Modular playware as a playful diagnosis tool for autistic children

Henrik Hautop Lund

doi:10.1109/ICORR.2009.5209606

Modular playware as a playful diagnosis tool for autistic children

Henrik Hautop Lund

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Abstract

Based upon user-configurable modular robotics and design principles for modular playware, we developed modular robotic tiles to be used as playful, interactive tools for children with autism. The modular playware can make automatic documentation of the construction play activities by the autistic children. Using artificial neural networks for automatic classification of the individual construction practices, we may compare this classification with the diagnosis of the children, and possible obtain a supplementary diagnosis tool which is based on the autistic children's free play with the modular robotic tiles. Preliminary experiments with 7 autistic children show that the automatic neural network classification with post-processing can be done with a 100% accuracy for this small sample set, and thereby give some preliminary indications of the potential of the approach.

Original language	English
Title of host publication	IEEE International Conference on Rehabilitation Robotics, 2009. ICORR 2009.
Publisher	IEEE
Publication date	2009
ISBN (Print)	978-1-4244-3788-7
DOIs	https://doi.org/10.1109/ICORR.2009.5209606
Publication status	Published - 2009
Event	2009 IEEE 11th International Conference on Rehabilitation Robotics - Kyoto International Conference Center, Kyoto, Japan Duration: 23 Jun 2009 → 26 Jun 2009 http://www.icorr2009.org/

Conference

Conference	2009 IEEE 11th International Conference on Rehabilitation Robotics
Location	Kyoto International Conference Center
Country/Territory	Japan
City	Kyoto
Period	23/06/2009 → 26/06/2009
Internet address	http://www.icorr2009.org/

Bibliographical note

Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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10.1109/ICORR.2009.5209606

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title = "Modular playware as a playful diagnosis tool for autistic children",

abstract = "Based upon user-configurable modular robotics and design principles for modular playware, we developed modular robotic tiles to be used as playful, interactive tools for children with autism. The modular playware can make automatic documentation of the construction play activities by the autistic children. Using artificial neural networks for automatic classification of the individual construction practices, we may compare this classification with the diagnosis of the children, and possible obtain a supplementary diagnosis tool which is based on the autistic children's free play with the modular robotic tiles. Preliminary experiments with 7 autistic children show that the automatic neural network classification with post-processing can be done with a 100% accuracy for this small sample set, and thereby give some preliminary indications of the potential of the approach.",

author = "Lund, {Henrik Hautop}",

note = "Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 2009 IEEE 11th International Conference on Rehabilitation Robotics, ICORR 2009 ; Conference date: 23-06-2009 Through 26-06-2009",

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AB - Based upon user-configurable modular robotics and design principles for modular playware, we developed modular robotic tiles to be used as playful, interactive tools for children with autism. The modular playware can make automatic documentation of the construction play activities by the autistic children. Using artificial neural networks for automatic classification of the individual construction practices, we may compare this classification with the diagnosis of the children, and possible obtain a supplementary diagnosis tool which is based on the autistic children's free play with the modular robotic tiles. Preliminary experiments with 7 autistic children show that the automatic neural network classification with post-processing can be done with a 100% accuracy for this small sample set, and thereby give some preliminary indications of the potential of the approach.

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M3 - Article in proceedings

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BT - IEEE International Conference on Rehabilitation Robotics, 2009. ICORR 2009.

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T2 - 2009 IEEE 11th International Conference on Rehabilitation Robotics

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ER -

Modular playware as a playful diagnosis tool for autistic children

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