Development of an Indoor Navigation System Using NFC Technology
Open accessAbstract
Existing indoor navigation systems face with many different technical and usability problems. In this paper we present a Near Field Communication (NFC) based indoor navigation system called NFC Internal in order to eliminate the current indoor navigation problems. NFC Internal enables an easy data transfer for indoor navigation systems just by touching tags spread over a building or a complex. The proposed system has several benefits and has potential to increase the usability of these systems. We discuss the system requirements and explain the phases of NFC Internal through use cases.
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With NFC, PVI do not need to be in a direct line of sight between the reader and tags.
“PVI do not need to be in a direct line of sight between the reader and tags”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [73]
NFC is not as effective and efficient as Bluetooth or Wi-Fi Direct.
“NFC is not as effective and efficient as Bluetooth or Wi-Fi Direct”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [73]
NFC minimizes response time and provides accurate position information.
“NFC minimizes response time and provides accurate position information”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [73]
PVI should be inside the reading area in order to identify NFC tags.
“PVI should be inside the reading area in order to identify NFC tags”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [73]
NFC tags work well in unclean environments.
“NFC tags work well in unclean environment”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [73]
PVI must have an NFC-equipped mobile device to use NFC.
“PVI must have an NFC-equipped mobile”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [73]
NFC has low cost, requires an NFC reader, can scan one item at a time, does not require line of sight, has a range up to 10 cm, and a maximum capacity of 1.6 MB.
“| NFC | Low | NFC reader | 1 | No | Up to 10 cm | Maximum 1.6MB |”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [73]
Cites
Wayfinding with a GPS-based mobile navigation system: A comparison with maps and direct experience
Ishikawa, T., Fujiwara, H., Imai, O., & Okabe, A. (2008) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2007.09.002 · Cited by 445 · see citing works
An introduction to geographical information systems
Hudzik, P. (1999) · Choice Reviews Online · doi:10.5860/choice.36-3920 · Cited by 362 · see citing works
Indoor Navigation of Emergency Agents
Renaudin, V., Yalak, O., Tomé, P., & Merminod, B. (2007) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 95 · see citing works
Indoor navigation system for visually impaired
Ivanov, R. (2010) · International Conference on Computer Systems and Technologies (CompSysTech) · doi:10.1145/1839379.1839405 · Cited by 88 · see citing works
Personal Navigation System for Indoor Applications
Gilliéron, P., & Merminod, B. (2003) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 72 · see citing works
Design and Implementation of an Indoor Mobile Navigation System
Ka, A., & Miu, L. (2002) · Cited by 47 · see citing works
Indoor Navigation Performance Analysis
Gilliéron, P., Büchel, D., Spassov, I., & Merminod, B. (2004) · Cited by 39 · see citing works
Spontaneous and privacy-friendly mobile indoor routing and navigation
Ruppel, P., & Gschwandtner, F. (2009) · GI-Jahrestagung · Cited by 7 · see citing works
Flagged first, then by citations
1 of the 9 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
A Survey on Near Field Communication (NFC) Technology
Coşkun, V., Özdenizci, B., & Ok, K. (2012) · Wireless Personal Communications · doi:10.1007/s11277-012-0935-5 · Cited by 392 · see citing works
Self-citationA State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies
Sakpere, W., Oshin, M. A., & Mlitwa, N. (2017) · South African Computer Journal · doi:10.18489/sacj.v29i3.452 · Cited by 196 · see citing works
The Survey on Near Field Communication
Coskun, V., Ozdenizci, B., & Ok, K. (2015) · Sensors · doi:10.3390/s150613348 · Cited by 122 · see citing works
Self-citationA Survey of Smartphone-Based Indoor Positioning System Using RF-Based Wireless Technologies
Subedi, S., & Pyun, J.-Y. (2020) · Sensors · doi:10.3390/s20247230 · Cited by 120 · see citing works
Near field communication technology in tourism
Pesonen, J. A., & Horster, E. (2012) · Tourism Management Perspectives · doi:10.1016/j.tmp.2012.04.001 · Cited by 119 · see citing works
Tsirmpas, C., Rompas, A., Fokou, O., & Koutsouris, D. (2015) · Information Sciences · doi:10.1016/j.ins.2014.08.011 · Cited by 103 · see citing works
NFC internal: An indoor navigation system
Ozdenizci, B., Coskun, V., & Ok, K. (2015) · Sensors · doi:10.3390/s150407571 · Cited by 96 · see citing works
Self-citationXu, L., Feng, C., Kamat, V. R., & Menassa, C. C. (2019) · Automation in Construction · doi:10.1016/j.autcon.2019.04.011 · Cited by 90 · see citing works
Positioning Methods and the Use of Location and Activity Data in Forests
Keefe, R. F., Wempe, A. M., Becker, R. M., Zimbelman, E. G., Nagler, E. S., Gilbert, S. L., & Caudill, C. C. (2019) · Forests · doi:10.3390/f10050458 · Cited by 79 · see citing works
Nair, V., Olmschenk, G., Seiple, W., & Zhu, Z. (2020) · Assistive Technology · doi:10.1080/10400435.2020.1809553 · Cited by 66 · see citing works
Recent advances in vision-based indoor navigation: A systematic literature review
Khan, D., Cheng, Z., Uchiyama, H., Ali, S., Asshad, M., & Kiyokawa, K. (2022) · Computers & Graphics · doi:10.1016/j.cag.2022.03.005 · Cited by 67 · see citing works
PERCEPT-II: Smartphone based indoor navigation system for the blind
Ganz, A., Schafer, J. M., Tao, Y., Wilson, C., & Robertson, M. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944417 · Cited by 62 · see citing works
Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies
Elgendy, M., Sik-Lanyi, C., & Kelemen, A. (2019) · Applied Sciences · doi:10.3390/app9061061 · Cited by 48 · see citing works
“These tags also give audio messages that provide verbal directions [33,73].”
