Overview of RFID Applications Utilizing Neural Networks

Durtschi, Barrett D.; Chrysler, Andrew Michael

doi:10.1109/jrfid.2024.3483197

Title: Overview of RFID Applications Utilizing Neural Networks

Journal Article · 17 October 2024 · IEEE Journal of Radio Frequency Identification

DOI: https://doi.org/10.1109/jrfid.2024.3483197 · OSTI ID:2478634

^[1];

^[2]

Idaho State University, Pocatello, ID (United States)
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

As Radio Frequency Identification (RFID) methods continue to evolve to higher levels of complexity, one form of machine learning is making its appearance. The use of Neural Networks (NN) in the RFID field is steadily increasing, and in the fields of localization and activity recognition, promising results are being shown from a variety of research. RFID applications fall primarily under two types of problems including regression and classification. We analyze RIFD localization techniques which fall under regression, and activity recognition which falls under classification. Many works don’t classify themselves as activity recognition methods, but because they fall under the classification category, we still consider them as activity recognition techniques. This research overviews the Neural Network models in the localization field based on whether they can perform independently of the environment in which they were tested. For activity recognition and accessory fields, the major methods involve tag-based and tag-free approaches. In conclusion, after the models are surveyed, a comparison study is given to examine what may be the cause for increased accuracy between different Neural Network models.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: U.S. Department of Commerce; USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 2478634

Report Number(s):: LA-UR--24-30007

Journal Information:: IEEE Journal of Radio Frequency Identification, Journal Name: IEEE Journal of Radio Frequency Identification Vol. 8; ISSN 2469-7281

Publisher:: IEEE XploreCopyright Statement

Country of Publication:: United States

Language:: English

References (29)

