DocumentCode :
3725255
Title :
Language for people suffering from complete paralysis based on eye gestures
Author :
Rajesh Kannan Megalingam;Malavika Karath;Vaishnavi Valluri;Aparna Shreedhar;Meghana Katti;Sapna Gurjar;Aiswarya Nair
Author_Institution :
AVVU, Kollam, India
fYear :
2015
Firstpage :
489
Lastpage :
493
Abstract :
The main aim of this research work is to develop means of communication for people with complete paralysis. This is done by making use of the eye movements of the patients as these patients cannot move any other body part. In this paper we discuss about two schemes a YES/NO scheme and a regular scheme. In YES or NO scheme the patient is provided with a list of amenities. One option is displayed at a time wherein the patient can choose either YES or NO through the eye movements. In the regular scheme the patient will be able to form sentences using the eye movements. The eye movements are captured using via camera and tracked using image processing algorithms. The particular eye movement captured is recognized as either YES or NO. On achieving this stage the communicating options are expanded by augmenting more options by implementing the second scheme. The schemes, the image processing algorithms, their implementation, tests and results are provided in detail in the paper.
Keywords :
"Image edge detection","Cameras","Detectors","Face","Computers","Electrooculography"
Publisher :
ieee
Conference_Titel :
Next Generation Computing Technologies (NGCT), 2015 1st International Conference on
Type :
conf
DOI :
10.1109/NGCT.2015.7375167
Filename :
7375167
Link To Document :
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