Paper Info
Title
A System for Non-contact Estimation of Cognitive Load Using Saccadic Parameters based on a Serio-Parallel Computing Framework
Abstract
This paper proposes a system which uses a three-stage serio-parallel video-oculographic framework for computing the saccadic eye parameters to indicate the amount of cognitive loading. The three stages are <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">viz.,</italic> face and eye detection, iris and eye corner localization, and finally saccadic parameter computation. Since saccades are fast movements of the eyeballs, accurate estimation of these parameters requires high frame rates of acquisition and processing. Our proposed framework meets such deadlines by accelerating the process using graphics processing units (GPUs). The first stage comprises the face and eye detection using the respective Haar classifiers followed by tracking of a region of interest using a minimum output sum of squared error filter. In the second stage, the filter parameters are transferred to the GPU, where our proposed parallel scheme is implemented. In the detected eye region, the iris candidates are ranked using a sum of dot products of normalized displacement vectors with gradient vectors. We also localize the eye corners as the reference points. The saccadic velocity and duration are obtained using this eye position signal in the third stage. Finally, the amount of cognitive loading is determined based on these parameters.
Year
DOI
Venue
2019
10.1109/tcds.2019.2901024
IEEE Transactions on Cognitive and Developmental Systems
Keywords
Field
DocType
Iris recognition,Loading,Face,Lighting,Iris,Face detection,Graphics processing units
Iris recognition,Computer vision,Computer science,Mean squared error,Artificial intelligence,Frame rate,Face detection,Region of interest,Dot product,Saccadic masking,Machine learning,Computation
Journal
Volume
Issue
ISSN
11
3
2379-8920
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Anirban Dasgupta1142.44
Som Madhab Bhattacharya200.34
Aurobinda Routray333752.80