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Sensing-enhanced Therapy System for Assessing Children with Autism Spectrum Disorders: A Feasibility Study
School of Computing, University of Portsmouth, U.K..
School of Computing, University of Portsmouth, U.K..
School of Computing, University of Portsmouth, U.K..
Department of Clinical Psychology and Psychotherapy, Babe-Bolyai University, Cluj-Napoca, Romania.
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2019 (Engelska)Ingår i: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 19, nr 4, s. 1508-1518Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

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. IEEE

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2019. Vol. 19, nr 4, s. 1508-1518
Nyckelord [en]
autism spectrum disorders, autonomy, cameras, instruction sets, medical treatment, robot sensing systems, sensing-enhanced, synchronization, therapy, diseases, instruction set, robot sensing system, human robot interaction
Nationell ämneskategori
Datorseende och robotik (autonoma system)
Forskningsämne
Interaction Lab (ILAB); INF302 Autonoma intelligenta system
Identifikatorer
URN: urn:nbn:se:his:diva-16417DOI: 10.1109/JSEN.2018.2877662ISI: 000457327900036Scopus ID: 2-s2.0-85055705313OAI: oai:DiVA.org:his-16417DiVA, id: diva2:1264371
Tillgänglig från: 2018-11-20 Skapad: 2018-11-20 Senast uppdaterad: 2019-11-18Bibliografiskt granskad

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Billing, ErikZiemke, Tom

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Billing, ErikZiemke, TomThill, Serge
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IEEE Sensors Journal
Datorseende och robotik (autonoma system)

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