ABSTRACT
RFID-based localization and tracking has some promising potentials. By combining localization with its identification capability, existing applications can be enhanced and new applications can be developed. In this paper, we investigate a tag-free indoor localizing and tracking problem (e.g., people tracking) without requiring subjects to carry any tags or devices in a pure passive environment. We formulate localization as a classification task. In particular, we model the received signal strength indicator (RSSI) of passive tags using multivariate Gaussian Mixture Model (GMM), and use the Expectation Maximization (EM) to learn the maximum likelihood estimates of the model parameters. Several other learning-based probabilistic approaches are also explored in the localization problem. To track a moving subject, we propose GMM based Hidden Markov Model (HMM) and k Nearest Neighbor (kNN) based HMM approaches. We conduct extensive experiments in a testbed formed by passive RFID tags, and the experimental results demonstrate the effectiveness and accuracy of our approach.
- Y. Liu, L. Chen, J. Pei, Q. Chen, and Y. Zhao. Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. In Pervasive Computing and Communications, 2007. PerCom'07. Fifth Annual IEEE International Conference on, pages 37--46. IEEE, 2007. Google ScholarDigital Library
- G. McLachlan and D. Peel. Finite mixture models. John Wiley & Sons, 2004.Google Scholar
- L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil. Landmarc: indoor location sensing using active rfid. Wireless networks, 10(6):701--710, 2004. Google ScholarDigital Library
- L. M. Ni, D. Zhang, and M. R. Souryal. Rfid-based localization and tracking technologies. Wireless Communications, IEEE, 18(2):45--51, 2011.Google ScholarCross Ref
- C. Qian, H. Ngan, Y. Liu, and L. M. Ni. Cardinality estimation for large-scale rfid systems. Parallel and Distributed Systems, IEEE Transactions on, 22(9):1441--1454, 2011. Google ScholarDigital Library
- M. Seifeldin and M. Youssef. A deterministic large-scale device-free passive localization system for wireless environments. In Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, page 51. ACM, 2010. Google ScholarDigital Library
- Q. Z. Sheng, X. Li, and S. Zeadally. Enabling next-generation rfid applications: Solutions and challenges. IEEE Computer, 41(9):21--28, 2008. Google ScholarDigital Library
- P. Wilson, D. Prashanth, and H. Aghajan. Utilizing rfid signaling scheme for localization of stationary objects and speed estimation of mobile objects. In RFID, 2007. IEEE International Conference on, pages 94--99. IEEE, 2007.Google ScholarCross Ref
- C. Xu, B. Firner, Y. Zhang, R. Howard, J. Li, and X. Lin. Improving rf-based device-free passive localization in cluttered indoor environments through probabilistic classification methods. In Proceedings of the 11th international conference on Information Processing in Sensor Networks, pages 209--220. ACM, 2012. Google ScholarDigital Library
- L. Yao, Q. Z. Sheng, A. H. H. Ngu, and B. Gao. Keeping you in the loop: Enabling web-based things management in the internet of things. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management. ACM, 2014. Google ScholarDigital Library
- D. Zhang, J. Zhou, M. Guo, J. Cao, and T. Li. Tasa: Tag-free activity sensing using rfid tag arrays. Parallel and Distributed Systems, IEEE Transactions on, 22(4):558--570, 2011. Google ScholarDigital Library
Index Terms
- Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches
Recommendations
Fine-grained RFID Localization via Ultra-wideband Emulation
SIGCOMM Posters and Demos '17: Proceedings of the SIGCOMM Posters and DemosThis demo presents RFind, a system that enables fine-grained RFID localization via ultra-wideband emulation. RFind operates by measuring the time-of-flight -- i.e., the time it takes the signal to travel from an antenna to an RFID tag. To do so, it ...
TagTrack: device-free localization and tracking using passive RFID tags
MOBIQUITOUS '14: Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and ServicesDevice-free passive localization aims to localize or track targets without requiring them to carry any devices or to be actively involved with the localization process. This technique has received much attention recently in a wide range of applications ...
Flexible Localization and Identification System Based on RFID and Vision Tracking Technologies
ISCCS '11: Proceedings of the 2011 International Symposium on Computer Science and SocietyAmong existing indoor localization systems, considering the costs and accuracy, RFID has been one of the best choices for indoor positioning. However, years of research experiences found that the signal strength of RFID is not sufficiently stable and ...
Comments