Paper Title
Electroencephalography And Mems Based Hybrid Motion Control System

The brain has billions of neurons working in unison, all activities of the brain ranging from regular motions and emotions are generated and transmitted as electrical signals (electric discharge), which cannot be measured by the current technology, however when thousands of neurons collectively concentrates on a particular activity these electric discharges cumulate to form waves that can be measured, these waves provide information about the brain state and current level of activity, this paper shall discuss on how these waves can be tapped and used in motion control of a mind controlled robot. There are different means to capture these mind activities, one technique is Electroencephalography (EEG). The EEG sensors are capable of picking up brain activity signals from the scalp and transmit them as understandable signals to any suitable device. The paper also aims to combine the above concept with MEMS (Micro-Electro-Mechanical Systems) accelerometers to attain further ease of control and accuracy. For safety concerns an obstacle avoiding algorithm is also implemented, using ultrasonic sensors to avoid collisions in case of any malfunction of the EEG or MEMS systems.