A Hybrid Brain Computer Interface based on SSVEP And Eye Tracking
Author:
Affiliation:
1. Wuhan University of Technology,Hubei Research Center for New Energy & Intelligent Connected Vehicle,Wuhan,China
2. Tumxuk Xinguang Jingwei UAV Technology Co.Ltd,Tumxuk,China
Funder
National Natural Science Foundation of China
Xinjiang Production and Construction Corps
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10126131/10126116/10126244.pdf?arnumber=10126244
Reference15 articles.
1. SSVEP-Based Brain-Computer Interface With a Limited Number of Frequencies Based on Dual-Frequency Biased Coding
2. Perspective Transformation
3. To train or not to train? A survey on training of feature extraction methods for SSVEP-based BCIs
4. A review of using eye-tracking technology in exploring learning from 2000 to 2012
5. Task-related component analysis for functional neuroimaging and application to near-infrared spectroscopy data
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