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Emotion Recognition Algorithm Based on Neural Fuzzy Network and the Cloud Technology
- Issue Date
- 2015
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- cloud server; emotion recognition algorithm; neuro-fuzzy network; speech signal
- Citation
- Proceedings - 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2015, pp.576 - 579
- Journal Title
- Proceedings - 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2015
- Start Page
- 576
- End Page
- 579
- ISSN
- 0000-0000
- Abstract
- Emotion recognition has been a popular topic of human-computer interaction and affective computing. In this paper, 2-D visual emotion recognition model is put forward which takes neural fuzzy network as the theoretical basis. The model is designed for make classification of four types of emotion-related voice signals. A high accuracy of 85% is realized by the model. It is noted that the model can identify sadness emotions effectively. The rate is up to as high as 100%. The algorithm is to be used for a cloud server. © 2015 IEEE.
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Related Researcher
- Lim, Joon Shik
- College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))