Sensor based learning device for children with autism

Abstract

Autism Spectrum Disorder is affecting children under the age of 6–12 at very huge level. In China 1 out of 9000 children and India 23 out of 10,000 children are affected. These children will not be able to attend regular school and they need special attention. There are a few special centers to teach children affected by autism but they follow traditional teaching method. Our objective is to create a sensor based device to offer customized learning content to each child based on their own needs and interest. The influential note about this device is that it consists of inbuilt sensors that have its own corresponding functions such as when one sensor is clicked, it might play the audio content, or when another button is pressed the video content is displayed. Initially, the default content for learning in all formats that is audio, video, graphics, and images is loaded in the device. Just like how all fingers in our hands are of different sizes, not every child will like to learn the content in the same format. Few might like audios and others might opt for videos. When the user starts learning with this device, the number of clicks on each button is noted and stored. Based on the number of clicks we can understand how the user prefers to learn the subject and the device can be customized as per their preferences. In case if the user likes video content when compared with others and feels that it is easy to learn through videos then the device can be personalized for them. The decision tree model is used to detect the learning style of the child and recommends content accordingly. With the help of these methodologies, the mental health of the child is also monitored and a report is given to the parents and mentors. The learning progress and the improvement of the child in academics are also kept on track constantly.