Deep Transfer Learning for Emotion Recognition Networks

Min Kyu Lee; Dae Ha Kim; Dong Yoon Choi; Byung Cheol Song

doi:10.1109/ICCE-ASIA.2018.8552131

Deep Transfer Learning for Emotion Recognition Networks

Min Kyu Lee, Dae Ha Kim, Dong Yoon Choi, Byung Cheol Song

Inha University

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

4 Scopus citations

Abstract

This paper first presents a network parameter learning method using transfer learning based on well-known DenseNet. Next, we propose an emotion recognition algorithm where temporal information between frames is effectively learned by using long short term memory (LSTM) scheme.

Original language	English
Title of host publication	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538658079
DOIs	https://doi.org/10.1109/ICCE-ASIA.2018.8552131
State	Published - 28 Nov 2018
Event	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of Duration: 24 Jun 2018 → 26 Jun 2018

Publication series

Name	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Conference

Conference	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Country/Territory	Korea, Republic of
City	JeJu
Period	24/06/18 → 26/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Emotion recognition
Transfer learning

Access to Document

10.1109/ICCE-ASIA.2018.8552131

Cite this

Lee, M. K., Kim, D. H., Choi, D. Y., & Song, B. C. (2018). Deep Transfer Learning for Emotion Recognition Networks. In 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 Article 8552131 (2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-ASIA.2018.8552131

@inproceedings{56dcfe623bce4fddbbbdc4ea8787e44b,

title = "Deep Transfer Learning for Emotion Recognition Networks",

abstract = "This paper first presents a network parameter learning method using transfer learning based on well-known DenseNet. Next, we propose an emotion recognition algorithm where temporal information between frames is effectively learned by using long short term memory (LSTM) scheme.",

keywords = "Emotion recognition, Transfer learning",

author = "Lee, {Min Kyu} and Kim, {Dae Ha} and Choi, {Dong Yoon} and Song, {Byung Cheol}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 ; Conference date: 24-06-2018 Through 26-06-2018",

year = "2018",

month = nov,

day = "28",

doi = "10.1109/ICCE-ASIA.2018.8552131",

language = "English",

series = "2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018",

address = "United States",

}

Lee, MK, Kim, DH, Choi, DY & Song, BC 2018, Deep Transfer Learning for Emotion Recognition Networks. in 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018., 8552131, 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018, JeJu, Korea, Republic of, 24/06/18. https://doi.org/10.1109/ICCE-ASIA.2018.8552131

Deep Transfer Learning for Emotion Recognition Networks. / Lee, Min Kyu; Kim, Dae Ha; Choi, Dong Yoon et al.
2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8552131 (2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018).

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

TY - GEN

T1 - Deep Transfer Learning for Emotion Recognition Networks

AU - Lee, Min Kyu

AU - Kim, Dae Ha

AU - Choi, Dong Yoon

AU - Song, Byung Cheol

PY - 2018/11/28

Y1 - 2018/11/28

N2 - This paper first presents a network parameter learning method using transfer learning based on well-known DenseNet. Next, we propose an emotion recognition algorithm where temporal information between frames is effectively learned by using long short term memory (LSTM) scheme.

AB - This paper first presents a network parameter learning method using transfer learning based on well-known DenseNet. Next, we propose an emotion recognition algorithm where temporal information between frames is effectively learned by using long short term memory (LSTM) scheme.

KW - Emotion recognition

KW - Transfer learning

UR - http://www.scopus.com/inward/record.url?scp=85060011559&partnerID=8YFLogxK

U2 - 10.1109/ICCE-ASIA.2018.8552131

DO - 10.1109/ICCE-ASIA.2018.8552131

M3 - Conference contribution

AN - SCOPUS:85060011559

T3 - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

BT - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Y2 - 24 June 2018 through 26 June 2018

ER -

Deep Transfer Learning for Emotion Recognition Networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this