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- Title
LPiTrack: Eye movement pattern recognition algorithm and application to biometric identification.
- Authors
Mukhopadhyay, Subhadeep; Nandi, Shinjini
- Abstract
A comprehensive nonparametric statistical learning framework, called LPiTrack, is introduced for large-scale eye-movement pattern discovery. The foundation of our data-compression scheme is based on a new Karhunen-Loéve-type representation of the stochastic process in Hilbert space by specially designed orthonormal polynomial expansions. We apply this novel nonlinear transformation-based statistical data-processing algorithm to extract temporal-spatial-static characteristics from eye-movement trajectory data in an automated, robust way for biometric authentication. This is a significant step towards designing a next-generation gaze-based biometric identification system. We elucidate the essential components of our algorithm through data from the second Eye Movements Verification and Identification Competition, organized as a part of the 2014 International Joint Conference on Biometrics.
- Subjects
PATTERN recognition systems; BIOMETRIC identification; COMPUTER algorithms; DATA compression; NONLINEAR analysis; QUANTITATIVE research
- Publication
Machine Learning, 2018, Vol 107, Issue 2, p313
- ISSN
0885-6125
- Publication type
Article
- DOI
10.1007/s10994-017-5649-1