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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.
Date of Conference: 6-9 Dec. 2011