A Reliable Brain Computer Interface Implemented on an FPGA for a Mobile Dialing System
| dc.citation.epage | 657 | en_US |
| dc.citation.spage | 654 | en_US |
| dc.citation.woscount | 0 | en_US |
| dc.contributor.author | Feng, Chih-Wei | en_US |
| dc.contributor.author | Hu, Ting-Kuei | en_US |
| dc.contributor.author | Chang, Jui-Chung | en_US |
| dc.contributor.author | Fang, Wai-Chi | en_US |
| dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
| dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
| dc.date.accessioned | 2015-07-21T08:31:30Z | |
| dc.date.available | 2015-07-21T08:31:30Z | |
| dc.date.issued | 2014-01-01 | en_US |
| dc.description.abstract | This paper demonstrates a high performance brain-computer interface (BCI) that allows users to dial phone numbers. The system is based on Canonical Correlation Analysis (CCA) and Steady-State Visual Evoked Potential (SSVEP). Through six frequency bands (9Hz, 10Hz, 11Hz, 12Hz, 13 Hz, 14Hz) displayed on the screen, subjects can choose a phone number by gazing at the display interface. This proposed EEG system has been implemented in Field-Programmable Gate Arrays (FPGA), and shows high accuracy, high integration density, and low cost. These features are meaningful for implementing a real-time SSVEP-based BCI. | en_US |
| dc.identifier.isbn | 978-1-4799-3432-4 | en_US |
| dc.identifier.issn | 0271-4302 | en_US |
| dc.identifier.journal | 2014 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/124895 | |
| dc.identifier.wosnumber | WOS:000346488600168 | en_US |
| dc.language.iso | en_US | en_US |
| dc.title | A Reliable Brain Computer Interface Implemented on an FPGA for a Mobile Dialing System | en_US |
| dc.type | Proceedings Paper | en_US |
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