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Polygraph method based on skewness of multi-channel EEG signal

An EEG signal and skewness technology, which is applied in the field of polygraph EEG skewness detection, can solve the problems of affecting the test effect, reducing the sensitivity, and easily fatigued by the test subjects, so as to improve the accuracy of polygraph detection. Effect

Inactive Publication Date: 2019-09-03
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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Problems solved by technology

However, the current ERP-based lie detection method requires a large amount of data superposition, the experiment takes a long time, and the subjects are prone to fatigue. At the same time, it will also affect the test effect. The sensitivity of the

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  • Polygraph method based on skewness of multi-channel EEG signal
  • Polygraph method based on skewness of multi-channel EEG signal
  • Polygraph method based on skewness of multi-channel EEG signal

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Embodiment Construction

[0024] see figure 1 , the present invention provides a method for detecting polygraphs based on multi-conductor EEG signal skewness, comprising the following steps:

[0025] 1) Through multi-lead EEG electrodes, real-time extraction of the EEG signals of honest and lying subjects located in the frontal lobe, central area, and parietal lobe respectively, and the multi-lead EEG signals of the two types of subjects were respectively obtained. EEG signal and save;

[0026] 2) Select the EEG signals of each lead of the subject obtained in step 1) and perform filtering, segmentation, baseline correction, artifact removal, and superimposed average preprocessing operations in sequence to obtain the corresponding lying stimuli of each lead of the two types of subjects. EEG signals to form a data set;

[0027] 3) Calculate the skewness of each lead EEG data in the stimulus response data sets of the two types of subjects after the above-mentioned preprocessing respectively; the calcula...

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Abstract

The invention discloses a polygraph method based on skewness of a multi-channel EEG signal, which comprises the following steps: calculating the skewness of each lead EEG signal, and then performing statistical analysis of the difference between the honesty and the liars for the skewness of the multi-channel EEG signal, constructing a feature vector by using the skewness index of the electrode with difference, sending the feature vector to the machine learning algorithm for model training of machine learning, performing real time extraction on the EEG signal of the tester by the multi-lead EEGelectrode, obtaining the multi-lead EEG signal of the tester and saving the signal, performing respective pre-processing operation on each lead EEG signal, using a skewness calculation formula to calculate the skewness of each EEG data in a data set of the tester's stimulus response, and taking the skewness as input and sending the skewness to the trained classifier to obtain the result of the polygraph. The scheme is based on brain nerve signals, which greatly reduces the stimulation frequency required for testing, finally, after testing, the accuracy of lie detection is greatly improved.

Description

technical field [0001] The invention relates to the field of polygraph detection, in particular to a method for polygraph detection based on the skewness of multi-channel electroencephalogram signals. Background technique [0002] Lying is a common social and psychological phenomenon in human society. Lies have become a factor affecting social stability and unity, and pose a serious threat to the property and life safety of the people. Therefore, psychophysiologists and other related experts have been working hard to find effective lie detection methods. The effectiveness of lie detection has been confirmed in long-term and extensive application practice at home and abroad. First of all, polygraph technology has important application value for the detection of criminal investigation cases. In addition, lie recognition is also of great significance to the treatment of mental illness and mental disorders. In addition, the current international anti-terrorism situation is s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/0476A61B5/0478
CPCA61B5/164A61B5/291A61B5/369
Inventor 高军峰何章锦覃凯
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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