Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes
β¦ LIBER β¦
Wavelets-based facial expression recognition using a bank of support vector machines
β Scribed by Sidra Batool Kazmi; Qurat-ul-Ain; M. Arfan Jaffar
- Book ID
- 106169550
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Weight
- 706 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1432-7643
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