Design of emotional educational system mobile games for autistic children

The rise and popularization of smartphones resulted in an obvious transition from personal computing to smartphones computing; all while guarding interactivity. Consequently, intelligent instruments can possess a “Facial Emotion Detection” (FED) system and an “Automatic Speech Recognition” (ASR) process. Such performances give new opportunities to develop a variability of software's that would otherwise be impossible. One group that would strongly benefit from the aforementioned applications concerns kids with Autism Spectrum Disorder (ASD). Although most recent educational mobile games targeting autistic children are not emotion-aware, our research laboratory inspects how portable technologies, facial expression recognition, and voice recognition algorithms can help autistic kids learn and improve their academic skills. We have designed a computerized system, “World of Kids” which facilitates the development of behaviour detection software's in portable devices. We aim to identify the mobile user's emotions via facial detection in order to extract the best appropriate and favourable game(s), which may even be a learning game(s). This paper describes the process in designing “World of Kids” and discusses the given results after testing the facial expression recognition application to detect emotion.