Both come with the possibility for robust visualizations, annotations, and metrics exports that are integral to high-quality eye tracking research. If you don't need constant access to this data stream, you may alternatively call webgazer.getCurrentPrediction() which will give you a prediction at the moment when it is called. Aiming to create a robust, accurate, fast eye tracking solution that uses only the existing webcam in your computer or laptop. The desktop solution allows you to synchronize and analyze data from infrared eye trackers, and the Online Data Collection system allows for webcam-based eye tracking collected remotely. This method invokes a callback you provide every few milliseconds to provide the current gaze location of a user. tGazeListener() is a convenient way to access these predictions. Once webgazer.begin() has been called, WebGazer.js is ready to start giving predictions. webgazer.begin() starts the data collection that enables the predictions, so it's important to call this early on. 'RealEye has very friendly user system that helps us to generate the studies very quickly.' - Ari K.
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Eye tracking with webcam for free#
The two most important methods on webgazer are webgazer.begin() and tGazeListener(). Webcam Eye-Tracking See the platforms video overview Try For Free 7-days free license Launch Demo 1. webgazer has methods for controlling the operation of WebGazer.js allowing us to start and stop it, add callbacks, or change out modules. Once the script is included, the webgazer object is introduced into the global namespace. To use WebGazer.js you need to add the webgazer.js file as a script in your website:īe aware that when you do local development and you might need to run locally a simple http server that supports the https protocol.
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