Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.11204 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910898611814400 |
|---|---|
| author | Shah, Vijul Watanabe, Ko Moser, Brian B. Dengel, Andreas |
| author_facet | Shah, Vijul Watanabe, Ko Moser, Brian B. Dengel, Andreas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_11204 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation Shah, Vijul Watanabe, Ko Moser, Brian B. Dengel, Andreas Computer Vision and Pattern Recognition Artificial Intelligence Computers and Society Human-Computer Interaction Machine Learning 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. |
| title | PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Computers and Society Human-Computer Interaction Machine Learning |
| url | https://arxiv.org/abs/2407.11204 |