Gaze-based Online Face Learning and Recognition in Augmented Reality


We propose a new online face learning and recognition approach using user gaze and augmented displays. User gaze is used to select a face in focus in a scene image whereupon visual feedback and information about the detected person is presented in a head mounted display. Our specific medical application leverages the doctor's capabilities of recalling the specific patient context.

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BBAC home page.

  • Bbn Raytheon, Technologies
  • 2013
Highly Influential
4 Excerpts

me: A new approach to conducting human-robot interaction studies through crowdsourcing

  • R Toris, D Kent, S Chernova, Robotsfor
  • 2013
Highly Influential
5 Excerpts