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MotionSynthesis Toolset (MoST): An Open Source Tool and Data Set for Human Motion Data Synthesis and Validation

机译:MotionSynthesis工具集(MoST):用于人体运动数据合成和验证的开源工具和数据集

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Access to experimental data in the development of algorithms and techniques for wearable computing devices and body sensor networks allows faster validation and refinement of algorithms. The MotionSynthesis Toolset is an open source toolset and database built to assist in data collection and data sharing, and allow collaboration in review and validation of data sets. The tools can generate a sequence of movements and synthesize a data stream based on the data stored in the database. New movements can be added to the database and the tools by the community. The tools also allow visualization, and validation of the movements and data with video and signal waveforms. The data set has more than 20 subjects and multiple repetitions of the movements from each subject to increase data diversity.
机译:在可穿戴计算设备和人体传感器网络的算法和技术开发中访问实验数据可以更快地验证和完善算法。 MotionSynthesis Toolset是一个开放源代码工具集和数据库,旨在协助数据收集和数据共享,并允许在查看和验证数据集方面进行协作。这些工具可以生成一系列动作,并基于数据库中存储的数据来合成数据流。社区可以将新的动作添加到数据库和工具中。这些工具还允许可视化,并通过视频和信号波形验证运动和数据。数据集具有20多个对象,每个对象的动作多次重复,以增加数据的多样性。

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