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openEyeTrack - A high speed multi-threaded eye tracker for head-fixed applications

Jorge Paolo Casas; Chandramouli Chandrasekaran


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>v1.0.0 - openEyeTrack software is now available for public use.</p>\n\n<p>Release Notes: v1.0.0 of openEyeTrack is a multithreaded open eye tracker which is capable of grabbing frames from a high speed Teledyne DALSA Genie Nano camera and can use openCV blob detection methods on the frame to identify the pupil and provide an estimate of eye position and pupil area.</p>\n\n<p>We use OpenCV4 and Qt5 for this release. The GUI contains both Qt5 elements and cvui elements.</p>\n\n<p>This software is licensed under GNU General Public License v3.0.</p>", 
  "license": "https://opensource.org/licenses/LGPL-3.0", 
  "creator": [
    {
      "affiliation": "Boston University", 
      "@id": "https://orcid.org/0000-0002-9575-1717", 
      "@type": "Person", 
      "name": "Jorge Paolo Casas"
    }, 
    {
      "affiliation": "Boston University", 
      "@id": "https://orcid.org/0000-0002-1711-590X", 
      "@type": "Person", 
      "name": "Chandramouli Chandrasekaran"
    }
  ], 
  "url": "https://zenodo.org/record/3515534", 
  "codeRepository": "https://github.com/chand-lab/openEyeTrack/tree/v1.0.0", 
  "datePublished": "2019-10-22", 
  "version": "v1.0.0", 
  "keywords": [
    "Eye tracking, Open Source, blob detector, multi-threaded, OpenCV"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3515534", 
  "@id": "https://doi.org/10.5281/zenodo.3515534", 
  "@type": "SoftwareSourceCode", 
  "name": "openEyeTrack - A high speed multi-threaded eye tracker for head-fixed applications"
}
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