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Detection of fixations and smooth pursuit movements in high-speed eye-tracking data

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Author

Summary, in English

A novel algorithm for the detection of fixations and smooth pursuit movements in high-speed eye-tracking data is proposed, which uses a three-stage procedure to divide the intersaccadic intervals intoa sequence of fixation and smooth pursuit events. The first stage performs a preliminary segmentationwhile the latter two stages evaluate the characteristics of each such segment and reorganize the pre-liminary segments into fixations and smooth pursuit events. Five different performance measures arecalculated to investigate different aspects of the algorithm’s behavior. The algorithm is compared to thecurrent state-of-the-art (I-VDT and the algorithm in [11]), as well as to annotations by two experts. Theproposed algorithm performs considerably better (average Cohen’s kappa 0.42) than the I-VDT algorithm(average Cohen’s kappa 0.20) and the algorithm in [11] (average Cohen’s kappa 0.16), when comparedto the experts’ annotations.

Publishing year

2015

Language

English

Pages

145-152

Publication/Series

Biomedical Signal Processing and Control

Volume

18

Document type

Journal article

Publisher

Elsevier

Topic

  • Medical Engineering

Keywords

  • smooth pursuit
  • eye-tracking
  • Signal processing

Status

Published

ISBN/ISSN/Other

  • ISSN: 1746-8094