RFID localization algorithms and applications—a review Zhou, Junyi; Shi, Jing Journal of Intelligent Manufacturing, Vol. 20, Issue 6 https://doi.org/10.1007/s10845-008-0158-5	journal	August 2008
TrackT: Accurate tracking of RFID tags with mm-level accuracy using first-order taylor series approximation Wang, Zhongqin; Ye, Ning; Malekian, Reza Ad Hoc Networks, Vol. 53 https://doi.org/10.1016/j.adhoc.2016.09.026	journal	December 2016
WNN-LQE: Wavelet-Neural-Network-Based Link Quality Estimation for Smart Grid WSNs Sun, Wei; Lu, Wei; Li, Qiyue IEEE Access, Vol. 5 https://doi.org/10.1109/ACCESS.2017.2723360	journal	January 2017
Deep Convolutional Neural Network for Passive RFID Tag Localization Via Joint RSSI and PDOA Fingerprint Features Peng, Chao; Jiang, Hong; Qu, Liangdong IEEE Access, Vol. 9 https://doi.org/10.1109/ACCESS.2021.3052567	journal	January 2021
Dynamic Indoor Localization Based on Active RFID for Healthcare Applications: A Shape Constraint Approach Chen, Wei-Hong; Chang, Herbert H.; Lin, T. H. 2009 2nd International Conference on Biomedical Engineering and Informatics https://doi.org/10.1109/BMEI.2009.5304900	conference	January 2009
Convolutional neural networks (CNN) for indoor human activity recognition using Ubisense system Li, Jun; Wu, Rongkai; Zhao, Jiaxiang 2017 29th Chinese Control And Decision Conference (CCDC) https://doi.org/10.1109/CCDC.2017.7978857	conference	May 2017
Intelligent Localization based on Wavelet Neural Network Bhalla, Anand Vardhan; Mishra, Agya 2022 IEEE International Conference on Current Development in Engineering and Technology (CCET) https://doi.org/10.1109/CCET56606.2022.10080384	conference	December 2022
Non-Invasive Sleeping Posture Recognition and Body Movement Detection Based on RFID Hu, Xiaoxuan; Naya, Kagome; Li, Peng 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) https://doi.org/10.1109/Cybermatics_2018.2018.00302	conference	July 2018
Non-invasive sleep monitoring based on RFID Hu, Xiaoxuan; Naya, Kagome; Li, Peng 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom) https://doi.org/10.1109/HealthCom.2017.8210832	conference	October 2017
Optimization analysis of distribution of RFID multi-tag based on GA-BP neural network Zhou, Yujun; Wang, Donghua; Zhuang, Xiao 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) https://doi.org/10.1109/IAEAC.2017.8054135	conference	March 2017
CiFi: Deep convolutional neural networks for indoor localization with 5 GHz Wi-Fi Wang, Xuyu; Wang, Xiangyu; Mao, Shiwen 2017 IEEE International Conference on Communications (ICC) https://doi.org/10.1109/ICC.2017.7997235	conference	May 2017
VIRE: Active RFID-based Localization Using Virtual Reference Elimination Zhao, Yiyang; Liu, Yunhao; Ni, Lionel M. 2007 International Conference on Parallel Processing (ICPP 2007) https://doi.org/10.1109/ICPP.2007.84	conference	September 2007
TSCNN: A 3D Convolutional Activity Recognition Network Based on RFID RSSI Huang, Weiqing; Liu, Yi; Zhu, Shaoyi 2020 International Joint Conference on Neural Networks (IJCNN) https://doi.org/10.1109/IJCNN48605.2020.9207590	conference	July 2020
Review on UHF RFID Localization Methods Li, Chenyang; Mo, Lingfei; Zhang, Dongkai IEEE Journal of Radio Frequency Identification, Vol. 3, Issue 4 https://doi.org/10.1109/JRFID.2019.2924346	journal	December 2019
Fusion of RSS and Phase Shift Using the Kalman Filter for RFID Tracking Ma, Haishu; Wang, Kesheng IEEE Sensors Journal, Vol. 17, Issue 11 https://doi.org/10.1109/JSEN.2017.2696054	journal	June 2017
Image Processing and Deep Normalized CNN for the Location Measurement and Reading Distance Prediction of RFID Multitags Zhuang, Xiao; Zhou, Di; Cai, Jing IEEE Sensors Journal, Vol. 23, Issue 16 https://doi.org/10.1109/JSEN.2023.3293136	journal	August 2023
A UHF-RFID Gate Control System Based on a Recurrent Neural Network Alvarez-Narciandi, Guillermo; Motroni, Andrea; Pino, Marcos Rodriguez IEEE Antennas and Wireless Propagation Letters, Vol. 18, Issue 11 https://doi.org/10.1109/LAWP.2019.2929416	journal	November 2019
When RFID Meets Deep Learning: Exploring Cognitive Intelligence for Activity Identification Fan, Xiaoyi; Wang, Fangxin; Wang, Feng IEEE Wireless Communications, Vol. 26, Issue 3 https://doi.org/10.1109/MWC.2019.1800405	journal	June 2019
UHF-RFID smart gate: Tag action classifier by artificial neural networks Buffi, A.; D'Andrea, E.; Lazzerini, B. 2017 IEEE International Conference on RFID Technology & Application (RFID-TA) https://doi.org/10.1109/RFID-TA.2017.8098900	conference	September 2017
RFitness: Enabling Smart Yoga Mat for Fitness Posture Detection with Commodity Passive RFIDs Sun, Wei 2021 IEEE International Conference on RFID (RFID) https://doi.org/10.1109/RFID52461.2021.9444325	conference	April 2021
A Data Augmentation-Based Method for Robust Device-Free Localization in Changing Environments of Passive Radio Frequency Identification System Ma, Yongtao; Ning, Wanru; Wang, Bobo IEEE Transactions on Instrumentation and Measurement, Vol. 70 https://doi.org/10.1109/TIM.2021.3065426	journal	January 2021
3D Localization of RFID Antenna Tags Using Convolutional Neural Networks Patel, Sohel J.; Zawodniok, Maciej J. IEEE Transactions on Instrumentation and Measurement, Vol. 71 https://doi.org/10.1109/TIM.2022.3146604	journal	January 2022
Multi-Adversarial In-Car Activity Recognition Using RFIDs Wang, Fangxin; Liu, Jiangchuan; Gong, Wei IEEE Transactions on Mobile Computing, Vol. 20, Issue 6 https://doi.org/10.1109/TMC.2020.2977902	journal	June 2021
An Information Framework for Creating a Smart City Through Internet of Things Jin, Jiong; Gubbi, Jayavardhana; Marusic, Slaven IEEE Internet of Things Journal, Vol. 1, Issue 2 https://doi.org/10.1109/jiot.2013.2296516	journal	April 2014
A UHF-RFID gate control system based on a Convolutional Neural Network Alvarez-Narciandi, Guillermo; Motroni, Andrea; Pino, Marcos R. 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA) https://doi.org/10.1109/rfid-ta.2019.8892080	conference	September 2019
Preliminary Analysis of RFID Localization System for Moving Precast Concrete Units using Multiple-Tags and Weighted Euclid Distance k-NN algorithm Durtschi, Barrett; Mahat, Mahesh; Mashal, Mustafa 2021 IEEE International Conference on RFID (RFID) https://doi.org/10.1109/rfid52461.2021.9444370	conference	April 2021
The active badge location system Want, Roy; Hopper, Andy; Falcão, Veronica ACM Transactions on Information Systems, Vol. 10, Issue 1 https://doi.org/10.1145/128756.128759	journal	January 1992
Tagoram Yang, Lei; Chen, Yekui; Li, Xiang-Yang Proceedings of the 20th annual international conference on Mobile computing and networking https://doi.org/10.1145/2639108.2639111	conference	September 2014
RFID 3D-LANDMARC Localization Algorithm Based on Quantum Particle Swarm Optimization Wu, Xiang; Deng, Fangming; Chen, Zhongbin Electronics, Vol. 7, Issue 2 https://doi.org/10.3390/electronics7020019	journal	February 2018

Similar Records

Falls Risk Classification of Older Adults Using Deep Neural Networks and Transfer Learning

Journal Article · 2019 · IEEE Journal of Biomedical and Health Informatics · OSTI ID:1507516

Martinez, Matthew Thomas; De Leon, Phillip

Method of remote powering and detecting multiple UWB passive tags in an RFID system

Patent · 2012 · OSTI ID:1041250

Dowla, Farid U; Nekoogar, Faranak; Benzel, David M; +2 more

Documentation pckage for the RFID temperature monitoring system (Of Model 9977 packages at NTS).

Technical Report · 2009 · OSTI ID:951253

Chen, K; Tsai, H

Related Subjects

42 ENGINEERING
Action Recognition
Action Recognition Model
Activity recognition
Angle Of Arrival
Artificial Neural Network
Biological neural networks
Classification Problem
Convolutional Neural Network
Convolutional Neural Network Architecture
Convolutional Neural Network Model
Data models
Deep Convolutional Neural Network
Deep Neural Network
Doppler Frequency
Internet Of Things
Local Field
Local Method
Localization Error
Localization Techniques
Location awareness
Long Short-term Memory
Machine Learning
Machine learning
Network Layer
Neural Network
Neurons
Preprocessing Tool
RFID
Radio Frequency Identification
Radio Frequency Identification Applications
Radio Frequency Identification Reader
Radio Frequency Identification Tags
Received Signal Strength Indicator
Recurrent Neural Network
Recurrent neural networks
Types Of Problems
Ultra-high Frequency
Use Of Neural Networks
localization

Title: Overview of RFID Applications Utilizing Neural Networks

Citation Formats

References (29)

Similar Records

Related Subjects