Analysis of Pupil Dilation on Different Emotional States by Using Computer Vision Algorithms

Abstract

Measurement of pupil diameter can be helpful to study human mental health. In medical science pupillary tracking helps the clinicians to detect the level of depression, stress and anxiety. Many studies have been undertaken to detect emotional states of a person from his pupil movement as well as size. Pupil diameter measurement follows the stages of detecting face, detecting eyes and detecting pupil. In this paper we have analyzed the effect of three emotions, i.e., happy, sad and surprise on the pupil diameter using the computer vision techniques.