Sensing-enhanced therapy system for assessing children with autism spectrum disorders: A feasibility study
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Number of pages
SourceIEEE Sensors Journal, 19, 4, (2019), pp. 1508-1518
Article / Letter to editor
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SW OZ DCC AI
IEEE Sensors Journal
SubjectCognitive artificial intelligence
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 behaviours by mapping them to therapist-specified behavioural 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 behaviour assessment.
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