Implementation and performance analysis of smartphone-based 3D PDR system with hybrid motion and heading classifier

B. Shin, Seok Lee, Chulki Kim, Jaehun Kim, Taikjin Lee, C. Kee, Sujeong Heo, Heonsoo Rhee
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引用次数: 13

Abstract

In this paper, we present a motion recognition based pedestrian dead reckoning (PDR) system. The difference of smartphone-based PDR system and inertial measurement unit (IMU)-based PDR is that axes of smartphone sensor are changed dependently by pedestrian motions, but IMU-based PDR does not that. To solve this issue, we firstly detect a performed motion and operate a proper PDR algorithm according to the detected motion. We apply this system to many persons to identify its applicability. Especially, a heading classifier having 45 degree resolution is applied. We performed a real field test and analyzed a performance of this system.
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基于智能手机的运动与头部混合分类器3D PDR系统的实现与性能分析
提出了一种基于运动识别的行人航位推算(PDR)系统。基于智能手机的PDR系统与基于惯性测量单元(IMU)的PDR系统的不同之处在于,智能手机传感器的轴会随着行人的运动而独立变化,而基于IMU的PDR则不会。为了解决这个问题,我们首先检测一个已执行的运动,并根据检测到的运动运行适当的PDR算法。我们将这一制度应用于许多人,以确定其适用性。特别地,应用了45度分辨率的标题分类器。对该系统进行了现场测试,并对其性能进行了分析。
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