PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation

TL;DR

This paper introduces PupilSense, an accessible webcam-based application for estimating pupil diameter, along with a new open source dataset, enabling broader use in research and healthcare without specialized equipment.

Contribution

The paper presents a novel webcam-based pupil diameter estimation tool and an open source dataset, expanding accessibility for research and practical applications.

Findings

Accurate pupil diameter estimation from standard webcams.

Detailed analysis including class activation maps and eye aspect ratios.

Open source dataset for further research.

Abstract

Measuring pupil diameter is vital for gaining insights into physiological and psychological states - traditionally captured by expensive, specialized equipment like Tobii eye-trackers and Pupillabs glasses. This paper presents a novel application that enables pupil diameter estimation using standard webcams, making the process accessible in everyday environments without specialized equipment. Our app estimates pupil diameters from videos and offers detailed analysis, including class activation maps, graphs of predicted left and right pupil diameters, and eye aspect ratios during blinks. This tool expands the accessibility of pupil diameter measurement, particularly in everyday settings, benefiting fields like human behavior research and healthcare. Additionally, we present a new open source dataset for pupil diameter estimation using webcam images containing cropped eye images and corresponding pupil diameter measurements.