ArticleFrontiers in human neuroscience2021
A Deep Learning-Based Approach to Video-Based Eye Tracking for Human Psychophysics.
Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Designing research interfaces for non-human minds: a biocentric design approach for animal cognition research.Animal cognition · 2026Review
- Predicting Behaviour Patterns in Online and PDF Magazines with AI Eye-Tracking.Behavioral sciences (Basel, Switzerland) · 2024Article
- Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development.bioRxiv : the preprint server for biology · 2024Article
- Influence of autistic traits and communication role on eye contact behavior during face-to-face interaction.Scientific reports · 2024Article
- Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis.Current Alzheimer research · 2024Review
- VCSEL pair used as optical pointers in a contact lens for gaze tracking and visual target designation.PloS one · 2022Article
- Accurate Pupil Center Detection in Off-the-Shelf Eye Tracking Systems Using Convolutional Neural Networks.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real-time gaze tracking provides crucial input to psychophysics studies and neuromarketing applications. Many of the modern eye-tracking solutions are expensive mainly due to the high-end processing hardware specialized for processing infrared-camera pictures. Here, we introduce a deep learning-based approach which uses the video frames of low-cost web cameras. Using DeepLabCut (DLC), an open-source toolbox for extracting points of interest from videos, we obtained facial landmarks critical to gaze location and estimated the point of gaze on a computer screen via a shallow neural network. Tested for three extreme poses, this architecture reached a median error of about one degree of visual angle. Our results contribute to the growing field of deep-learning approaches to eye-tracking, laying the foundation for further investigation by researchers in psychophysics or neuromarketing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.