The first fold of our project we have design and implemented a fully functional brain to muscle interface for paralysed person (bmip) interface. the bmip interface is having the provision for preprocessing classifying recording and training multidimensional emg signals. the classifier module and the pre-processor module is implemented separately for easy testing and modification of different phases. to accomplish the first phase of the research a thorough literature review for the different brain to muscle interface has been done. in the second fold of the research, the developed bmip system is tested on the paralyzed person. the muscle movement has been recorded during voluntary movement. when the controlling person brain does real time activities it has to be detected and categorized into two dimensional movements. bmip experiment the research procedure is as follow the person is interfaced with bmip with the active headset.the bmip generate eeg signal. in response to eeg signal electrical stimulation is generated and in response to the stimulus the subject under test that is the person paralyzed part does the required orientation. during the operation, the bmip record the eeg signals process it and classify it to different operations. the recorded operation is compared with the actual operations. the performance accuracy is measured. the performance accuracy is the number of correct classification divided by number of physical operations. . in the first phase of the research real physical operations are performed, detected and recorded. in the second phase the nerves responsible for the muscle movement of person has to be identified. a pairs of emg electrodes has to be placed on the identified location. the phases are compared and tested for the accuracy. if the result is not satisfactory a bio-feedback is given and the process is repeated till the performance accuracy is achieved.