BackgroundIndoor Localization and Guidance Using Portable Smartphones
Hammadi, O. A., Hebsi, A. A., Zemerly, M. J., & Ng, J. (2012) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2012.262 · Cited by 47 · see citing works
Tian, Q., Salcic, Z. A., Wang, K. I., & Pan, Y. (2015) · Sensors · doi:10.3390/s151229827 · Cited by 47 · see citing works
Unsupervised Learning Techniques for Trilateration: From Theory to Android APP Implementation
Choi, J., Choi, Y.-S., & Talwar, S. (2019) · IEEE Access · doi:10.1109/access.2019.2941657 · Cited by 36 · see citing works
Smart Indoor Positioning/Location and Navigation: A Lightweight Approach
Puertolas-Monta�ez, J. A., Rodriguez, A. M., & Prieto, I. S. (2013) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2013.225 · Cited by 32 · see citing works
A Generic Approach toward Indoor Navigation and Pathfinding with Robust Marker Tracking
Khan, D., Ullah, S., & Nabi, S. (2019) · Remote Sensing · doi:10.3390/rs11243052 · Cited by 31 · see citing works
ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information
Nair, V., Budhai, M., Olmschenk, G., Seiple, W., & Zhu, Z. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-11024-6_9 · Cited by 27 · see citing works
NFC based applications for visually impaired people - A review
AlZuhair, M. S., Benabid, A., & Kanjo, E. (2014) · IEEE International Conference on Multimedia and Expo workshops · doi:10.1109/icmew.2014.6890657 · Cited by 23 · see citing works
Object identification and localization by smart floors
Hvizdos, J., Vaščák, J., & Březina, A. (2015) · IEEE International Conference on Intelligent Engineering Systems (INES) · doi:10.1109/ines.2015.7329649 · Cited by 22 · see citing works
Multi sensor system for pedestrian tracking and activity recognition in indoor environments
Marron, J. J., Labrador, M. A., Valle, A. M., Fernández-Lanvin, D., & Rodríguez, M. G. (2016) · International Journal of Ad Hoc and Ubiquitous Computing · doi:10.1504/ijahuc.2016.078480 · Cited by 18 · see citing works
Infrastructure-free indoor navigation: a case study
Carboni, D., Manchinu, A., Marotto, V., Piras, A., & Serra, A. (2015) · Journal of Location Based Services · doi:10.1080/17489725.2015.1027751 · Cited by 16 · see citing works
Calibration-Free Single-Anchor Indoor Localization Using an ESPAR Antenna
Groth, M., Nyka, K., & Kulas, Ł. (2021) · Sensors · doi:10.3390/s21103431 · Cited by 15 · see citing works
Indoor Navigation System Using Bluetooth Low Energy Beacons
Singh, A., Shreshthi, Y. R., Waghchoure, N. R., & Wakchaure, A. B. (2018) · International Conference on Computing Communication Control and automation · doi:10.1109/iccubea.2018.8697351 · Cited by 14 · see citing works
iNavigation: an image based indoor navigation system
Wang, E., & Yan, W. Q. (2013) · Multimedia Tools and Applications · doi:10.1007/s11042-013-1656-9 · Cited by 14 · see citing works
Campus Event App - New Exploration for Mobile Augmented Reality
Chao, J. T., Pan, L., & Parker, K. R. (2014) · Issues in Informing Science and Information Technology · doi:10.28945/1976 · Cited by 13 · see citing works
Classification of NFC Applications in Diverse Service Domains
Özdenizci, B., Alsadi, M., Ok, K., & Coşkun, V. (2013) · International Journal of Computer and Communication Engineering · doi:10.7763/ijcce.2013.v2.260 · Cited by 11 · see citing works
Self-citationRFID Technology Integration for Business Performance Improvement
Lee, I. (2014) · Advances in e-business research series · doi:10.4018/978-1-4666-6308-4 · Cited by 11 · see citing works
Exploiting linked data to create rich human digital memories
Dobbins, C., Merabti, M., Fergus, P., Llewellyn-Jones, D., & Bouhafs, F. (2013) · Computer Communications · doi:10.1016/j.comcom.2013.06.008 · Cited by 10 · see citing works
Zhu, R., Wang, Y., Cao, H., Yu, B., Gan, X., Huang, L. H., Zhang, H., Li, S., Jia, H., & Chen, J. (2020) · Sensors · doi:10.3390/s20061791 · Cited by 10 · see citing works
