Self-organizing adaptation for facial emotion mapping

Siu Yeung Cho, Yok Yen Nguwi

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007
Pages132-137
Number of pages6
Publication statusPublished - 2007
Externally publishedYes
Event2007 International Conference on Artificial Intelligence, ICAI 2007 - Las Vegas, NV, United States
Duration: 25 Jun 200728 Jun 2007

Publication series

NameProceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007
Volume1

Conference

Conference2007 International Conference on Artificial Intelligence, ICAI 2007
Country/TerritoryUnited States
CityLas Vegas, NV
Period25/06/0728/06/07

Keywords

  • Face emotion recognition
  • Gabor feature extraction
  • Self organizing map

ASJC Scopus subject areas

  • Artificial Intelligence

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