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How to get accurate results?

Get accurate webcam eye-tracking results with simple setup tips for lighting, positioning, and stability.

Getting reliable results from webcam-based eye-tracking is simple when you follow a few key setup tips. These small adjustments can make a big difference in accuracy and data quality.

TL;DR: Watch this short video for a quick overview of how to set up your testing environment for optimal accuracy :-)

 

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To get the best results from webcam eye-tracking, follow these recommendations:

  1. The webcam MUST be mounted on the screen that displays the stimuli in case of Desktops and Laptops. For Smartphones and Tablets, the front-facing camera MUST be used. 

  2. The webcam image MUST be steady - ensure the setup does not shake. For example, avoid placing a laptop on your knees / moving or carrying your devices.

  3. The panelist MUST sit directly in front of the webcam. The webcam SHOULD be positioned slightly below the panelist’s eye level.

  4. There MUST be only one face visible to the webcam.

  5. The panelist’s eyes MUST be clearly visible in the webcam video. Their face SHOULD take up at least one-third of the webcam frame. Panelists are advised NOT TO wear glasses if possible. If worn, glasses MUST NOT block the pupils or reflect light in a way that interferes with tracking.

  6. The panelist SHOULD sit comfortably and SHOULD try to keep their head still. Using a chair with a headrest is recommended.

  7. The panelist’s face SHOULD be well-lit. Lighting SHOULD NOT change during the test.
  8. Make sure Hardware & Software requirements are met.

 

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🎯Expected Accuracy

The Accuracy means how close the system’s prediction is to the actual point on the screen where a person is looking. To evaluate the Accuracy of RealEye on Computers and Smartphones, we performed a validation study that involved grid-based tasks - learn more in our Whitepaper.

The results of the study showed that the average accuracy on Computers ≈ 106 pixels, and the average accuracy on Smartphones ≈ 56 pixels.

 

This indicates that RealEye performs reliably across a wide range of environments and user setups, making it a practical solution for remote eye-tracking research. Check out Who can benefit from RealEye?

 

 

💌 If you have any further questions, feel free to reach out to our team at support@realeye.io