Advances in Assisted Tool for Autism

Abstract

Children diagnosed with autism, which affects one in every 165 children, are thought to lack or have impairment in some representational sets of abilities. As a result, they have difficulties operating in our highly complex social environment, and are for the most part, unable to understand other people's emotions. People express their emotion states all the time, even when interacting with machines. These emotion states shape the decisions that we make, govern how we communicate with others, and affect our performance. The ability to attribute emotion states to others from their behaviour, and to use that knowledge to guide one's own actions and predict those of others is known as emotion-recognition. To allow children with autism to read and respond to the emotions of people, we propose a computer-based device called Cognitive Assistive Computational-based Emotional State Recognition to assist autistic children to understand, interpret and react to emotions of people they interact with. The system is real-time as the computation time is of vital important to enable real-time interactive training for the system to learn and analyze the human emotions for autistic children.