Visual learning as Object Recognition to Recognize Image for Mental Disorder Children

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Andi Kristanto, Setya Chendra Wibawa, Fernandes Saputra, Un Greffin Namyu, Brian Haessel, Dedy Prasetya Kristiadi, Nizirwan Anwar, Harco Leslie Hendric Spits Warnars

2019 TALE 2019 - 2019 IEEE International Conference on Engineering, Technology and Education Conference paper Cited by 2 Quartile

Abstract

Technology has improved a lot comparing to the previous years. The improvement can be seen from various development of a program that may benefit human life. One example of the advancement of technology is artificial intelligence (AI). AI has taken a considerable part in becoming the primary necessity in computer programming. One famous example of AI is object recognition. An arrangement of codes is established for the machine to recognize a picture that is inputted. Even so, the use of object recognition programs that may help mental disorder children is still low - considering that they are still in the age where education is crucial. However, the standard approach of teaching them is not the right way to make them understand since they need individual adjustments and appropriate training for them to follow. Therefore. We are proposing an application that will help to educate mental disorder children through the use of object recognition in visual learning. The app will have built-in features such as vocalize the object's name, which will help mental disorder children to know and remember how it is pronounced. Other features to further improve the education has guessed the word and draw the object which will help them to understand how the object is shaped. Moreover, Researches have proved that learning visually will help mental disorder children to understand better. © 2019 IEEE.

Affiliations

Universitas Negeri Surabaya, Department of Educational Technology, Jawa Timur, 60213, Indonesia