Poster + Paper
20 June 2024 An eye tracking system for controlling home devices
Author Affiliations +
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.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abderrahman Boudiaf, Abdullah Alamoodi, Abdulaziz AlFahl, Talal Bonny, and Wafaa Al Nassan "An 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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KEYWORDS
Eye

Infrared cameras

Cameras

Displays

Control systems

Infrared imaging

Fluctuations and noise

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