Masters Project

  • Developed a webcam-based eye-tracking system using TensorFlow FaceMesh to estimate on-screen gaze.
  • We extended WebGazer in two ways: first, we implemented an online process that dynamically tracks environment variables such as the user’s viewing distance from the screen with one initial simple calibration task. Second, we apply Gaussian Process regression with a novel kernel to map eye images to eyeball rotation angles.
  • We achieve on average 22% reduction in gaze-prediction error compared to the original WebGazer. Check out the project here.
  • Supervisor: Dr Guillaume Hennequin