Brain Computing for Real Time Home Automation

An EEG based home automation adjustment system is proposed on this project. Nowadays human life is really machine dependent, so machines are important in human life. Many environmental control systems have been proposed in recent times but only few researches have done this system in wireless communication network using human’s intellectual state. Based on the advance of our technique and the improvement of Micro-Electro-Mechanical-System based (MEMS-based) dry electrode sensors, we combined these techniques to demonstrate an auto-adjustable home automation, e.g., illumination of light and controlling the fan speed, depends on the intellectual change of the user, even for long-term monitoring. The system consists of mainly three modules which are wireless intellectual signal acquisition module, an embedded signal processing module, and a host system. This is successfully based on the logical state of the user which indicates that it can be implemented in many other applications.