Self-organizing adaptation for facial emotion mapping

Siu Yeung Cho; Yok Yen Nguwi

Self-organizing adaptation for facial emotion mapping

Siu Yeung Cho, Yok Yen Nguwi

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

3 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 language	English
Title of host publication	Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007
Publisher	CSREA Press
Pages	132-137
Number of pages	6
ISBN (Print)	9781601320254
Publication status	Published - 2007
Externally published	Yes
Event	2007 International Conference on Artificial Intelligence, ICAI 2007 - Las Vegas, NV, United States Duration: 25 Jun 2007 → 28 Jun 2007

Publication series

Name	Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007
Volume	1

Conference

Conference	2007 International Conference on Artificial Intelligence, ICAI 2007
Country/Territory	United States
City	Las Vegas, NV
Period	25/06/07 → 28/06/07

Keywords

Face emotion recognition
Gabor feature extraction
Self organizing map

ASJC Scopus subject areas

Artificial Intelligence

Cite this

@inproceedings{6a4b26e0918e4bb691e3891cb20032f0,

title = "Self-organizing adaptation for facial emotion mapping",

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.",

keywords = "Face emotion recognition, Gabor feature extraction, Self organizing map",

author = "Cho, \{Siu Yeung\} and Nguwi, \{Yok Yen\}",

year = "2007",

language = "English",

isbn = "9781601320254",

series = "Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007",

publisher = "CSREA Press",

pages = "132--137",

booktitle = "Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007",

}

Cho, SY & Nguwi, YY 2007, Self-organizing adaptation for facial emotion mapping. in Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007. Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, vol. 1, CSREA Press, pp. 132-137, 2007 International Conference on Artificial Intelligence, ICAI 2007, Las Vegas, NV, United States, 25/06/07.

Self-organizing adaptation for facial emotion mapping. / Cho, Siu Yeung; Nguwi, Yok Yen.
Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007. CSREA Press, 2007. p. 132-137 (Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007; Vol. 1).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Self-organizing adaptation for facial emotion mapping

AU - Cho, Siu Yeung

AU - Nguwi, Yok Yen

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Face emotion recognition

KW - Gabor feature extraction

KW - Self organizing map

UR - https://www.scopus.com/pages/publications/84866498924

M3 - Conference contribution

AN - SCOPUS:84866498924

SN - 9781601320254

T3 - Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007

SP - 132

EP - 137

BT - Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007

PB - CSREA Press

T2 - 2007 International Conference on Artificial Intelligence, ICAI 2007

Y2 - 25 June 2007 through 28 June 2007

ER -

Self-organizing adaptation for facial emotion mapping

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this