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Activity Number:
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21
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 31, 2016 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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Abstract #319419
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Title:
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Nonparametric Signal Procession of Space-Time Trajectory Data: Algorithm for Eye Movement Pattern Recognition
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Author(s):
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Shinjini Nandi* and Subhadeep Mukhopadhyay
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Companies:
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Temple University and Temple University Fox School of Business
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Keywords:
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LP Transformation ;
LP comoments ;
LP moments ;
Non-Gaussian nonlinear modeling ;
Nonparametric copula density modeling ;
Eye movement trajectory
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Abstract:
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A nonparametric statistical learning framework, LPiTrack is introduced for large-scale eye-movement pattern discovery. The foundation of our data compression scheme is based on a new Karhunen-Loeve-type representation of stochastic process in Hilbert space by specially designed orthonormal polynomial expansion.We apply this novel nonlinear transformation based statistical data processing algorithm to extract temporal-spatial-static characteristics from trajectory data in an automated robust way for biometric authentication. This is applied for designing next-generation gaze-based biometric identification system.
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Authors who are presenting talks have a * after their name.
