A kinect-based support system for children with autism spectrum disorder

Abstract

Since the number of autistic children births increases each year, Autism Spectrum Disorder has become a serious community problem. In this paper we present the development of an integrated system for children with autism (surveillance, rehabilitation and daily life assistance). The hierarchical classifier for human position recognition has been developed and the scalable symbols codebook for Hidden Markov Models has been created. For data acquisition Microsoft Kinect 2.0 depth sensor is used. A few experiments for basic action models have been conducted and the preliminary results are satisfactory. The obtained classifiers will be used in further work.