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

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.

• Publication year

  2019

• Venue

  IEEE Global Conference on Signal and Information Processing

• Publication date

  2019-07-16

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/GlobalSIP45357.2019.8969561arXiv 1907.07232
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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