Activity Number:
|
21
|
Type:
|
Topic Contributed
|
Date/Time:
|
Sunday, July 31, 2016 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Statistical Computing
|
Abstract #319419
|
|
Title:
|
Nonparametric Signal Procession of Space-Time Trajectory Data: Algorithm for Eye Movement Pattern Recognition
|
Author(s):
|
Shinjini Nandi* and Subhadeep Mukhopadhyay
|
Companies:
|
Temple University and Temple University Fox School of Business
|
Keywords:
|
LP Transformation ;
LP comoments ;
LP moments ;
Non-Gaussian nonlinear modeling ;
Nonparametric copula density modeling ;
Eye movement trajectory
|
Abstract:
|
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.
|
Authors who are presenting talks have a * after their name.