Real-time gaze detection via neural network

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

Human gaze can provide important information in man machine interaction. To overcome the disadvantages of previous gaze detecting researches, we propose a new method with a wide and an auto panning/tilting/focusing narrow view camera. In order to enhance the performance of detecting facial features, we use a SVM (Support Vector Machine) and the eye gaze position on a monitor is computed by a multi-layered perceptron.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsNikhil R. Pal, Srimanta Pal, Nikola Kasabov, Rajani K. Mudi, Swapan K. Parui
PublisherSpringer Verlag
Pages673-678
Number of pages6
ISBN (Print)3540239316, 9783540239314
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3316
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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