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

Abstract

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.

Description

The Publisher's final version can be found by following the DOI link.

Keywords

Autism, Robots, Sensing

Citation

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.

Rights

Research Institute