一种基于运动特征的动态视觉设计方案,用于将体现的太极知识转化为非物质文化遗产传播
A Motion-Feature-Informed Dynamic Visual Design Protocol for Translating Embodied Tai Chi Knowledge into Intangible Cultural Heritage Communication.
A Motion-Feature-Informed Dynamic Visual Design Protocol for Translating Embodied Tai Chi Knowledge into Intangible Cultural Heritage Communication.
本方案描述了一套可重复的工作流程,用于将具身太极拳动作转化为动态视觉设计,以支持基于动作的非物质文化遗产传播。作为一种基于动作的文化实践,太极拳通过身体节奏、运动轨迹、重心转移和平衡来传递知识,这些方面往往难以用传统的静态或视频媒介进行传播。本方案整合了无标记动作捕捉、动作特征提取和基于规则的视觉映射,将动作特征转化为动态视觉表征。采用无标记动作捕捉记录了八种代表性太极拳套路。使用MediaPipe Pose提取身体关键点并进行分析,以推导动作特征,包括轨迹曲率、动作流畅度和节奏稳定性。通过动作特征驱动的视觉转译框架,将这些特征系统地映射到动态视觉变量。为评估该方法的有效性,开展了一项涉及180名参与者的对照实验,比较了三种传播条件:静态图形、传统视频和动作数据驱动的动态视觉设计。结局指标包括知识增益、动作识别、具身理解以及与文化遗产保护和分享相关的行为意向。对264条有效动作序列的分析显示,不同太极拳套路之间的动作特征轮廓存在显著差异。动态视觉设计条件在知识增益、动作含义识别和具身理解方面均显著优于静态图形和传统视频条件(均p < 0.001)。结构模型进一步表明,感知设计质量主要通过具身理解、审美参与和情感共鸣影响保护和分享意向。本方案提供了一种系统化方法,将具身动作知识转化为动态视觉形式,用于基于动作的非物质文化遗产的传播与阐释。
This protocol describes a reproducible workflow for translating embodied Tai Chi movements into dynamic visual designs to support the communication of movement-based intangible cultural heritage. As a movement-based cultural practice, Tai Chi conveys knowledge through bodily rhythm, trajectory, weight transfer, and balance, aspects that are often difficult to communicate using conventional static or video-based media. The protocol integrates markerless motion capture, motion-feature extraction, and rule-based visual mapping to transform movement characteristics into dynamic visual representations. Eight representative Tai Chi forms were recorded using markerless motion capture. Body keypoints were extracted with MediaPipe Pose and analyzed to derive motion features, including trajectory curvature, movement smoothness, and rhythm stability. These features were systematically mapped to dynamic visual variables through a motion-feature-informed visual translation framework. To evaluate the effectiveness of the approach, a controlled experiment involving 180 participants compared three communication conditions: static graphics, conventional videos, and motion-data-driven dynamic visual designs. Outcome measures included knowledge gain, movement recognition, embodied understanding, and behavioral intentions related to cultural preservation and sharing. Analysis of 264 valid movement sequences revealed substantial variation in motion-feature profiles across Tai Chi forms. The dynamic visual design condition significantly outperformed the static graphic and conventional video conditions in knowledge gain, movement-meaning recognition, and embodied understanding (all p < 0.001). Structural modeling further indicated that perceived design quality influences preservation and sharing intentions primarily through embodied understanding, aesthetic engagement, and emotional resonance. This protocol provides a systematic method for converting embodied movement knowledge into dynamic visual forms for the communication and interpretation of movement-based intangible cultural heritage.
Xiaofan Xue, Zeyu Liu. A Motion-Feature-Informed Dynamic Visual Design Protocol for Translating Embodied Tai Chi Knowledge into Intangible Cultural Heritage Communication.. Journal of visualized experiments : JoVE. 2026; doi:10.3791/72430.
Xiaofan Xue, Zeyu Liu (2026). A Motion-Feature-Informed Dynamic Visual Design Protocol for Translating Embodied Tai Chi Knowledge into Intangible Cultural Heritage Communication.. Journal of visualized experiments : JoVE. https://doi.org/10.3791/72430
Xiaofan Xue, Zeyu Liu. A Motion-Feature-Informed Dynamic Visual Design Protocol for Translating Embodied Tai Chi Knowledge into Intangible Cultural Heritage Communication.[J]. Journal of visualized experiments : JoVE, 2026 doi:10.3791/72430.
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