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Indoor localization based on CSI in dynamic environments through domain adaptation
2021
IEICE Communications Express
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To address this issue, we use a transfer learning method, "Integration of Global and Local Metrics for Domain Adaptation (IGLDA)," and improve it, aiming to adapt the original localization model to the ...
Wi-Fi signals are, however, easily affected by environmental factors such as furniture changes. ...
Fig. 1 . 1 Flowchart of indoor localization in dynamic environments through domain adaptation.
Fig. 2 . 2 Environment layout.
Table I . I Accuracy of IGLDA. ...
doi:10.1587/comex.2021xbl0075
fatcat:3zaqrnpyhfg63fq5iebg7oqdju
Knowledge Preserving OSELM Model for Wi-Fi-Based Indoor Localization
2019
Sensors
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Existing models of machine learning Wi-Fi-based localization are brought from machine learning and modified to accommodate for practical aspects that occur in indoor localization. ...
Enabling the use of Wi-Fi for indoor localization necessitates the construction of a fingerprint and the adoption of a learning algorithm. ...
One particular example involving Wi-Fi localization is when users go back and forth within indoor environment areas. ...
doi:10.3390/s19102397
fatcat:bjzjkfzewfgzdi2skiebwxgynm
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
2016
IEEE Communications Surveys and Tutorials
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In particular, Wi-Fi fingerprinting has been attracting much attention recently because it does not require line-of-sight measurement of access points (APs) and achieves high applicability in complex indoor ...
This survey overviews recent advances on two major areas of Wi-Fi fingerprint localization: advanced localization techniques and efficient system deployment. ...
Non-infrastructure-based: The transfer learning based algorithm [151] has been proposed to adapt to the signal change [143] . ...
doi:10.1109/comst.2015.2464084
fatcat:vgqxvxzrl5ddte7xi4x4rnd5oa
A Survey of Machine Learning for Indoor Positioning
2020
IEEE Access
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In addition to transfer learning, DL techniques have shown great potentials in enhancing localization, in complex environment scenarios. ...
GFP improves the accuracy of localization by fully leveraging all fingerprints without modifying any hardware, and thus very promising for indoor localization in the Wi-Fi environment. ...
doi:10.1109/access.2020.3039271
fatcat:htzgf2mwp5gmjbx3cczg5rl7ru
Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview
2021
IEEE Access
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INDEX TERMS Machine learning, fingerprints, indoor localization, positioning, deep learning, received signal strength indicator, Wi-Fi. ...
In recent years, many researchers have proposed a wide range of machine learning (ML)-based indoor localization approaches using Wi-Fi received signal strength indicator (RSSI) fingerprints. ...
In the first step of the offline phase, the floor plan of a Wi-Fi-network-enabled indoor environment is defined, where a localization service is provided. ...
doi:10.1109/access.2021.3111083
fatcat:7o6zb7kycrgftfpsukuwnsl24m
Indoor positioning and wayfinding systems: a survey
2020
Human-Centric Computing and Information Sciences
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In indoor environments, the GPS cannot provide fair accuracy in tracking due to nonline of sight issues [3] . ...
Navigation and positioning systems that utilize pedestrian dead reckoning (PDR) methods and various communication technologies, such as Wi-Fi, Radio Frequency Identification (RFID) visible light, Bluetooth ...
[97] have adapted CNN for Wi-Fi based indoor localization system for mobile devices. ...
doi:10.1186/s13673-020-00222-0
fatcat:m7lt5zdcjbbsvlh7fwatjvpx6y
W-13 Capstone Design Project: A Hybrid Indoor Positioning Algorithm using PDR and Fingerprint at a Multi-Story Building under Wi-Fi Environment
2017
JSEE Annual Conference International Session Proceedings
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in multi-story building under Wi-Fi environment in this paper. ...
The multi-wall-and-floor (MWF) model is used for the inter-floored positioning at a multi-story building in Wi-Fi environment. ...
The fingerprint scheme is a typical positioning technique for the localization of smartphone user in indoor Wi-Fi environment. ...
doi:10.20549/jseeen.2017.0_77
fatcat:vhcp6oyw5fbvfhltnfxampc3iq
Wayfinding Techniques at Common First Year King Saud University - An Indoor Localization Approach for Navigation
2021
Turkish Journal of Computer and Mathematics Education
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This presented an opportunity for indoor navigation to develop a system for indoor positioning systems, such as GPS, that can assist any beneficiary in navigating inside the building and locating themselves ...
Overall, a meta-analysis was completed that will aid in the implementation of the sensors nodes technique in the future as a prototype on Common First Year campuses. ...
