# A Novel Slip-Kalman Filter to Track the Progression of Reading Through Eye-Gaze Measurements

arXiv: https://arxiv.org/abs/1907.07232 · HTML: https://mlsanity.com/paper/1907.07232/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Jul 2019.

## Built on by (most cited first, 2 of 2)

- [See Where You Read with Eye Gaze Tracking and Large Language Model](https://mlsanity.com/paper/2409.19454/) (2024)
- [Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data](https://mlsanity.com/paper/2605.00033/) (2026)

## Abstract (arXiv)

In this paper, we propose an approach to track the progression of eye-gaze while reading a block of text on computer screen. The proposed approach will help to accurately quantify reading, e.g., identifying the lines of text that were read/skipped and estimating the time spent on each line, based on commercially available inexpensive eye-tracking devices. The proposed approach is based on a novel Slip Kalman filter that is custom designed to track the progression of reading. The performance of the proposed method is demonstrated using 25 pages eye-tracking data collected using a commercial desk-mounted eye-tracking device.