Year 2023

• Bimodal Emotion Recognition Based on Vocal and Facial Features

  Publication

  • M. Woźniak
  • M. Sakowicz
  • K. Ledwosiński
  • J. Rzepkowski
  • P. Czapla
  • S. Zaporowski

  - Year 2023

  Emotion recognition is a crucial aspect of human communication, with applications in fields such as psychology, education, and healthcare. Identifying emotions accurately is challenging, as people use a variety of signals to express and perceive emotions. In this study, we address the problem of multimodal emotion recognition using both audio and video signals, to develop a robust and reliable system that can recognize emotions...

  Full text available to download

• Optimization of the System for Determining the Volume of Tissue Needed for Breast Reconstruction

  Publication

  • J. Czałpińska
  • A. Janicka
  • J. Rzepkowski
  • M. Kaczmarek
  • T. Kocejko
  • J. Kang-Hyun

  - Year 2023

  This article presents techniques for reconstructing surfaces and volume calculations using a point cloud generated from 3D imaging. The main objective of this article was to optimize the voxel size for the most accurate representation of the surface of the female breast. We experimented with different methods for determining volume using images from the Intel D435i camera. In addition, we designed application and measurement station...

  Full text to download in external service