通过舞蹈模仿分析自闭症人群的运动特征，发现社会情境影响是关键生物标志。
Analysis of Motor Signatures of Social Adaptation in Autism for Efficient Human-Centric Systems
- 用动态时间规整量化动作一致性，提出社交情境敏感指数（SCSI）
- 自闭症者在不同情境下动作稳定性更高，神经发育正常者则随社交变化而波动
- 分类准确率达79.2%，适用于人机系统与医疗评估设计
舞蹈模仿融合运动规划、感觉运动整合与社会认知，为表征自闭症运动行为提供了敏感框架。本研究基于自闭症与神经典型成人分别在独奏和双人社交情境下的3D动作捕捉数据，采用动态时间规整（Dynamic Time Warping）量化动作一致性，并提出社交情境敏感指数（SCSI）以衡量社会情境对运动变异性的影响。这些特征用于分类器区分受试者群体。结果显示，神经典型成人于社交情境中上肢与下肢动作变异性显著增加，而自闭症者在不同情境下保持较高动作一致性。分类任务达到79.2%的平衡准确率。结果表明，运动模仿中的社会情境敏感性可作为自闭症相关运动行为的稳健生物标志，强调了社会调节在运动评估中的重要性，并为包容性人本技术开发提供依据。
原文摘要 · Abstract (English)
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.
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