Assistive Interactive Device using Electro-Oculography |
Author(s): |
| Hemakshi Pawar , G H Raisoni Collage Of Engineering; Girish Talmale, Assistant Professor |
Keywords: |
| Brain-Computer Interface, Electrooculogram, EOG acquisition, natural eye movement detection, Signal Conditioning |
Abstract |
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Detecting eye signal with different eye movement is a difficult task. By implementing this technique as an application for the paralyzed person those who cannot make any body movement or cannot speak. Human brain mainly works on electric signals transmitting all over the body to send the information in order to operate the body parts. Even while rotating eye ball body increases or decreases the resistance near eye area. This variation in electric signals can be measured using EOG dry electrodes. A brain-computer interface (BCI) in a set of hardware devices to reach an interface human brain/computer. This new communication channel only uses brain waves; consequently, it is particularly suitable for Paralyzed person. This project will help paralyzed person to overcome their problem by communicating with doctors through EOG based device. |
Other Details |
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Paper ID: IJSRDV3I21204 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 2293-2296 |
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