OGAMA
What it is
OGAMA is Windows freeware for recording and analyzing eye-tracking and mouse-tracking data from slideshow experiments. It can record directly with Tobii, alea, and SMI systems, as well as the open-source ITU Gazetracker solution, or import ASCII recordings from eye-tracking and presentation software or hardware. The Gazetracker option uses infrared-ready webcams or a modified PlayStationEye camera. For analysis, OGAMA provides database-driven preprocessing and filtering, attention maps, areas of interest, saliency and Levenshtein distance calculations, and replay with AVI recording. Its output can be used directly with statistical software packages. The project is open source and written in C#.NET, and its code can be adapted to users’ needs. One important limitation is support: the maintainer announced in May 2016 that they had stopped handling support and feature requests because they no longer had time. The listed plan is Freeware, at no cost.
For and against
For
- Records directly with several listed tracking systems
- Imports ASCII recordings
- Provides attention maps and areas of interest
- Output can be used with statistical software
Against
- Available for Windows only
- Maintainer stopped support in May 2016
The verdict
OGAMA combines recording, import, visualization, and data-processing tools for slideshow experiments, and its code is adaptable. Its discontinued support is a key consideration for anyone who may need help or feature requests.
Who it suits
OGAMA may suit Windows users running slideshow studies who need to record or analyze gaze and mouse data. Its import options and output for statistical software may also help users working with existing recordings.
Plans and prices
Freeware
Freeware; open source
Read 5 Oct 2026 · github.com
On the record
- Adaptability
- The project states that its open-source code can be adapted to suit users’ needs.github.com · read 4 Oct 2026
- Analysis features
- Features include attention maps, areas of interest, saliency calculation, Levenshtein distance calculation, and replay with AVI recording.github.com · read 5 Oct 2026
- Analysis tools
- Features include database-driven preprocessing and filtering, attention maps, areas of interest, saliency calculation, Levenshtein distances, and replay with AVI recording.github.com · read 4 Oct 2026
- Customization
- The project says users can adapt OGAMA because it is open source.github.com · read 5 Oct 2026
- Data import
- OGAMA can import ASCII recordings from eye-tracking and presentation software or hardware.github.com · read 4 Oct 2026
- Data output
- OGAMA provides output that can be used directly with different statistical software packages.github.com · read 5 Oct 2026
- Data processing
- It provides database-driven preprocessing and filtering of gaze and mouse data.github.com · read 5 Oct 2026
- Direct recording integrations
- Direct recording is supported with Tobii, alea, SMI, and the ITU Gazetracker open-source solution.github.com · read 4 Oct 2026
- Gazetracker hardware
- The ITU Gazetracker solution described by the project uses infrared-ready webcams or a modified PlayStationEye camera.github.com · read 5 Oct 2026
- Import
- OGAMA can import many eye tracking and presentation software or hardware recordings in ASCII format.github.com · read 5 Oct 2026
- License and cost
- OGAMA is freeware released as an open-source project.github.com · read 4 Oct 2026
- Purpose
- OGAMA records and analyzes eye and mouse tracking data from slideshow eye tracking experiments.github.com · read 5 Oct 2026
- Recording integrations
- Direct recording is supported with tracking systems from Tobii, alea, and SMI, and with the ITU Gazetracker open source solution.github.com · read 5 Oct 2026
- Support
- The maintainer says they no longer have time to support the project, a notice dated May 2016.github.com · read 5 Oct 2026
- Support status
- The developer says they stopped supporting the project in May 2016 because they no longer had time to handle support and feature requests.github.com · read 4 Oct 2026
- Technology
- OGAMA is written in C#.NET and released as an open source project.github.com · read 5 Oct 2026
