Eye Gaze Tracking for Tracking Reading Progress

Student thesis: Master thesis (including HD thesis)

  • Julia Alexandra Vigo
The purpose of this project is to follow the reading process of subjects thanks to an eye gaze tracker. To do that, tests have been conducted on dyslexic persons. For these tests, we use an eye gaze tracker with an already implemented reading tutor using speech recognition.
The baseline of this project is to map gaze data points to the corresponding words in the text. Algorithms are implemented in order to compensate issues that are inherent when using eye gaze tracking for reading process.
To evaluate the accuracy of the system, the tracking error rate is calculated. We use as references the manual transcriptions of the speech recorded during the experiments and as hypothesis the gaze data points mapped.
The resulting tracking error rate is 114.6% which is really high. But when using speech recognition fused with eye gaze tracking for the reading tutor, the accuracy is better. Eye gaze tracking actually improves the already implemented reading tutor using only speech recognition.
Publication date3 Jun 2013
Number of pages100
ID: 77098778