Title :
Brain computer interface: Classification of EEG for left and right wrist movements using AR modeling and Bhattacharya distance
Author :
Muhammed, S.P.P. ; Raza, Waseem ; Powers, David M W
Author_Institution :
Dept. of Electr. Eng., T.K.M. Coll. of Eng., Kollam, India
Abstract :
This paper presents classification of wrist movements (Left and Right) using Autoregressive modeling (AR). Here the features were extracted from Electro Encephalographic signals and AR modeled using Burg method. The simulation results show that by using AR modeling classification of Left and Right wrist movements can be classified with accuracy up to 98.75% and 96.8% respectively for executed and imaginary movements.
Keywords :
biomechanics; brain-computer interfaces; electroencephalography; Bhattacharya distance; Burg method; EEG; autoregressive modeling; brain computer interface; electroencephalographic signals; left wrist movement; right wrist movement; Brain models; Computational modeling; Electroencephalography; Feature extraction; Reflection; Wrist;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2011 Seventh International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-1-4577-0675-2
DOI :
10.1109/ISSNIP.2011.6146530
