淡江大學機構典藏:Item 987654321/112898
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    题名: Indoor Localization and Navigation Using Smartphone Sensory Data
    作者: Hui-Huang Hsu;Jung-Kuei Chang;Wei-Jan Peng;Timothy K. Shih;Tun-Wen Pai;Ka Lok Man
    关键词: Pedestrian dead reckoning;Indoor localization;Ambient intelligence;Smartphone applications
    日期: 2017
    上传时间: 2018-03-09 12:10:31 (UTC+8)
    出版者: Springer
    摘要: In the cloud age, it is quite easy to collect sensory data from smartphones. With
    these sensory data, it is desired to provide various kinds of applications to serve the user. In
    this research, we aim at developing an indoor navigation system on smartphone using solely
    smartphone sensory data. There are many researches on indoor localization and navigation
    in the literature. Nevertheless, environmental sensors and/or wearable sensors are usually
    needed. This can be costly and inconvenient. In this paper, we propose a smartphone indoor
    localization system using only accelerometer and gyroscope data from the smartphone. The
    Pedestrian Dead Reckoning (PDR) approach is used to build this system. The PDR approach
    is simple and efficient though seems traditional. The major weakness of the PDR is that the
    estimation error would accumulate over time. Thus we propose to add so-called calibration
    marks which look like short arrows and are placed on both the floor plan and the ground. To
    use the system, the user first finds a calibration mark on the ground, stands on it and faces
    the right direction. He/she then moves the android icon (representing the user) on top of
    the calibration mark on the floor plan on the smartphone. When the user starts to move, the
    android icon also moves on the floor plan following the real-time estimation of step length
    and moving direction change for each step from accelerometer and gyroscope data. This is a
    prototype of an indoor navigation system that can become fully functional after an optimal
    path planning module is included. Experimental results of estimated walking trace tests show
    high accuracy. The system is promising and useful as long as a floor plan and calibration
    marks are built in advance
    關聯: Annals of Operations Research 265(2) p.187-204
    DOI: 10.1007/s10479-017-2398-2
    显示于类别:[資訊工程學系暨研究所] 期刊論文

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