detection analysis system based on cognitive load enhancement
  • Lie detection analysis system based on cognitive load enhancement
  • Lie detection analysis system based on cognitive load enhancement

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Experimental program
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Embodiment

[0078] The present invention uses 17 cases of effective data collected by the CL-GKT-ERP paradigm to verify and analyze the system. Finally, the correct rate analysis is performed using the method of cross-validation. Here is the selection method for cross-validation:

[0079] First, create two groups of 5 random numbers with uniform distribution. The range of random numbers is 1 to 17 (17 is the total sample number). Use the 5 random numbers in the first group to select 5 test data from the lying group, and the others 12 data are set as training data. Then use the 5 random numbers of the second group to select 5 test data from the honest group, and the other 17-5 data are set as training data. The data in the test set is about 30%, and the data in the training set is about 70%. The SVM model was built using the training set data of 12 lying groups and 12 honest groups, and the test set data of 5 lying groups and 5 honest groups were used for model verification, and the acc...

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Abstract

The invention discloses a lie detection analysis system based on cognitive load enhancement. A method comprises the steps of adopting a crime plot test CL-GKT-ERP paradigm of cognitive load to test atestee; according to marks of different stimuli of the crime plot test CL-GKT-ERP paradigm of the cognitive load in a brain wave signal, performing ERP signal extraction on the brain wave signal by adopting an ERP method; carrying out unified normalization processing on maximum values of two groups of ERP signals of target stimulus and indifferent stimulus of parietal region and parietal back region channels in a time period of 300 ms to 650 ms to obtain lie target feature vectors; and performing distribution analysis on the lie target feature vectors, and performing lie judgment according toan amplitude distribution rule of target stimulus features. The lie detection analysis is performed by using the cognitive load enhancement based novel lie detection paradigm and the normalized ERP identification method, so that the influence of reverse lie detection can be effectively avoided, and the accuracy is higher.

Description

technical field [0001] The invention relates to the field of cognitive neurotechnology, and in particular to a polygraph analysis system based on cognitive load enhancement. Background technique [0002] Polygraph technology plays a special role in criminal investigation and assisting in solving cases. Compared with indirect methods such as heartbeat and blood pressure, EEG polygraph technology can perform direct cognitive identification by detecting the suspect's brain neural activity. The information is direct, not easily affected by emotions, and has high security. However, the traditional EEG polygraph technology has poor test results in the real environment. This is because the EEG signal is relatively weak. If the suspect’s cognitive load is small, it is difficult to induce enough active brain nerves under the stimulus of the event. activity, leading to a decrease in detection accuracy. Therefore, designing a new test paradigm that can enhance the suspect's cognitive...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): A61B5/0476A61B5/16A61B5/00
CPCA61B5/164A61B5/725A61B5/7203A61B5/7267
Inventor闫佳庆李占英李小俚
OwnerNORTH CHINA UNIVERSITY OF TECHNOLOGY