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MFA-OSELM Algorithm for WiFi-Based Indoor Positioning System

AL-Khaleefa, Ahmad, Isa, AL-Saffar, Esa, Malik
2019 Information  
This research extends the earlier study of the feature adaptive online sequential extreme learning machine (FA-OSELM).  ...  The most difficult aspect of techniques based on fingerprints is the effect of dynamic environmental changes on fingerprint authentication.  ...  Conflicts of Interest: The authors declare no conflict of interest regarding this paper.  ... 
doi:10.3390/info10040146 fatcat:6t73uyz7sfenxovbnsdwvmzqni

A Survey of Magnetic-Field-Based Indoor Localization

Guanglie Ouyang, Karim Abed-Meraim
2022 Electronics  
This survey provides a comprehensive review of magnetic-field-based indoor localization methods. We first introduce characteristics of the magnetic field, its advantages, and its challenges.  ...  The smartphone-based pedestrian dead reckoning approach is also reviewed.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics11060864 fatcat:fsamfelqhrejxc6w33swfbi3bm

Latest trends in emotion recognition methods: case study on emotiw challenge

Huma Naz, Sachin Ahuja
2020 International Journal of Advanced Computer Research  
Moreover, Emotion recognition models are used by more and more intelligent system to improve the multimodal interaction.  ...  This work depicts a broad methodical analysis of EmotiW challenge for sentiments analysis which can help researchers, IT professionals and academia to find worthy technique for emotion grouping in several  ...  Huma Naz and Sachin Ahuja  ... 
doi:10.19101/ijacr.2019.940117 fatcat:dkzmqvn4xrfslafxn2dbavjgni

Collaborative Indoor Positioning Systems: A Systematic Review

Pavel Pascacio, Sven Casteleyn, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi
2021 Sensors  
Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing steadily due to their potential to improve on the performance of their non-collaborative counterparts.  ...  In contrast to the outdoors scenario, where Global Navigation Satellite System is widely adopted, in (collaborative) indoor positioning systems a large variety of technologies, techniques, and methods  ...  In addition, the indoor positioning methods can be specific for a particular technology and technique (e.g., PDR for inertial measurements), or they can be universal algorithms (e.g., Machine Learning  ... 
doi:10.3390/s21031002 pmid:33540703 pmcid:PMC7867261 fatcat:ndtjoon3ojfj3hvae2j4jaj4n4

Human Fall Detection Based on Body Posture Spatio-Temporal Evolution

Jin Zhang, Cheng Wu, Yiming Wang
2020 Sensors  
Based on the study of the stability of human body dynamics, the article proposes a new model of human posture representation of fall behavior, called the "five-point inverted pendulum model", and uses  ...  Finally, based on the integrated results of computer vision and multimedia analytics, we reveal the visual characteristics of the spatio-temporal evolution of human posture under the potentially unstable  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20030946 pmid:32050727 pmcid:PMC7039221 fatcat:w4vc6gycbvh3jcs6w77wf2fysi

Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness [article]

Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield
2017 arXiv   pre-print
All vision systems run in real time on board the MAV via a Jetson TX1. We provide details on the hardware and software used, as well as implementation details.  ...  The system introduces a deep neural network (DNN) called TrailNet for estimating the view orientation and lateral offset of the MAV with respect to the trail center.  ...  Sadeghi and Levine [27] apply DRL to enable an MAV to learn to fly indoors after training only on synthetic images. Zhang et al.  ... 
arXiv:1705.02550v3 fatcat:x4wesvlvxnfdhocvwxp2psexw4

Challenges, issues and trends in fall detection systems

Raul Igual, Carlos Medrano, Inmaculada Plaza
2013 BioMedical Engineering OnLine  
The number of studies using context-aware techniques is still increasing but there is a new trend towards the integration of fall detection into smartphones as well as the use of machine learning methods  ...  Since falls are a major public health problem among older people, the number of systems aimed at detecting them has increased dramatically over recent years.  ...  Acknowledgments This work was supported by the "European Social Fund", the "Departamento de Ciencia, Tecnología y Universidad, Gobierno de Aragón" and the "Departamento de Industria e Innovación, Gobierno  ... 
doi:10.1186/1475-925x-12-66 pmid:23829390 pmcid:PMC3711927 fatcat:snzi7kk7mnfcfopwem5tbr57yi

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Oct. 2020 7530-7541 Hernandez, A., see Aparicio-Esteve, E., TIM Aug. 2020 5589-5603 Hernandez, H., de Souza Sanches, B.C., Carvalho, D., Bregant, M  ...  ., +, TIM May 2020 1860-1870 Improving Accuracy and Robustness in HF-RFID-Based Indoor Positioning With Kalman Filtering and Tukey Smoothing.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

