@inproceedings{657f199d67234f5999cb0a6d19677774,
title = "A reliable brain computer interface implemented on FPGA for mobile dialing system",
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 buttons (9Hz, 10Hz, 11Hz, 12Hz, 13 Hz, 14Hz) displayed on the screen, subjects can choose the number by gazing at the computer interface. This proposed EEG (Electroencephalography) system has been implemented in Field-Programmable Gate Arrays (FPGA) and it features high accuracy, integration density, and low cost. These features are meaningful for implementing a real time SSVEP-based BCI.",
keywords = "Accuracy, Bandwidth, Brain-computer interfaces, Correlation, Electroencephalography, Field programmable gate arrays, Visualization",
author = "Feng, {Chih Wei} and Chang, {Jui Chung} and Chen, {Wei Chen} and Wai-Chi Fang",
year = "2015",
month = aug,
day = "20",
doi = "10.1109/ICCE-TW.2015.7216805",
language = "English",
series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "110--111",
booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
address = "United States",
note = "2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",
}