MotionSynthesis toolset (MoST): a toolset for human motion data synthesis and validation

Terrell R. Bennett, Claudio Savaglio, David Lu, Hunter Massey, Xianan Wang, Jian Wu, R. Jafari
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引用次数: 26

Abstract

Wearable computing devices and body sensor networks (BSNs) are becoming more prevalent. Collecting the data necessary to develop the new concepts for these systems can be difficult. We present the MotionSynthesis Toolset (MoST) to alleviate some of the difficulties in data collection and algorithm development. This toolset allows researchers to generate a sequence of movements (i.e. a diary), synthesize a data stream using real sensor data, visualize, and validate the sequence of movements and data with video and waveforms.
MotionSynthesis工具集(MoST):用于人体运动数据合成和验证的工具集
可穿戴计算设备和身体传感器网络(BSNs)正变得越来越普遍。收集为这些系统开发新概念所需的数据可能很困难。我们提出了运动合成工具集(MoST),以减轻数据收集和算法开发中的一些困难。该工具集允许研究人员生成运动序列(即日记),使用真实传感器数据合成数据流,可视化,并通过视频和波形验证运动序列和数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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