A group emotion control system based on reinforcement learning

Kee Hoon Kim; Sung Bae Cho

doi:10.1109/SOCPAR.2015.7492826

A group emotion control system based on reinforcement learning

Kee Hoon Kim, Sung Bae Cho

College of Computing

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

1 Citation (Scopus)

Abstract

Recently, ubiquitous computing and related sensor technology have significantly progressed. On the other side, the relationship between human emotion and sensory stimuli has been investigated. With this background, we propose sensory stimuli control system to adjust group emotion to given target emotion. Valence-arousal model was adapted for defining group emotion, and survey of 73-papers and onsite-investigation had done for domain knowledge. The proposed system is based on the partially observable Markov decision process to deal with the uncertain states of group emotion, and reinforcement learning approach to learn the criterion of decision in real time. To evaluate the proposed system, we collected 160-minutes data from kindergarten where the music and math classes are ongoing with 10 prescholers and 1 caregiver are participating. Our system produced 55.17% of accuracy, which outperfomed the original system by 15.51%p.

Original language	English
Title of host publication	Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
Editors	Mario Koppen, Azah Kamilah Muda, Kun Ma, Bing Xue, Hideyuki Takagi, Ajith Abraham
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	303-307
Number of pages	5
ISBN (Electronic)	9781467393607
DOIs	https://doi.org/10.1109/SOCPAR.2015.7492826
Publication status	Published - 2016 Jun 15
Event	7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 - Fukuoka, Japan Duration: 2015 Nov 13 → 2015 Nov 15

Publication series

Name	Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015

Other

Other	7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
Country/Territory	Japan
City	Fukuoka
Period	15/11/13 → 15/11/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Signal Processing
Control and Optimization
Modelling and Simulation

Access to Document

10.1109/SOCPAR.2015.7492826

Cite this

Kim, K. H., & Cho, S. B. (2016). A group emotion control system based on reinforcement learning. In M. Koppen, A. K. Muda, K. Ma, B. Xue, H. Takagi, & A. Abraham (Eds.), Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 (pp. 303-307). Article 7492826 (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SOCPAR.2015.7492826

Kim, Kee Hoon ; Cho, Sung Bae. / A group emotion control system based on reinforcement learning. Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. editor / Mario Koppen ; Azah Kamilah Muda ; Kun Ma ; Bing Xue ; Hideyuki Takagi ; Ajith Abraham. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 303-307 (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015).

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abstract = "Recently, ubiquitous computing and related sensor technology have significantly progressed. On the other side, the relationship between human emotion and sensory stimuli has been investigated. With this background, we propose sensory stimuli control system to adjust group emotion to given target emotion. Valence-arousal model was adapted for defining group emotion, and survey of 73-papers and onsite-investigation had done for domain knowledge. The proposed system is based on the partially observable Markov decision process to deal with the uncertain states of group emotion, and reinforcement learning approach to learn the criterion of decision in real time. To evaluate the proposed system, we collected 160-minutes data from kindergarten where the music and math classes are ongoing with 10 prescholers and 1 caregiver are participating. Our system produced 55.17% of accuracy, which outperfomed the original system by 15.51%p.",

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Kim, KH & Cho, SB 2016, A group emotion control system based on reinforcement learning. in M Koppen, AK Muda, K Ma, B Xue, H Takagi & A Abraham (eds), Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015., 7492826, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Institute of Electrical and Electronics Engineers Inc., pp. 303-307, 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, 15/11/13. https://doi.org/10.1109/SOCPAR.2015.7492826

A group emotion control system based on reinforcement learning. / Kim, Kee Hoon; Cho, Sung Bae.
Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. ed. / Mario Koppen; Azah Kamilah Muda; Kun Ma; Bing Xue; Hideyuki Takagi; Ajith Abraham. Institute of Electrical and Electronics Engineers Inc., 2016. p. 303-307 7492826 (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015).

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

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AB - Recently, ubiquitous computing and related sensor technology have significantly progressed. On the other side, the relationship between human emotion and sensory stimuli has been investigated. With this background, we propose sensory stimuli control system to adjust group emotion to given target emotion. Valence-arousal model was adapted for defining group emotion, and survey of 73-papers and onsite-investigation had done for domain knowledge. The proposed system is based on the partially observable Markov decision process to deal with the uncertain states of group emotion, and reinforcement learning approach to learn the criterion of decision in real time. To evaluate the proposed system, we collected 160-minutes data from kindergarten where the music and math classes are ongoing with 10 prescholers and 1 caregiver are participating. Our system produced 55.17% of accuracy, which outperfomed the original system by 15.51%p.

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Kim KH, Cho SB. A group emotion control system based on reinforcement learning. In Koppen M, Muda AK, Ma K, Xue B, Takagi H, Abraham A, editors, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 303-307. 7492826. (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015). doi: 10.1109/SOCPAR.2015.7492826

A group emotion control system based on reinforcement learning

Abstract

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Bibliographical note

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