EEG-Based Smart Control System for Managing Multiple Living Room Devices via Eye Blinking

Abstract

In recent years, technology utilizing electroencephalography (EEG) for the control of electrical devices has advanced significantly. Today, anyone may monitor their own brain patterns and waves outside of clinics and medical laboratories. Moreover, in addition to evaluating brain signals, these signals may be utilized to operate daily electronic devices, also referred to as the brain-computer interface (BCI). The suggested system can effectively aid older persons and others with disabilities who experience speech and mobility suffering, enabling them to remain at home safely and comfortably. Ten participants between the ages of 25 and 45 participated in the study. The EEG headset used has a sensor that senses human attention, meditation, and eye-blinking. This paper presents an EEG-based home automation system that uses eye blink detection to control multiple living room devices, achieving an 
accuracy between 86.21% and 92.86%. These findings enhance the brain-computer interface and also highlight the potential for improving its immobility.