Sensing-Enhanced Therapy System for Assessing Children With Autism Spectrum Disorders: A Feasibility Study


It is evident that recently reported robot-assisted therapy systems for assessment of children with autism spectrum disorder (ASD) lack autonomous interaction abilities and require significant human resources. This paper proposes a sensing system that automatically extracts and fuses sensory features, such as body motion features, facial expressions, and gaze features, further assessing the children behaviors by mapping them to therapist-specified behavioral classes. Experimental results show that the developed system has a capability of interpreting characteristic data of children with ASD, thus has the potential to increase the autonomy of robots under the supervision of a therapist and enhance the quality of the digital description of children with ASD. The research outcomes pave the way to a feasible machine-assisted system for their behavior assessment.


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Autism, Robots, Sensing


Cai, H., Fang, Y., Ju, Z., Costescu, C., David, D., Billing, E., Ziemke, T., Thill, S., Belpaeme, T., Vanderborght, B. and Vernon, D. (2018) Sensing-enhanced therapy system for assessing children with Autism Spectrum Disorders: a feasibility study. IEEE Sensors Journal. 19 (4), pp. 1508-1518.


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