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Adaptive clustering for device free user positioning utilizing passive RFID

Authors:

Benjamin Wagner,

Dirk TimmermannAuthors Info & Claims

UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

Pages 499 - 508

https://doi.org/10.1145/2494091.2497608

Published: 08 September 2013 Publication History

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Abstract

Context sensing is an important part of building ubiquitous smart and assistive environments. It is the major data source for intention recognition and strategy generation systems. Device-free localization systems (DFL) join the efforts of non-instrumentation of users maintaining their privacy.

In recent publications we propose an innovative approach utilizing a cluster of passive Radio Frequency Identification Transponders (pRFID) for device-free radio-based positioning. Due to the point that the RFID technology is typically not designed for that purpose we have to deal with certain drawbacks. A high number of transponders typically conclude in lower measurement frame rates while generating substantially more information for accurate positioning.

To fix this tradeoff this work presents a transponder clustering approach based on inherent EPC protocol based bit masking, which allows us to calculate fast coarse grained localization results and increase the precision by time, so that the user is able to adjust between localization speed and accuracy.

We made simulations and conducted experiments in an indoor room DFL scenario for validation.

References

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Cited By

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Fan XGong WLiu J(2018)TagFree Activity Identification with RFIDsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31917392:1(1-23)Online publication date: 26-Mar-2018
https://dl.acm.org/doi/10.1145/3191739
Olson JValova IMichel H(2016)WSCISOM: wireless sensor data cluster identification through a hybrid SOM/MLP/RBF architectureProgress in Artificial Intelligence10.1007/s13748-016-0099-85:4(233-250)Online publication date: 13-Aug-2016
https://doi.org/10.1007/s13748-016-0099-8
Sigg SShi SJi Y(2014)Teach Your WiFi-DeviceInternational Journal of Ambient Computing and Intelligence10.4018/ijaci.20140101026:1(20-34)Online publication date: Jan-2014
https://doi.org/10.4018/ijaci.2014010102
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Adaptive clustering for device free user positioning utilizing passive RFID
1. Software and its engineering

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Published In

UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

September 2013

1608 pages

ISBN:9781450322157

DOI:10.1145/2494091

General Chairs:
Friedemann Mattern
ETH Zurich, CH
,
Silvia Santini
TU Darmstadt, DE
,
Program Chairs:
John F. Canny
UC Berkeley, US
,
Marc Langheinrich
Università della Svizzera italiana, CH
,
Jun Rekimoto
University of Tokyo, JP

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 the author(s) 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2013

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SIGMOBILE
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UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 8 - 12, 2013

Zurich, Switzerland

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UbiComp '13 Adjunct Paper Acceptance Rate 254 of 399 submissions, 64%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Citations

Cited By

View all

Fan XGong WLiu J(2018)TagFree Activity Identification with RFIDsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31917392:1(1-23)Online publication date: 26-Mar-2018
https://dl.acm.org/doi/10.1145/3191739
Olson JValova IMichel H(2016)WSCISOM: wireless sensor data cluster identification through a hybrid SOM/MLP/RBF architectureProgress in Artificial Intelligence10.1007/s13748-016-0099-85:4(233-250)Online publication date: 13-Aug-2016
https://doi.org/10.1007/s13748-016-0099-8
Sigg SShi SJi Y(2014)Teach Your WiFi-DeviceInternational Journal of Ambient Computing and Intelligence10.4018/ijaci.20140101026:1(20-34)Online publication date: Jan-2014
https://doi.org/10.4018/ijaci.2014010102
Wagner BRitt TTimmermann D(2014)Multiple user recognition with passive RFID tomography2014 11th Workshop on Positioning, Navigation and Communication (WPNC)10.1109/WPNC.2014.6843289(1-6)Online publication date: Mar-2014
https://doi.org/10.1109/WPNC.2014.6843289
Sigg SBlanke UTroster G(2014)The telepathic phone: Frictionless activity recognition from WiFi-RSSI2014 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom.2014.6813955(148-155)Online publication date: Mar-2014
https://doi.org/10.1109/PerCom.2014.6813955
Sigg SShi SBuesching FJi YWolf LMayrhofer RChen LSteinbauer MKotsis GKhalil I(2013)Leveraging RF-channel fluctuation for activity recognitionProceedings of International Conference on Advances in Mobile Computing & Multimedia10.1145/2536853.2536873(43-52)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1145/2536853.2536873
Scholz MSigg SYoussef MMattern FSantini SCanny JLangheinrich MRekimoto J(2013)CoSDEO 2013Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication10.1145/2494091.2497616(491-498)Online publication date: 8-Sep-2013
https://dl.acm.org/doi/10.1145/2494091.2497616

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