Paper Info
Title
Identity Recognition through Human Gaze Tracking
Abstract
The paper describes a system for the human machine interaction that is able to identify users according how she looks at the monitor while using a given interface. The system does not need invasive measurements that could limit the naturalness of her actions and detects the eyes movement from the estimation provided by a kinect camera. The proposed approach clusters the sequences of user gaze on the screen characterizing the user identity according the particular pattern his/her gaze follows. The possibility of identify people through gaze movement introduces a new perspective on human-machine interaction. For example, a user can obtain different contents according his recorded preferences and a software can modify its interface to meet the preferences of a given user.
Year
DOI
Venue
2013
10.1109/SITIS.2013.39
SITIS
Keywords
Field
DocType
different content,human-machine interaction,new perspective,human machine interaction,user identity,particular pattern,proposed approach cluster,identity recognition,invasive measurement,eyes movement,human gaze tracking,kinect camera,iris recognition,user interfaces
Kernel (linear algebra),Computer vision,Iris recognition,Gaze,Computer science,Naturalness,Software,Artificial intelligence,Mean-shift,User interface,Cluster analysis
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Ignazio Infantino115132.13
Giuseppe Scardino251.16
Filippo Vella313825.37