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ShopMiner: Mining Customer Shopping Behavior in Physical Clothing Stores with COTS RFID Devices

Authors:

Longfei Shangguan,

Xiaolong Zheng,

Jinsong HanAuthors Info & Claims

SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Pages 113 - 125

https://doi.org/10.1145/2809695.2809710

Published: 01 November 2015 Publication History

Abstract

Shopping behavior data are of great importance to understand the effectiveness of marketing and merchandising efforts. Online clothing stores are capable capturing customer shopping behavior by analyzing the click stream and customer shopping carts. Retailers with physical clothing stores, however, still lack effective methods to identify comprehensive shopping behaviors. In this paper, we show that backscatter signals of passive RFID tags can be exploited to detect and record how customers browse stores, which items of clothes they pay attention to, and which items of clothes they usually match with. The intuition is that the phase readings of tags attached on desired items will demonstrate distinct yet stable patterns in the time-series when customers look at, pick up or turn over desired items. We design ShopMiner, a framework that harnesses these unique spatial-temporal correlations of time-series phase readings to detect comprehensive shopping behaviors. We have implemented a prototype of ShopMiner, with a COTS RFID reader and four antennas, and tested its effectiveness in two typical indoor environments. Empirical studies from two-week shopping-like data show that ShopMiner, could achieve high accuracy and efficiency in customer shopping behavior identification.

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Cited By

Zou HXia DZheng XLiu LMa HPapavassiliou SSchmid S(2024)BleHe: Indoor Positioning Using a Single BLE Base Station with Height CorrectionProceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing10.1145/3641512.3686391(31-40)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3641512.3686391
Jin MLi KTian XWang XZhou C(2024)Graph Based RFID Grouping for Fast and Robust Inventory TrackingIEEE Transactions on Mobile Computing10.1109/TMC.2024.343943023:12(14201-14217)Online publication date: Dec-2024
https://doi.org/10.1109/TMC.2024.3439430
Liu XZhang BWang LChen SXie XTong XGu TLi K(2024)Fine-Grained Recognition of Manipulation Activities on Objects via Multi-Modal SensingIEEE Transactions on Mobile Computing10.1109/TMC.2024.336452223:10(9614-9628)Online publication date: Oct-2024
https://doi.org/10.1109/TMC.2024.3364522
Show More Cited By

Index Terms

ShopMiner: Mining Customer Shopping Behavior in Physical Clothing Stores with COTS RFID Devices
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Conferences

SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

November 2015

526 pages

ISBN:9781450336314

DOI:10.1145/2809695

General Chair:
Junehwa Song
KAIST, South Korea
,
Program Chairs:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign, USA
,
Cecilia Mascolo
University of Cambridge, UK

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 November 2015

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Funding Sources

China Postdoctoral Science Foundation funded project
Hong Kong RGC Grant
NSFC Major Program
NSFC General Program
national high technology research and development program of China (863 Program)

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SenSys '15

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SenSys '15: The 13th ACM Conference on Embedded Network Sensor Systems

November 1 - 4, 2015

Seoul, South Korea

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SenSys '15 Paper Acceptance Rate 27 of 132 submissions, 20%;

Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

Zou HXia DZheng XLiu LMa HPapavassiliou SSchmid S(2024)BleHe: Indoor Positioning Using a Single BLE Base Station with Height CorrectionProceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing10.1145/3641512.3686391(31-40)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3641512.3686391
Jin MLi KTian XWang XZhou C(2024)Graph Based RFID Grouping for Fast and Robust Inventory TrackingIEEE Transactions on Mobile Computing10.1109/TMC.2024.343943023:12(14201-14217)Online publication date: Dec-2024
https://doi.org/10.1109/TMC.2024.3439430
Liu XZhang BWang LChen SXie XTong XGu TLi K(2024)Fine-Grained Recognition of Manipulation Activities on Objects via Multi-Modal SensingIEEE Transactions on Mobile Computing10.1109/TMC.2024.336452223:10(9614-9628)Online publication date: Oct-2024
https://doi.org/10.1109/TMC.2024.3364522
Liu XZhang BChen SXie XTong XGu TLi K(2024)A Wireless Signal Correlation Learning Framework for Accurate and Robust Multi-Modal SensingIEEE Journal on Selected Areas in Communications10.1109/JSAC.2024.341398642:9(2424-2439)Online publication date: Sep-2024
https://doi.org/10.1109/JSAC.2024.3413986
Jiang MQiu HTang SJing DLuo YZhang PHuang L(2024)Application of Passive Pressure Sensors in the Online Monitoring Scenario of GIS Equipment in Hydropower Stations2024 IEEE 2nd International Conference on Sensors, Electronics and Computer Engineering (ICSECE)10.1109/ICSECE61636.2024.10729542(1430-1434)Online publication date: 29-Aug-2024
https://doi.org/10.1109/ICSECE61636.2024.10729542
Alfian GOctava MHilmy FNurhaliza RSaputra YPutri DSyahrian FFitriyani NAtmaji FFarooq UNguyen DSyafrudin M(2023)Customer Shopping Behavior Analysis Using RFID and Machine Learning ModelsInformation10.3390/info1410055114:10(551)Online publication date: 8-Oct-2023
https://doi.org/10.3390/info14100551
Wang GHan LChang YShi YQian CZhao CDing HXi WZhao CZhao J(2023)Cross-technology Communication between Visible Light and Battery-free RFIDsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108837:3(1-20)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610883
Na XGuo XYu ZZhang JHe YLiu YHui PAmiri Sani ANurmi PLiu Y(2023)Leggiero: Analog WiFi Backscatter with Payload TransparencyProceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services10.1145/3581791.3596835(436-449)Online publication date: 18-Jun-2023
https://dl.acm.org/doi/10.1145/3581791.3596835
Shang FYang PXiong JFeng YLi X(2023)Tamera: Contactless Commodity Tracking, Material and Shopping Behavior Recognition Using COTS RFIDsACM Transactions on Sensor Networks10.1145/356377719:2(1-24)Online publication date: 3-Feb-2023
https://dl.acm.org/doi/10.1145/3563777
Wang GShi XCai HQian CDing HXi WZhao KZhao JHan J(2023)A Generalized Method to Combat Multipaths for RFID SensingIEEE/ACM Transactions on Networking10.1109/TNET.2022.319086231:1(336-351)Online publication date: Feb-2023
https://doi.org/10.1109/TNET.2022.3190862
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