@InProceedings{10.20532/ccvw.2016.0001,
  author =       {Petric, Frano and Mikli{\' c}, Damjan and Kova{\v
                  c}i{\' c}, Zdenko},
  title =        {Probabilistic Eye Contact Detection for the
                  Robot-assisted ASD Diagnostic Protocol},
  booktitle =    {Proceedings of the Croatian Compter Vision Workshop,
                  Year 4},
  pages =        {3-8},
  year =         2016,
  editor =       {Lon{\v c}ari{\' c}, Sven and Cupec, Robert},
  address =      {Osijek},
  month =        {October},
  organization = {Center of Excellence for Computer Vision},
  publisher =    {University of Zagreb},
  abstract =     {This paper describes a probabilistic method for eye
                  contact detection, aimed at facilitating the
                  diagnostic process of Autism Spectrum Disorder
                  (ASD). Eye contact, which is a special case of a
                  wider social-attention cue called gaze, plays a
                  major role in ASD diagnostics protocols used in
                  clinical practice. Therefore, a reliable method for
                  automatic eye contact detection is a key capability
                  to open the way towards robot-assisted autism
                  diagnostics, which has the potential to reduce
                  diagnostic time and increase reliability. The
                  proposed method uses data from a simple
                  low-resolution monocular camera, which is built into
                  the NAO humanoid robot, and uses head pose and gaze
                  direction as its inputs, which are very prone to
                  outliers. We use a probabilistic framework in order
                  to provide continuous measure of the eye contact and
                  increase robustness to outliers. Furthermore, we
                  take into account the temporal aspect of eye
                  contact, in order to discard short glances which do
                  not indicate actual transfer of attention. Initial
                  experimental results, conducted in a laboratory
                  setting, confirm that the proposed method can be
                  effective in detecting eye contact with the NAO
                  humanoid robot.},
  doi =          {10.20532/ccvw.2016.0001},
  url =          {https://doi.org/10.20532/ccvw.2016.0001}
}