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Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
[article]
2021
arXiv
pre-print
Due to the recent outbreak of COVID-19, many classes, exams, and meetings have been conducted non-face-to-face. However, the foundation for video conferencing solutions is still insufficient. So this technology has become an important issue. In particular, these technologies are essential for non-face-to-face testing, and technology dissemination is urgent. In this paper, we present a single video conferencing solution using gaze estimation in preparation for these problems. Gaze is an
arXiv:2107.06530v1
fatcat:5d5xvczlcnartfxsr2j54l2nui