Are You Really Looking at Me? A Feature-Extraction Framework for Estimating Interpersonal Eye Gaze From Conventional Video

@article{Tran2022AreYR,
  title={Are You Really Looking at Me? A Feature-Extraction Framework for Estimating Interpersonal Eye Gaze From Conventional Video},
  author={Minh Tran and Taylan K. Sen and Kurtis Glenn Haut and Mohammad Rafayet Ali and Ehsan Hoque},
  journal={IEEE Transactions on Affective Computing},
  year={2022},
  volume={13},
  pages={912-925}
}
Despite a revolution in the pervasiveness of video cameras in our daily lives, one of the most meaningful forms of nonverbal affective communication, interpersonal eye gaze, i.e., eye gaze relative to a conversation partner, is not available from common video. We introduce the Interpersonal-Calibrating Eye-gaze Encoder (ICE), which automatically extracts interpersonal gaze from video recordings without specialized hardware and without prior knowledge of participant locations. Leveraging the… 

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