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Suitability of a low cost system for quantitative motion capture applications

机译:低成本系统对定量运动捕捉应用的适用性

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This paper presents an analysis on the suitability of a low cost motion capture system to support the development of generic applications within medical scenarios. In this study we used the Microsoft Kinect (first generation) sensor as basic technology for its wide availability and the relatively low cost, which generated great interest of the scientific community in several application fields. Most of the studies found in literature however, do not address the quality and reliability of the raw data (objects position and depth) considering only the results of the integrated 3D recognition algorithms for the final skeleton/gesture analysis. This can be critical in rehabilitation, in which the knowledge of accuracy, reliability and performance in tracking patient body movements is required and assessed. To this aim, this article proposes an experimental protocol to analyze the Kinect measurement capabilities, via the definition of peculiar parameters. Here we also introduced an analysis of performance versus usage time. Results showed some weaknesses of the sensor. Specifically, resolution was found in the range of tens of millimeters while degrading over time. The adoption of the Microsoft Kinect (first generation) in medical scenarios should therefore be considered with respect to the application it serves having clear in mind its performances and limitations.
机译:本文对低成本运动捕捉系统在医疗场景中支持通用应用程序开发的适用性进行了分析。在这项研究中,我们使用Microsoft Kinect(第一代)传感器作为基础技术,因为它具有广泛的可用性和相对较低的成本,这引起了科学界在多个应用领域的极大兴趣。但是,文献中的大多数研究都没有考虑原始数据(对象位置和深度)的质量和可靠性,仅考虑了用于最终骨骼/手势分析的集成3D识别算法的结果。这在康复过程中至关重要,在康复过程中,需要并评估跟踪患者身体运动的准确性,可靠性和性能知识。为此,本文提出了一种通过定义特殊参数来分析Kinect测量功能的实验协议。在这里,我们还介绍了性能与使用时间的关系。结果显示出传感器的一些弱点。具体而言,发现分辨率在数十毫米的范围内,同时随着时间的推移而降低。因此,应在考虑其性能和局限性的前提下考虑在医疗场景中采用Microsoft Kinect(第一代)。

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