Introduction to the theory of neural computation
Introduction to the theory of neural computation
A neural network based real-time gaze tracker
Journal of Network and Computer Applications
Error characterization and compensation in eye tracking systems
Proceedings of the Symposium on Eye Tracking Research and Applications
Designing a game controller for motor impaired players
Proceedings of the 10th Brazilian Symposium on on Human Factors in Computing Systems and the 5th Latin American Conference on Human-Computer Interaction
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The central aim of this study is to develop an adaptive real-time eye-gaze tracking (EGT) system that serves as an assistive tool for persons with motor challenges access computers with optimal practicality. The novelty of the proposed method is that it adapts to the different and changing jitter characteristics of each specific user, through the configuration and training of an artificial neural network (ANN). A profile, generated for each user by the ANN through a one-time short training session, comes to reinforce the stability of mouse-cursor movements. The user profile, which can be fine-tuned with additional training, and the methods for training are embedded in the proposed system. The results using 9 subjects show an average jitter reduction of 36% in test 1 which is to follow a moving target, and 53% for following the contour of a square, which resulted in eye-gaze displacements that are significantly smoother.