Self-organizing adaptation for facial emotion mapping

Cho, Siu-Yeung, and Nguwi, Yok-Yen (2007) Self-organizing adaptation for facial emotion mapping. In: Proceedings of the International Conference on Artificial Intelligence, pp. 1-6. From: ICAI'07: 2007 International Conference on Artificial Intelligence, 25-28 June 2007, Las Vegas, NV, USA.

[img]
Preview
PDF (Accepted Version) - Accepted Version
Download (315Kb)
[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://www.worldacademyofscience.org/wor...

Abstract

This paper presents an emotion mapping system that attempts to emulate human brain reference model. The system first locates the human face in an image, and then identifies the localized face emotion. The understanding of cognitive system is presented in the paper. It highlights how individual module is mapped to the proposed system. Then, single- and multi-layer self-organizing emotion maps are described. The system is evaluated through various test sets. The experimental results show encouraging hit rates for identifying emotions of unknown subjects.

Item ID: 22740
Item Type: Conference Item (Refereed Research Paper - E1)
Date Deposited: 05 Nov 2012 23:26
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
Downloads: Total: 15
Last 12 Months: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page