Bibliographic Details
| Title: |
Multiple Classifier Systems for the Recogonition of Human Emotions. |
| Authors: |
Schwenker, Friedhelm, Scherer, Stefan, Schmidt, Miriam, Schels, Martin, Glodek, Michael |
| Source: |
Multiple Classifier Systems (9783642121265); 2010, p315-324, 10p |
| Abstract: |
Research in the area of human-computer interaction (HCI) increasingly addressed the aspect of integrating some type of emotional intelligence in the system. Such systems must be able to recognize, interprete and create emotions. Although, human emotions are expressed through different modalities such as speech, facial expressions, hand or body gestures, most of the research in affective computing has been done in unimodal emotion recognition. Basically, a multimodal approach to emotion recognition should be more accurate and robust against missing or noisy data. We consider multiple classifier systems in this study for the classification of facial expressions, and additionally present a prototype of an audio-visual laughter detection system. Finally, a novel implementation of a Java process engine for pattern recognition and information fusion is described. [ABSTRACT FROM AUTHOR] |
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Copyright of Multiple Classifier Systems (9783642121265) is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |