Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4969192 | Information Fusion | 2017 | 7 Pages |
Abstract
 The above results show that it is possible to create a classifier for web user click intention behaviour based on merging features extracted from pupil dilation and EEG responses. However we conclude that it is necessary to use better quality instruments for capturing the data.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Gino Slanzi, Jorge A. Balazs, Juan D. Velásquez,