多模态感知机器人框架在自闭症儿童物理-音乐互动治疗中的应用

C. Park, M. Jeon, A. Howard
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引用次数: 7

摘要

在美国,患有自闭症谱系障碍(ASD)的儿童人数迅速增加,这表明迫切需要在情感和社会互动领域为患有自闭症谱系障碍的儿童提供治疗。机器人治疗系统有许多方法[1,2],方法和结果都很有趣。然而,ASD的频谱多样性是如此之广,我们仍然需要推进研究,以提供参数化的治疗工具和框架。最近的研究表明,运动前皮层在音乐、情绪和运动行为的神经域之间具有很强的相关性[3,4]。我们假设音乐互动和体育活动可以为儿童情感和社会互动的有效发展提供一个新的治疗领域。为了研究这一具有挑战性的问题,我们建议为机器人开发自主互动方法,以有效地激发儿童的情感和社会互动。这项合作努力的目标是促进与自闭症儿童的情感和社会参与,并为临床医生和家长提供长期和可量化的临床设置的参数化指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robotic framework with multi-modal perception for physio-musical interactive therapy for children with autism
The rapid increase in the population of children with autism spectrum disorder (ASD) in the United States has revealed urgent needs for therapeutic accessibility for children with ASD in the domain of emotion and social interaction. There have been a number of approaches with robotic therapeutic systems [1,2] with intriguing approaches and results. However, the spectral diversity of ASD is so wide that we still need to push forward research to provide parameterized therapeutic tools and frameworks. We focus on the recent studies that reveal strong relevance in premotor cortex among neural domains for music, emotion, and motor behaviors [3,4]. We hypothesize that musical interaction and physical activities can provide a new therapeutic domain for effective development in the children's emotion and social interaction. To investigate this challenging problem, we propose to develop autonomous interaction methods for robots to effectively stimulate the emotional and social interactivity of children. The objectives of this collaborative effort are to promote emotional and social engagement with children with autism as well as provide parametrized metrics for clinicians and parents for prolonged and quantifiable clinical settings.
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