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Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 8)

Publication Date:

Authors : ; ;

Page : 404-413

Keywords : KEYWORDS: Non Invasive methods; BeagleBone Black; TM4C1294; CC3100; EEG; IoT; Home Automation;

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Brain dead people and people having any disability related to brain cannot normally communicate with others and for their betterment some electronic need to be developed and Brain Machine Interfacing (BMI) is one such solution. BMI includes extracting brain signals directly from the skull of the subject and interfacing it with a machine to determine the state of thinking and act accordingly. The brainwaves are collected by non-invasive electrodes and the output is fed to an amplifier and filter circuit which is then fed into an ADC to process and recognize which act the subject wish to perform. Also for additional functionality Internet of Things (IoT) feature is added so that subject can control devices and perform any act even from remote locations. The complete module is developed with the help of Tiva C series TM4C1294 board for ADC and as processing unit, CC3100 for providing IoT feature and Beaglebone Black (BBB) to work as a processor at the receiver end.

Last modified: 2016-08-08 19:43:22