Open AccessPersonify Educational Assistance Application for Special Children using Deep Learning
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f1105.0486s419
Subject(s) - python (programming language) , deep learning , computer science , artificial intelligence , anxiety , psychology , learning disability , facial recognition system , multimedia , applied psychology , developmental psychology , feature extraction , psychiatry , operating system
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