Case Study: An Image-Based Lie Detector

Being able to use a passive lie detector during interviews would greatly assist UK security agencies. This project set out to analyse visual and thermal images to find out whether such a system would provide accurate results.

Aim

To develop a non-invasive lie detector based on video and thermal images for border control applications. 

Client, Funding

EPSRC, UK Border Agency, QinetiQ (project in partnership with Department of Computer Science, Aberystwyth University)

Project

The aim of this project to develop a lie detector during an interview scenario based on the analysis of human facial expressions, eye movement and micro facial expressions. Both visual cues (based on facial images through video) thermal cues (based on images from thermal cameras) combined with psychological analysis provide clues where a person may not be telling the truth.

Results

This is ongoing work with promising initial results.