Real-time human–computer interface based on eye gaze estimation from low-quality webcam images: integration of convolutional neural networks, calibration, and transfer learning.

Eye gaze estimation represents a well-established research domain within computer vision. It has a wide range of practical applications in numerous fields, including human–computer interaction (HCI) for cursor control, health care, and virtual reality, enhancing its suitability for adoption througho...

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Bibliographic Details

Published in:	Digital Scholarship in the Humanities Vol. 40; no. 1; pp. 64 - 75
Main Authors:	Chhimpa, Govind R, Kumar, Ajay, Garhwal, Sunita, Kumar, Dhiraj
Format:	Article
Published:	Oxford University Press / USA Apr2025
Subjects:	Convolutional neural networks Computer vision Eye tracking Geometric modeling Webcams Virtual reality
Online Access:	View this record in EBSCOhost