ARM Based Smart Living System using Brain Computer Interface

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.