Eye tracking system for controlling home devices

Abderrahman Boudiaf; Abdullah Al-Amodi; Abdulaziz Alfahl; Talal Bonny; Wafaa Al Nassan

doi:10.1117/12.3028926

20 June 2024 Eye tracking system for controlling home devices

Abderrahman Boudiaf, Abdullah Al-Amodi, Abdulaziz Alfahl, Talal Bonny, Wafaa Al Nassan

Proceedings Volume 13000, Real-time Processing of Image, Depth, and Video Information 2024; 130000Q (2024) https://doi.org/10.1117/12.3028926
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

Approximately 15% of the world's population faces some form of disability, with 2-4% experiencing significant challenges in using their hands and legs to meet their daily needs. This global estimate for disabilities is rising, primarily due to an aging population and the increasing prevalence of chronic diseases. Nonetheless, individuals with disabilities can still contribute as self-reliant members of society. In this paper, we present a system designed to empower people with disabilities by enabling them to independently perform daily tasks by precisely controlling their home devices using only their eye movements. The system comprises an infrared (IR) camera and a Raspberry Pi, which processes live video captured by the IR camera and performs eye-tracking tasks using the OpenCV library for Python. A microcontroller (Arduino) is linked to the home devices, enabling them to be controlled based on commands received from the Raspberry Pi.

Citation Download Citation

Abderrahman Boudiaf, Abdullah Al-Amodi, Abdulaziz Alfahl, Talal Bonny, and Wafaa Al Nassan "Eye tracking system for controlling home devices", Proc. SPIE 13000, Real-time Processing of Image, Depth, and Video Information 2024, 130000Q (20 June 2024); https://doi.org/10.1117/12.3028926

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