A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier.
Level II
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Abstract
High rate classification of imagery tasks is still one of the hot topics among the brain computer interface (BCI) groups. In order to improve this rate, a new approach based on fractal dimension as feature and Adaboost as classifier is presented for five subjects in this paper. To have a comparison, features such as band power, Hjorth parameters along with LDA classifier have been taken into account. Fractal dimension as a feature with Adaboost and LDA can be considered as alternative combinations for BCI applications.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Communication Devices for People with Disabilities
- Electroencephalography
- Evoked Potentials
- Pattern Recognition, Automated
- User-Computer Interface