N400 evoked potential lie detection method based on improved extreme learning machine

Abstract

The invention provides an N400 evoked potential lie detection method based on an improved extreme learning machine; random parameters of the extreme learning machine are optimized on the basis of an artificial immune algorithm, and the electroencephalogram lie detection method based on an N400 evoked potential and the improved extreme learning machine is proposed; by virtue of the improved extreme learning machine, classification recognition rates of crime group subjects and control group subjects to detection stimulation and unassociated stimulation are calculated, and the classification recognition rates of the two groups of subjects are calculated and analyzed, so that a threshold parameter for distinguishing whether a subject lies or not is found out; and detection stimulation and unassociated stimulation time domain and frequency domain characteristics of 40 channel N400 induced electroencephalogram signals are extracted, so that the extracted electroencephalogram signal characteristics are more comprehensive; therefore, shortcomings in the prior art which conducts lie detection and judgment on the basis of a few of channels and by taking induced potential waveform geometric properties as characteristic parameter are overcome; and the lie detection method disclosed by the invention has the advantage that a stable lie identification right rate is effectively guaranteed.

Description

technical field [0001] The invention belongs to the combined application of the field of cognitive neuroscience and the field of information technology, and relates to an event-related potential N400 lie detection method, in particular to a N400 evoked potential lie detection method based on an improved extreme learning machine. Background technique [0002] As a psychological phenomenon, lying does not only appear in today's society. From the historical files we know so far, we can see that lying existed in the early days of human society. Although many lies are well-intentioned, there are also many lies that endanger national security, social security, and fairness and justice. For example, in espionage crimes, duty crimes and criminal interrogations, criminals deliberately lie in order to conceal crimes and evade legal sanctions. During the trial of a case, lies will have a huge impact on the trial of the case and the determination of the crime. Therefore, how to identi...

AI Technical Summary

Problems solved by technology

The ELM algorithm is a simple and effective learning algorithm based on a single hidden layer feed-forward neural network. It has the advantages of fast running speed, high precision, and simple parameter adjustment. However, there are still some shortcomings in practical applications. Due to the random initialization input of ELM Layer weights and hidden layer deviations lead to unstable classification recognition rates

Images