Wyniki wyszukiwania - BazTech

Ograniczanie wyników

1 2023

Znaleziono wyników: 1

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: competitive neural network

Sortuj według:

Ogranicz wyniki do:

Improved competitive neural network for classification of human postures based on data from RGB-D sensors postures based on data from RGB-D sensors

Dutta Vibekananda, Cydejko Jakub, Zielińska Teresa

Journal of Automation Mobile Robotics and Intelligent Systems

2023

Vol. 17, No. 3

15--29

The cognitive goal of this paper is to assess whether marker-less motion capture systems provide sufficient data to recognize human postures in the side view. The research goal is to develop a new posture classification method that allows for analysing human activities using data recorded by RGB‐D sensors. The method is insensitive to recorded activity duration and gives satisfactory results for the sagittal plane. An improved competitive Neural Network (cNN) was used. The method of pre- processing the data is first discussed. Then, a method for classifying human postures is presented. Finally, classification quality using various distance metrics is assessed. The data sets covering the selection of human activities have been created. Postures typical for these activities have been identified using the classifying neural network. The classification quality obtained using the proposed cNN network and two other popular neural networks were compared. The results confirmed the advantage of cNN network. The developed method makes it possible to recognize human postures by observing movement in the sagittal plane.