Paper Info
Title
Mining of Eye Movement Data to Discover People Intentions.
Abstract
The process of face recognition is a subject of the research in this paper. 1430 recordings of participants eye movements while they were observing faces were analyzed statistically and various data mining techniques were used to extract information from eye movements signal. One of the findings is that the process of face recognition is different for different subjects and therefore formulating general rules for face recognition process may be difficult. The hypothesis was that it is possible to analyze eye movements signal to predict if the subject observing the face recognizes it. A model that automatically differentiates observations of recognized and unrecognized faces was built and the results are encouraging. One of the contributions of the paper is a conclusion that the optimal set of attributes of eye movement signal for such classification is individually specific and different for different people.
Year
DOI
Venue
2014
10.1007/978-3-319-06932-6_34
Communications in Computer and Information Science
Keywords
Field
DocType
eye movement,face recognition,data mining
Computer vision,Facial recognition system,Computer science,Human–computer interaction,Eye movement,Artificial intelligence
Conference
Volume
ISSN
Citations 
424
1865-0929
4
PageRank 
References 
Authors
0.44
10
1
Name
Order
Citations
PageRank
Pawel Kasprowski17612.99