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4GAIT: Synchronized MoCap, Video, GRF and EMG Datasets: Acquisition, Management and Applications

机译:4GAIT:同步MoCap,视频,GRF和EMG数据集:采集,管理和应用

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Presented is the 4GAIT, a group of multimodal, high quality Reference Human Motion Datasets. The described in this article Multimodal Human Motion Lab provides a comprehensive environment for multimodal data acquisition, management and analysis. Introduced is a proposed PJIIT Multimodal Human Motion Database (MHMD) model for multimodal data representation and storage, along with Motion Data Editor - a toolkit for multimodal motion data management, visualization and analysis. As an example a group of three synchronized, multimodal, motion datasets using MHMD model: 4GAIT-HM, 4GAIT-Paarkinson and 4GAIT-MIS are described. Comparing to the currently available Human Motion Datasets, 4GAIT offers multiple data modalities presented within a unified model, higher video resolution, and larger volume of motion data for specific medical tasks, which better fulfills the needs of medical studies and human body biomechanics research.
机译:展示的是4GAIT,这是一组多模式,高质量的参考人体运动数据集。本文中的描述多模式人体运动实验室为多模式数据采集,管理和分析提供了一个全面的环境。介绍了一种提议的PJIIT多模式人体运动数据库(MHMD)模型,用于多模式数据表示和存储,以及运动数据编辑器-一种用于多模式运动数据管理,可视化和分析的工具包。作为示例,描述了使用MHMD模型的一组三个同步,多模态运动数据集:4GAIT-HM,4GAIT-Paarkinson和4GAIT-MIS。与当前可用的人体运动数据集相比,4GAIT提供了在统一模型中呈现的多种数据模式,更高的视频分辨率和针对特定医学任务的大量运动数据,从而更好地满足了医学研究和人体生物力学研究的需求。

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