His area of specialization includes Advanced ICT solutions on Smart Environments and Smart Classroom. ...
doi:10.17762/turcomat.v12i3.1686
fatcat:hnouwig3lzaazco6zkwud5llcq
Location Agent: A Study Using Different Wireless Protocols for Indoor Localization
2013
International Journal of Wireless Communications and Mobile Computing
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existing wireless network protocols: Wi-Fi, Bluetooth and ZigBee. ...
However, indoor mobile users localization is not a trivial problem, since it involves checking various devices, transmitting signals simultaneously on the same radio frequency, with possibly the three ...
Furthermore, we compare results of three ANN supervised learning algorithms (BP, BPM and LM) to indoor localization trained with data of three wireless protocols: Wi-Fi, Bluetooth and ZigBee. ...
doi:10.11648/j.wcmc.20130101.11
fatcat:jdebz65hzbcalcrgi5udakrseu
Localization with Transfer Learning Based on Fine-Grained Subcarrier Information for Dynamic Indoor Environments
2021
Sensors
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Indoor localization provides robust solutions in many applications, and Wi-Fi-based methods are considered some of the most promising means for optimizing indoor fingerprinting localization accuracy. ...
However, Wi-Fi signals are vulnerable to environmental variations, resulting in data across different times being subjected to different distributions. ...
To overcome the variations in Wi-Fi signals across time, we apply transfer learning to CSI readings for indoor fingerprinting localization.
2. ...
doi:10.3390/s21031015
pmid:33540823
pmcid:PMC7867339
fatcat:hspys6i44fcafmc6whqpzdjc4q
Estimating Location Using Wi-Fi
2008
IEEE Intelligent Systems
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System science and data mining makes localization through Wi-Fi and sensors feasible. This data mining contest brought many innovative solutions to this challenging and important problem. ...
Machine learning-based methods have proven among the most accurate. However, Wi-Fi data is noisy owing to the indoor environment's multipath and shadow fading effects. ...
an indoor environment, received from Wi-Fi access points. ...
doi:10.1109/mis.2008.4
fatcat:y3l2rbex5favhjqqmv7r3djozy
Improved Genetic Algorithm to Optimize the Wi-Fi Indoor Positioning Based on Artificial Neural Network
2020
IEEE Access
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In order to make more effective use of Wi-Fi fingerprint data to position an object, an improved adaptive genetic algorithm (IAGA) is proposed to optimize the BP (Back Propagation) neural network, namely ...
The simulation results show that compared with the traditional Wi-Fi positioning method, the proposed Wi-Fi positioning method has a faster convergence speed and better positioning accuracy of 2.48 meters ...
Her current research interests include indoor Wi-Fi positioning and machine learning. ...
doi:10.1109/access.2020.2988322
fatcat:5hyqkpcb3restcvot5b534zmee
ALIGNING POSITIONING AND NAVIGATION OF SMART MOBILE DEVICES TO AR/VR ENVIRONMENTS
2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Such accuracies and restrictions lead to gaps in fetching visitor's position in AR environments and mis-positions with regard to the rest AR/VR objects as visualized in smart screens, while the problem ...
in both out-doors archaeological spaces as well as in in-doors museum spaces. ...
The accuracy that someone can expect from Wi-Fi technology for indoor localization is a few meters (2 meters and above). ...
doi:10.5194/isprs-archives-xlvi-m-1-2021-347-2021
fatcat:5cvf5clfrvgezpxvor7zhjuzlu
Learning Spatial Constraints using Gaussian Process for Shared Control of Semi-autonomous Mobile Robots
2017
Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics
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In particular, the presented approach benefits from using Gaussian Process Regression method to learn the distribution of indoor Wi-Fi signal strength (WSS) and to fuse it with the environmental occupancy ...
In this paper, a novel human-robot shared control approach is proposed to solve the problem of semiautonomous mobile robot navigation with the spatial constraints of maintaining reliable Wi-Fi connection ...
A Wi-Fi signal generator is utilized to simulate the Wi-Fi signal that travels in a simulated indoor environment as shown in Figure 6 (a). ...
doi:10.5220/0006382902010208
dblp:conf/icinco/QianNFM17
fatcat:e7i4nlojczgl3oi4eerbsombdq
Smartphone Sensor Based Indoor Positioning: Current Status, Opportunities, and Future Challenges
2020
Electronics
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The last two decades have witnessed a rich variety of indoor positioning and localization research. ...
However, the proliferation of smartphones over the past few years revolutionized and reshaped indoor localization towards new horizons. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results'. ...
doi:10.3390/electronics9060891
fatcat:kgjz4itz2narzcgvpzaxaddjc4
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