Aiming at the defects of the low recognition rate of lie detection, this paper proposes a new method of N400 evoked potential polygraphy based on AIA-ELM, which integrates the artificial immune algorithm and the extreme learning machine. 24 subjects are divided into a crime group and a control group respectively to extract the multi-channel peak value, average amplitude and median frequency of N400, and all of them just constitute the eigenvectors. AIA-ELM algorithm is applied to classify the probe stimulus and the irrelevant stimulus, and the recognition rate of crime group is 97.60%.Experimental results show that this method can distinguish lies effectively and provide a new reference for lie detection based on N400.

N400；extreme learning machine；artificial immune algorithm；lie detection