Filters








214 Hits in 8.6 sec

A Survey on Fusion-based Indoor Positioning

Xiansheng Guo, Nirwan Ansari, Fangzi Hu, Yuan Shao, Raphael Nkrow, Lin Li
2019 IEEE Communications Surveys and Tutorials  
Index Terms-Indoor positioning based services (IPS), fusion-based positioning, complex electromagnetic environments (CEEs), ensemble learning.  ...  This survey is invaluable for researchers to acquire a clear concept of indoor fusion-based positioning systems and techniques and also to gain insights from this survey to further develop other advanced  ...  Regardless of classification and regression, the machine learning based indoor positioning methods try to train the machine learning algorithm as a predictor to yield the location or label prediction,  ... 
doi:10.1109/comst.2019.2951036 fatcat:7hwlckqvenexvnumbdba22et4m

A Survey of Recent Indoor Localization Scenarios and Methodologies

Tian Yang, Adnane Cabani, Houcine Chafouk
2021 Sensors  
The key localization techniques like RSSI-based fingerprinting technique are presented using supervised machine learning methods, namely SVM (support vector machine), KNN (K nearest neighbors) and NN (  ...  The trilateration is known as a classic theoretical model of geometric-based indoor localization, with uniform RSSI data that can be transferred directly into distance ranges.  ...  The program is cofinanced by the Normandy Region and the European Union. Europe is committed in Normandy with the European Regional Development Fund (ERDF).  ... 
doi:10.3390/s21238086 pmid:34884090 fatcat:juacgglap5f5jaezn3w2lrur3u

Hybrid Positioning for Smart Spaces: Proposal and Evaluation

Pedro J. Fernández, José Santa, Antonio F. Skarmeta
2020 Applied Sciences  
Thus, GPS and WiFi are complemented with access control services (i.e., ID card) or Bluetooth Low Energy beaconing, to determine the user location within a smart space.  ...  indoor positioning and complement GPS for outdoors.  ...  Acknowledgments: The authors would like to thank University of Murcia for letting us use the Faculty of Computer Science building and its facilities during the execution of experiments.  ... 
doi:10.3390/app10124083 fatcat:wdgmst665bfopawrj5jwilsuaq

An Analysis of Impact Factors for Positioning Performance in WLAN Fingerprinting Systems Using Ishikawa Diagrams and a Simulation Platform

Keqiang Liu, Yunjia Wang, Lixin Lin, Guoliang Chen
2017 Mobile Information Systems  
Moreover, impact analysis on nonalgorithm factors is significant to system application and quality control but little research has been conducted.  ...  The results indicate that the high APs density, signal propagating attenuation factor, and RPs density, with the low signal propagating noise level, are favorable to better performance, while APs distribution  ...  Acknowledgments The research work presented in this paper is partly supported by China National Key Research and Development Program  ... 
doi:10.1155/2017/8294248 fatcat:hrxf6puxnzdn3bxibtbej72k2y

A Survey of Indoor Localization Systems and Technologies [article]

Faheem Zafari, Athanasios Gkelias, Kin Leung
2019 arXiv   pre-print
Indoor localization has recently witnessed an increase in interest, due to the potential wide range of services it can provide by leveraging Internet of Things (IoT), and ubiquitous connectivity.  ...  (RSS); based on technologies such as WiFi, Radio Frequency Identification Device (RFID), Ultra Wideband (UWB), Bluetooth and systems that have been proposed in the literature.  ...  The extracted features are then combined with regression analysis and machine learning to classify whether an obtained signal is LoS or NLoS.  ... 
arXiv:1709.01015v3 fatcat:lcdsrdgg4bcxxf6rwujq33exue

Low level controller for a POMDP based on WiFi observations

M.A. Sotelo, M. Ocaña, L.M. Bergasa, R. Flores, M. Marrón, M.A. García
2007 Robotics and Autonomous Systems  
Due to the noise channel of WiFi measures, it becomes necessary to make observations at a well known location within the environment.  ...  This paper shows the results of a low level controller that has been applied to an autonomous robotic system using a WiFi-based Partially Observable Markov Decision Process (POMDP).  ...  in indoor environments using a POMDP based on WiFi and ultrasound observations.  ... 
doi:10.1016/j.robot.2006.07.004 fatcat:cm2t2xlob5exfiy5vpvxtd2kcq

Managing big data experiments on smartphones

Georgios Larkou, Marios Mintzis, Panayiotis G. Andreou, Andreas Konstantinidis, Demetrios Zeinalipour-Yazti
2014 Distributed and parallel databases  
We present the applicability of our architecture through a case study that involves the evaluation of individual components that are part of a complex Indoor Positioning System for smartphones, coined  ...  The explosive number of smartphones with ever growing sensing and computing capabilities have brought a paradigm shift to many traditional domains of the computing field.  ...  Acknowledgments: We would like to thank the anonymous reviewers for their valuable comments and suggestions.  ... 
doi:10.1007/s10619-014-7158-6 fatcat:wknxmqmli5bbzbgkdwgilqykne

Mobile Devices as an Infrastructure: A Survey of Opportunistic Sensing Technology

