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Abstract
Independent mobility is core to being able to perform activities of daily living by oneself. A large number of people who are not comfortable with conventional interfaces, due to various machine dysfunctions, like wiring problems , control inefficiency ,etc. The non–invasive brain– computer interfaces (BCIs) offer a promising solution to these problems.The electrical activity of the brain can be monitored in real– time using an array of electrodes, which are placed on the scalp in a process known as Electroencephalography (EEG). In order to bypass the peripheral nervous system, we need to find some reliable correlates in the brain signals that can be mapped to the intention to perform specific actions. Our brain generates different types of signals, having their respective frequency and amplitude. We can control any device by decoding, processing these signals and digitalizing them, which may further be used as actuating commands. The EEG electrodes provide a medium to acquire the Brain Signals. These signals have very low frequency and amplitude (in Hz and µV respectively). For signal conditioning, we design a series of high gain amplifiers and specific filters. We then digitalize the signal using ADC and transmit using XBEE transmitter. In the receiver section, a robotic vehicle converts the received signals into actuating commands.
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