An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism...

Area of Science:

• Neuroscience and Developmental Psychology
• Artificial Intelligence and Machine Learning
• Assistive Technology and Human-Computer Interaction

Background:

• Autism Spectrum Disorder (ASD) presents significant challenges in social skills, communication, and environmental adaptation.
• Current interventions for ASD often lack comprehensive treatment strategies, focusing on social assistance without cures.
• Accurate assessment of cognitive and emotional states in autistic children is difficult, posing a public health challenge.

Purpose of the Study:

• To enhance cognitive abilities and daily living skills in autistic children.
• To maximize functional participation and community integration for children with ASD.
• To develop an intelligent system for monitoring and supporting the adaptation of autistic children.

Main Methods:

• Utilizing Artificial Intelligence (AI) and Internet of Things (IoT) technologies for smart monitoring.
• Implementing a heart rate sensor to predict the child's state and communicate it to guardians via a mobile app.
• Creating a virtual reality environment with 3D models to improve eye contact and reduce fear barriers.

Main Results:

• The proposed AI-enabled IoT system facilitates adaptation to the environment for autistic children.
• The system provides real-time state prediction and guardian alerts, including emotional and behavioral insights.
• The virtual environment shows potential in improving eye contact and social interaction skills.

Conclusions:

• AI and IoT integration offers a novel approach to support autistic children's development.
• The system aids in improving social communication skills, particularly in young children.
• This technology empowers autistic children to function more effectively and engage positively with their community.