학술논문

Gamified Smart Mirror to Leverage Autistic Education - Aliza
Document Type
Conference
Source
2020 2nd International Conference on Advancements in Computing (ICAC) Advancements in Computing (ICAC),2020 2nd International Conference on. 1:428-433 Dec, 2020
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Training
Autism
Neural networks
Writing
Mathematics
Mirrors
Monitoring
Aliza
smart mirror
Convolutional Neural Network (CNN)
emotion detection
pre-writing
Autism Spectrum Disorder (ASD)
Deep Learning
Language
Abstract
Autism is a neurodevelopmental disorder that causes difficulties in communication, emotional responsiveness and social skills. There has been a global increase rate in autism and lack of resources locally to educate ASD children. As this condition affects children at an early stage, it remains a challenge in learning. Even though today's world there are ample of teaching methods and technologies, people are unaware of the use and impact of them. This paper presents “Aliza” Gamified smart mirror to teach basic education for autism children. “Aliza” consists of four core components such as writing mentor for pre-writing, math tutor for mathematics, verbal trainer for speech and attentiveness tracker for emotion detection. These components assist and enhance their competency in education. The users of the “Aliza” will be constantly monitored and evaluated during their training using Convolutional Neural Network (CNN). The interactive games are given to impact their learning process while the generated report from the Deep Learning evaluation system can acquaint parents and the tutors with the progress of the children. Through this research, it is expected to improve autistic children's basic education with assistance of “Aliza”.