A PDR Method Using Smartglasses Reducing Accumulated Errors by Detecting User's Stop Motions

D. Sato, N. Togawa
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Abstract

Pedestrian navigation using a smartglass is more intuitive and easier to use because various information is dis-played directly in the field of view, and there is no need to look down to see the screen. The global positioning system (GPS) is widely used for pedestrian navigation, but its positioning accuracy is significantly degraded in indoors, undergrounds, and the area surrounded by high-rise buildings. Instead, in indoor areas, pedestrian dead reckoning (PDR) can estimate user's current positions using his/her device's sensors. PDR requires no external infrastructure and can be implemented at low cost, but since it estimates relative positions based on its initial position, errors accumulate as the walking distance increases. Reducing the accumulated errors is important in realizing PDR. In this paper, we propose a PDR method to reduce the accumulated errors for pedestrian navigation using smartglasses. When a user wearing a smartglass stops at some point, its downward acceleration value approaches the value of gravity acceleration. By effectively utilizing this property, the proposed method reduces the accumulated errors. Experimental evaluations show the effectiveness of the proposed method.
一种使用智能眼镜的PDR方法,通过检测用户的停止运动来减少累积误差
使用智能眼镜的行人导航更直观,更容易使用,因为各种信息直接显示在视野中,不需要低头看屏幕。全球定位系统(GPS)被广泛用于行人导航,但在室内、地下和高层建筑包围的区域,GPS的定位精度明显下降。相反,在室内区域,行人航位推算(PDR)可以使用用户设备的传感器来估计用户当前的位置。PDR不需要外部基础设施,可以以低成本实现,但由于它基于初始位置估计相对位置,因此随着步行距离的增加,误差会累积。减少累积误差是实现PDR的关键。在本文中,我们提出了一种PDR方法来减少使用智能眼镜的行人导航的累积误差。当佩戴智能眼镜的用户在某一点停下来时,其向下的加速度值接近重力加速度值。该方法有效地利用了这一特性,减小了累积误差。实验结果表明了该方法的有效性。
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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