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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >Multi sensor system for pedestrian tracking and activity recognition in indoor environments
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Multi sensor system for pedestrian tracking and activity recognition in indoor environments

机译：用于室内环境中行人跟踪和活动识别的多传感器系统

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摘要

The widespread use of mobile devices and the rise of global navigation satellite systems (GNSS) have allowed mobile tracking applications to become very valuable in outdoor environments. However, tracking pedestrians in indoor environments is still a very challenging topic. This paper presents a system for pedestrian tracking and activity recognition in indoor environments using exclusively common off-the-shelf sensors embedded in smartphones. The proposed system combines the detection of biomechanical patterns of the human body while accomplishing basic activities along with identifiable signatures that certain indoor locations introduce on sensing data. The system was implemented and tested on Android-based mobile phones. The system detects and counts steps on a flat surface or stairs, tracks users' changes of direction and altitude, and recognises the proposed human activities with accuracy. All combined this leads to a total tracking accuracy of 91.06% in common human motion indoor displacements.
机译：移动设备的广泛使用和全球导航卫星系统（GNSS）的兴起使移动跟踪应用程序在户外环境中变得非常有价值。然而，在室内环境中跟踪行人仍然是一个非常具有挑战性的话题。本文提出了一种系统，该系统使用嵌入在智能手机中的独家通用现成传感器在室内环境中进行行人跟踪和活动识别。拟议的系统结合了人体生物力学模式的检测，同时完成了基本活动以及某些室内位置在感应数据上引入的可识别特征。该系统已在基于Android的手机上实施和测试。该系统检测并计算平面或楼梯上的台阶，跟踪用户的方向和高度变化，并准确识别拟议的人类活动。所有这些结合在一起，导致普通人体运动室内位移的总跟踪精度为91.06％。

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