NFC/INS integrated navigation system: The promising combination for pedestrians' indoor navigation
Edwan, E., Bourimi, M., Joram, N., Al‐Qudsi, B., & Ellinger, F. (2014) · International Symposium on Fundamentals of Electrical Engineering · doi:10.1109/isfee.2014.7050627 · Cited by 10 · see citing works
Birla, S., Singh, G., Kumhar, P., Gunjalkar, K., Sarode, S., Choubey, S., & Pawar, M. V. (2020) · International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · doi:10.1109/icacccn51052.2020.9362984 · Cited by 9 · see citing works
QiLoc: A Qi wireless charging based system for robust user-initiated indoor location services
Li, Y., Wang, Y., Cheng, Y., Li, X., & Xing, G. (2015) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/sahcn.2015.7338349 · Cited by 8 · see citing works
Real-Time Infrastructureless Indoor Tracking for Pedestrian Using a Smartphone
Yang, Z., Pan, Y., Tian, Q., & Huan, R. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2930070 · Cited by 8 · see citing works
Analysis of Dijkstra’s and A* algorithm to find the shortest path
Alija, A. S. (2015) · UTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia) · Cited by 7 · see citing works
Hide-and-seek in Macquarie University Library: geocaching as an educational and outreach tool
Spencer, A. M. (2014) · The Australian Library Journal · doi:10.1080/00049670.2014.985179 · Cited by 6 · see citing works
Can Near Field Communication Solve the Limitations in Mobile Indoor Navigation?
Sakpere, W., & Adeyeye, M. O. (2014) · Advances in e-business research series · doi:10.4018/978-1-4666-6308-4.ch003 · Cited by 6 · see citing works
Towards an efficient indoor navigation system: a near field communication approach
Sakpere, W. E., Mlitwa, N. B. W., & Oshin, M. A. (2017) · Journal of Engineering, Design and Technology · doi:10.1108/jedt-10-2016-0073 · Cited by 13 · see citing works
VirtualEyez: Developing NFC Technology to Enable the Visually Impaired to Shop Independently
Alnfiai, M. M., Sampalli, S., & MacKay, B. (2016) · International Journal of Electrical and Computer Systems · doi:10.11159/ijecs.2016.001 · Cited by 5 · see citing works
Noise-Resilient Acoustic Low Energy Beacon for Proximity-Based Indoor Positioning Systems
Aguilera, T., Aranda, F. J., Parralejo, F., Gutiérrez, J. D., Moreno, J. A., & Álvarez, F. J. (2021) · Sensors · doi:10.3390/s21051703 · Cited by 5 · see citing works
Automated Marker Augmentation and Path Discovery in Indoor Navigation for Visually Impaired
Sani, R. S., Ullah, S., & Rahman, S. U. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-60922-5_33 · Cited by 5 · see citing works
EasyPrivacy: Context-Aware Resource Usage Control System for Android Platform
Ren, B., Liu, C., Cheng, B. H., Hong, S., Guo, J., & Chen, J. (2018) · IEEE Access · doi:10.1109/access.2018.2864992 · Cited by 5 · see citing works
Towards An Indoor Navigation System Using Monocular Visual SLAM
Bajpai, A., & Amir-Mohammadian, S. (2021) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac51774.2021.00077 · Cited by 5 · see citing works
Alattas, A. (2022) · Architecture and the Built Environment · doi:10.59490/abe.2022.05.6314 · Cited by 5 · see citing works
Designing an Indoor Navigation System for Elderly People’s Capabilities
Källström, M., Berdal, S., & Joshi, S. G. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20913-5_40 · Cited by 5 · see citing works
Ninomiya, H., Ito, E., Flanagan, B., & Hirokawa, S. (2012) · IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID) · doi:10.1109/icasid.2012.6325346 · Cited by 4 · see citing works
Fujiwara, Y., HIROI, Y., Tanaka, Y., & Ito, A. (2015) · IEEE RO-MAN · doi:10.1109/roman.2015.7333579 · Cited by 4 · see citing works
Alsaedi, S. B., & Azim, M. M. A. (2017) · IEEE GCC Conference and Exhibition (GCCCE) · doi:10.1109/ieeegcc.2017.8448129 · Cited by 4 · see citing works
