Controlling Input Device Based On Iris Movement Detection Using Artificial Neural Network

Authors(5) :-Prof. P. Damodharan, P. Aravind, K.Gomathi, R.Keerthana, K. Manisha Samrin

Disability management is a critical task ,it makes a difficult task to the physically disabled people in managing the situations and in controlling the digital system.It can be made efficient by applying a digital signal processing system which takes the analog input from the disabled people by using dedicated hardware with software, and then the raw data is converted it into informative data in the form of digital signal. After converting digital signals, the input processing system classifies the signal and performs the specified tasks, which equates to the prerequisite of the disabled people.

Authors and Affiliations

Prof. P. Damodharan
Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India
P. Aravind
Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India
K.Gomathi
Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India
R.Keerthana
Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India
K. Manisha Samrin
Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India

ENGLISHDigital Processing System, Cognitive Technology, World-Wide Web, Pixelationorpixellation, PSF, EICSRS,CCD

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 634-642
Manuscript Number : CSEIT1722225
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prof. P. Damodharan, P. Aravind, K.Gomathi, R.Keerthana, K. Manisha Samrin, "Controlling Input Device Based On Iris Movement Detection Using Artificial Neural Network", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.634-642 , March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722225

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