DocumentCode
2528711
Title
Detecting eye movements in EEG for controlling devices
Author
Gupta, Soumya Sen ; Soman, Sumit ; Raj, P. Goutham ; Prakash, R. ; Sailaja, S. ; Borgohain, R.
Author_Institution
Centre for Dev. of Adv. Comput. (CDAC), Noida, India
fYear
2012
fDate
12-14 July 2012
Firstpage
69
Lastpage
73
Abstract
Eye blinks and lateral eye movements are prominent in EEG signals which are obtained by placing electrodes in the frontal region of the brain. This paper presents a machine learning approach to detect eye movements and blinks from EEG data and map them as intents to control external devices like a computer desktop or a wheel chair.
Keywords
electroencephalography; eye; learning (artificial intelligence); medical signal processing; EEG signals; electrodes; external device control; eye blinks; eye movement detection; lateral eye movements; machine learning; Electroencephalography; Equations; Feature extraction; Mathematical model; Spatial filters; Support vector machines; Training; Brain Computer Interface; Common Spatial Pattern Filter; EEG; EOG; Electroencephalography; Support Vector Machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Cybernetics (CyberneticsCom), 2012 IEEE International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4673-0891-5
Type
conf
DOI
10.1109/CyberneticsCom.2012.6381619
Filename
6381619
Link To Document