A Reliable Eye blink Based Home Automation system using False Free Detection Algorithm

In this paper, we have developed a smart home control system that uses brain wave technology to achieve brain-computer interaction. We have captured the brain signals using a mind link sensor placed over the head of a user. And the signal generated by the brain will be received by the mind link sensor and then transmitted to a processor through Bluetooth module. In the processor, it eliminates the noise and remove the artifacts from the data to represent true brain signals and the signal processed will be actuated based on the set algorithm. In the considerable number of papers and previous works in which there are concepts of home automation with aid of eye blink detection where the system detected an eye blink when it was not present and missed blinks which in turn may lead to operations in the wrong direction. So, to overcome this limitation, we have designed an algorithm that eliminated false detection and the missed blinks. The False detection is eliminated by considering the two peak values of the blinks detected and the peak values act as a bridge between the set of choices pointed in the GUI (Graphical User Interface) and thus helps the user to control the household appliances using eye blink detection.