Search results for: TFUSION

• 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...

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