GazeAlyze Crack Download PC/Windows [March-2022] 🔍

GazeAlyze is a versatile toolbox for MatLab with a graphical user interface and can be used to analyse eyetracker-log-files in various ways.
You can now extend the functionality of your MatLab application with the help of this component.


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GazeAlyze Crack+ X64 2022 [New]

The software generates a 2D gaze direction and returns the gaze duration, the gazefollow times, the pixel-coordinate of the center of the gaze and the distance between the gaze point and the center of the screen.
GazeAlyze is designed to be especially suitable for analyzing eyetracker log-files to look up and detect glissades, skips and misses.


– Gaze accurate and hardware agnostic: supported eyetracker manufacturers are: MicroEys, EyeLink and iView
– Matlab interface: An easy GUI for Matlab is created where you can set parameters for a new logfile. The parameters can be saved for further use. This is a time saver!
– Special features: in the GUI you can check whether a gaze is inside the screen area, you can select a range of parameters for the gazefollow interval and you can define how the saccades of the eyetracker are handled.
– Export to Excel: can export your data to an Excel file.
– Open Source: so you don’t need to pay anything for it!

GazeAlyze contains the following components:

– A Detector for the detection of the position of the center of a gaze: This component does a simple threshold detection for the data as provided in a logfile. You can fix the positions of the lookups at pixel coordinates or a specific screen area. Both are supported for the detector.
– A Detector for the detection of the gaze direction: The detection of gaze direction data is a tricky problem. GazeAlyze can detect the following gaze direction data:
– Horizontal directional, i.e. up and down
– Vertical directional, i.e. forward and backward
– The sagittal gaze direction
– A Detector for the detection of the minimum and maximum duration of the eyes-closed

For both the detectors, there are 2 possible parameter sets:
– Static: in which the parameters are set before the beginning of the analysis. Only use this for small logfiles
– Auto: in which the parameters are set automatically. The manual can be set in the GUI and saved to a file.

Different Post-Detectors are available for further data analysis:

– An option to analyze gaze data with respect to the fixations of a predefined set of images: You can set the images by name and

GazeAlyze Crack [2022]

1. User interface
This component provides a graphical user interface to GazeAlyze.
A feedback request dialog is shown in the first startup screen. The
user may choose one of the supported eye-tracker brands (i.e. SMARTEYE,
EyeLink or ANYEYES). The available eye-tracker brands are shown in the
tool bar. As the keyboard and the mouse are not supported by the
components, the left and the right arrows of the keyboard, the Up and
the Down arrows of the mouse as well as the Esc button are used to
manage the feedback request dialog.
A feedback request dialog in the typical use case is shown in Figure 2.
Click on the subject’s eyes to specify a detection area and a capture
Figure 2: Feedback Request Dialog
The found gaze point is visualised in the Display Section.
The main window looks like a standard MatLab Figure. You may analyse gaze events like saccades, fixations or blink.
The selections may be saved and retrieved via File/Save, File/Open.
You may set the resolution of the eye-tracker in the Preferences section and
change the settings of the eye-tracker via the Gui/Preferences Gui menu.
2. Data import and output
Importantly, the component provides a data import functionality.
After loading the data into the data structure, you can access the events
associated with a subject, a stimulus and a trial. The sample rate
of the eye-tracker should be known beforehand.
If the sample rate is not given by the eye-tracker manufacturer, use the
following formula to convert the sample rate:
Sample Rate =
DataFormat = NumberofTriggers+1

3. Event type definition
You can refine the classification of your gaze data by creating new event types.
For example, you can differentiate between saccades and fixations. This
helps you to interpret your results in more details.
GazeAlyze Further features:
– Editable filters
– Filter polygons
– Export filters to XML
– Filter saving
– Save filters to a file
– Filter exporting
– Creation of eye-tracking polygons
– Handling of coordinates outside the window-screen
– Calculation of gaze point coordinates
– Bookmark

GazeAlyze Crack + 2022 [New]

GazeAlyze is a GUI toolbox to analyse eyetracker-log-files. It supports
different plotting conventions and different outputs.
To use GazeAlyze you need a MatLab application and a log-file created by
the eyetracker software

Figure 1: GazeAlyze GUI

As can be seen from the figure 1 the GUI contains control windows with the following fields:

The eyetracker-logfile field provides a drop down box for selecting which logfile to display.

After a new eyetracker logfile has been selected the left window displays the raw data and the right window a graph with the data plotted over time.

Figure 2: eyetracker rawdata

Figure 3: eyetracker

A sample test-eyetracker-logfile is provided to test the various plotting windows of GazeAlyze.

Once a logfile has been selected the GUI window is displayed as seen in figure 1.

Of course it is also possible to use GazeAlyze from within a MatLab application.
See the following figure for an example.

Figure 4: GazeAlyze from MatLab

Application of GazeAlyze:
GazeAlyze can be used in a number of ways:

When working with GazeAlyze you can have four plotting windows at once.
Moreover you have access to a number of functions for creating different plots from the raw data available in an eye-tracking logfile.

If you only want to analyse one eye-tracking logfile in a different format then GazeAlyze is also able to perform this task.

Just click on the eye of the eyetracker-logfile and you will be able to select a number of plotting windows from the GUI:

Figure 1: eyes

If you select « plot raw data » you will be able to extract the raw data from a logfile directly and plot it.

If you select the appropriate plotting windows then you can configure and display the data as you like. For example you can display the raw data over time or you can use the different plotting functions to create a polar plot, scalar plot, curve plot,

What’s New in the?

is a MatLab-toolbox for Gaze-Data-Analysis. It can be used to easily process yor data (logfiles).


Matlab Documentation:


MatLab Runtime: 6.0 or higher
Matlab GUI Runtime: 6.0 or higher


* install GazeAlyze from
* open the program
* choose the « grab_data »
* choose the tab
* choose the tab « Logfile »
* choose the logfile
* then press the « process data » button

Additional Features:

*. Parameters are set via GUI to speed-up analysis
*. You can choose whether to include or ignore a given text-part
*. You can choose whether to include or ignore columns with invalid/unusual data
*. You can choose whether to include or ignore rows with invalid/unusual data
*. You can choose the data-file format which Gazealyze uses for storing the data (simple text or tab-delimited)
*. Choose the transformation you want to calculate
* You can choose the output data-file format


*. Matlab Data-Object
*. Matlab vector output as well as various HTML-Output formats (click the link for details)
*. You can also get a text-file as output containing the following parameters:
– the number of samples in your data
– the number of samples per second
– the number of samples per frame
– the success rate (percentage) of your data

* For debugging your Matlab-script use the following command-line parameter:


System Requirements:

Supported video cards:
NVIDIA GeForce GTX 470
NVIDIA GeForce GTX 480
NVIDIA GeForce GTX 560
NVIDIA GeForce GTX 670
AMD Radeon HD 5770
AMD Radeon HD 5750
AMD Radeon HD 5870
AMD Radeon HD 6870
AMD Radeon HD 6850
AMD Radeon HD 6900
AMD Radeon HD 6950
AMD Radeon HD 6970
AMD Radeon HD 6950 Ti
Supported OS:
Windows 8, Windows 8.1, Windows Server 2012


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