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dc.contributor.authorChen, Tsan-Yuen_US
dc.contributor.authorFeng, Chih-Weien_US
dc.contributor.authorFang, Wai-Chien_US
dc.date.accessioned2017-04-21T06:49:38Z-
dc.date.available2017-04-21T06:49:38Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-4673-8364-6en_US
dc.identifier.urihttp://hdl.handle.net/11536/136269-
dc.description.abstractThis 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 the automatic artifacts removal system based on BSS-CCA method 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. Implementing a prototype of the SSVEP-based BCI system verifies the effectiveness of the proposed system. Experimental results show that the subjects\' SSVEP can successfully control the dial device through the proposed BCI system with high identification accuracy.en_US
dc.language.isoen_USen_US
dc.titleDevelopment of a Reliable SSVEP-Based BCI Mobile Dialing Systemen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000386327000112en_US
dc.citation.woscount0en_US
顯示於類別:會議論文