Eye Gaze Controlled Wheelchair With Health Monitoring System Using Raspberry Pi

Electronics And Communication Engineering

This paper proposes a system designed to help those with disabilities. To assist those with disabilities, an electric wheelchair that is operated by eye movement has been designed. People with disabilities can move around with ease and not require assistance from others thanks to this method. Through the use of a gaze estimation algorithm and image processing, the system analyzes the eye image to detect the gaze direction. With its high level of accuracy, the gaze estimation algorithm combines the functions of two different algorithms—Canny Edge detection and Hough Transform—to achieve a single goal. A raspberry pi processor was used for image processing to track the location of the pupils in both eyes after a webcam was set up in front of the subject to record their live movements. Here, OpenCV is being utilized for the image processing method known as gaze tracking.

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