| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 712696 | IFAC Proceedings Volumes | 2013 | 8 Pages |
Abstract
In this paper, the Human Cognitive State (HCS) in the context of human and complex system interaction was classified by using the Fuzzy C-Means (FCM) algorithm. The most important features for the HCS pattern classification were extracted from a set of measured physiological variables based on the comparison of their respective rates of correct classification. The results have shown the usefulness of the FCM algorithm as well as the selected features for the challenging HCS classification problem.
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