NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision
  Interaction
Thorsten Hempel Magnus Jung Ahmed A. Abdelrahman Ayoub Al-Hamadi
Eye contact is a crucial non-verbal interaction modality and plays an
important role in our everyday social life. While humans are very sensitive to
eye contact, the capabilities of machines to capture a person's gaze are still
mediocre. We tackle this challenge and present NITEC, a hand-annotated eye
contact dataset for ego-vision interaction. NITEC exceeds existing datasets for
ego-vision eye contact in size and variety of demographics, social contexts,
and lighting conditions, making it a valuable resource for advancing
ego-vision-based eye contact research. Our extensive evaluations on NITEC
demonstrate strong cross-dataset performance, emphasizing its effectiveness and
adaptability in various scenarios, that allows seamless utilization to the
fields of computer vision, human-computer interaction, and social robotics. We
make our NITEC dataset publicly available to foster reproducibility and further
exploration in the field of ego-vision interaction.
https://github.com/thohemp/nitec