A Mobile Based Activity Recommendation System for Autism Patients

Today, specialists and governments dealing with Pervasive Development Disorder (PDD) are trying to minimize the experienced problems of the individuals with educational methods chosen carefully after extensive research. However, because of various reasons the families of those who cannot reach these organizations are trying to give appropriate education at home. During these trainings while selecting the educational methods, the families prefer Internet and related software solutions. Recently, many mobile applications are available in mobile applications markets about PDD education. The thesis is about developing a mobile application recommendation system to suggest most appropriate mobile applications of the PDD children to help their families in their children education. Most important PDD recently seen is Autism Spectrum Disease (ASD) which is the target audience for our thesis. However, they have different functionalities and purposes for educating the children with ASD such as; build fine motor skills, develop interactive skills etc. via mobile applications. The aim of this thesis are: (1) develop insufficient skills of the children with ASD through appropriate mobile applications and physical activities, (2) support ASD specialist or teachers to send appropriate tests for their students through system functions and get answers from parents’ mobiles and follow the analysis of results, (3) find special educational mobile applications in mobile markets to support parents and specialties during education of children with ASD, (4) support parents by suggesting appropriate educational mobile applications and physical activities as homework. Keywords: Autism Spectrum Disease, Recommendation Systems, Education, E-learning, Mobile Applications.