| ABSTRACT |
A brain-Machine interface (BMI) is an intelligent System that records electroencephalogram (EEG) signals from the human subjects. The system records the brain perception signal while the subject is made to visualize a picture and pre-processed. After pre-processing, band energy features are extracted using simple feature extraction technique. The extracted features are then associated to the respective visualization task perception and a neural network model is developed. The system has the capability of recording and processing the EEG perception signals and identifying the correct perception signal using the network model. Once the network identifies the perception signal; it is then converted into an equivalent voice signal and played through an audio speaker.
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