Robot-mediated mixed gesture imitation skill training for young children with ASD

Zhi Zheng, Eric M. Young, A. Swanson, A. Weitlauf, Z. Warren, N. Sarkar
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引用次数: 7

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.
机器人介导的幼儿ASD混合手势模仿技能训练
在美国,每68名儿童中就有1名患有自闭症谱系障碍(ASD),随之而来的是护理和治疗方面的巨大成本。有证据表明,早期干预对获得最佳治疗效果至关重要。机器人已经被证明有很大的潜力来吸引自闭症儿童的注意力,并且可以促进对核心缺陷的早期干预。在本文中,我们提出了一个机器人平台,调解模仿技能训练幼儿ASD。模仿技能被认为是ASD儿童最重要的技能缺陷之一,它对社会沟通有着深远的影响。虽然之前的一些工作已经提供了单一手势模仿训练的方法,但本文将训练扩展到在干预期间纳入由多个单一手势组成的混合手势。一项初步的用户研究表明,提出的机器人系统能够刺激自闭症儿童的混合手势模仿,并具有良好的手势识别准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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