Modular playware as a playful diagnosis tool for autistic children
Publication: Research › Article in proceedings – Annual report year: 2009
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Modular playware as a playful diagnosis tool for autistic children. / Lund, Henrik Hautop.
In: IEEE International Conference on Rehabilitation Robotics, 2009. ICORR 2009.. IEEE, 2009.Publication: Research › Article in proceedings – Annual report year: 2009
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RIS
TY - GEN
T1 - Modular playware as a playful diagnosis tool for autistic children
A1 - Lund,Henrik Hautop
AU - Lund,Henrik Hautop
PB - IEEE
PY - 2009
Y1 - 2009
N2 - 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.
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.
U2 - 10.1109/ICORR.2009.5209606
DO - 10.1109/ICORR.2009.5209606
SN - 978-1-4244-3788-7
BT - IEEE International Conference on Rehabilitation Robotics, 2009. ICORR 2009.
T2 - IEEE International Conference on Rehabilitation Robotics, 2009. ICORR 2009.
ER -