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Improved Competitive Neural Network for Classification of Human Postures Based on Data from RGB-D Sensors Cover

Improved Competitive Neural Network for Classification of Human Postures Based on Data from RGB-D Sensors

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 17 (2023): Issue 3 (September 2023)
By: Vibekananda Dutta,  Jakub Cydejko and  Teresa Zielińska  
Open Access
|Mar 2024

Authors

Vibekananda Dutta

vibekananda.dutta@pw.edu.pl

Institute of Micromechanics and Photonics, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland

Jakub Cydejko

jakub.cydejko2.stud@pw.edu.pl

Institute of Automatics and Robotics, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland

Teresa Zielińska

teresa.zielinska@pw.edu.pl

Institute of Aeronautics and Applied Mechanics, Faculty of Power and Aeronautical Engineering, Warsaw University of Technology, Warsaw, Poland
DOI: https://doi.org/10.14313/jamris/3-2023/19 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 15 - 28
Submitted on: Jan 5, 2023
Accepted on: Apr 18, 2023
Published on: Mar 4, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Human motion,
Posture classification,
Human activity,
Competitive neural network,
Classifier
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2024 Vibekananda Dutta, Jakub Cydejko, Teresa Zielińska, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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