Title :
Detection of Closed and Open eyes via brain control interface
Author :
Vargic, Radoslav ; Kacur, Juraj
Author_Institution :
Inst. of Telecommun., Slovak Univ. of Technol., Bratislava, Slovakia
Abstract :
This paper presents the Brain computer interface (BCI) and its current potential for application in devices and process control. BCI is one of emerging options for Human Computer Interface (HCI) allowing more comfortable interaction with devices and processes in the Information and Communication Technology (ICT) area. Current state on the art is described and various available BCI devices are listed. Specific control method based on Closed and Open eyes detection via BCI using spectrogram approach and frequency band energy analysis is introduced in combination with Gaussian Mixture Model (GMM) and K-Nearest Neighbor (KNN).
Keywords :
Gaussian processes; brain-computer interfaces; electroencephalography; mixture models; BCI devices; GMM; Gaussian mixture model; HCI; ICT; KNN; brain computer interface; brain control interface; closed eye detection; frequency band energy analysis; human computer interface; information and communication technology; k-nearest neighbor; open eye detection; process control; spectrogram approach; Accuracy; Brain-computer interfaces; Electrodes; Electroencephalography; Feature extraction; Training; Vectors; Brain Computer Interface; GMM; KNN;
Conference_Titel :
ELMAR (ELMAR), 2014 56th International Symposium
Conference_Location :
Zadar
DOI :
10.1109/ELMAR.2014.6923307
