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EEG driven Magic Ears

This is a project designed by the people of Cornell University which reads user’s excitement degree and controls the ears to show different gestures. It uses electroencephalography (EEG) with the AVR microcontroller. The EEG sensor comprises of both low pass as well as high pass filter along with amplifiers. The design is built around a ATMEGA controller along with a pair of EEG electrodes and some basic analog electronics. The amplifier is built around a AD620 amplifier chip which has a very high input impedance and hence is an ideal choice for EEC detection.

magic_ears

 The analog circuit is mainly used to filter the alpha band of the brain wave and the microcontroller controls the two motor based on the level of the EEG signal. However the problem that arise is that it has to be calibrated every time the person who uses this device changes it since the EEG magnitude changes as person changes.  Hence as a solution, it measures only the relative excitement and can’t be used to measure the accurate or exact level of excitement for a particular person.

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