Optimization of home automation systems based on human motion and behaviour

Given the reduction in cost and power supply of wireless systems along with the increasing demand for conserving energy when controlling consumer electronics and home appliances, smart home automation systems are more popular than ever before. A home automation system designed for reducing electricity consumption typically uses different sensors located in different areas of the house that communicate with a process unit to control the lights, HVAC system, consumer electronics, etc., so that the process unit turns these systems on only when needed. Additionally, other automated tasks may include setting the HVAC to an energy saving setting while the house is unoccupied, and restoring the normal setting when an occupant is about to return. To optimize current home automation systems, it is proposed that by considering the behavior of the residents inside a house, the power consumed on a daily basis will be significantly reduced. Such a power reduction could be achieved by both the sensors that monitor the motions of the residents inside a house and the adaptive control system that promptly adjusts itself to the most efficient level to further reduce electricity consumption based on different actions, habits and lifestyle of the residents.