Journal article
A Neural Network Approach to Tracking Eye Position
International journal of human-computer interaction, Vol.9(1), pp.59-79
03/01/1997
DOI: 10.1207/s15327590ijhc0901_4
Abstract
The design of a neural network based eye tracker is presented. A series of experiments with counterpropagation neural networks convert synthetic video images into eye coordinates by an enhanced feed-forward neural network with multiple winning hidden layer nodes. Difficulties encountered during the design process are discussed. The results show that accurate, fine-grained tracking of a human's eye position is possible by processing the video image collected from a goggle-mounted miniature charge-coupled device (CCD) camera.
Details
- Title: Subtitle
- A Neural Network Approach to Tracking Eye Position
- Creators
- Bryn WolfeDavid Eichmann
- Resource Type
- Journal article
- Publication Details
- International journal of human-computer interaction, Vol.9(1), pp.59-79
- Publisher
- Lawrence Erlbaum Associates, Inc
- DOI
- 10.1207/s15327590ijhc0901_4
- ISSN
- 1044-7318
- eISSN
- 1532-7590
- Language
- English
- Date published
- 03/01/1997
- Academic Unit
- Library and Information Science
- Record Identifier
- 9984003006302771
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