Mining Technique for the Behavior Analysis of Autistic Children

Autor: R. Subalakshmi
Rok vydání: 2020
Předmět:
Zdroj: 2020 International Conference on Inventive Computation Technologies (ICICT).
Popis: This paper inspect the behavior of Autistic Children activities using Applied Behavior Analysis (ABA) therapy, PECS (Picture Exchange Communication System) and Social Story. Information is collected by behavioral intrusion while training children diagnose with autism spectrum disorder. Symptoms such as developmental disabilities, tremendous extraction, and lack of social activities are the characterized as the symptoms for this disorder. The symptom differs from ordinary person to serve. Therapy needs to be individualized because of large variety of symptoms. On the other hand, the training techniques involves Applied Behavioral Analysis (ABA), PECS (Picture Exchange Communication System) and Social Stories. Data Mining Techniques analyzes the improvement of the children and it helps them in humanizing their behavior.
Databáze: OpenAIRE