A new approach for indoor customer tracking based on a single wi-fi connection

Bai, Y, Wu, S, Ren, Y, Ong, K, Retscher, G, Kealy, A, Tomko, M, Sanderson, M, Wu, H and Zhang, K 2014, 'A new approach for indoor customer tracking based on a single wi-fi connection', in Seung-Hoon Hwang, Kyle O'Keefe, Sangjoon Park (ed.) Proceedings of the Fifth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014), Busan, Korea, 27-30 October 2014, pp. 239-245.


Document type: Conference Paper
Collection: Conference Papers

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Title A new approach for indoor customer tracking based on a single wi-fi connection
Author(s) Bai, Y
Wu, S
Ren, Y
Ong, K
Retscher, G
Kealy, A
Tomko, M
Sanderson, M
Wu, H
Zhang, K
Year 2014
Conference name IPIN 2014
Conference location Busan, Korea
Conference dates 27-30 October 2014
Proceedings title Proceedings of the Fifth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014)
Editor(s) Seung-Hoon Hwang, Kyle O'Keefe, Sangjoon Park
Publisher IEEE
Place of publication United States
Start page 239
End page 245
Total pages 7
Abstract Wi-Fi and smartphone based location tracking technologies have been widely applied in location based services (LBS). This research is a part of an Australian Research Council (ARC) project required by a large global shopping mall company located in Australia. It aims to develop an effective customer tracking approach for acquiring shopping behavior of customers and providing them better services. Currently, the log data provided by the company only recorded one Wi-Fi connection at a time for one smartphone user. This makes most of the conventional tracking and positioning methods inapplicable. In order to solve this problem, a new approach was developed, which takes advantage of both the cell of origin (CoO) method and the fingerprinting method. Its implementation mainly includes two phases: 1) the cell determination phase, including partitioning of the floors of the shopping mall using a Voronoi diagram and determining a unique cell for each wireless access point (AP), adjusting the cells manually according to the real floor layout, obstructions as well as an on-site observing and calibrating process. An AP-shop/room matching table and other relevant information are stored in a database; and 2) the user location tracking phase, including determination of the cell that the customer locates in according to the detected AP linked with the customer's mobile phone. A back-tracing method is also used to improve the tracking performance. This new approach was tested in a large shopping-mall-like space covering an area of 1000 square meters, containing 8 simulated shops and 11 APs. The results showed a 96% correct detection rate whilst the 4% erroneous detections occurred when a user was near the cell boundaries. This new approach is also easy to implement and integrate with other location tracking systems.
Subjects Information Engineering and Theory
Artificial Life
Computer System Architecture
Keyword(s) LBS
Wi-Fi
smartphone
indoor positioning
single wireless access point connection
Copyright notice © 2014 IEEE
ISBN 978-1-4673-8054-6
Additional Notes LP120200413
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