2025, Vol. 6, Issue 1, Part A
Eye ball motion controlled automatic wheelchair for paralyzed people1
Author(s): Dnyanada Shahasane, Hrishikesh Chougule, Prabhanshee Takbhate, Shubh Satheand and Mahesh A Kamthe
Abstract: By utilizing the capabilities of the Raspberry Pi microprocessor, this proposed model aims to provide a new method of controlling a wheelchair by eye ball movement. By employing image processing techniques to identify and track the user's eye movements, this proposed model offers a novel way to control a wheelchair using eye ball movement. The device employs image processing techniques to determine the user's eye movement and direction after taking pictures of their eyes with a camera. The wheelchair is then controlled by commands derived from the identified eye movements. The suggested approach may offer those with mobility disabilities a more straightforward and easy-to-use method of controlling their wheelchair. The masking technique is being applied here. The wheelchair moves to the left when the eye is pointed that way. The wheelchair goes in the right way when the eye is pointed in that direction. A wiper motor powered the wheelchair. It is challenging to use an automatic wheelchair or crutches, and the previously developed automatic wheelchairs that are now on the market are not accessible to physically disabled people. The goal of this research project is to suggest an automated wheelchair system that makes life easier for users. The proposed wheelchair has been designed and built with the full body in mind.
DOI: 10.22271/27084531.2025.v6.i1a.86
Pages: 41-45 | Views: 51 | Downloads: 24
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How to cite this article:
Dnyanada Shahasane, Hrishikesh Chougule, Prabhanshee Takbhate, Shubh Satheand, Mahesh A Kamthe. Eye ball motion controlled automatic wheelchair for paralyzed people1. Int J Res Circuits Devices Syst 2025;6(1):41-45. DOI: 10.22271/27084531.2025.v6.i1a.86
