Lie detection based on human autonmic nervous system analysis though real-time eye image stream

Abstract

Response of the autonomic nervous system can be assessed by quantifying the dilation of the pupil of a human placed under suitable luminous conditions. When the intensity of the surrounding light is low, human’s pupil dilates to capture a maximum number of photons. At the same time dilation is affected by Human Autonomic nervous System response. The aim of this paper is to assess the effects of stress on pupil through Autonomic Nervous System that an Individual experiences, with a view to apply it in a practical manner for detecting a lie during the course of interrogation. The paper presents two point algorithm devised specifically for pupil detection under Infrared rays at higher speed as compared to present day Algorithm and suggest research methodology for future.