WebGazer.js

Spec sheet

Purpose

WebGazer.js uses ordinary webcams to estimate web visitors’ gaze locations on a page in real time.Read 7 Oct 2026 · webgazer.cs.brown.edu

License

The official site lists WebGazer.js under the GPLv3 license.Read 7 Oct 2026 · webgazer.cs.brown.edu

Founded

2016Read 28 Sep 2026 · webgazer.cs.brown.edu

Browser processing

The library runs entirely in the client browser, so video data does not need to be sent to a server.Read 7 Oct 2026 · webgazer.cs.brown.edu

Browser support

The listed supported browsers are Chrome, Edge, Firefox, Opera, and Safari.Read 7 Oct 2026 · webgazer.cs.brown.edu

Browsers

The project lists Google Chrome, Microsoft Edge, Mozilla Firefox, Opera, and Safari as supported browsers.Read 7 Oct 2026 · webgazer.cs.brown.edu

Calibration

Its model self-calibrates by observing interactions with the page, including clicks and cursor movements.Read 7 Oct 2026 · webgazer.cs.brown.edu

Client-side processing

It runs entirely in the client browser, so video data does not need to be sent to a server.Read 7 Oct 2026 · webgazer.cs.brown.edu

Consent

WebGazer.js requires the user’s consent to access their webcam.Read 7 Oct 2026 · webgazer.cs.brown.edu

Data storage

Training data can be saved between browser sessions in the browser using IndexedDB via localForage.Read 7 Oct 2026 · webgazer.cs.brown.edu

Dataset

The project provides a dataset containing data from 51 participants, including webcam videos, interaction logs, and gaze locations predicted by a Tobii eye tracker.Read 7 Oct 2026 · webgazer.cs.brown.edu

Eye tracking components

Tracker and regression modules can be swapped, and MediaPipe Facemesh is included as the default tracker.Read 7 Oct 2026 · webgazer.cs.brown.edu

Hardware

It uses a common webcam and does not require special hardware.Read 7 Oct 2026 · webgazer.cs.brown.edu

Integration

The project says it can be added to a website with a few lines of JavaScript, including as a script or through the npm package.Read 7 Oct 2026 · github.com

Intended use

The site describes WebGazer.js as a way for websites to understand visitors and transform their user experience.Read 7 Oct 2026 · webgazer.cs.brown.edu

Local data

Training data can be saved between browser sessions using localforage and IndexedDB; saving across sessions can be disabled.Read 7 Oct 2026 · webgazer.cs.brown.edu

Maintainer

The site identifies Jeff Huang as the current maintainer and says WebGazer research began at Brown University, with recent work and maintenance jointly at Pomona College and Brown University.Read 7 Oct 2026 · webgazer.cs.brown.edu

Maintenance

As of February 24, 2026, updates are no longer guaranteed, while community support continues through GitHub Issues.Read 7 Oct 2026 · webgazer.cs.brown.edu

Maintenance and support

As of February 24, 2026, updates are no longer guaranteed, while community support continues through GitHub Issues.Read 7 Oct 2026 · webgazer.cs.brown.edu

Modules

Eye tracking components can be swapped, and the library includes multiple gaze prediction models.Read 7 Oct 2026 · webgazer.cs.brown.edu

Prediction models

The included regression modules are ridge, weightedRidge, and threadedRidge.Read 7 Oct 2026 · webgazer.cs.brown.edu

Use cases

The site describes the library as a way for websites to understand visitors and transform their user experience.Read 7 Oct 2026 · webgazer.cs.brown.edu

Where Specifiction places it

• Eye Tracking Software#26 of 276.8