Identifying Eye Fixation to Control the Mouse Operations Using Artificial Neural Network

Authors(2) :-K. N. Priyanka, Dr. P. Amudha

Disability is the consequence of an impairment that may be physical, cognitive, mental, sensory, emotional, developmental, or some combination of these. The disability management is a critical task since it is caused by employing a digital system to assist the physically disabled people. This process is completed 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. The Iris tracking is the process of measuring either the point of gaze (where one is looking) or the motion of the eye relative to the head. Face and eye detection algorithm is used to identify and recognize the user input using web camera. The predefined pattern matching is initialized for detecting a face from the USB camera feed. Pattern matching algorithm is used to compute the pattern related to the mouse movement.Supervised learning with back propagation is used to identify the input type and click operation on the particular action event. When the position of the user is sufficiently constant, the system for detecting and analyzing blinks and mouse movements is initialized automatically, depending on the involuntary blink of the user. This approach is efficient for disabled people.

Authors and Affiliations

K. N. Priyanka
PG Scholar, Computer Science and Engineering, Faculty of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Dr. P. Amudha
Associate Professor, Head of the Department Computer Science and Engineering, Faculty of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India

Image Processing, Iris Movement, Supervised learning, Eye detection, Machine learning, Artificial Neural Network

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 968-977
Manuscript Number : CSEIT1833435
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. N. Priyanka, Dr. P. Amudha, "Identifying Eye Fixation to Control the Mouse Operations Using Artificial Neural Network", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.968-977, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833435

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