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A Cooperative Machine Learning Approach for Pedestrian Navigation in Indoor IoT

Marzieh Jalal Abadi, Luca Luceri, Mahbub Hassan, Chun Tung Chou, Monica Nicoli
2019 Sensors  
To the best of our knowledge, this is the first approach that combines machine learning with consensus algorithms for cooperative PDR.  ...  To improve the location accuracy, this paper proposes a novel cooperative system to estimate the direction of motion based on a machine learning approach for perturbation detection and filtering, combined  ...  their research assistance and preparing the application for data collection.  ... 
doi:10.3390/s19214609 fatcat:abiechapgbhqxgzur6pgp3drfi

Wayfinding Techniques at Common First Year King Saud University - An Indoor Localization Approach for Navigation

Dr. Wael Mohammad Alenazy
2021 Turkish Journal of Computer and Mathematics Education  
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 current area of research interests includes Smart Learning, Enhanced Smart Education, Image Processing and Augmented Reality.  ... 
doi:10.17762/turcomat.v12i3.1686 fatcat:hnouwig3lzaazco6zkwud5llcq

Sensors and Sensing Technologies for Indoor Positioning and Indoor Navigation

Francesco Potortì, Filippo Palumbo, Antonino Crivello
2020 Sensors  
The last 10 years have seen enormous technical progress in the field of indoor positioning and indoor navigation; yet, in contrast with outdoor well-established GNSS solutions, no technology exists that  ...  This special issue is focused on the recent developments within the sensors and sensing technologies for indoor positioning and indoor navigation networks domain.  ...  Furthermore, we are thankful to the Sensors editorial team for their continuous cooperation throughout the special issue.  ... 
doi:10.3390/s20205924 pmid:33092181 pmcid:PMC7589669 fatcat:s3kgzxfvdzbojolptgamik5npa

IPIN 2018 Ninth International Conference on Indoor Positioning and Indoor Navigation

2018 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
This allows an evaluation of machine learning algorithms for monocular optical positioning in a realistic indoor position application for the first time.  ...  This approach interests many researches due to its connection with machine learning concepts.  ...  Our competitors face real indoor positioning and navigation challenges in a shopping mall.  ... 
doi:10.1109/ipin.2018.8533737 fatcat:rv5zjhjytjaijcqgvvvpmbfjfa

Indoor navigation: state of the art and future trends

Naser El-Sheimy, You Li
2021 Satellite Navigation  
It covers the requirements, the main players, sensors, and techniques for indoor PLAN.  ...  Other than the navigation sensors such as Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS), the environmental-perception sensors such as High-Definition map (HD map), Light  ...  The former is widely used in land-vehicle, airborne, and shipborne PLAN applications, while the latter is a common method for pedestrian navigation.  ... 
doi:10.1186/s43020-021-00041-3 doaj:00650f9a753c4650ae3a8a3d62d8615b fatcat:5hvo4g4isfhmxjfxnss67fgw3u

Ubiquitous Indoor Positioning and Tracking for Industrial Internet-of-Things: A Channel Response Perspective [article]

Chenglong Li, Emmeric Tanghe, Sofie Pollin, Wout Joseph
2022 arXiv   pre-print
Then we propose a taxonomy for these complementary approaches concerning the involved techniques.  ...  In this article, we focus on channel response-based positioning and tracking for industrial IoT applications.  ...  In this case, machine learning acts as a superresolution channel parameters estimation algorithm.  ... 
arXiv:2209.12158v1 fatcat:cqpsmx3tmneq5lw7ie554zc7cm

Papers by Title

2019 2019 25th Asia-Pacific Conference on Communications (APCC)  
Failure in Navigation Control of UAV by Smart Meter Wireless Devices Run-Length Limited Decoding for Visible Light Communications: A Deep Learning Approach S A B C D E F G H I K L M N O P Q R S T U W  ...  Machine Learning-based RSSI Prediction in Factory Environments Measurement-Based Performance Investigation on Mobile Video Streaming in LTE-A Cell Edge Areas O A B C D E F G H I K L M N O P Q R S  ... 
doi:10.1109/apcc47188.2019.9026535 fatcat:2ghncu75m5grzgvujg7cnfmt2a