Takamasa Higuchi, Hirozumi Yamaguchi, Teruo Higashino
2015 Journal of Information Processing  
Such a new paradigm of scalable context monitoring is known as opportunistic sensing, and has been successfully applied to a broad range of applications.  ...  In this paper, we briefly introduce basic architecture and building blocks on which these emerging systems are based, and then provide a survey of recent progress in the opportunistic sensing technology  ...  WiFi-based localization [26] , [27] , [28] has been well investigated to complement GPS and widely used for indoor positioning of mobile/wearable devices.  ... 
doi:10.2197/ipsjjip.23.94 fatcat:rnkekppyjvckvbe7cq5als4suu

Sensing Technology for Human Activity Recognition: a Comprehensive Survey

Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper.
2020 IEEE Access  
We identify the limitations with respect to the hardware and software characteristics of each sensor category and draw comparisons based on benchmark features retrieved from the research works introduced  ...  In order to solve many human-centered problems, such as health care, and individual assistance, the need to infer various simple to complex human activities is prominent.  ...  [27] , [46] mounted 4 HC-SR04 sensors to cover a square of 70 cm x 70 cm with a LV-MaxSonar-EZ0 in the middle to reduce the dead zone.  ... 
doi:10.1109/access.2020.2991891 fatcat:ukkpc2gdkvd2dird52ttebe6sy

Deep Learning-based Vibration Signal Personnel Positioning System

Yang Yu, Marian Waltereit, Viktor Matkovic, Weiyan Hou, Torben Weis
2020 IEEE Access  
Concerning our machine learning approach, each zone is represented by a class. Thus, we designed a classifier that can determine the zone based on four channels of vibration signals.  ...  The radiofrequency or WiFi fingerprint-based positioning methods [25] , [26] calculate the location with the signal from the transmitter carried by the pedestrian.  ...  His research interests include AI-based context recognition, AI-based context reasoning, machine learning and explainable AI.  ... 
doi:10.1109/access.2020.3044497 fatcat:yn7budmnh5aknjeiok5z4clf7u

Indoor Position Detection Using Smartwatch and Beacons

Sittichai Sukreep, Chakarida Nukoolkit, Pornchai Mongkolnam
2020 Sensors and materials  
Finally, the system allows users to manage indoor positioning by combining the marked spots as zoning areas.  ...  Various useful screens with easy-to-understand visualizations are provided for monitoring subject behaviors and time spent in certain areas, giving a summary of indoor positioning.  ...  The authors would like to thank all the members of the Data Science and Engineering Laboratory (D-Lab) of School of Information Technology at KMUTT for their support. We also wish to thank Mr.  ... 
doi:10.18494/sam.2020.2386 fatcat:oevrjrrhc5fhrhlbewldab3sj4

A Survey of Machine Learning in Pedestrian Localization Systems: Applications, Open Issues and Challenges

Victor F. Mirama, Luis Enrique Diez, Alfonso Bahillo, Victor Quintero
2021 IEEE Access  
With the popularization of machine learning (ML) techniques and the increased chipset's performance, the application of ML to pedestrian localization systems has received significant attention in the last  ...  It concludes by indicating the underlying open issues and challenges associated with the existing systems, and possible future directions in which ML techniques could improve the performance of pedestrian  ...  TABLE 6 . 6 Machine learning applications in PDR. TABLE 7 . 7 Advantages and disadvantages of the type of learning used in pedestrian dead reckoning.  ... 
doi:10.1109/access.2021.3108073 fatcat:uw2jvwrka5ezncwhmybonke53i

A collaborative approach to heading estimation for smartphone-based PDR indoor localisation

Marzieh Jalal Abadi, Luca Luceri, Mahbub Hassan, Chun Tung Chou, Monica Nicoli
2014 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
Pedestrian dead reckoning (PDR) is widely used for indoor localisation. Its principle is to recursively update the location of the pedestrian by using step length and step heading.  ...  The first component uses a machine learning algorithm to detect whether a heading estimate is within a specific error margin.  ...  In [33] a Wi-Fi based indoor positioning system is integrated with a humancentric collaborative feedback model that adjusts the positioning results.  ... 
doi:10.1109/ipin.2014.7275528 dblp:conf/ipin/AbadiLHCN14 fatcat:ex5wl6c3pzhp7mpklrl65zd5fe

A Survey of Machine Learning for Indoor Positioning

Ahasanun Nessa, Bhagawat Adhikari, Fatima Hussain, Xavier Fernando
2020 IEEE Access  
To improve the positioning accuracy authors in [126] proposed a fusion location framework where an Extreme Learning Machine (ELM) regression algorithm is used to predict the position based on motion  ...  [21] proposed a machine-learning based indoor position model to reduce the workload of fingerprinting by applying Deep Belief Network (DBN) on the unlabeled RSSI measurements.  ... 
doi:10.1109/access.2020.3039271 fatcat:htzgf2mwp5gmjbx3cczg5rl7ru

Exploring the limits of PDR-based indoor localisation systems under realistic conditions

Robert Jackermeier, Bernd Ludwig
2018 Journal of Location Based Services  
Pedestrian Dead Reckoning (PDR) plays an important role in many (hybrid) indoor positioning systems since it enables frequent, granular position updates.  ...  We conduct offline simulations with the collected data in order to identify situations where position tracking fails and explore different options how to mitigate the issues, e.g. through detection of  ...  While there is no doubt that the automatic generation of models for indoor environments will see much progress in the future -in particular due to the application of modern machine learning techniques  ... 
doi:10.1080/17489725.2018.1541330 fatcat:sasc4jlsvzdnhayx7t43xcke74
« Previous Showing results 1 — 15 out of 214 results