Literature DB >> 23902754

A novel method for measuring gaze orientation in space in unrestrained head conditions.

Benedetta Cesqui1, Rolf van de Langenberg, Francesco Lacquaniti, Andrea d'Avella.   

Abstract

Investigation of eye movement strategies often requires the measurement of gaze orientation without restraining the head. However, most commercial eye-trackers have low tolerance for head movements. Here we present a novel geometry-based method to estimate gaze orientation in space in unrestricted head conditions. The method combines the measurement of eye-in-head orientation-provided by a head-mounted video-based eye-tracker-and head-in-space position and orientation-provided by a motion capture system. The method does not rely on specific assumptions on the configuration of the eye-tracker camera with respect to the eye and uses a central projection to estimate the pupil position from the camera image, thus improving upon previously proposed geometry-based procedures. The geometrical parameters for the mapping between pupil image and gaze orientation are derived with a calibration procedure based on nonlinear constrained optimization. Additionally, the method includes a procedure to correct for possible slippages of the tracker helmet based on a geometrical representation of the pupil-to-gaze mapping. We tested and validated our method on seven subjects in the context of a one-handed catching experiment. We obtained accuracy better than 0.8° and precision better than 0.5° in the measurement of gaze orientation. Our method can be used with any video-based eye-tracking system to investigate eye movement strategies in a broad range of naturalistic experimental scenarios.

Keywords:  calibration; drift correction; gaze orientation in space; nonlinear optimization; oculography

Mesh:

Year:  2013        PMID: 23902754     DOI: 10.1167/13.8.28

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  6 in total

1.  Differential contributions to the interception of occluded ballistic trajectories by the temporoparietal junction, area hMT/V5+, and the intraparietal cortex.

Authors:  Sergio Delle Monache; Francesco Lacquaniti; Gianfranco Bosco
Journal:  J Neurophysiol       Date:  2017-07-12       Impact factor: 2.714

2.  A comparison of geometric- and regression-based mobile gaze-tracking.

Authors:  Björn Browatzki; Heinrich H Bülthoff; Lewis L Chuang
Journal:  Front Hum Neurosci       Date:  2014-04-08       Impact factor: 3.169

3.  Gaze behavior in one-handed catching and its relation with interceptive performance: what the eyes can't tell.

Authors:  Benedetta Cesqui; Maura Mezzetti; Francesco Lacquaniti; Andrea d'Avella
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

4.  Mobile gaze tracking system for outdoor walking behavioral studies.

Authors:  Matteo Tomasi; Shrinivas Pundlik; Alex R Bowers; Eli Peli; Gang Luo
Journal:  J Vis       Date:  2016       Impact factor: 2.240

5.  An examination of active inference in autistic adults using immersive virtual reality.

Authors:  Tom Arthur; David Harris; Gavin Buckingham; Mark Brosnan; Mark Wilson; Genevieve Williams; Sam Vine
Journal:  Sci Rep       Date:  2021-10-13       Impact factor: 4.379

6.  A geometric method for computing ocular kinematics and classifying gaze events using monocular remote eye tracking in a robotic environment.

Authors:  Tarkeshwar Singh; Christopher M Perry; Troy M Herter
Journal:  J Neuroeng Rehabil       Date:  2016-01-26       Impact factor: 4.262

  6 in total

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