We describe an open-source software framework that simulates the measurements made using one or several cameras in a videooculographic eye tracker. The framework can be used to compare objectively the performance of different eye tracking setups (number and placement of cameras and light sources) and gaze estimation algorithms. We demonstrate the utility of the framework by using it to compare two remote eye tracking methods, one using a single camera, the other using two cameras.

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