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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vu, H.A. Yamazaki, Y. Dong, F. Hirota, K. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Electrical, Electronic, and Information Eng., Kanto Gakuin University, Yokohama, Japan (Yamazaki, Y.) || Dept. of Computational Intelligence & Systems Science, Tokyo Institute of Technology, Yokohama, Japan (Vu, H.A.; Dong, F.; Hirota, K.) |
| Abstract | A bi-modal emotion recognition approach is proposed for recognition of four emotions that integrate information from gestures and speech. The outputs from two uni-modal emotion recognition systems based on affective speech and expressive gesture are fused on a decision level fusion by using weight criterion fusion and best probability plus majority vote fusion methods, and the performance of classifier which performs better than each uni-modal and is helpful in recognizing suitable emotions for communication situations. To validate the proposal, fifty Japanese words (or phrases) and 8 types of gestures that are recorded from five participants are used, and the emotion recognition rate increases up to 85.39%. The proposal is able to extent to using more than other modalities and useful in automatic emotion recognition system for human-robot communication. |
| Starting Page | 787 |
| Ending Page | 791 |
| File Size | 944656 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007557 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Emotion recognition Speech Speech recognition Robot kinematics Humans Image color analysis Affective Speech Emotion Recognition Decision-level Fusion Expressive Gesture |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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