Use this url to cite publication: https://hdl.handle.net/20.500.12259/38678
Two predictive models for identification of human responses to virtual 3D face stimuli
Type of publication
Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)
Title
Two predictive models for identification of human responses to virtual 3D face stimuli
Is part of
ECT-2014 : Electrical and control technologies : proceedings of the 9th international conference on electrical and control technologies, May 8-9, 2014, Kaunas, Lithuania. Kaunas : Technologija, 2014, no. 9
Date Issued
| Date |
|---|
2014 |
Publisher
Kaunas : Technologija
Extent
p. 78-83
Abstract (en)
This paper introduces a comparison of two one step predictive models that were used to model the relationship between human emotional signals – excitement and frustration – and three virtual 3D face features – distance between eyes, nose width, and chin width. Two volunteers’ data werezas used for the comparison. Two input-output model building methods are proposed that allow building stable models with the least output prediction error. Validation results of the models demonstrate relatively high prediction accuracy of human reactions and both models produce similar prediction accuracy.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISSN (of the container)
1822-5934
Other Identifier(s)
VDU02-000015361