Facial emotion recognition by adaptive processing of tree structures

Jia Jun Wong; Siu Yeung Cho

doi:10.1145/1141277.1141282

Facial emotion recognition by adaptive processing of tree structures

Jia Jun Wong, Siu Yeung Cho

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

6 Citations (Scopus)

Abstract

We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor features related to the facial components according to the Facial Action Coding System. The proposed model is an extension of the probabilistic based recursive neural network model applying in face recognition by Cho and Wong [1]. The robustness of the model in an emotion recognition system is evaluated by testing with known and unknown subjects with different emotions. The experiment results shows that the proposed model significantly improved the recognition rate in terms of generalization.

Original language	English
Title of host publication	Applied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing
Publisher	Association for Computing Machinery
Pages	23-30
Number of pages	8
ISBN (Print)	1595931082, 9781595931085
DOIs	https://doi.org/10.1145/1141277.1141282
Publication status	Published - 2006
Externally published	Yes
Event	2006 ACM Symposium on Applied Computing - Dijon, France Duration: 23 Apr 2006 → 27 Apr 2006

Publication series

Name	Proceedings of the ACM Symposium on Applied Computing
Volume	1

Conference

Conference	2006 ACM Symposium on Applied Computing
Country/Territory	France
City	Dijon
Period	23/04/06 → 27/04/06

Keywords

Facial emotion tree structures
Neural networks
Probabilistic based neural networks
Tree structures

ASJC Scopus subject areas

Software

Access to Document

10.1145/1141277.1141282

Cite this

Wong, J. J., & Cho, S. Y. (2006). Facial emotion recognition by adaptive processing of tree structures. In Applied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing (pp. 23-30). (Proceedings of the ACM Symposium on Applied Computing; Vol. 1). Association for Computing Machinery. https://doi.org/10.1145/1141277.1141282

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title = "Facial emotion recognition by adaptive processing of tree structures",

abstract = "We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor features related to the facial components according to the Facial Action Coding System. The proposed model is an extension of the probabilistic based recursive neural network model applying in face recognition by Cho and Wong [1]. The robustness of the model in an emotion recognition system is evaluated by testing with known and unknown subjects with different emotions. The experiment results shows that the proposed model significantly improved the recognition rate in terms of generalization.",

keywords = "Facial emotion tree structures, Neural networks, Probabilistic based neural networks, Tree structures",

author = "Wong, {Jia Jun} and Cho, {Siu Yeung}",

year = "2006",

doi = "10.1145/1141277.1141282",

language = "English",

isbn = "1595931082",

series = "Proceedings of the ACM Symposium on Applied Computing",

publisher = "Association for Computing Machinery",

pages = "23--30",

booktitle = "Applied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing",

}

Wong, JJ & Cho, SY 2006, Facial emotion recognition by adaptive processing of tree structures. in Applied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing. Proceedings of the ACM Symposium on Applied Computing, vol. 1, Association for Computing Machinery, pp. 23-30, 2006 ACM Symposium on Applied Computing, Dijon, France, 23/04/06. https://doi.org/10.1145/1141277.1141282

Facial emotion recognition by adaptive processing of tree structures. / Wong, Jia Jun; Cho, Siu Yeung.
Applied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing. Association for Computing Machinery, 2006. p. 23-30 (Proceedings of the ACM Symposium on Applied Computing; Vol. 1).

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

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AU - Cho, Siu Yeung

PY - 2006

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N2 - We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor features related to the facial components according to the Facial Action Coding System. The proposed model is an extension of the probabilistic based recursive neural network model applying in face recognition by Cho and Wong [1]. The robustness of the model in an emotion recognition system is evaluated by testing with known and unknown subjects with different emotions. The experiment results shows that the proposed model significantly improved the recognition rate in terms of generalization.

AB - We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor features related to the facial components according to the Facial Action Coding System. The proposed model is an extension of the probabilistic based recursive neural network model applying in face recognition by Cho and Wong [1]. The robustness of the model in an emotion recognition system is evaluated by testing with known and unknown subjects with different emotions. The experiment results shows that the proposed model significantly improved the recognition rate in terms of generalization.

KW - Facial emotion tree structures

KW - Neural networks

KW - Probabilistic based neural networks

KW - Tree structures

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M3 - Conference contribution

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SN - 1595931082

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T3 - Proceedings of the ACM Symposium on Applied Computing

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EP - 30

BT - Applied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing

PB - Association for Computing Machinery

T2 - 2006 ACM Symposium on Applied Computing

Y2 - 23 April 2006 through 27 April 2006

ER -

Facial emotion recognition by adaptive processing of tree structures

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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