An Application for Detection of Dyslexia

Abstract

Dyslexia is a disability that has accumulated more and more attention over the past years. Being able to detect dyslexia early on is essential for decreasing the negative effects it has on people diagnosed with this disability. This master thesis deals with creating a database system of an existing application meant to be used as a screening tool in the process of detecting dyslexia. This is done by developing a web-service, a database and a website to extend the application. The result of this process is an application with a fully functional data collection system and a way to show this data graphically. This master thesis provides the application with a data collection layer that further helps scientists to collect information to study dyslexia. Hopefully, when this application is deployed, the average age of dyslexia detection will be significantly reduced and it will support the study of dyslexia.

The research questions defined for this project are twofold. First, they put focus on the collection of personal data. Secondly, they address the possibilities of implementing a web-service to collect information from the application without any disturbance to the usability in the application Magno. These questions are answered in this report through requirement analysis, design and creation to extend the Magno application and evaluation of the extended system.