EyeSee3D 2.0: model-based real-time analysis of mobile eye-tracking in
static and dynamic three-dimensional scenes
Multimodal gaze
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Pfeiffer, Thies
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Renner, Patrick
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Pfeiffer-Leßmann, Nadine
Proceedings of the 2016 Symposium on Eye Tracking Research &
Applications
2016-03-14
p.189-196
© Copyright 2016 ACM
Summary: With the launch of ultra-portable systems, mobile eye tracking finally has
the potential to become mainstream. While eye movements on their own can
already be used to identify human activities, such as reading or walking,
linking eye movements to objects in the environment provides even deeper
insights into human cognitive processing.
We present a model-based approach for the identification of fixated objects
in three-dimensional environments. For evaluation, we compare the automatic
labelling of fixations with those performed by human annotators. In addition to
that, we show how the approach can be extended to support moving targets, such
as individual limbs or faces of human interaction partners. The approach also
scales to studies using multiple mobile eye-tracking systems in parallel.
The developed system supports real-time attentive systems that make use of
eye tracking as means for indirect or direct human-computer interaction as well
as off-line analysis for basic research purposes and usability studies.
