Individualized edutainment and parent Supportive tool for ADHD children

Samadhi Weerasinghe, Pradeepa Samarasinghe, Vijani Priyawardhana, Achintha Tennakoon, Deneth Anjana, Shanuka Dananjaya

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common behavioral disorders in children, characterized by hyperactivity, inattention, and impulsiveness. ADHD children have major obstacles in time managing, understanding instructions, and inattention to the activities. Because of these problems, ADHD children and their parents inadequate to maintain a normal lifestyle. Some mobile applications have been designed to address only one issue, not the main three issues mentioned earlier. This application implements an individualized output by using continuously trained Machine Learning models and the application has the local language support. By using this application, parents can design a scheduler for their child specifically and parent can get feedback about their child's understandability level and how the instruction should be given to the child. Furthermore, the parent can sense the attention level of the child and the child can get entertain to include education activities according to the favor and their specific timelines. This application allows data collection using the behavior that occurs of the child accompanied by a parent, teachers, and environmental activities. Subsequently, gathered data are trained and modeled under the guidance of doctors and professionals. The results show that this Individualized Edutainment and Parent Supportive application will facilitate to develop a child’s skills. At this point, the application is supporting the local language and it can be extended to the other languages as well. By Doing relevant differences, this application can be applied to other mental and behavioral disorders.