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All Journal EMITTER International Journal of Engineering Technology
Huda Almuzaini
Computer Science Department, College of Computer and Information Sciences, Imam Mohammed Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia
Computer Science & IT

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Supporting Independent Prayer in Alzheimer’s Patients with an EEG-Enabled BCI System Huda Almuzaini; Sara AlRahili; Maha Al-sharikh; Samia Al-faifi
EMITTER International Journal of Engineering Technology Vol 14 No 1 (2026)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v14i1.1030

Abstract

Alzheimer's disease (AD) significantly impairs cognitive functions, making independent activities, including Muslim prayers, challenging for patients. This study introduces an innovative Brain-Computer Interface (BCI) system leveraging Electroencephalography (EEG) signals to facilitate prayer practices for individuals with AD. Utilizing a 5-channel EEG headset to monitor attention levels, our system detects alpha and beta wave patterns to assess user focus. When attention diminishes, the system provides guidance to the next prayer step, ensuring continuity and support. Additionally, motion detection technology captures physical movements associated with prayer, enabling the classifier to learn and recognize different prayer postures from a dataset of two individuals. This approach aids AD patients in maintaining religious practices independently while significantly enhancing their psychological well-being by fostering autonomy and spiritual fulfillment. Our findings suggest that integrating EEG-based BCI systems with motion detection offers a promising avenue for supporting daily activities and improving quality of life for individuals with cognitive impairments.
Co-Authors Maha Al-sharikh Samia Al-faifi Sara AlRahili