EEG BASED SMART HOME AUTOMATION USING NON-INVASIVE BRAIN-COMPUTER INTERFACE APPROACH.

The main aim of this paper is to control the physical devices like home appliances using Electroencephalogram (EEG) signals. The objective of this paper is to help the paralyzed and physically disabled people to control the home appliances, so they become independent in their daily life. The BCI is abbreviated as Brain-Computer Interface, is considered as a recent and a unique transmission medium between the human brain and a computer. EEG signals are associated with the virtual and reality system to control the home appliances. This approach offers an alternative communication and the control system and is referred as an artificial system that circumvents the human body’s normal adequate pathways, which are the neuromuscular output channels. Here, non-invasive Brain-Computer Interface approach is used. The NeuroSky brainwave sensor is used to sense the brain signals and the eye blink. The ARM7 processor is used as a main interfacing device. According to the eye blink values and the brain attention values the devices will be selected and through relays the switching on and off of the home appliances are done accordingly.