遇见数据集

Human MoCap data

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Zenodo2025-08-01 更新2026-05-26 收录
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The operator open access data provided in this study includes, first and foremost, a collection of isolated recordings of basic actions performed by the operator. These actions were captured using motion capture technology in a controlled and safe laboratory environment. The action segments represent elementary movements or routine tasks typically carried out during plant operations, for example, taking a step forward, kneeling, executing a shutdown from the control room, or inspecting a sensor. By concatenating these elementary recordings, it is possible to reconstruct complete operative scenarios. This modular approach allows for flexible simulation of different workflows by assembling sequences of basic actions, provided the layout of the plant and the relevant points of interest are known. Such flexibility supports the creation of fully digital yet realistic operator routines for further analysis or testing. The data are structured in tabular form: in the sheet named as the file, each row corresponds to a frame and includes, in order, the frame number, timestamp, and the (x, y, z) coordinate triplets for each sensor. Sensor names are listed in the header for ease of identification. This structure enables continuous spatial tracking of the operator throughout the duration of the recordings. As for “Sheet1” in each file, here the data represent the “deltas”, namely the variation in terms of position between two consecutive frames for each coordinate of each sensor. In this way, it is possible to define how each sensor moves over time, drawing a “trajectory” that identifies each basic action’s movement and enabling the concatenation between actions. In addition, the provided data also includes full recordings of real operational scenarios captured directly on field using the same motion capture technology, including recordings in which the plant shutdown was carried out from the control panel rather than the control room, as is typically the case.

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Zenodo
创建时间:
2025-08-01
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