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A Framework for the Analysis of Biomechanical Loading Using Human Motion Tracking

机译:使用人体运动跟踪分析生物力学负荷的框架

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In this work, a feedback system for biomechanical load analysis based on joint angles and execution duration of recognized motions is described. For automatic analysis, the system must be set up by experts for the respective application case. The system can be trained individually to recognize motion sequences and parameterized with critical joint angle ranges and times for the evaluation. The system processes Cartesian joint positions, which can be captured by different types of motion tracking systems. The data processing steps filtering, normalization, feature extraction, classification, and segmentation are described. For classification, a Support Vector Machine with polynomial kernel is used that achieves a recognition accuracy up to 87% for 19 different gymnastic motions. In conclusion, a system with an associated user interface is shown, which is able to assist and analyze the user in motion sequences.
机译:在这项工作中,描述了一种基于关节角度和已识别运动的执行持续时间的生物力学负荷分析反馈系统。为了进行自动分析,必须由专家为相应的应用案例设置系统。该系统可以单独训练以识别运动序列,并通过关键关节角度范围和时间进行参数化以进行评估。该系统处理笛卡尔关节位置,该位置可以通过不同类型的运动跟踪系统捕获。描述了数据处理步骤的过滤,标准化,特征提取,分类和分段。为了进行分类,使用了具有多项式核的支持向量机,对于19种不同的体操运动,其识别精度高达87%。总而言之,示出了具有相关联的用户界面的系统,该系统能够以运动顺序辅助和分析用户。

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