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Abstract
In this paper an approach to build a brain computer-based hemispheric synchronization system is presented. The concept utilizes the wireless EEG signal registration and acquisition as well as advanced pre-processing methods. The influence of various filtration techniques of EOG artifacts on brain state recognition is examined. The emphasis is put on brain state recognition using band pass filtration for separation of individual brain rhythms. In particular, the recognition of alpha and beta states is examined to assess whether synchronization occurred. Two independent methods of hemispheric synchronization analysis are given, i.e. the first consisted in calculating statistical parameters for the entire signal registered and the second one in using wavelet-based feature statistics for different lengths of time windows, and then discussed. Perspectives of the system development are shown in the conclusions.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Human-Computer Systems Interaction : Background and Applications 2 strony 295 - 309
- Language:
- English
- Publication year:
- 2012
- Bibliographic description:
- Kaszuba K., Kopaczewski K., Odya P., Kostek B..: Employing a biofeedback method based on hemispheric synchronization in effective learning, W: Human-Computer Systems Interaction : Background and Applications 2, 2012, Springer,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-642-23172-8_20
- Verified by:
- Gdańsk University of Technology
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