CINA - A Crowdsourced Indoor Navigation Assistant
Reinsch, T., Wang, Y., Knechtel, M., Ameling, M., & Herzig, P. (2013) · IEEE/ACM International Conference on Utility and Cloud Computing (UCC) · doi:10.1109/ucc.2013.97 · Cited by 4 · see citing works
Indoor routing in three dimensional spaces
Dionti, T. A., Adhinugraha, K. M., & Alamri, S. (2017) · doi:10.1109/icoict.2017.8074696 · Cited by 4 · see citing works
Real-time indoor tracking for augmented reality using computer vision technique
Shewail, A. S., Zayed, H. H., & ElSayed, N. (2024) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v13.i2.pp1845-1857 · Cited by 3 · see citing works
BLE Beacon Interaction Module and Mobile Application in the Indoor-Navigation System
Karabtcev, S. N., Khorosheva, T. A., & Kapkov, N. R. (2019) · 2019 International Science and Technology Conference "EastConf" · doi:10.1109/eastconf.2019.8725420 · Cited by 3 · see citing works
QiLoc---a Qi-wireless based platform for robust user-initiated indoor location services
Li, Y., Cheng, Y., Li, X., Wang, Y., Xing, G., & Jiang, X. (2014) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/2674061.2675026 · Cited by 3 · see citing works
Navegación en interiores utilizando la tecnología beacons
Martínez, A., López-García, L. A., Estrada, H., Lavalle, M. M., & Hernández, J. O. (2019) · Research in Computing Science · doi:10.13053/rcs-148-8-26 · Cited by 2 · see citing works
Near Friends Communication Encouragement System Using NFC and SNS
Ninomiya, H., Flanagan, B., Ito, E., & Hirokawa, S. (2012) · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) · doi:10.1109/iiai-aai.2012.37 · Cited by 2 · see citing works
Fingerprint Database Optimization Method for Indoor Localization Based on Neighbor Mean Filter
Zhang, A., Guo, L., Wu, Q., & Zeng, Q. (2018) · International Conference on Agro-Geoinformatics · doi:10.1109/agro-geoinformatics.2018.8476056 · Cited by 2 · see citing works
Indoor Campus Navigation using Web Application System for Seamless University Mobility
Chitra, U. T., Rajesh, K., Harshitha, M., & Priyadharshini, S. P. (2023) · International Conference on Intelligent Computing and Control for Engineering and Business Systems (ICCEBS) · doi:10.1109/iccebs58601.2023.10448673 · Cited by 2 · see citing works
Suzuki, K., Sakamoto, D., Nishi, S., & Ono, T. (2019) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3338286.3344417 · Cited by 2 · see citing works
A Near Field Communication Framework for Indoor Navigation: Design and Deployment Considerations
Sakpere, W. (2015) · doi:10.13140/rg.2.2.14960.12805 · Cited by 2 · see citing works
An efficient technique to retrieve information from a damaged near-field communication tag
Saeed, D., & Iqbal, R. (2017) · International Journal of Intelligent Computing and Cybernetics · doi:10.1108/ijicc-08-2016-0028 · Cited by 2 · see citing works
ANALYSIS OF SMART STORE SOLUTIONS USING PROXIMITY TECHNOLOGIES
Dighe, S. (2017) · International Journal of Advanced Research in Computer Science · doi:10.26483/ijarcs.v8i9.4818 · Cited by 2 · see citing works
Dumedah, G., Fuseini, A. W., Marfo, I., Agbadi, G., Osei‐Tutu, A., Kwadwo, G. F., & Asori, M. (2022) · Transactions in GIS · doi:10.1111/tgis.12998 · Cited by 2 · see citing works
Maurya, A. (2024) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2024.61396 · Cited by 2 · see citing works
ANALYSIS OF THE ATTACKER AND DEFENDER GAN MODELS FOR THE INDOOR NAVIGATION NETWORK
Niu, L., Song, Y., Chu, J., & Li, S. (2021) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xliii-b4-2021-237-2021 · Cited by 1 · see citing works
SLIMs: Smart Lightweight Indoor Maps
Sangthong, S., Purahong, B., & Laskul, A. (2013) · Advances in intelligent systems research/Advances in Intelligent Systems Research · doi:10.2991/3ca-13.2013.43 · Cited by 1 · see citing works
Design of Tourism Application Based on RFID Technology
