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2014 | OriginalPaper | Chapter

Evaluating Quality of Dispersion Based Fixation Detection Algorithm

Authors : Katarzyna Hareżlak, Paweł Kasprowski

Published in: Information Sciences and Systems 2014

Publisher: Springer International Publishing

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Abstract

Information hidden in the eye movement signal can be a valuable source of knowledge about a human mind. This information is commonly used in multiple fields of interests like psychology, medicine, business, advertising, or even software developing. The proper analysis of the eye movement signal requires its elements to be extracted. The most important ones are fixations—moments when eyes are almost stable and the brain is acquiring information about the scene. There were several algorithms, aiming at detecting fixations, developed. The studies presented in this paper focused one of the most common dispersion-based algorithms—I-DT one. The various ways of evaluating its results were analyzed and compared. Some extensions in this algorithm were made as well.

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Metadata
Title
Evaluating Quality of Dispersion Based Fixation Detection Algorithm
Authors
Katarzyna Hareżlak
Paweł Kasprowski
Copyright Year
2014
Book
Information Sciences and Systems 2014

Print ISBN: 978-3-319-09464-9

Electronic ISBN: 978-3-319-09465-6

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-09465-6_11

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