Title :
An online coherence-based BCI for driving a mechanical arm
Author :
Abdalla, Marcos Antônio, Jr. ; Barroso, Marcio Falcão Santos ; Felix, Leonardo Bonato
Author_Institution :
Post-Graduation Eng. Program, Fed. Univ. of Sao Joao del-Rei, São João del-Rei, Brazil
Abstract :
The present work describes the simulation to be used in the control of a mechanical arm using a Visual Evoked Potential to drive a Brain Computer Interface system. The signal processing and classifying was done using the Multiple Coherence K2N. The proposed classifier was able to detect the difference between four different frequencies presented at the same time. The Multiple Coherence classifier had a hit rate of 95%.
Keywords :
brain-computer interfaces; medical robotics; medical signal processing; signal classification; visual evoked potentials; brain computer interface; mechanical arm; multiple coherence classifier; on-line control; online coherence-based BCI; robotic arm; signal classification; signal processing; visual evoked potential; Brain modeling; Coherence; Electroencephalography; Equations; Mathematical model; Signal to noise ratio; Brain Computer Interface; Multiple Coherence; Visual Evoked Potential;
Conference_Titel :
Biosignals and Biorobotics Conference (BRC), 2012 ISSNIP
Conference_Location :
Manaus
Print_ISBN :
978-1-4673-2476-2
DOI :
10.1109/BRC.2012.6222175
