Beihang university facial expression database and multiple facial expression recognition

Yu Li Xue; Xia Mao; Fan Zhang

doi:10.1109/ICMLC.2006.258460

Beihang university facial expression database and multiple facial expression recognition

Yu Li Xue^*
, Xia Mao
, Fan Zhang

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University

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

32 Scopus citations

Abstract

Over the last decade, significant effort has been made in developing methods of facial expression analysis. Because of the limited data sets of facial expressions, comprehensive emotional facial expression recognition that is essential in the areas such as affective computing and human-machine interaction has not been well studied. This paper provides the Beihang University Facial Expression Database, which includes 25 facial expressions (18 pure facial expressions, 3 mixed facial expressions and 4 complex facial expressions) and provides data of many unique emotional facial expressions not appeared in other face databases. The questionnaire investigation of videos of 18 pure facial expressions shows the effectiveness of the data. Facial expression recognition experiment on 9 pure facial expressions demonstrates the feasibility of multiple facial expression recognition.

Original language	English
Title of host publication	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Pages	3282-3287
Number of pages	6
DOIs	https://doi.org/10.1109/ICMLC.2006.258460
State	Published - 2006
Event	2006 International Conference on Machine Learning and Cybernetics - Dalian, China Duration: 13 Aug 2006 → 16 Aug 2006

Publication series

Name	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume	2006

Conference

Conference	2006 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Dalian
Period	13/08/06 → 16/08/06

Keywords

Affective computing
Facial expression database
Facial expression recognition
Human-machine interaction

Access to Document

10.1109/ICMLC.2006.258460

Cite this

Xue, Y. L., Mao, X., & Zhang, F. (2006). Beihang university facial expression database and multiple facial expression recognition. In Proceedings of the 2006 International Conference on Machine Learning and Cybernetics (pp. 3282-3287). Article 4028633 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006). https://doi.org/10.1109/ICMLC.2006.258460

@inproceedings{aeaf1535c5454341a7f2f9925f575e2a,

title = "Beihang university facial expression database and multiple facial expression recognition",

abstract = "Over the last decade, significant effort has been made in developing methods of facial expression analysis. Because of the limited data sets of facial expressions, comprehensive emotional facial expression recognition that is essential in the areas such as affective computing and human-machine interaction has not been well studied. This paper provides the Beihang University Facial Expression Database, which includes 25 facial expressions (18 pure facial expressions, 3 mixed facial expressions and 4 complex facial expressions) and provides data of many unique emotional facial expressions not appeared in other face databases. The questionnaire investigation of videos of 18 pure facial expressions shows the effectiveness of the data. Facial expression recognition experiment on 9 pure facial expressions demonstrates the feasibility of multiple facial expression recognition.",

keywords = "Affective computing, Facial expression database, Facial expression recognition, Human-machine interaction",

author = "Xue, \{Yu Li\} and Xia Mao and Fan Zhang",

year = "2006",

doi = "10.1109/ICMLC.2006.258460",

language = "英语",

isbn = "1424400619",

series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

pages = "3282--3287",

booktitle = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

note = "2006 International Conference on Machine Learning and Cybernetics ; Conference date: 13-08-2006 Through 16-08-2006",

}

Xue, YL, Mao, X & Zhang, F 2006, Beihang university facial expression database and multiple facial expression recognition. in Proceedings of the 2006 International Conference on Machine Learning and Cybernetics., 4028633, Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, vol. 2006, pp. 3282-3287, 2006 International Conference on Machine Learning and Cybernetics, Dalian, China, 13/08/06. https://doi.org/10.1109/ICMLC.2006.258460

Beihang university facial expression database and multiple facial expression recognition. / Xue, Yu Li; Mao, Xia; Zhang, Fan.
Proceedings of the 2006 International Conference on Machine Learning and Cybernetics. 2006. p. 3282-3287 4028633 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006).

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

TY - GEN

T1 - Beihang university facial expression database and multiple facial expression recognition

AU - Xue, Yu Li

AU - Mao, Xia

AU - Zhang, Fan

PY - 2006

Y1 - 2006

N2 - Over the last decade, significant effort has been made in developing methods of facial expression analysis. Because of the limited data sets of facial expressions, comprehensive emotional facial expression recognition that is essential in the areas such as affective computing and human-machine interaction has not been well studied. This paper provides the Beihang University Facial Expression Database, which includes 25 facial expressions (18 pure facial expressions, 3 mixed facial expressions and 4 complex facial expressions) and provides data of many unique emotional facial expressions not appeared in other face databases. The questionnaire investigation of videos of 18 pure facial expressions shows the effectiveness of the data. Facial expression recognition experiment on 9 pure facial expressions demonstrates the feasibility of multiple facial expression recognition.

AB - Over the last decade, significant effort has been made in developing methods of facial expression analysis. Because of the limited data sets of facial expressions, comprehensive emotional facial expression recognition that is essential in the areas such as affective computing and human-machine interaction has not been well studied. This paper provides the Beihang University Facial Expression Database, which includes 25 facial expressions (18 pure facial expressions, 3 mixed facial expressions and 4 complex facial expressions) and provides data of many unique emotional facial expressions not appeared in other face databases. The questionnaire investigation of videos of 18 pure facial expressions shows the effectiveness of the data. Facial expression recognition experiment on 9 pure facial expressions demonstrates the feasibility of multiple facial expression recognition.

KW - Affective computing

KW - Facial expression database

KW - Facial expression recognition

KW - Human-machine interaction

UR - https://www.scopus.com/pages/publications/33947194920

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DO - 10.1109/ICMLC.2006.258460

M3 - 会议稿件

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SN - 1424400619

SN - 9781424400614

T3 - Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

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EP - 3287

BT - Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

T2 - 2006 International Conference on Machine Learning and Cybernetics

Y2 - 13 August 2006 through 16 August 2006

ER -

Beihang university facial expression database and multiple facial expression recognition

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Keywords

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