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

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.

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Publication Details

Journal
NTU Journal of Engineering and Technology
Published
2025-06-23
DOI
https://doi.org/10.56286/kp96x717
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

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

Yasir M. Abdal
NTU Journal of Engineering and Technology
EEG and Brain-Computer Interfaces
article

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

Yasir M. Abdal
article en

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.

NTU Journal of Engineering and TechnologyVol. 4(2)
Northern Technical University (IQ)
Openalex Percentile: Top 75%
EEG and Brain-Computer Interfaces
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EEG-Based Smart Control System for Managing Multiple Living Room Devices via Eye Blinking — Yasir M. Abdal · NTU Journal of Engineering and Technology (2025) | TGRS Research Map | TGRS