发表机构
Institute of Systems and Robotics, University of Coimbra; Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT) of the University of Coimbra; Intelligent Systems Associate Laboratory (LASI); Institute of Physiology, Faculty of Medicine, University of Coimbra（科英布拉大学系统与机器人研究所; 科英布拉大学生物医学成像与转化研究科英布拉研究所（CIBIT）; 智能系统联合实验室（LASI）; 科英布拉大学医学院生理学研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过分析舞蹈模仿任务的运动数据，提出SCSI指数，以79.2%的平衡准确率区分自闭症与神经典型成人，发现社会情境敏感性可作为自闭症运动行为的生物标志物，为开发包容性以人为中心技术提供支撑。
AI 中文摘要
舞蹈模仿整合了运动规划、感觉运动整合与社会认知，为表征自闭症患者的运动行为提供了敏感框架。本研究探索一种计算分析框架，以识别潜在生物标志物，助力开发改进的医疗系统与人机系统。我们分析了自闭症成人和神经典型成人在单独及社交情境下的双人舞蹈模仿任务中的三维动作捕捉数据。方法上，采用动态时间规整（Dynamic Time Warping）量化运动一致性，并提出社会情境敏感性指数（Social Context Sensitivity Index, SCSI）以衡量社交情境对运动变异性的调节作用。将上述特征输入分类器，以区分受试者属于自闭症组还是神经典型组。结果显示，神经典型成人在社交情境模仿中表现出更高的运动变异性，尤其在上肢和下肢；而自闭症成人在不同情境下均保持一致的运动模式。分类任务的平衡准确率达到79.2%，可有效区分两组。这些发现表明，运动模仿中的社会情境敏感性构成了与自闭症相关运动行为的可靠生物标志物，凸显了社交调节在运动评估中的重要性，并为开发包容性的以人为中心技术提供了依据。
英文摘要
Dance imitation integrates motor planning, sensorimotor integration, and social cognition, offering a sensitive framework to characterize motor behavior in autism. In this work, we explore a computational analysis framework to identify potential biomarkers that allow the design and development of improved medical and human-machine systems. We analyzed 3D motion capture data from autistic and neurotypical adults performing dance imitation under solo and socially-framed duo conditions. Methodologically, using Dynamic Time Warping, we quantified movement consistency and propose the Social Context Sensitivity Index (SCSI) to measure modulation of variability by social framing. These features were then used on a classifier to discriminate subjects into autistic or neurotypical groups. Results show that neurotypical adults exhibited increased movement variability in socially-framed imitation, especially in upper and lower limbs, whereas autistic adults maintained consistent movement across contexts. Classification achieved 79.2% balanced accuracy in distinguishing groups. These findings suggest that social context sensitivity in motor imitation constitutes a robust biomarker of autism-related motor behavior, highlighting the importance of social modulation in motor assessments and informing the development of inclusive human-centric technologies.
CommentsAccepted at IEEE SMC2026
