Experimental explorations on EOG signal processing for realtime applications in labview

Nearly all the disabled persons are dissuaded from using personal computers due to their powerlessness to make use of a hand-controlled mouse. In this case, if directional discrimination of a mouse pointer can be achieved, these individuals would be gifted to take on the functions of a mouse without employing hands. .The aim of this proposed work is to introduce the mouse cursor control system using Electrooculogram (EOG) signals. We acquire the physiological signals due to eye movements that can be used as a pointer to show the directional discrimination and the signal is analyzed with LabVIEW data acquisition software.

[1]  R. Koggalage,et al.  Control of mouse movements using human facial expressions , 2007, 2007 Third International Conference on Information and Automation for Sustainability.

[2]  Maria Brai,et al.  A study of the human rod and cone electroretinogram a-wave component , 2009 .

[3]  Kang Ryoung Park,et al.  A robust eye gaze tracking method based on a virtual eyeball model , 2008, Machine Vision and Applications.

[4]  Li Chengwei,et al.  The Study on Virtual Medical Instrument based on LabVIEW , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[5]  M. Bach,et al.  ISCEV Standard for full-field clinical electroretinography (2008 update) , 2009, Documenta Ophthalmologica.

[6]  M. Miyashita,et al.  Mouse cursor control system using electrooculogram signals , 2010, 2010 World Automation Congress.

[7]  Gerhard Tröster,et al.  Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments , 2009, J. Ambient Intell. Smart Environ..

[8]  Sourabh Kanwar Real Time Eye Tracking and Mouse Control for Physically Disabled , 2009 .

[9]  Sharda A. Chhabria,et al.  EYE MOTION TRACKING FOR WHEELCHAIR CONTROL , 2010 .