Eye-Controlled Wheelchair by Eye Coordinates Extraction

@article{1714539,
      author = {Adarsh Ajayan, Saranya S R},
      title = {Eye-Controlled Wheelchair by Eye Coordinates Extraction},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {8},
      pages = {2148-2152},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714539.pdf},
      abstract = {This project deals with a motorized wheelchair designed for those who cannot move their limbs. The project aims to motorize a wheelchair, control the wheelchair's speed, interface a camera module to micro-controller and assign controls to the wheelchair corresponding to the movement of eyeballs. Here the motion of the wheelchair is based on tracking of eyeballs. The camera captures the eyeball movement and is correspondingly coded, so that the wheelchair is moved. This method replaces the joystick mechanism, which cannot be used by paralyzed people. First, the code is tested using Python language using the Open-CV library on Anaconda IDE. Later, it will be tested on the Raspberry Pi module},
      keywords = {Dlib Library, Eye-Tracking, Image Processing, Raspberry Pi.},
      month = {February},
      doi = {https://doi.org/10.64388/IREV9I8-1714539}
  }