Brain Machine Interface (BMI) system is very helpful technique for the disabled and handicapped person to express their emotion and feeling to someone else with the help of EEG Signals coming out of our brain. As we know that, the human brain is made up of billions of interconnected neurons about the size of a pinhead. As neurons interact with each other, patterns manifest as singular thoughts such as a math calculation. As a by-product, every interaction between neurons creates a miniscule electrical discharge, measurable by EEG (electroencephalogram) machines.This system enables people with severe motor disabilities to send command to electronic devices by help of their brain waves.These signals can be used to control any electronic devices like mouse cursor of the computer, a wheel chair, a robotic arm etc. The research in this area of BCI system (or BMI) uses the sequence of 256 channel EEG data for the analysis of the EEG signals coming out of our brain by using tradition gel based multi sensor system, which is very bulky and not convenient to use in real time application. So this particular work proposes a convenient system to analyze the EEG signals, which uses few dry sensors as compared to the tradition gel based multi sensor system with wireless transmission technique for capturing the brain wave patterns and utilizing them for their application. The goal of this research is to improve quality of life for those with severe disabilities.