The Visual Snow Syndrome is a neurological condition that causes flickering dots to appear across a person's entire field of vision. Those who suffer from this syndrome report seeing an unending stream of flickering dots throughout their visual field. Although patients often experience concurrent migraines, Visual Snow Syndrome appears to be a distinct phenomenon from prolonged migraine aura. The cause of this syndrome is not yet fully understood, but it has been linked to various eye and brain dysfunctions. The aim of this work is to make improvements to the environment in which exercises affected by this condition are developed. Currently, the Visual Snow Initiative provides an online platform where it is possible to carry out a 30-day exercise cycle during which patients are shown videos with noise that simulates Visual Snow and only affects certain areas of the visual field. This video noise moves and shifts along the screen occupying different areas of the screen. The video stream is sent from the servers to the users and requires a modern and efficient internet connection. A single video file occupies about 2GB of disk space. Modern codecs that deal with compressing video and encoding it into browser-supported formats have great difficulty encoding a stream where the pixel matrix of the video is in constant motion. The purpose of this work is to reconstruct the noise that is displayed within the video files for the exercises by means of JavaScript algorithms in such a way as to reduce the download required from users to a few kilobytes and to generate client-side the video that will then be used for the exercise.

A New Exercise Environment for the Experimental Treatment of Visual Snow

Perri, Damiano
Membro del Collaboration Group
;
Gervasi, Osvaldo
Membro del Collaboration Group
;
Simonetti, Marco
Membro del Collaboration Group
2023

Abstract

The Visual Snow Syndrome is a neurological condition that causes flickering dots to appear across a person's entire field of vision. Those who suffer from this syndrome report seeing an unending stream of flickering dots throughout their visual field. Although patients often experience concurrent migraines, Visual Snow Syndrome appears to be a distinct phenomenon from prolonged migraine aura. The cause of this syndrome is not yet fully understood, but it has been linked to various eye and brain dysfunctions. The aim of this work is to make improvements to the environment in which exercises affected by this condition are developed. Currently, the Visual Snow Initiative provides an online platform where it is possible to carry out a 30-day exercise cycle during which patients are shown videos with noise that simulates Visual Snow and only affects certain areas of the visual field. This video noise moves and shifts along the screen occupying different areas of the screen. The video stream is sent from the servers to the users and requires a modern and efficient internet connection. A single video file occupies about 2GB of disk space. Modern codecs that deal with compressing video and encoding it into browser-supported formats have great difficulty encoding a stream where the pixel matrix of the video is in constant motion. The purpose of this work is to reconstruct the noise that is displayed within the video files for the exercises by means of JavaScript algorithms in such a way as to reduce the download required from users to a few kilobytes and to generate client-side the video that will then be used for the exercise.
2023
9783031371042
9783031371059
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1571054
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