ViSTA

ViSTA is short for Visualization of STA algorithm. STA algorithm is developed by Sukru Eraslan.

Documents are on GitHub, you can easily reach online version from here.

Our award winning related academic writing can be reached here, ViSTA: Visualisation of Scanpath TrendAnalysis (STA).

Live Demo

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Versions

Followings are version differences of ViSTA,

1.3.5:

• New STA version. (Tolerance level adjustment.)

1.3.4:

• New STA version.

1.3.3:

• Image file option added.
• URL image removed.
• New STA settings added.
• MiniProxy updated.
• VisJS updated.

1.3.2:

• URL image temporary fix.
• MiniProxy updated.
• STA visualization improved.

1.3.1:

• Minor wording changes.
• STA web-service problem solved.

1.3.0:

• STA Socket is eliminated.
• STA algorithm restructured as web-service.

1.2.3:

• Image URL providing feature implemented.
• Shift on STA MAP solved.

1.2.2:

• Original size on download image.
• Refreshes on resize to prevent error.

1.2.1:

• Improvement on background fetching process.
• Error correction on download process.

1.2.0:

• Minor adjustments on color schema.
• Minor adjustments on AOI visualization.
• ViSTA banner & icon added.
• Download support for ViSTA image implemented.
• STA Socket improved by added external settings option.
• Settings menu activated.
• Sample data added.

1.1.7:

• Minor adjustments on AOI block and visualization.
• Minor adjustments on visualization method selection.
• Minor adjustments on background image display.

1.1.6:

• Documents added.

1.1.5:

• New data indicator added for stimuli list.
• Visual components of AOIs are added.
• Visualization method selection improved.

1.1.0:

• Material User Interface implemented.
• Socket for STA improved.
• Visualization of STA improved.
• Filter mechanism introduced.
• Main ViSTA functions refactored in vista.js.
• NodeJS environment has been set.

1.0.1:

• Visualization of STA with Directed-Graph Method is implemented.
• Socket for STA implemented with python.

1.0.0:

• Data module for TOBII is implemented.
• Proxy for html2Canvas library is implemented.
• Visualization of raw-data with VisJS library is implemented.
• Materialize css library is added.

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