Crowdsourcing Gaze Data Collection

  title={Crowdsourcing Gaze Data Collection},
  author={Dmitry Rudoy and Dan B. Goldman and Eli Shechtman and Lihi Zelnik-Manor},
Knowing where people look is a useful tool in many various image and video applications. However, traditional gaze tracking hardware is expensive and requires local study participants, so acquiring gaze location data from a large number of participants is very problematic. In this work we propose a crowdsourced method for acquisition of gaze direction data from a virtually unlimited number of participants, using a robust selfreporting mechanism (see Figure 1). Our system collects temporally… CONTINUE READING
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