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.