2021 Index IEEE Sensors Letters Vol. 5

2021 IEEE Sensors Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, LSENS March 2021 3500104 Inertial navigation Learning-Based Floor-Type Identification in the ZUPT-Aided Pedestrian Inertial Navigation.  ... 
doi:10.1109/lsens.2021.3137726 fatcat:nrqslmk43bhxlpb7bcy6vzfcfe

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe, T.R.,  ...  ., +, JIoT July 2020 6348-6359 Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks.  ...  ., +, JIoT Feb. 2020 1164-1177 Noncoherent Energy-Modulated Massive SIMO in Multipath Channels: A Machine Learning Approach.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

Survey of Real-time Processing Technologies of IoT Data Streams

Keiichi Yasumoto, Hirozumi Yamaguchi, Hiroshi Shigeno
2016 Journal of Information Processing  
Then we propose a new framework for IoT data streams called the Information Flow of Things (IFoT) that processes, analyzes, and curates massive IoT streams in real-time based on distributed processing  ...  Worldwide by 2022, over 50 billion IoT devices including sensors and actuators are predicted to be installed in machines, humans, vehicles, buildings, and environments.  ...  Machine learning and statistics are considered part of IoT data streaming frameworks.  ... 
doi:10.2197/ipsjjip.24.195 fatcat:g6i6zwzaqfbwraui7bochm6ksi

IEEE Access Special Section Editorial: Data Mining for Internet of Things

Chun-Wei Tsai, Mu-Yen Chen, Francesco Piccialli, Tie Qiu, Jason J. Jung, Patrick C. K. Hung, Sherali Zeadally
2021 IEEE Access  
chains for collaborative tasks in the IoT,'' by Li et al.; ''Formal verification of a hybrid VOLUME 9, 2021 machine learning-based fault prediction model in Internet of Things applications,'' by Souri  ...  In the article ''A hybrid biological data analysis approach for students' learning creative characteristics recognition,'' by Chen et al., a hybrid biological data analysis tool for teachers to understand  ... 
doi:10.1109/access.2021.3090137 fatcat:cnleukmukfgexmkwx7tino2k5y

2021 Index IEEE Internet of Things Journal Vol. 8

2021 IEEE Internet of Things Journal  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., JIoT Feb. 15, 2021 2842-2856 DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment.  ... 
doi:10.1109/jiot.2022.3141840 fatcat:42a2qzt4jnbwxihxp6rzosha3y

2021 Index IEEE Transactions on Mobile Computing Vol. 20

2022 IEEE Transactions on Mobile Computing  
Pedestrian Indoor Navigation in ables.  ...  An Adaptive Sensor Fusion Framework for Pedestrian Indoor Navigation in vices.  ... 
doi:10.1109/tmc.2021.3133125 fatcat:xbdfaozpkjbbjm3gfbmxcmzj6i

A Review on IoT Deep Learning UAV Systems for Autonomous Obstacle Detection and Collision Avoidance

Paula Fraga-Lamas, Lucía Ramos, Víctor Mondéjar-Guerra, Tiago M. Fernández-Caramés
2019 Remote Sensing  
In this regard, Deep Learning (DL) techniques have arisen as a promising alternative for improving real-time obstacle detection and collision avoidance for highly autonomous UAVs.  ...  Advances in Unmanned Aerial Vehicles (UAVs), also known as drones, offer unprecedented opportunities to boost a wide array of large-scale Internet of Things (IoT) applications.  ...  Classic Machine Learning (ML) approaches require designing feature extraction methods in order to generate a descriptor (i.e., a feature vector that emphasizes the pattern to detect and that is usually  ... 
doi:10.3390/rs11182144 fatcat:54xs26xnvzf7rfa5b64tuzkz44

Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

Francesco Potorti, Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Antonio Ramón Jiménez, Fernando Seco, Antoni Pérez-Navarro, Miguel Ortiz, Ni Zhu, Et Al.
2021 Zenodo  
The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes.  ...  Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework  ...  His research interests include indoor positioning, human activity recognition, and machine intelligence.  ... 
doi:10.5281/zenodo.4948278 fatcat:wtzdgdf2gfhj3kkvgtzryh5fj4
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