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MFA-OSELM Algorithm for WiFi-Based Indoor Positioning System
2019
Information
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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
2022
Electronics
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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
2020
International Journal of Advanced Computer Research
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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
2021
Sensors
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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
2020
Sensors
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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]
2017
arXiv
pre-print
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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
2013
BioMedical Engineering OnLine
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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
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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
2022
Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
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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
2021
Mathematical Problems in Engineering
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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
2018
Remote Sensing
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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
2020
IEEE transactions on intelligent transportation systems (Print)
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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]
2021
arXiv
pre-print
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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
2022
Infrastructures
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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
2018
EURASIP Journal on Image and Video Processing
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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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