0000000001319680

AUTHOR

Alisa Matlin

showing 2 related works from this author

Temporal Structure of Human Gaze Dynamics Is Invariant During Free Viewing.

2015

We investigate the dynamic structure of human gaze and present an experimental study of the frequency components of the change in gaze position over time during free viewing of computer-generated fractal images. We show that changes in gaze position are scale-invariant in time with statistical properties that are characteristic of a random walk process. We quantify and track changes in the temporal structure using a well-defined scaling parameter called the Hurst exponent, H. We find H is robust regardless of the spatial complexity generated by the fractal images. In addition, we find the Hurst exponent is invariant across all participants, including those with distinct changes to higher or…

AdultVisual acuityAdolescentEye MovementsComputer scienceInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVisual Acuitylcsh:MedicineNeural degenerationTemporal lobeOcular Motility DisordersYoung AdultFractalInformationSystems_MODELSANDPRINCIPLESOcular Motility DisordersMuscle Stretching ExercisesmedicineHumansComputer visionInvariant (mathematics)lcsh:ScienceHurst exponentMultidisciplinarybusiness.industrylcsh:REye movementComputational BiologyRandom walkGazeTemporal LobeFractalsHuman visual system modelNerve Degenerationlcsh:QArtificial intelligencemedicine.symptombusinessResearch ArticlePLoS ONE
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Data from: Temporal structure of human gaze dynamics is invariant during free viewing

2016

We investigate the dynamic structure of human gaze and present an experimental study of the frequency components of the change in gaze position over time during free viewing of computer-generated fractal images. We show that changes in gaze position are scale-invariant in time with statistical properties that are characteristic of a random walk process. We quantify and track changes in the temporal structure using a well-defined scaling parameter called the Hurst exponent, H. We find H is robust regardless of the spatial complexity generated by the fractal images. In addition, we find the Hurst exponent is invariant across all participants, including those with distinct changes to higher or…

medicine and health careEye movementsgaze shiftsLife SciencesMedicinescale invariancerandom walk processses
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