运动捕捉基准数据集

运动捕捉基准数据集是由国立矿业巴黎中心的研究团队创建的，旨在研究和分析工业操作员和熟练工匠的专业动作。数据集包含7个子数据集，涵盖了从电视制造到玻璃吹制等多种专业任务。每个数据集都记录了使用基于惯性的运动捕捉技术收集的数据，包括操作员和工匠在实际工作环境中的自然动作。数据集的创建目的是用于研究人类运动建模、分析和生成，以及评估和预测专业任务中的身体灵活性。此外，数据集还用于开发和测试用于分类、预测或评估工业环境中人类运动的算法。

The motion capture benchmark dataset was developed by a research team from MINES ParisTech to study and analyze the professional movements of industrial operators and skilled craftsmen. The dataset comprises 7 sub-datasets covering a variety of professional tasks ranging from television manufacturing to glassblowing. Each sub-dataset records data collected using inertial-based motion capture technology, including the natural movements of operators and craftsmen in real workplace environments. The dataset was created for research on human motion modeling, analysis and generation, as well as for evaluating and predicting physical flexibility in professional tasks. In addition, the dataset is also used to develop and test algorithms for classifying, predicting or evaluating human movements in industrial environments.