• Haibin Cai
  • Yinfeng Fang
  • Zhaojie Ju
  • Cristina Pop
  • Daniel David
  • Erik Billing
  • Tom Ziemke
  • Serge Thill
  • Tony Belpaeme
  • Bram Vanderborght
  • David Vernon
  • Kathleen Richardson
  • Honghai Liu
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.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.
Original languageEnglish
Article number8502783
Pages (from-to)1508-1518
Number of pages11
JournalIEEE Sensors Journal
Volume19
Issue number4
DOIs
Publication statusPublished - 15 Feb 2019

    Research areas

  • Cameras, Instruction sets, Medical treatment, Robot sensing systems, Sensing-enhanced, Synchronization, Therapy, autism spectrum disorders, autonomy

ID: 43855117