2019
DOI: 10.3390/ijgi8110468
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A Drift-of-Stay Pattern Extraction Method for Indoor Pedestrian Trajectories for the Error and Accuracy Assessment of Indoor Wi-Fi Positioning

Abstract: The uncertainty of indoor Wi-Fi positioning is susceptible to many factors, such as sensor distribution, the internal environment (e.g., of a shopping mall), differences between receivers, and the flow of people. In this paper, an indoor pedestrian trajectory pattern mining approach for the assessment of the error and accuracy of indoor Wi-Fi positioning is proposed. First, the stay points of the customer were extracted from the pedestrian trajectories based on the spatiotemporal staying patterns of the custom… Show more

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“…[12,13]. Meanwhile, almost all mobile terminals have built-in wireless network cards that can measure Wi-Fi signal strength, which can be used for indoor positioning [14,15]. ere are outstanding prospects for the development of Wi-Fi indoor positioning technology, and its research remains a meaningful and valuable work.…”
Section: Introductionmentioning
confidence: 99%
“…[12,13]. Meanwhile, almost all mobile terminals have built-in wireless network cards that can measure Wi-Fi signal strength, which can be used for indoor positioning [14,15]. ere are outstanding prospects for the development of Wi-Fi indoor positioning technology, and its research remains a meaningful and valuable work.…”
Section: Introductionmentioning
confidence: 99%