A Concealed Information Test System Based on Functional Brain Connectivity and Signal Entropy of Audio–Visual ERP

Author:

Chang WenwenORCID,Wang Hong,Lu Zhiguo,Liu Chong

Funder

National Natural Science Foundation of China

University Innovation Team of Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on ERP Decoding-based CIT Lie Detection Algorithm;2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE);2023-08-18

2. A survey on encoding and decoding technology of non-invasive brain-computer interface;Journal of Image and Graphics;2023

3. Concealed Information Detection Using EEG for Lie Recognition by ERP P300 in Response to Visual Stimuli: a Review;WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS;2022-09-09

4. EEG-based lie detection using ERP P300 in response to known and unknown faces: An overview;2022 26th International Conference on Circuits, Systems, Communications and Computers (CSCC);2022-07

5. P300 Characterization Through Granger Causal Connectivity in the Context of Brain-Computer Interface Technologies;Advances in Computational Intelligence;2021

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