Implementation of a tracking system based on UWB technology in a retail environment

This paper proposes a tracking system based on Ultra-wideband technology. The system provides the use of several Ultra-Wide Band (UWB) antennas properly positioned inside a predetermined area and powered battery tags free to move inside the area. This system finds wide application in retail field. In fact, through the analysis of the collected tracking data, it allows to derive several information on the shoppers behaviour inside the store. Behaviours that concern flows of walking, most visited areas inside the space dedicated to the shopping and average travel times.

[1]  Marshall L. Fisher,et al.  Introduction to Focused Issue: Retail Operations Management , 2001, Manuf. Serv. Oper. Manag..

[2]  George M. Giaglis,et al.  A taxonomy of indoor and outdoor positioning techniques for mobile location services , 2002, SECO.

[3]  Emanuele Frontoni,et al.  Embedded Vision Sensor Network for Planogram Maintenance in Retail Environments , 2015, Sensors.

[4]  Emanuele Frontoni,et al.  Customers’ activity recognition in intelligent retail environments , 2013 .

[5]  Joseph Kee-Yin Ng,et al.  A Pervasive Promotion Model for Personalized Promotion Systems on Using WLAN Localization and NFC Techniques , 2015, Mob. Inf. Syst..

[6]  Joseph Kee-Yin Ng,et al.  A Wireless LAN Location Estimation System Using Center of Gravity as an Algorithm Selector for Enhancing Location Estimation , 2012, 2012 IEEE 26th International Conference on Advanced Information Networking and Applications.

[7]  G. Foxall,et al.  In-store Customer Behaviour in the Fashion Sector: Some Emerging Methodological and Theoretical Directions , 2003 .

[8]  Hiroaki Kimura,et al.  Applying pervasive technologies to create economic incentives that alter consumer behavior , 2009, UbiComp.

[9]  Antonio Marín-Hernández,et al.  Conception and Implementation of a Supermarket Shopping Assistant System , 2012, 2012 11th Mexican International Conference on Artificial Intelligence.

[10]  Peter Martini,et al.  Indoor tracking for mission critical scenarios: A survey , 2011, Pervasive Mob. Comput..

[11]  Rosdiadee Nordin,et al.  Recent Advances in Wireless Indoor Localization Techniques and System , 2013, J. Comput. Networks Commun..

[12]  Ming-Syan Chen,et al.  Using Mobile Phones to Monitor Shopping Time at Physical Stores , 2011, IEEE Pervasive Computing.

[13]  Leigh Sparks,et al.  Supply Chain Management and Retailing , 2010 .

[14]  Emanuele Frontoni,et al.  Shopper Analytics: A Customer Activity Recognition System Using a Distributed RGB-D Camera Network , 2014, VAAM@ICPR.

[15]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[16]  Emanuele Frontoni,et al.  Smart Vision System for Shelf Analysis in Intelligent Retail Environments , 2013 .

[17]  Emanuele Frontoni,et al.  Information Management for Intelligent Retail Environment: The Shelf Detector System , 2014, Inf..

[18]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[19]  Shuang-Hua Yang,et al.  A Survey of Indoor Positioning and Object Locating Systems , 2010 .