Abstract: Brain-Computer Interface (BCI) technology enables communication between the human brain and external devices without requiring physical interaction. This paper presents a novel, non- invasive EEG-based BCI system for smart home automation, designed to assist individuals with physical disabilities. The system uses Bio amp EXG Pill for brain signal acquisition and the Maker UNO microcontroller to interpret EEG signals and control various home appliances. By focusing on brainwave patterns such as alpha and beta waves, the prototype converts cognitive commands into control signals. Experimental results indicate promising responsiveness and accuracy, highlighting the potential for enhancing independent living through assistive BCI technologies.

Keywords: Brain- Computer Interface, Home Automation, EEG, Assistive Technology, Maker UNO, Bio amp EXG Pill


Downloads: PDF | DOI: 10.17148/IJARCCE.2025.145121

How to Cite:

[1] Dr.Pramod Sharma, Shruti Tiwari, Sumit Kushwah, Akshra Sharma , "BCI-Based Home Automation," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.145121

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