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.
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Acknowledgement
This work was supported by the statutory funds of the Faculty of Electronics B50311, Wroclaw University of Science and Technology, Wroclaw, Poland.
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Postawka, A., Śliwiński, P. (2016). A Kinect-Based Support System for Children with Autism Spectrum Disorder. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_17
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DOI: https://doi.org/10.1007/978-3-319-39384-1_17
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