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A Large Scale Trajectory Dataset for Shopper Behaviour Understanding

机译:用于了解购物者行为的大规模轨迹数据集

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摘要

In intelligent retail environment, Ultra Wideband (UWB) is suitable for applications where the positioning accuracy is a critical parameter. This technology provides the use of several UWB antennas properly positioned inside a predetermined area and powered battery tags free to move inside the area. This has been used to deploy a Real Time Locating System (RTLS), which gives complete oversight of the customers and employees in the store and improves the customer experience. In this paper, it is described a tracking system based on UWB technology. The installation, in stores in Germany and Indonesia became the basis for a trajectory dataset and results presented in this paper based on a two-year experience that measured 10.4 million shoppers. Through the analysis of the collected tracking data, it allows to derive several information on the shoppers behaviour inside a store. Behaviours that concern flows of walking, most visited areas inside the space dedicated to the shopping and average travel times. The collection of this great quantity of data is very important for future marketing research that have the aim to attract people to purchase.
机译:在智能零售环境中,超宽带(UWB)适用于定位精度是关键参数的应用。这项技术提供了使用几个正确放置在预定区域内的UWB天线和可在该区域内自由移动的有源电池标签的功能。它已用于部署实时定位系统(RTLS),该系统可以对商店中的客户和员工进行完全监督,并改善客户体验。本文描述了一种基于超宽带技术的跟踪系统。在德国和印度尼西亚的商店中进行的安装成为轨迹数据集的基础,本文基于两年来的经验(测量了1,040万购物者)给出了结果。通过对收集到的跟踪数据的分析,它可以导出有关商店内部购物者行为的一些信息。与步行流程有关的行为,专门用于购物的空间内访问量最大的区域和平均旅行时间。收集大量数据对于未来的市场研究非常重要,其目的是吸引人们购买。

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