Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/716990
Title: Sensing-Enhanced Therapy System for Assessing Children With Autism Spectrum Disorders: A Feasibility Study
Other Titles: IEEE Sensors Journal
Authors: Haibin Cai|Yinfeng Fang|Zhaojie Ju|Cristina Costescu|Daniel David|Erik Billing|Tom Ziemke|Serge Thill|Tony Belpaeme|Bram Vanderborght|David Vernon|Kathleen Richardson|Honghai Liu
subject: therapy|autonomy|Sensing-enhanced|autism spectrum disorders
Year: -1-Uns- -1
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.
URI: http://localhost/handle/Hannan/716990
ISBN: 1530-437X
volume: Volume
issue: Issue
Appears in Collections:New Ieee 2019

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Title: Sensing-Enhanced Therapy System for Assessing Children With Autism Spectrum Disorders: A Feasibility Study
Other Titles: IEEE Sensors Journal
Authors: Haibin Cai|Yinfeng Fang|Zhaojie Ju|Cristina Costescu|Daniel David|Erik Billing|Tom Ziemke|Serge Thill|Tony Belpaeme|Bram Vanderborght|David Vernon|Kathleen Richardson|Honghai Liu
subject: therapy|autonomy|Sensing-enhanced|autism spectrum disorders
Year: -1-Uns- -1
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.
URI: http://localhost/handle/Hannan/716990
ISBN: 1530-437X
volume: Volume
issue: Issue
Appears in Collections:New Ieee 2019

Files in This Item:
File Description SizeFormat 
08502783.pdf3.59 MBAdobe PDFThumbnail
Preview File
Title: Sensing-Enhanced Therapy System for Assessing Children With Autism Spectrum Disorders: A Feasibility Study
Other Titles: IEEE Sensors Journal
Authors: Haibin Cai|Yinfeng Fang|Zhaojie Ju|Cristina Costescu|Daniel David|Erik Billing|Tom Ziemke|Serge Thill|Tony Belpaeme|Bram Vanderborght|David Vernon|Kathleen Richardson|Honghai Liu
subject: therapy|autonomy|Sensing-enhanced|autism spectrum disorders
Year: -1-Uns- -1
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.
URI: http://localhost/handle/Hannan/716990
ISBN: 1530-437X
volume: Volume
issue: Issue
Appears in Collections:New Ieee 2019

Files in This Item:
File Description SizeFormat 
08502783.pdf3.59 MBAdobe PDFThumbnail
Preview File