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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dae-Jin Kim Sang-Wan Lee Zeungnam Bien |
| Copyright Year | 2005 |
| Description | Author affiliation: Eng. Res. Center, KAIST, Daejeon, South Korea (Dae-Jin Kim) |
| Abstract | The facial expression recognition (FER) is one of the biosignal-based recognition techniques which attract a lot of attention recently. To deal with its complex characteristics effectively, we adopt the soft computing techniques (SCT) such as fuzzy logic, neural networks, genetic algorithm and/or rough set technique. In this paper, we overview the state-of-the-art reports on FER in view of SCT, and introduce some interesting works done by our group on the SCT-based facial emotional expression recognition. Specifically, 1) fuzzy observer-based approach, 2) personalized FER system based on fuzzy neural networks, and 3) Gabor wavelet neural networks are briefly discussed. |
| Starting Page | 661 |
| Ending Page | 666 |
| File Size | 405208 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780392744 |
| DOI | 10.1109/ROMAN.2005.1513855 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Emotion recognition Face recognition Neural networks Fuzzy neural networks Humans Intelligent robots Computer networks Service robots Intelligent networks Feature extraction |
| Content Type | Text |
| Resource Type | Article |
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