Abstract
People with tetraplegia are unable to move any body parts below the neck. The eye-controlled wheelchair system uses a revolutionary technique. This system's major goal is to make it unnecessary for impaired people to need help. With this technique, a disabled person can steer their wheelchair by their eye movement. The webcam is placed in front of the person, and image processing technique is used to track the position of the pupil in the left or right eye. According to pupil motions, the motor driver will be instructed to go forward, left and right. Additionally, a front-mounted ultrasonic sensor that can detect obstructions and automatically halt wheelchair movement is mounted for safety reasons. The system is monitored by a Raspberry Pi device, which lowers the cost.
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Viswanatha, V., Ramachandra, A.C., Reddy, G.L., Reddy, A.V.S.T., Reddy, B.P.K., Kiran, G.B. (2024). Intelligent Camera-Based Eye-Controlled Wheelchair System: Raspberry Pi and Advanced Algorithms. In: Shetty, N.R., Prasad, N.H., Nagaraj, H.C. (eds) Advances in Communication and Applications . ERCICA 2023. Lecture Notes in Electrical Engineering, vol 1105. Springer, Singapore. https://doi.org/10.1007/978-981-99-7633-1_3
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