Fingerprinting-based wireless 3D localization for motion capture applications

M. Giuberti, M. Martalò, G. Ferrari
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引用次数: 5

Abstract

In this paper, we consider a radio fingerprinting-based localization system for indoor motion capture applications. Fingerprinting allows target localization on the basis of radio-frequency measurements of the Received radio Signal Strength (RSS), taking into account the presence of fading by means of a training phase. Motion capture is then performed by localizing, through fingerprinting, a group of targets placed on the portion of interest of the user arm---the approach can be easily extended to other portions of the user body. We experimentally investigate, through a SunSPOT wireless sensor network test-bed, different fingerprinting-based localization algorithms, namely deterministic and probabilistic, optimizing, in each case, the system parameters. In particular, the optimization is carried out by minimizing the localization error.
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基于指纹的无线3D定位运动捕捉应用
在本文中,我们考虑了一种基于无线指纹的室内运动捕捉定位系统。指纹识别允许在接收到的无线电信号强度(RSS)的射频测量的基础上定位目标,并考虑到通过训练阶段存在的衰落。然后,通过指纹识别,定位放置在用户手臂感兴趣部分的一组目标来执行动作捕捉——这种方法可以很容易地扩展到用户身体的其他部分。我们通过一个太阳spot无线传感器网络测试平台,实验研究了不同的基于指纹的定位算法,即确定性和概率性,在每种情况下优化系统参数。特别是通过最小化定位误差来实现优化。
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