The research performed throughout the development of the application is available at the links below:

• IoT and AI-Based Application for Automatic Interpretation of the Affective State of Children Diagnosed with Autism
• Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile Application
• A critical analysis of the technologies used for development of applications dedicated to persons with autism spectrum disorder
• Neural networks - based solutions for predicting the affective state of children with autism
• Machine Learning based Solution for Predicting the Affective State of Children with Autism

Future work

• Improve the machine learning model and increase the dataset of drawings.
• Apply the solution in more Autism Centers in order to improve it based on the analysis of the results in different cases and test the application with the robots in schools or numerous events where children are present.
• Develop the application on other operating systems such as iOS and Web.
• Integrate Virtual Reality, based on the machine learning output from drawing’s interpretation.