Research on Early Risk Prediction and Implementation Paths of Children with Autism Based on Affective Computing

16 Jul Research on Early Risk Prediction and Implementation Paths of Children with Autism Based on Affective Computing

Posted at 07:01h in 2020, China, Social Sciences by sara

Having participated in Adolescent Robotics Competition in which a dactylophasia robot was designed for the surdomute, which inspired us to do the study with a hope that potential risks of early childhood autism can be predicted and identified so that the autistic children will be identified, treated earlier and they will recover earlier . Beginning with the current risks the autistic children suffer, the study builds an indicator system of the early risks for the children, decides a framework of our study,APP+ cloud computing tools and C and JAVA languages to have established a big data analysis model of affective computing analysis model. And finally, the study developed a safe inexpensive easy software of early risk prediction system of autism.

Category: SOCIAL SCIENCES — Country: CHINA — Year: 2020

Yiwei Liang

Tanqing Li

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