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

Authors

  • 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

Keywords:

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

Abstract

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

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How to Cite

[1]
Prof. P. Damodharan, P. Aravind, K.Gomathi, R.Keerthana, K. Manisha Samrin, " Controlling Input Device Based On Iris Movement Detection Using Artificial Neural Network, IInternational 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.