Performance Comparison Analysis of Home Automation using Brain Computer Interface & IOT for Physically Challenged

Abstract

In our society, many individuals suffer from paralytic diseases, resulting in various disabilities. They are unable to speak, move physically, or express their basic daily needs. However, they can still use their eyes and sometimes move their heads. This project operates on the principle of Brain-Computer Interface (BCI). Our model assists them in operating home appliances using eye blinks. The core of this system is a Raspberry Pi.A pioneering brain-computer interface (BCI) establishes an innovative communication link between the human brain and digital computers, aiming to restore fundamental capabilities for individuals with physical disabilities. The integration of electroencephalogram (EEG) technology into the BCI, particularly when connected to a Virtual Reality (VR) system, represents a significant leap forward in assistive technology. This synergistic approach not only provides an alternative mode of communication and control but also serves as a tangible solution for managing smart home applications. By directly harnessing EEG signals, the BCI enables users to navigate and interact within a virtual environment, effectively bypassing traditional neuromuscular pathways. This artificial system's capacity to circumvent the body's typical output channels holds promise for individuals seeking increased autonomy over their surroundings. The seamless collaboration between neuroscience and technology in the realm of BCIs reflects a transformative approach that extends beyond immediate applications, elevating the quality of life for those with mobility challenges and contributing to the evolution of human-computer interaction, shaping a more inclusive and technologically advanced future.