Prescription glasses, 3D gaze, local processing, accuracy, motion capture, and support for legacy ASL systems.
Yes. The ETVision frame is designed to sit over the participant's own glasses. Nothing has to be swapped out and no corrective lens has to be fitted to the tracker. Participants who need their glasses to do the task can keep wearing them, which matters when the task is flying, driving, reading an instrument or operating equipment.
Most eye trackers draw a dot on a scene video, which tells you where on the image the person was looking, not what they were looking at. ET3Space computes binocular vergence and combines it with head tracking, so gaze is reported in real-world room coordinates and mapped onto physical objects you define. You get the object, not the pixel position. 3D gaze in the real world explains how the world model behind it is built.
No. Recording, gaze computation, object recognition and analysis all run locally, on your own machine. Nothing is uploaded to an external service and there is no account to sign into. Sites that cannot send data outside the building can run the system exactly as it ships.
ETVision samples each eye at 180 Hz and is specified at 0.5 degree accuracy. Tracking is binocular, so both eyes are measured independently rather than one eye being estimated from the other. Battery life is over four hours of continuous recording.
Auto calibration takes about five seconds, using automatic feature detection. Single-point and multi-point calibration are available when a study needs them. Calibration is what makes the accuracy figure true for the participant in front of you rather than inferred from a population average, which is why it is worth the five seconds.
Yes. ET3Space is built to take head position and orientation from an external tracking system and combine it with the eye data to produce gaze in room coordinates. This is how gaze gets mapped to instruments in a cockpit, surfaces in a vehicle mockup, or displays in a control room.
Yes. Live AI MOT runs on the platform itself and can be trained on the objects that matter in your environment rather than a fixed generic list. Because it is not routed through a public cloud service, the training data and the recorded sessions stay with you.
Argus Science is the direct successor to Applied Science Laboratories. ASL was one of the first companies in eye tracking, with roots in research at MIT, and the line of work has run continuously for more than forty years. The people, the measurement methods, and the responsibility for the installed base carried over.
If you have an ASL eye tracker in a lab and need manuals, software or help getting it running, see Legacy and ASL support, or write to techsupport@ArgusScience.com.
Argus Science designs and builds its systems in Tyngsborough, Massachusetts. Hardware fabrication and software development are both done in the United States.
No. There is no annual fee to renew, in year one or year ten.
Yes, and it is free. The SDK ships with working samples in C++, C#, Python, LSL and MATLAB, so live gaze data can be pulled into your own application or synchronized with other instruments.
The wearable system underneath it. Both eyes measured independently at 180 Hz, which is what makes vergence a measurement rather than an estimate.
How gaze is placed on real objects in a room, and what a world model has to contain for that to work.
Seven questions that decide which wearable eye tracker fits a study, including the cases where the answer points elsewhere.