Deducing self-interaction in eye movement data using sequential spatial point processes

doi:10.1016/j.spasta.2016.03.005

Paper

Deducing self-interaction in eye movement data using sequential spatial point processes

Published Jun 25, 2015 · Antti Penttinen, Anna‐Kaisa Ylitalo

arXiv: Methodology

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Key takeawayUsing sequential spatial point processes, this research proposes two models for analyzing eye movement data, enabling the determination of self-interaction and its uncertainty in various applications.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Deducing self-interaction in eye movement data using sequential spatial point processes

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