DocumentCode :
2180576
Title :
Robot-mediated mixed gesture imitation skill training for young children with ASD
Author :
Zheng, Zhi ; Young, Eric M. ; Swanson, Amy ; Weitlauf, Amy ; Warren, Zachary ; Sarkar, Nilanjan
Author_Institution :
Department of Electrical Engineering and Computer Science, Nashville, TN, USA
fYear :
2015
fDate :
27-31 July 2015
Firstpage :
72
Lastpage :
77
Abstract :
Autism Spectrum Disorder (ASD) impacts 1 in 68 children in the U.S. with tremendous consequent cost in terms of care and treatment. Evidence suggests that early intervention is critical for optimal treatment results. Robots have been shown to have great potential to attract attention of children with ASD and can facilitate early interventions on core deficits. In this paper, we propose a robotic platform that mediates imitation skill training for young children with ASD. Imitation skills are considered to be one of the most important skill deficits in children with ASD, which has a profound impact on social communication. While a few previous works have provided methods for single gesture imitation training, the current paper extends the training to incorporate mixed gestures consisting of multiple single gestures during intervention. A preliminary user study showed that the proposed robotic system was able to stimulate mixed gesture imitation in young children with ASD with promising gesture recognition accuracy.
Keywords :
Autism; Gesture recognition; Pediatrics; Robot sensing systems; Training; Wrist; autism spectrum disorder; gesture recognition; imitation; robot assisted intervention;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Robotics (ICAR), 2015 International Conference on
Conference_Location :
Istanbul, Turkey
Type :
conf
DOI :
10.1109/ICAR.2015.7251436
Filename :
7251436
Link To Document :
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