Saccadic Eye Movements and the Generalized Pareto Distribution

06/24/2014
by   Reiner Lenz, et al.
0

We describe a statistical analysis of the eye tracker measurements in a database with 15 observers viewing 1003 images under free-viewing conditions. In contrast to the common approach of investigating the properties of the fixation points we analyze the properties of the transition phases between fixations. We introduce hyperbolic geometry as a tool to measure the step length between consecutive eye positions. We show that the step lengths, measured in hyperbolic and euclidean geometry, follow a generalized Pareto distribution. The results based on the hyperbolic distance are more robust than those based on euclidean geometry. We show how the structure of the space of generalized Pareto distributions can be used to characterize and identify individual observers.

READ FULL TEXT

page 5

page 6

research
04/15/2021

Lorentzian Graph Convolutional Networks

Graph convolutional networks (GCNs) have received considerable research ...
research
10/07/2022

A unified approach to radial, hyperbolic, and directional distance models in Data Envelopment Analysis

The paper analyzes properties of a large class of "path-based" Data Enve...
research
06/01/2018

Large-Margin Classification in Hyperbolic Space

Representing data in hyperbolic space can effectively capture latent hie...
research
02/22/2019

Scalable Hyperbolic Recommender Systems

We present a large scale hyperbolic recommender system. We discuss why h...
research
08/15/2020

Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks

We introduce a simple autoencoder based on hyperbolic geometry for solvi...
research
01/03/2022

On Automating Triangle Constructions in Absolute and Hyperbolic Geometry

We describe first steps towards a system for automated triangle construc...
research
07/19/2019

The LAPW method with eigendecomposition based on the Hari–Zimmermann generalized hyperbolic SVD

In this paper we propose an accurate, highly parallel algorithm for the ...

Please sign up or login with your details

Forgot password? Click here to reset