Lee, J., Lee, J., & Kim, S. (2014) · IEIE Transactions on Smart Processing and Computing · doi:10.5573/ieiespc.2014.3.2.74 · Cited by 1 · see citing works
Indoor location estimation using an NFC-based crowdsourcing approach for bootstrapping
Chaudhry, M. (2013) · Cited by 1 · see citing works
SOCS Wayfinder: Using a Low Cost Solution for Geolocation and Pathfinding Indoors
Koutsak, M., & Hendren, L. J. (2016) · International Journal of Computer Applications · doi:10.5120/ijca2016911752 · Cited by 1 · see citing works
Survey of indoor navigation solutions
Boros, T. (2020) · Multidiszciplináris Tudományok · doi:10.35925/j.multi.2020.2.11 · Cited by 1 · see citing works
iNavigation: an image based indoor navigation system
Wang, L. (2012) · Tuwhera (Auckland University of Technology) · Cited by 1 · see citing works
Abdullah, O. (2016) · ScholarWorks - WMU (Western Michigan University)
A Navigation Guide for Visually Impaired Person
Singhal, S., & Modi, S. (2016)
Framework of a 3D BIM and Smart Device-Based Indoor Navigation System for Construction Management
Park, J., & Cai, H. (2018) · ASCE Construction Research Congress (CRC) · doi:10.1061/9780784481264.040
ANALYSIS OF INDOOR POSITIONING SCENARIO USING MATLAB ENVIRONMENT
Segura, S. (2018) · International Multidisciplinary Scientific GeoConference SGEM ... · doi:10.5593/sgem2018/2.2/s09.074
An Improved Design and Implementation of a Range-Controlled Communication System for Mobile Phones
Gong, M., Zhang, H., & Liu, Z. (2020) · Sensors · doi:10.3390/s20174997
Clutter Slices Approach for Identification-on-the-Fly of Indoor Spaces
Kaur, U., Abbaraju, P., McCarty, H., & Voyles, R. M. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-68787-8_36
Generating Indoor Navigation Routes Using Beacons
Martínez, A., Estrada, H., López-García, L. A., Torres-Restrepo, L., & Ortiz-Hernández, J. (2020) · International Conference on Computational Science and Computational Intelligence (CSCI) · doi:10.1109/csci51800.2020.00220
A Review of Indoor Positioning Systems (IPS) and Their Different Use-Cases
Louafi, B., Hain, M., & Jadli, A. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-91738-8_45
Sand, S., Dammann, A., & Mensing, C. (2014) · doi:10.1002/9781118694114.refs
Azimuth Calculation and Telecommunication between VR Headset and Smartphones for Nearby Interaction
Yang, X., Chen, S., Bulovic, K., Zhu, J., & Mueller, S. (2023) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/3569009.3573107
Optical Navigation by recognition of reference labels using 3D calibration of camera.
Anwar, Q. (2013) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
On Smart Technologies in Smart Cities for PwDs
Chandel, M., & Sood, M. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-96-8107-5_11
Automated Localized Area Navigation for an Autonomous Building
Bhatkoti, A., Johari, S., & Bhatnagar, N. (2026) · Web Intelligence · doi:10.1177/24056456261463873
- Authors
- Ozdenizci, B., Ok, K., Coskun, V., & Aydin, M. N.
- Affiliations
- Işık University (TR)
- ORCID
- Ok, Kerem
- Venue
- 2011 Fourth International Conference on Information and Computing
- Publisher
- IEEE
- Published
- 2011-04
- Pages
- 11-14
- OpenAlex
- W2121047652
- Cited by
- 85
- References
- 9
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 7 · 2019: 11 · 2018: 5 · 2017: 7 · 2016: 5 · 2015: 10 · 2014: 11 · 2013: 8 · 2012: 6
- FWCI
- 10.85
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- Locations
- International Conference on Information and Computing Science (ICIC) (publishedVersion)
- Akademik Açık Erişim (Işık Üniversitesi) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Physical Sciences › Engineering › Media Technology › RFID technology advancements
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Keywords
- indoor navigation, near field communication, NFC tags, usability, wayfinding
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