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Autism is a disease that manifests as social communication disorders and repetitive sensory movements. The current incidence of autism continues to rise globally, and the number of children with autism is also increasing. The treatment of autistic children in China is mainly intervention, but experienced autism instructors are lacking. Here, machine learning and artificial intelligence (AI) algorithms are adopted as the technical foundation to build a system that measures the emotional performance of autistic students in the classroom based on actual application scenarios. By analyzing the classroom learning data of autistic children, the students’ emotions can be effectively judged to help teachers evaluate and track their classroom performance and reduce teachers’ burden. Results demonstrate that when the matrix composed of frame sequences and key point coordinates is used as the input, the spatio-temporal graph convolutional network is determined as the principal model of action recognition, with an accuracy of 90%, and the participation score can be obtained by calculating the action response time. In the experimental process of facial expression recognition, the random forest’s classification accuracy of the feature point sequence based on images can reach 99%. Therefore, the random forest is determined as the principal classifier for facial expression recognition. After the relationship between expression intensity, pleasure, and expression category is analyzed, the scoring method is designed. The experiment also discovers that painting can be a rehabilitation therapy for children with autism. The above results can provide a theoretical foundation for the treatment of autistic children.

The contributions of art therapy to treatment, assessment, and research with people who have autism spectrum disorders are presented. An overview of art therapy introduces the reader to the applications and benefits of art therapy, which includes the field's contributions to the knowledge base of autism in the areas of treatment, assessment, and research. The ways in which art therapy can ameliorate symptoms of autism in treatment settings such as schools is described, and applications of art therapy for families and caregivers are presented. Art therapy is discussed as a practical means of assessing symptoms of autism, and the Face Stimulus Assessment is described with support of illustrated case examples. Finally, emerging and expanding areas of art therapy and autism research are delineated, with a focus on the promising intersection of neuroscience and art therapy.