Revisit: pattern recognition of Mu-rhythm using autoregressive and linier classifier

This paper describes the experiment of mu-rhythm application using BCI2000 and Emotiv. Experiment uses 1-D cursor task application as biofeedback. Autoregressive (AR) and Linier Classifier are used as pattern recognition algorithm in the system. In order to test the application, experiment uses 3 subjects for testing. As result, subjects can move the ball to the target with average accuracy about 76%. The purpose of this experimet is understanding the mu-rhythm brainwave in realtime application. Hence, this experiment can give overview about the brainwave by recognizing the characteristics of the mu-rhythm and knowing how to utilize this.