On the Development of a Tool to Detect Pinocchio Effect Using Facial Heat Distribution

Thermography combined with experimental psychology and image processing has great potential in many applications including marketing, social media, and security. One of the challenges of adopting this tool is the large amount of data needed to get accurate results. Currently, an experimental psychologist manually detects and classifies each thermograph, resulting in time consumption and inefficiency that prevents large data analysis, leading to unreliable results. The Pinocchio effect refers to changes in nasal temperature when someone lies. This is a result of changes of blood flow in the area. This work develops a tool that helps detect and track this effect. The tool allows for large data to be collected and analyzed.