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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hayamizu, T. Mori, H. Mutsuo, S. Nishiguchi, S. Miyawaki, K. Yamashita, N. |
| Copyright Year | 2012 |
| Description | Author affiliation: Graduate School of Information Science and Technology Osaka Institute of Technology Osaka, Japan (Hayamizu, T.; Nishiguchi, S.) || NEC Personal Solutions Business Development Division NEC Osaka, Japan (Yamashita, N.) || Faculty of Information Science and Technology Osaka Institute of Technology Osaka, Japan (Mori, H.; Mutsuo, S.; Miyawaki, K.) |
| Abstract | Recently, there have been many studies on the activation of group communication, and it is important to easily and stably measure the states of group communication. We focus on group emotion expressed during conversation, and propose a method for estimating group emotion reliably using a Bayesian network based on both face image features and prosodic information. In the proposed method, group emotion is derived from estimation state values of individual emotions in the Bayesian network. The effectiveness of the proposed method was verified by performing experiments involving group conversation. |
| Starting Page | 177 |
| Ending Page | 182 |
| File Size | 1314497 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467331425 |
| e-ISBN | 9781467331432 |
| DOI | 10.1109/ICCSCE.2012.6487137 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-23 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Emotion Model Group Emotion Emotion Recognition |
| Content Type | Text |
| Resource Type | Article |
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