fixation-correction-sourcecode

Unless otherwise noted, files are in the root/source directory.

Debug files:

• test.txt
• cluster.txt
• correction_ratio.txt
• overflowlog.txt

Input and Output folders:

• eyetracking-data/
• aoi-data/aoi-csv/
• corrected-aoi/

How to use:

1. After cloning/downloading the source code initialize the required directories and files.

Files:

• test.txt a debug file in the source directory
• cluster.txt a debug file with information about clusters being created
• correction_ratio.txt a debug file with information about the performance of the automated correction with manual corrections
• overflowlog.txt a debug file for information about queue overflows

Directories:

• eyetracking-data/ a directory containing the original eyetracking csv files
• aoi-data/aoi-csv/ a directory containing the related aoi information with matching filenames to those in the "eyetracking-data/" directory
• corrected-aoi/ a directory where the results of running the program are put (corrected eyetracking csv files

2. Run main.py in order to create corrected files from the original files:

• The csv files that are used as input need to contain the following fields:

  • eyetracking-data:
    • fix_x_original
    • fix_y_original
    • duration_ms
    • start_ms
    • end_ms
    • aoi_sub.line
    • fix_x
    • fix_y
  • aoi-data/aoi-csv:
    • kind
    • name
    • x
    • y
    • width
    • height

UML class diagram(s)

this one was created using pyreverse an awesome tool that comes packaged with pylint