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

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