Research on Lie Detection Technology Based on Neurophysiological and Behavioral Signal Decoding
Year: 2025
Type: article
Abstract: With the advancement of technology, the application of physiological parameters in lie detection technology has gradually become a hot research topic. This paper explores the latest developments in this field from two aspects: On the one hand, neurophysiological signals (such as EEG, fMRI, fNIRS) reveal the changes in brain activity during the lie detection process, helping us better understand the neural mechanisms behind lies. On the other hand, behavioral physiological signals (such as heart rate, respiration rate, eye movements, micro-expressions) capture subtle changes in emotions and stress through monitoring external physiological responses. Especially in the area of multimodal signal fusion, combining data from different physiological signals can significantly improve the accuracy and reliability of lie detection. The paper also looks forward to the future prospects of the technology, emphasizing the immense potential of artificial intelligence in the field of lie detection, and anticipates paving the way for the intelligentization and precision of lie detection technology.
Author: Changzheng Chen
Institution: Hefei University of Technology
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408951115