Personify Educational Assistance Application for Special Children using Deep Learning
S. Sankara Gomathi1, A. Amutha2, M. Jayapraksan3

1S. Sankara Gomathi, Department of Electronics and Communication Engineering, Veltech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai (TamilNadu), India.

2A. Amutha, Assistant Professor, Ramanujan Centre for higher Mathematics, Alagappa University, Karaikudi (TamilNadu), India.

3M. Jayapraksan, Joint Director, Directorate General of Training, Ministry of Skill Development and Entrepreneurship, Govt. of India, New Delhi, India.

Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 July 2019 | PP: 502-506 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F11050486S419/19©BEIESP | DOI: 10.35940/ijitee.F1105.0486S419

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Abstract: Despite various Stand-alone educational assistance application for normal children but for the special children it was an exceptional case still, so this children with (Anxiety Disorder, ADHD, Learning Disabilities) find difficult to learn for long hours without getting distracted. A caretaker is needs to be with them at all the time in order to engage them in studying efficiently. Using this technology at its best, Deep Learning can be used to monitor the children when they are distracted and their attention can be drawn back by imposing volunteer distractions on the screen based on the concept of Face Recognition (in terms of facial expressions). The work has been implemented using python & OpenCV platform. By using this, The scanned image i.e. testing dataset is being compared to training dataset and thus emotion is predicted for incorporating with assisting component.

Keywords: Deep Learning, ADHD, Face Recognition, OpenCV.
Scope of the Article: Deep Learning