An Augmentative System with Facial and Emotion Recognition for Improving the Skills of Children with Autism Spectrum Disorders

• Other Authors: Alharbi, Mohammed N. (author)
• Format: Others
• Language: English
• Published: Florida Atlantic University
• Subjects: Autism spectrum disorders; Human-computer interaction; Mobile apps
• Online Access: http://purl.flvc.org/fau/fd/FA00005981

Autism spectrum disorders (ASDs) are one of the complex, pervasive, and multifactorial neurodevelopmental conditions which affect one in 68 children. Scientific research has proven the efficiency of using technologies to improve communication and social skills of autistic children. The use of technological devices, such as mobile applications and multimedia, increase the interest of autistic children to learn while playing games. This thesis presents the re-engineering, extension, and evolution of an existing prototype Windows-based mobile application called Ying to become an Android mobile application which is augmented with facial and emotion recognition. This mobile app complements different approaches of traditional therapy, such as Applied Behavior Analysis (ABA). Ying integrates different computer-assisted technologies, including speech recognition, audio and visual interaction, and mobile applications to enhance autistic children’s social behavior and verbal communication skills. An evaluation of the efficacy of using Ying has been conducted and its results are presented in the thesis. === Includes bibliography. === Thesis (M.S.)--Florida Atlantic University, 2018. === FAU Electronic Theses and Dissertations Collection