2025, Vol. 6, Issue 1, Part A
Eye ball motion controlled automatic wheelchair for paralyzed people
Author(s): Dnyanada Shahasane, Hrishikesh Chougule, Prabhanshee Takbhate, Shubh Sathe 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. The wheelchair was operated by a wiper motor. 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 entire body has been incorporated into the design and construction of the suggested wheelchair.
DOI: 10.22271/27084531.2025.v6.i1a.84
Pages: 32-36 | Views: 49 | Downloads: 15
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How to cite this article:
Dnyanada Shahasane, Hrishikesh Chougule, Prabhanshee Takbhate, Shubh Sathe, Mahesh A Kamthe. Eye ball motion controlled automatic wheelchair for paralyzed people. Int J Res Circuits Devices Syst 2025;6(1):32-36. DOI: 10.22271/27084531.2025.v6.i1a.84
