Abstract
Radio Frequency Identification (RFID) has been used to improve services such as inventory management and behavior analysis in recent industries. Since these services require tracking the movement of objects where an RFID tag is attached, the direction estimation scheme for RFID tags has been attracting attention. Conventional estimation schemes require a large space for antenna installation or assume expensive small antennas, which poses a challenge for implementation in the field. This paper evaluates the performance of the proposed direction estimation scheme for several types of RFID tags because the authors have conducted the initial evaluation. Since the proposed scheme uses an angled single antenna, it should be a valuable scheme in practical service if the proposed scheme generally works for several types of RFID tags. The proposed scheme focuses on the features of change in Received Signal Strength Indicator (RSSI) and phase value caused by an angled antenna. The evaluation result shows that the proposed scheme can estimate the direction of movement accurately for multiple types of tags.
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References
Li, C., Lao, K., Tam, K.: A flooding warning system based on RFID tag array for energy facility. In: 2018 IEEE International Conference on RFID Technology Application (RFID-TA), pp. 1–4 (2018). https://doi.org/10.1109/RFID-TA.2018.8552767
Zhang, Y., Xie, L., Bu, Y., Wang, Y., Wu, J. and Lu, S.: 3-dimensional localization via RFID tag array. In: 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), pp. 353–361 (2017). https://doi.org/10.1109/MASS.2017.22
Liu, Z., Wang, M., Qi, S., Yang, C.: Study on the anti-theft technology of museum cultural relics based on Internet of Things. IEEE Access 7, 111387–111395 (2019). https://doi.org/10.1109/ACCESS.2019.2933236
Han, J., et al.: CBID: a customer behavior identification system using passive tags. IEEE/ACM Trans. Netw. 24(5), 2885–2898 (2016). https://doi.org/10.1109/TNET.2015.2501103
Landmark, A.D., Sjøbakk, B.: Tracking customer behaviour in fashion retail using RFID—emerald insight. Int. J. Retail Distrib. Manage. 45(7), 844–858 (2017). https://doi.org/10.1108/IJRDM-10-2016-0174
Pradel, B., et al.: A case study in a recommender system based on purchase data. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2011, New York, NY, USA, pp. 377–385. Association for Computing Machinery (2011). https://doi.org/10.1145/2020408.2020470
Vijayakumar, V., Neelanarayanan, V. (eds.): Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC–2016). SIST, vol. 49. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-30348-2
Finkenzeller, K.: RFID Handbook: Fundamentals and Applications in Contactless Smart Cards, Radio Frequency Identification and Near-Field Communication, 3rd edn. Wiley, New York (2010)
Inc., H.I.: Radio Frequency Identification (RFID) Frequently Asked Questions (2016)
Anssens, C., Rolland, N., Rolland, P.: A sensornetwork based on RFID inventory for retail application. In: 2011 IEEE International Conference on RFID-Technologies and Applications, pp. 64–67 (2011). https://doi.org/10.1109/RFID-TA.2011.6068617
Jie, W., Minghua, Z., Bo, X., Wei, H.: RFID based motion direction estimation in gate systems. In: 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 588–593 (2018). https://doi.org/10.1109/CSCWD.2018.8465374
Buffi, A., D’Andrea, W., Lazzerini, B., Nepa, P.: UHF-RFID smart gate Tag action classifier by artificial neural networks. In: 2017 IEEE International Conference on RFID Technology Application (RFID-TA), pp. 45–50 (2017). https://doi.org/10.1109/RFID-TA.2017.8098900
Alvarez-Narciandi, G., Motroni, A., Pino, M.R., Buffi, A., Nepa, P.: A UHF-RFID gate control system based on a Convolutional Neural Network. In: 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA), pp. 353–356 (2019). https://doi.org/10.1109/RFID-TA.2019.8892080
Oikawa, Y.: Tag movement direction estimation methods in an RFID gate system. In: 2009 6th International Symposium on Wireless Communication Systems, pp. 41–45 (2009). https://doi.org/10.1109/ISWCS.2009.5285228
Mizuno, K., Naito, K., Ehara, M.: Direction estimation scheme for RFID tag with an angled single antenna. In: IEEE International Conference on Radio Frequency Identification (RFID 2021), vol. 1(1), pp. 1–2 (2021)
Jechlitschek, C.: A survey paper on Radio Frequency Identification (RFID) trends (2010)
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Mizuno, K., Naito, K., Ehara, M. (2022). The Evaluation of the Angled Antenna Based Direction Estimation Scheme for RFID Tags. In: Hara, T., Yamaguchi, H. (eds) Mobile and Ubiquitous Systems: Computing, Networking and Services. MobiQuitous 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-94822-1_49
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