EEG SIGNAL CLASSIFICATION AND SPEECH SYNTHESIZER FOR DISABLES

Dr.M.Shivkumar; Stafford Michahial; Chethana.M.R; Lavanya.P; Ameen Kubra; Harshitha.K

Volume : V, Issue : VII, July - 2015

EEG SIGNAL CLASSIFICATION AND SPEECH SYNTHESIZER FOR DISABLES

Dr. M. Shivkumar, Stafford Michahial, Chethana. M. R, Lavanya. P, Ameen Kubra, Harshitha. K

Abstract :

Several patients are no longer able to communicate effectively with the outside world. For instance, patients affected with stroke, spinal cord injury or a ain stem stroke where people require alternate method of communication and control. Their ains may offer them a way out. The EEG based ain computer interface (BCI) is the technique used to measure ain activity. The goal of the current work is the development of an electroencephalogram (EEG) based BCI system. The overview of this work is that the user thought is extracted from his ain activity. Pre–processing is performed using filters and wavelet transforms to extract the features and classify them to their respective class. The intention of this work is to en