ARM Based Smart Living System using Brain Computer Interface

Abstract

Abstract: As of late, numerous ecological control systems
have been proposed to improve human personal satisfaction. In
any case, little research has concentrated on environmental
control directly using the human physiological state. The
primary point of this paper is to control the physical gadgets
like home machines utilizing EEG signals and to assist the
physically disabled persons with controlling the home
apparatuses, so they become autonomous in their everyday life.
This methodology offers an elective correspondence and the
control framework and is referred as an artificial system that
evades the human body’s typical enough pathways, which are
neuromuscular yield channels. In this paper, a non-obtrusive
Brain Computer Interface is utilized. The brainwave sensor is
utilized to detect the brain signals and eye blink. As per the eye
blink values and the brain attention values, the gadgets will be
chosen and through transfers the turning ON and OFF the
home apparatus are done as needs be. The experimental results
show how to operate the modules like fan/bulb by blinking the
eyes with help of ARM7 processor. It is observed that the mean
response time of the system for bulb was found to be 15.6 sec
with accuracy of 84.6% for ON state, and 21 sec with accuracy
of 72.4% for OFF state.

Index Terms: Brain wave sensor, Brain computer Interface,
Electroencephalogram (EEG), ARM processor.