TagBooth: Deep shopping data acquisition powered by RFID tags

Proceedings - IEEE INFOCOM

Volumn 26, Issue , 2015, Pages 1670-1678

  Liu, Tianci ^a   Yang, Lei ^a   Li, Xiang Yang ^a,b   Huang, Huaiyi ^a   Liu, Yunhao ^a  

^a TSINGHUA UNIVERSITY   (China)

^b Illinois Institute of Technology   (United States)

Author keywords

Action Recognition; Deep Shopping Data; Motion Detection; RFID; TagBooth

Indexed keywords

CONSUMER BEHAVIOR; DATA ACQUISITION; DATA MINING; LEGACY SYSTEMS; NETWORK LAYERS; PRODUCT DESIGN; RADIO FREQUENCY IDENTIFICATION (RFID); RETAIL STORES;

ACTION RECOGNITION; DEEP SHOPPING DATA; HIGH-ACCURACY; INNOVATIVE SYSTEMS; MOTION DETECTION; PHYSICAL LAYERS; TAGBOOTH; TRANSACTION DATA;

SALES;

EID: 84954223859     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFOCOM.2015.7218547     Document Type: Conference Paper

References (30)

1. D. R. Bell and J. M. Lattin, "Shopping behavior and consumer pref-erence for store price format: Why large basket shoppers prefer edlp, " Marketing Science, vol. 17, no. 1, pp. 66-88, 1998.
2. G. L. Lohse, S. Bellman, and E. J. Johnson, "Consumer buying behavior on the internet: Findings from panel data, " Journal of interactive Marketing, vol. 14, no. 1, pp. 15-29, 2000.
3. A. G. Close and M. Kukar-Kinney, "Beyond buying: Motivations behind consumers'online shopping cart use, " Journal of Business Research, vol. 63, no. 9, pp. 986-992, 2010.
4. W. Niu, J. Long, D. Han, and Y.-F. Wang, "Human activity detection and recognition for video surveillance, " in ICME, vol. 1. IEEE, 2004, pp. 719-722.
5. P. C. Ribeiro and J. Santos-Victor, "Human activity recognition from video: Modeling, feature selection and classification architecture, " in Proceedings of International Workshop on Human Activity Recognition and Modelling. Citeseer, 2005, pp. 61-78.
6. Shopper Tracking, http: //www. vizualize. net/solutions/shopper-tracking. html.
7. R. Das and P. Harrop, "Rfid forecasts, players and opportunities 2014-2024, " 2011.
8. E. P. Kelly and G. S. Erickson, "Rfid tags: commercial applications v. privacy rights, " Industrial Management & Data Systems, vol. 105, no. 6, pp. 703-713, 2005.
9. J. Xiong and K. Jamieson, "Arraytrack: A fine-grained indoor location system. " in NSDI, 2013, pp. 71-84.
10. J. Wang and D. Katabi, "Dude, where's my card?: Rfid positioning that works with multipath and non-line of sight, " in Proc. of SIGCOMM. ACM, 2013, pp. 51-62.
11. G. Häubl and V. Trifts, "Consumer decision making in online shopping environments: The effects of interactive decision aids, " Marketing science, vol. 19, no. 1, pp. 4-21, 2000.
12. T. Fujino, M. Kitazawa, T. Yamada, M. Takahashi, G. Yamamoto, A. Yoshikawa, and T. Terano, "Analyzingin-store shopping paths from indirect observation with RFIDtags communication data, " Journal on Innovation and Sustainability. RISUS ISSN 2179-3565, vol. 5, no. 1, pp. 88-96, 2014.
13. Low Level Data Support. http: //www. impinj. com/: Impinj Inc.
14. A. K. Jain, M. N. Murty, and P. J. Flynn, "Data clustering: A review, " CSUR, vol. 31, no. 3, pp. 264-323, 1999.
15. C. E. Lewis and T. P. O'Hagan, "Shopping cart mounted portable data collection device with tethered dataform reader, " Oct. 13 1998, uS Patent 5, 821, 513.
16. C.-W. You, C.-C. Wei, Y.-L. Chen, H.-H. Chu, and M.-S. Chen, "Using mobile phones to monitor shopping time at physical stores, " IEEE Pervasive Computing, vol. 10, no. 2, pp. 37-43, 2011.
17. E. Ngai, K. Moon, J. N. Liu, K. Tsang, R. Law, F. Suk, and I. Wong, "Extending crm in the retail industry: An RFID-based personal shopping assistant system, " Communications of the Association for Information Systems, vol. 23, no. 1, p. 16, 2008.
18. F. Thiesse, J. Al-Kassab, and E. Fleisch, "Understanding the value of integrated RFID systems: A case study from apparel retail, " European Journal of Information Systems, vol. 18, no. 6, pp. 592-614, 2009.
19. J.-L. Hou and T.-G. Chen, "An RFID-based shopping service system for retailers, " Advanced Engineering Informatics, vol. 25, no. 1, pp. 103-115, 2011.
20. L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil, "Landmarc: indoor location sensing using active RFID, " Wireless networks, vol. 10, no. 6, pp. 701-710, 2004.
21. A. Bekkali, H. Sanson, and M. Matsumoto, "Rfid indoor positioning based on probabilistic RFID map and kalman filtering, " in Proc. of IEEE WiMob, 2007.
22. C. Wang, H. Wu, and N.-F. Tzeng, "Rfid-based 3-d positioning schemes, " in Proc. ofNFOCOM. IEEE, 2007.
23. T. Liu, L. Yang, Q. Lin, Y. Guo, and Y. Liu, "Anchor-free backscatter positioning for RFID tags with high accurancy, " in Proc. of INFOCOM. IEEE, 2014.
24. L. Yang, Y. Chen, X.-Y. Li, C. Xiao, M. Li, and Y. Liu, "Tagoram: real-time tracking of mobile RFID tags to high precision using cots devices, " in Proceedings of the 20th annual international conference on Mobile computing and networking. ACM, 2014, pp. 237-248.
25. J. Lim, S. Kim, H. Oh, and D. Kim, "A designated query protocol for serverless mobile RFID systems with reader and tag privacy, " Tsinghua Science and Technology, vol. 17, no. 5, pp. 521-536, 2012.
26. C. Qian, Y. Liu, R. H. Ngan, and L. M. Ni, "ASAP: scalable collision arbitration for large RFID systems, " IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 7, pp. 1277-1288, 2013.
27. Y. Zheng and M. Li, "P-mti: Physical-layer missing tag identification via compressive sensing, " in IEEE INFOCOM, 2013.
28. L. Shangguan, Z. Li, Z. Yang, M. Li, and Y. Liu, "Otrack: Order tracking for luggage in mobile RFID systems, " in IEEE INFOCOM, 2013, pp. 3066-3074.
29. L. Yang, Y. Qi, J. Fang, X. Ding, T. Liu, and M. Li, "Frogeye: Perception of the slightest tag motion, " in Proc. of INFOCOM. IEEE, 2014.
30. J. Han, C. Qian, D. Ma, X. Wang, and J. Zhao, "Twins: Device-free object tracking using passive tags, " in Proc. of INFOCOM. IEEE, 2014.