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Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces.
- Source :
- Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments; 2007, p679-689, 11p
- Publication Year :
- 2007
-
Abstract
- In this paper, we design an Attention Focus Kalman Filter (AFKF) - a framework that offers interaction capabilities by constructing an eye-movement language, provides real-time perceptual compression through Human Visual System (HVS) modeling, and improves system's reliability. These goals are achieved by an AFKF through identification of basic eye-movement types in real-time, the prediction of a user's perceptual attention focus, and the use of the eye's visual sensitivity function and eye-position data signal de-noising. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540731085
- Database :
- Supplemental Index
- Journal :
- Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments
- Publication Type :
- Book
- Accession number :
- 33196471
- Full Text :
- https://doi.org/10.1007/978-3-540-73110-8_74