In this study , and through an understanding of neuronal system communication, A light was shed upon a novel model serves as an assistive technology for locked-in people suffering from Motor neuronal disease . MNDpatients, who have an intact minds, are able -till now- to make a mean of on-screen communication . Work was done upon the potential of brain wave activity patterns to be detected as electrical signals, classified and translated into commands following BCI constructing paradigm. However, The interface constructed was for the first time a device which can reconstruct this command physically. The intervention is in a software is used to classify imagined right and left limb movement into binary results, and then make use of the magnetic field produced by the amplified pulses to reconstruct the activity into ferrofluid droplets movement- these moved due rotation of a  desk according to the data received . Objectives of the project is to address the challenges of the inaccurate performance and cost of user-training which are yet the main issues preventing BCI from being upgraded into more immersive and effective technology. The design requirements addressed were the communication speed of the droplet movement and the accuracy of hitting fixed targets. Tests were performed based on software programs accelerated changing motor imagery movement of left and right limbs. The tests achieved an average speed of 0.469 cm/s and average accuracy of 81.6\% for the best volume from many were tried . A conclusion to be drawn was that the promise of this other point of view on BCI systems to be more Brain-Real World Systems .
In this project , and through an understanding of neuronal system communication, A novel model serves as an assistive technology for locked-in people suffering from Motor neuronal disease (MND) is proposed . Work was done upon the potential of brain wave activity patterns to be detected as electrical signals, classified and translated into commands following Brain Computer Interfaces (BCI) constructing paradigm. However, the interface constructed was for the first time a device which can reconstruct this command physically. The project novelty is in the feedback step, where an electromagnets magnetic field is used to showcase the command in ferrofluid droplets movement- these moved to assigned targets due to rotation of a glass surface desk according to the data received from the brain. The goal of this project is to address the challenges of the inaccurate performance in user-training which is yet the main issues preventing BCI from being upgraded into more applicable technology. Tests were performed based on Open ViBE software after uploading recorded files of Motor Imagery MI tasks and the design requirements tested were the motion speed of the droplet and accuracy of hitting fixed targets. An average speed of 0.469 cm/s and average accuracy of 81.6\% were obtained from the best volume for the droplet . A conclusion to be drawn was that the promise of this other point of view on BCI systems to be more Brain-Real World Systems 
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