Communication Platform for Non-verbal Autistic children in Oman using Android mobile
Amna Al-Araimi, Yue Zheng, Haiming Liu
TL;DR
The paper addresses non-verbal autism communication challenges in Oman and the lack of Arabic-language, integrated assistive tools. It presents an Android mobile plus web-panel platform that fuses voice communication aids with a Content-Based Image Retrieval (CBIR) module and Arabic content, developed via iterative prototyping and validated with therapists and caregivers. Preliminary findings show that culturally and linguistically adapted image-voice interfaces enhance engagement and expression, with CBIR showing potential for dynamic content recommendations. The work advances culturally sensitive, multimodal assistive technology and informs subsequent improvements toward scalable, personalized communication supports for ASD.
Abstract
This paper discusses the issue regarding Non-verbal Autism Spectrum Disorder. It has been observed that this mental disorder is listed in major parts of the world including the US, UK, and India. To mitigate this type of disorder, a wide range of smartphones, computers, and artificial intelligence technologies have been used. This technology has helped the population cope with socialization and communication needs. Many applications have been developed to enhance the communication capabilities of non-verbal autistic children. This thesis project proposes the development of a platform that includes a web panel and an Android mobile application to assist non-verbal autistic children in communication, especially in Oman. Different interventions have been merged to improve the quality of life for people on the autism spectrum. The main problem identified in this case is that fragmented approaches are not suitable for autistic children. The augmented reality framework provides the capability to engage autistic children in creative play and self-reflection through interactive screen-based activities.