
Computer Science
Detection of eye contact with deep neural networks is as accurate as human experts
E. Chong, E. Clark-whitney, et al.
Discover a groundbreaking deep neural network model that automatically detects eye contact in egocentric video, achieving accuracy on par with human experts. This innovative research, conducted by Eunji Chong, Elysha Clark-Whitney, Audrey Southerland, Elizabeth Stubbs, Chanel Miller, Eliana L. Ajodan, Melanie R. Silverman, Catherine Lord, Agata Rozga, Rebecca M. Jones, and James M. Rehg, showcases precision and recall rates that could transform gaze behavior analysis in clinical and research contexts.
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