Detecting eye movement direction from stimulated Electro-oculogram by intelligent algorithms

@article{Banerjee2012DetectingEM,
  title={Detecting eye movement direction from stimulated Electro-oculogram by intelligent algorithms},
  author={Ashmi Banerjee and Amit Konar and D. N. Tibarewala and Ramadoss Janarthanan},
  journal={2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)},
  year={2012},
  pages={1-6}
}
To improve the quality of life of many physically challenged people Human computer interfacing is an emerging alternative. Human computer interface such as intelligent rehabilitation aids can be controlled by eye movements. It can be helpful for severely paralyzed people. Electro-oculography is a simple method to track eye movements. Electro-oculogram (EOG) is the biopotential produced in the surrounding region of eye due to eye ball movements. The signal is easy to acquire using surface… CONTINUE READING