A gaze tracking system, based on a novel neural approach, is proposed. The work is part of a wider research project concerning the development of human computer interfaces (HCI) addressed to disabled people, that could overcome the drawbacks of most of the existing methods for gaze tracking that require either intrusive devices or expensive equipment. This work, instead, aims at developing a low cost, completely non-intrusive and self-calibrating system which combines different techniques for three blocks in Eye Gaze Tracking, i.e. blink detection, feature extraction and neural computing. The experimental results show good accuracy in eye gaze tracking (rmse < 1 degree), and adequate generalization performance (rmse < 2 degrees).
Torricelli, D., Goffredo, M., Conforto, S., Schmid, M., Dalessio, T. (2006). A novel neural eye gaze tracker. In Proceedings of the 2nd International Workshop on Biosignal Processing and Classification, BPC 2006, in Conjunction with ICINCO 2006 (pp.86-95).
A novel neural eye gaze tracker
GOFFREDO M;CONFORTO, SILVIA;SCHMID, Maurizio;
2006-01-01
Abstract
A gaze tracking system, based on a novel neural approach, is proposed. The work is part of a wider research project concerning the development of human computer interfaces (HCI) addressed to disabled people, that could overcome the drawbacks of most of the existing methods for gaze tracking that require either intrusive devices or expensive equipment. This work, instead, aims at developing a low cost, completely non-intrusive and self-calibrating system which combines different techniques for three blocks in Eye Gaze Tracking, i.e. blink detection, feature extraction and neural computing. The experimental results show good accuracy in eye gaze tracking (rmse < 1 degree), and adequate generalization performance (rmse < 2 degrees).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.