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

## TL;DR

This paper introduces a novel Slip Kalman filter method to accurately track reading progression using eye-gaze data, enabling detailed analysis of reading behavior with inexpensive eye-tracking devices.

## Contribution

The paper presents a new Slip Kalman filter tailored for tracking reading progression, improving accuracy with low-cost eye-tracking technology.

## Key findings

- Successfully tracked reading progression over 25 pages of eye-tracking data.
- Accurately identified read and skipped lines.
- Estimated time spent on each line effectively.

## Abstract

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.