ML Anthology

Using Eye Region Biometrics to Reveal Affective and Cognitive States

Ric Heishman, Zoran Duric, Harry Wechsler
CVPRW 2004 pp. 69
doi:10.1109/CVPR.2004.472 /cvprw/2004/heishman2004cvprw-using/

Abstract

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.

CVPRW Semantic Scholar

Cite

Text

Heishman et al. "Using Eye Region Biometrics to Reveal Affective and Cognitive States." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2004. doi:10.1109/CVPR.2004.472

Markdown

[Heishman et al. "Using Eye Region Biometrics to Reveal Affective and Cognitive States." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2004.](https://mlanthology.org/cvprw/2004/heishman2004cvprw-using/) doi:10.1109/CVPR.2004.472

BibTeX

@inproceedings{heishman2004cvprw-using,
  title     = {{Using Eye Region Biometrics to Reveal Affective and Cognitive States}},
  author    = {Heishman, Ric and Duric, Zoran and Wechsler, Harry},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2004},
  pages     = {69},
  doi       = {10.1109/CVPR.2004.472},
  url       = {https://mlanthology.org/cvprw/2004/heishman2004cvprw-using/}
}