DocumentCode :
2487056
Title :
A high performance SSVEP-BCI without gazing
Author :
Lopez-Gordo, M.A. ; Pelayo, F. ; Prieto, A.
Author_Institution :
Dept. of Comput. Archit. & Technol., Univ. of Granada, Granada, Spain
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
5
Abstract :
Brain-computer interfaces based on steady-state visual evoked potential (SSVEP-BCIs) achieve a high performance due to their multiclass nature in paradigms where gazing is needed. Studies of binary SSVEP-BCIs have been presented without the need of gazing at the expense of low performance. This study presents a high performance binary SSVEP-BCI that allows an efficient communication without the need of gazing. The information transmission rate (ITR) obtained was 0.64±0.27 bits per seconds with peaks of 1.16 bits per second and an accuracy of 90±7%, which is an excellent performance for a binary SSVEP-BCI. To achieve this performance two main factors were involved: on the one hand, the use of both amplitude and phase of the SSVEP in the classification and, on the other, the use of the absence of gaze (“thousand-yard stare”) as a way of helping to ignore the stimulus.
Keywords :
brain-computer interfaces; visual evoked potentials; SSVEP-BCI; brain computer interfaces; information transmission rate; steady state visual evoked potential; Accuracy; Brain computer interfaces; Correlation; Detectors; Discrete Fourier transforms; Steady-state; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
ISSN :
1098-7576
Print_ISBN :
978-1-4244-6916-1
Type :
conf
DOI :
10.1109/IJCNN.2010.5596325
Filename :
5596325
Link To Document :
بازگشت