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As of Gazepoint release V4.2.0 the USER_DATA option in the OpenGaze API has been updated to include an optional duration tag. The DUR tag allows for embedding discrete events into the data stream. Previously if a USER_DATA value was set in the gaze data stream: <SET ID="USER_DATA" VALUE="EXP1" /> The USER_DATA value would then be set for all subsequent data samples, which is useful for blocking off portions of the data stream, such as Experiment 1, Experiment 2, etc. The duration option allows embedding single events (DUR=1) which means only a single data record will be tagged with the event. <SET ID="USER_DATA" VALUE="EVENT1" DUR="1" /> With this update it is possible to read other sensors such as serial port devices and then use the API to embed the results in the data stream. An illustrative example using MATLAB is shown below, where Control is running to generate the gaze data, and Analysis is running to collect the data. In the example the original use case is shown where USER_DATA is set to EXP1 for 1 second of data, EXP2 for 1.5 seconds and EXP3 for 2 seconds (a simple delay is used instead of the actual experiment). Following this the new USER_DATA capability is demonstrated using fictional events 88, 99, 101 (these could be A,B,C, or any other ID for the events). The source code is available in the demo folder of the Gazepoint installation C:\Program Files (x86)\Gazepoint\Gazepoint\demo\ </pre> %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Gazepoint sample program for USER_DATA embedding via the Gazepoint API % Written in 2017 by Gazepoint www.gazept.com % % To the extent possible under law, the author(s) have dedicated all copyright % and related and neighboring rights to this software to the public [...]

The latest release of the Gazepoint software suite is now available to download. A few notable updates in the release: Gazepoint Control We have added a gain-sweep mode which when enabled, will sweep through the full range of the system gain settings until eyes are detected. In the image to the right you can see the bright pupils properly tracked. If the pupils were too bright the lower two eye images would be red (unidentified) and the upper face image would show bright white pupils. It has been reported that for some young subjects (under 6 years old) the pupils have such a strong bright pupil response the system cannot identify them properly to engage the automatic gain system, the pupils just look like glasses reflections. At this time the gain sweep mode is optional and can be enabled by clicking on the Control window and press the 'P' key on the keyboard. In the lower right of the taskbar it will show the Gain Sweep mode is active. If this system proves to work well for this use case we will enable it by default in future releases. Gazepoint Analysis A number of small bug fixes were added, as well as an update to the way the Gazepoint Analysis display is rendered. This update reduces the CPU usage when not actively rendering or processing data in Analyze mode.

We have done a search for 2017 academic publications which used or cited the Gazepoint eye tracking system. You can find the list on the publications page. If you have used the Gazepoint system in your published work and wish to be added to the list, please let us know.

Version 3.2.0 of Gazepoint Analysis has been released. Calibration and tracking performance have been improved in this version along with the ability to use a default browser for web recording. Default browser feature has been requested for some time and we are pleased to be finally able to deliver it. It is a much simplified approach to web recording which does not support multiple user data aggregation but will start the computer default browser for a web recording session. This can be Chrome or Firefox or any browser of your choice. Short-cut keys are handy for stopping recordings (CTRL + ALT + S). See the new web recording in action. https://www.youtube.com/watch?v=20Kk_Vvk-_8

Interested in Eye Tracking for gaming? Watch our demo here of the GP3 in action while playing a game. The objective was to track where the user attention was during game play so that information can be placed optimally in the user interface. Gazepoint can be used in similar fashion for user interface optimization for other applications as well. https://www.youtube.com/watch?v=oTHxb9nPRhI