Eye movement synthesis
Andrew T. Duchowski, Sophie Jörg, Tyler Allen, Ioannis Giannopoulos, Krzysztof Krejtz · 2016
A convolution-filtering technique is introduced for the synthesis of eye gaze data. Its purpose is to produce, in a controlled manner, a synthetic stream of raw gaze position coordinates, suitable for: (1) testing event detection filters, and (2) rendering synthetic eye movement animations for testing eye tracking gaze estimation algorithms. Synthetic gaze data is parameterized by sampling rate, microsaccadic jitter, and simulated measurement error. Sampled synthetic gaze data is compared against real data captured by an eye tracker showing similar signal characteristics.