Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet Browser.

Autor: Mugler, Emily M., Ruf, Carolin A., Halder, Sebastian, Bensch, Michael, Kubler, Andrea
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Zdroj: IEEE Transactions on Neural Systems & Rehabilitation Engineering; Dec2010, Vol. 18 Issue 6, p599-609, 11p
Abstrakt: An electroencephalographic (EEG) brain–computer interface (BCI) internet browser was designed and evaluated with 10 healthy volunteers and three individuals with advanced amyotrophic lateral sclerosis (ALS), all of whom were given tasks to execute on the internet using the browser. Participants with ALS achieved an average accuracy of 73% and a subsequent information transfer rate (ITR) of 8.6 bits/min and healthy participants with no prior BCI experience over 90% accuracy and an ITR of 14.4 bits/min. We define additional criteria for unrestricted internet access for evaluation of the presented and future internet browsers, and we provide a review of the existing browsers in the literature. The P300-based browser provides unrestricted access and enables free web surfing for individuals with paralysis. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index