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Visual Field Assessment and Training (VFAT): Server for Mobile and Home Perimetry

Features

  • Perform continuous home monitoring of your visual field
  • Measure equidistantly-sampled visual fields or Octopus G1-based visual fields
  • Online storage and evaluation of results
  • Use perceptual learning to improve (or even recover) your visual field
  • Implemented using Unreal Engine 4 (UE4) and Google VR to facilitate exporting the app for all major smartphone operating systems
  • See also vfat.mad.tf.fau.de

Requirements

Configuration (Django related)

  1. Create file non-opensource/config/media_root.txt and enter the full path of the media root directory for the production environment
  2. Create file non-opensource/config/static_root.txt and enter the full path of the static root directory for the production environment
  3. Create file non-opensource/config/secret_key.txt and enter the secret key

Important Scripts

  • run.sh runs the server with the local debug environment
  • reset.sh resets the server
  • python manage.py runserver runs the server with the production environment

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Visual Field Assessment and Training (VFAT): Server for Mobile and Home Perimetry

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