Affect-Learn: An IoT-based Affective Learning Framework for Special Education

A learning disorder is associated with the ability of the child to process the information effectively. The purpose of special education is to provide equal access to education for all children to help them succeed in the regular curriculum through specialized services. Children with anxiety, hyperactive, or attention-delicit disorders require special assistance to help them stay at their normal level and thus effectively suit in a classroom setting. With the advancement in technology, the landscape of special education is rapidly changing The motivation for this research is to develop an Internet of Things-based affective computing framework, Affect-learn, that can help teachers in identifying the hyperactivity or inattentiveness in children, and help them improve the overall learning outcomes. The proposed research is validated with the help of commercially available off the shelf components. The measure of success in this research is the response time of the proposed framework and the efficiency of emotion elicitation.