陕西师范大学学报（自然科学版）2017，Vol.45Issue(5)：12-16,5.DOI:10.15983/j.cnki.jsnu.2017.05.153
基于改进超限学习机的N400诱发电位测谎方法
Lie detection method of N400 evoked potential based on improved extreme learning machine
摘要
Abstract
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.关键词
N400/超限学习机/人工免疫算法/测谎Key words
N400/extreme learning machine/artificial immune algorithm/lie detection分类
信息技术与安全科学引用本文复制引用
艾玲梅,余龙..基于改进超限学习机的N400诱发电位测谎方法[J].陕西师范大学学报（自然科学版）,2017,45(5):12-16,5.基金项目
国家自然科学基金(61672021) （61672021）
陕西省自然科学基金(2017JM6108) （2017JM6108）
