| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4970347 | Pattern Recognition Letters | 2016 | 9 Pages |
Abstract
The second part investigates two of the main purchasing scenarios: the routine and the impulse purchasing. To reach this goal, we extract relevant eye-tracking descriptors. We use a supervised learning algorithm (SVM), to build the model and reach performances of 74% of good identification.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Djamal Merad, Pierre Drap, Yannick Lufimpu-Luviya, Rabah Iguernaissi, Bernard Fertil,