Performance Comparison of Supervised Learning Using Non-Neural Network and Neural Network

Djarot Hindarto, Handri Santoso
2022 Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)  
Currently, the development of mobile phones and mobile applications based on the Android operating system is increasing rapidly.  ...  The use of the Support Vector Machine algorithm with the 600 APK dataset has 99.1% accuracy and the 14170 APK dataset has decreased accuracy to 90.5%.  ...  Abdul Karim, and N. H. Osman, "Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system," Alexandria Eng.  ... 
doi:10.23887/janapati.v11i1.40768 fatcat:uvkng3asabazlghj2rxyal7hy4

A Tutorial Review on Point Cloud Registrations: Principle, Classification, Comparison, and Technology Challenges

Leihui Li, Riwei Wang, Xuping Zhang, Paolo Spagnolo
2021 Mathematical Problems in Engineering  
The goal is to help readers quickly get into the problems of their interests related to point could registration and to provide them with insights and guidance in finding out appropriate strategies and  ...  In this revolution, the most challenging but imperative process is point could registration, i.e., obtaining a spatial transformation that aligns and matches two point clouds acquired in two different  ...  Learning-based methods provide a relatively more robust transformation between two arbitrarily point clouds by invariant features generated by machine-learning techniques. anks to machine learning, feature  ... 
doi:10.1155/2021/9953910 fatcat:wuzhdxjfybb4herg3s7xdv2zki

Low-Cost and Efficient Indoor 3D Reconstruction Through Annotated Hierarchical Structure-from-Motion

Youli Ding, Xianwei Zheng, Yan Zhou, Hanjiang Xiong, and Jianya Gong
2018 Remote Sensing  
Finally, an improved random sample consensus (RANSAC) generalized Procrustes analysis (RGPA) method was employed to register and optimize the partial models into a complete indoor scene.  ...  With the widespread application of location-based services, the appropriate representation of indoor spaces and efficient indoor 3D reconstruction have become essential tasks.  ...  Acknowledgments: This work is supported by the National Natural Science Foundation of China Project under Grant 41701445. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11010058 fatcat:tsjgkb6kxzccna4efc2jrl7fv4

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
The datasets repository is available at: https://sites.google.com/view/driveability-survey-dataset Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends M. Veres and M.  ...  As the development of both robust methods and novel metrics depends on having access to large-scale driving datasets, a comprehensive and comparative study of 54 publicly available datasets for autonomous  ...  Söffker Driver behavior prediction plays an important role in the development of advanced driver assistance systems (ADASs), and this contribution presents a prediction system based on different machine  ... 
doi:10.1109/tits.2020.3008809 fatcat:etol5qoilvdnbj6gtjxk3gheaa

A review of 3D human pose estimation algorithms for markerless motion capture [article]

Yann Desmarais, Denis Mottet, Pierre Slangen, Philippe Montesinos
2021 arXiv   pre-print
We propose a taxonomy based on accuracy, speed and robustness that we use to classify de methods and derive directions for future research.  ...  Here, we review the leading human pose estimation methods of the past five years, focusing on metrics, benchmarks and method structures.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
arXiv:2010.06449v3 fatcat:lo442jzoqvhlfedse7u7l6fjje

Scanning Technologies to Building Information Modelling: A Review

Rabia Rashdi, Joaquín Martínez-Sánchez, Pedro Arias, Zhouyan Qiu
2022 Infrastructures  
LiDAR systems based on different platforms, such as mobile, terrestrial, spaceborne and airborne, are outlined and compared.  ...  This is thanks to LiDAR technology, which has become one of the key elements in BIM, useful to capture a semantically rich geometric representation of 3D models in terms of 3D point clouds.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/infrastructures7040049 fatcat:v7rob3hxwrcdnm2xdum64tnsu4

A review of image-based automatic facial landmark identification techniques

Benjamin Johnston, Philip de Chazal
2018 EURASIP Journal on Image and Video Processing  
The accurate identification of landmarks within facial images is an important step in the completion of a number of higher-order computer vision tasks such as facial recognition and facial expression analysis  ...  While being an intuitive and simple task for human vision, it has taken decades of research, an increase in the availability of quality data sets, and a dramatic improvement in computational processing  ...  Acknowledgements The authors would like to thank the editors and anonymous reviewers for their valuable comments. The authors declare that they have no competing interests.  ... 
doi:10.1186/s13640-018-0324-4 fatcat:tkiiilofu5gdlpg67jfbhmz7ou
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