Abstract— Autism is a term used for representing neuro-developmental disorder characterized by impaired social interaction, verbal and non-verbal communication, restricted and repetitive behavior. AI expert system helps in diagnosis of children with ASD and provides families with early intervention. Such systems require external sensors to monitor child's posture, expressions, heart rate, breathing, etc. Human instructors have a lot of inconsistencies that imposes undesired impacts on the learning progress of individuals with ASD whereas the AI expert systems are good at providing predictable environment which is typically better for them to learn. These expert systems emphasize only on general learning and social interactions but they don’t
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They stretch from the military for autonomous control and target identification, to the entertainment industry for computer games and robotic pets. Let’s also not forget big establishments dealing with huge amounts of information such as hospitals, banks and insurances, which can use AI to predict customer behavior and detect trends. AI reduces the burden of physical challenged people and makes their life an easy one to live in. Now AI is helping kids with autism to face the world, by teaching them how to behave? How to interact? How to …show more content…
Their performance to identify LD of a kid was combined with that of a human expert in that field.
Artificial Neural Network (ANN) and Support Vector Machine (SVM) which are the classification techniques used in AI doesn’t help kids with learning disabilities. Both ANN and SVM lacked accuracy in diagnosis of kids. In-order to help in diagnosis of children with LD, an expert system was designed. It is a web based solution which uses agent based neural nets to diagnose kids with ASD. It is available in all languages. The system maintains detailed report of the child and mails out those records to the child's parents and doctors for further treatment.
The system uses learned knowledge and heuristics to evaluate child. Once if the system determines the deficiencies of the kid, it teaches how to improve vocabulary and interaction between family members and therapist. II. TUTORING SOFTWARE FOR ASD KIDS
Motivation is the key factor for one to learn. The software must be designed in such a way that it should motivate the child and it should keep the child intrigued to learning. In addition to this it must also require external sensors to
They stretch from the military for autonomous control and target identification, to the entertainment industry for computer games and robotic pets. Let’s also not forget big establishments dealing with huge amounts of information such as hospitals, banks and insurances, which can use AI to predict customer behavior and detect trends. AI reduces the burden of physical challenged people and makes their life an easy one to live in. Now AI is helping kids with autism to face the world, by teaching them how to behave? How to interact? How to …show more content…
Their performance to identify LD of a kid was combined with that of a human expert in that field.
Artificial Neural Network (ANN) and Support Vector Machine (SVM) which are the classification techniques used in AI doesn’t help kids with learning disabilities. Both ANN and SVM lacked accuracy in diagnosis of kids. In-order to help in diagnosis of children with LD, an expert system was designed. It is a web based solution which uses agent based neural nets to diagnose kids with ASD. It is available in all languages. The system maintains detailed report of the child and mails out those records to the child's parents and doctors for further treatment.
The system uses learned knowledge and heuristics to evaluate child. Once if the system determines the deficiencies of the kid, it teaches how to improve vocabulary and interaction between family members and therapist. II. TUTORING SOFTWARE FOR ASD KIDS
Motivation is the key factor for one to learn. The software must be designed in such a way that it should motivate the child and it should keep the child intrigued to learning. In addition to this it must also require external sensors to