Various facial region biometrics have been used extensively in the areas of recognition and authentication. However, some regions of the face provide more information than is currently being fully utilized in these specific capacities. Biometrics associated exclusively with the eye region hold a key to identifying and classifying particular affective and cognitive states. This paper focuses on 1) methods for identifying and deriving the appropriate biometric data inherent to the eye region that is most useful in specific HCI scenarios and, 2) outlining a framework for classification of these biometric data into affective and cognitive states relative to a particular HCI context.
['Ric Heishman', 'Zoran Duric', 'Harry Wechsler']
Using Eye Region Biometrics to Reveal Affective and Cognitive States