用NAO机器人和人类动作识别器来改善自闭症谱系障碍儿童的模仿技能
Abeer Alnafjan1, Maha Alghamdi2, Noura Alhakbani2
1Computer Science Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia.
Diagnostics (Basel, Switzerland)
|January 11, 2025
概括
机器人技术有效地提高了自闭症谱系障碍 (ASD) 儿童的模仿技能. 这项技术支持治疗师,并增强了对ASD的传统干预方法.
科学领域:
- 机器人技术在发育障碍干预中的应用.
- 人机交互用于治疗应用.
背景情况:
- 自闭症谱系障碍 (ASD) 是一种影响社会技能和互动的发育状况.
- 对于自闭症的传统干预需要密集的专业监督.
- 辅助技术,人工智能和机器人技术为ASD培训提供了潜在的改进.
研究的目的:
- 调查机器人技术是否可以提高ASD儿童的模仿技能.
- 评估机器人在ASD会议期间支持治疗师的实用性.
主要方法:
- 使用NAO机器人设计手掌模仿训练场景.
- 在治疗课程期间分析儿童与机器人的互动.
- 开发一种深度学习方法来识别人类行为,以评估模仿.
主要成果:
- 一个深度学习模型已成功开发用于分析拍手模仿.
- 该研究表明,在ASD中使用机器人进行有针对性的技能培训的可行性.
结论:
- 将机器人技术纳入治疗实践可以显著提高ASD儿童的模仿技能.
- 机器人干预为治疗自闭症患者的治疗师提供了宝贵的补充支持.
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