Literature DB >> 8968972

Measuring eye movements during locomotion: filtering techniques for obtaining velocity signals from a video-based eye monitor.

V E Das1, C W Thomas, A Z Zivotofsky, R J Leigh.   

Abstract

Video-based eye-tracking systems are especially suited to studying eye movements during naturally occurring activities such as locomotion, but eye velocity records suffer from broad band noise that is not amenable to conventional filtering methods. We evaluated the effectiveness of combined median and moving-average filters by comparing prefiltered and postfiltered records made synchronously with a video eye-tracker and the magnetic search coil technique, which is relatively noise free. Root-mean-square noise was reduced by half, without distorting the eye velocity signal. To illustrate the practical use of this technique, we studied normal subjects and patients with deficient labyrinthine function and compared their ability to hold gaze on a visual target that moved with their heads (cancellation of the vestibulo-ocular reflex). Patients and normal subjects performed similarly during active head rotation but, during locomotion, patients held their eyes more steadily on the visual target than did subjects.

Entities:  

Keywords:  NASA Discipline Neuroscience; NASA Discipline Number 16-10; NASA Program Space Physiology and Countermeasures; Non-NASA Center

Mesh:

Year:  1996        PMID: 8968972

Source DB:  PubMed          Journal:  J Vestib Res        ISSN: 0957-4271            Impact factor:   2.435


  1 in total

1.  Real-time recording and classification of eye movements in an immersive virtual environment.

Authors:  Gabriel Diaz; Joseph Cooper; Dmitry Kit; Mary Hayhoe
Journal:  J Vis       Date:  2013-10-10       Impact factor: 2.240

  1 in total

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