Rok 2023

• A survey of automatic speech recognition deep models performance for Polish medical terms

  Publikacja

  • M. Zielonka
  • W. Krasiński
  • J. Nowak
  • P. Rośleń
  • J. Stopiński
  • M. Żak
  • F. Górski
  • A. Czyżewski

  - Rok 2023

  Among the numerous applications of speech-to-text technology is the support of documentation created by medical personnel. There are many available speech recognition systems for doctors. Their effectiveness in languages such as Polish should be verified. In connection with our project in this field, we decided to check how well the popular speech recognition systems work, employing models trained for the general Polish language....

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• Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms

  Publikacja

  • P. A. Leszczełowska (dawniej: P. Leszczełowska)
  • M. A. Bollin (dawniej: M. Bollin)
  • K. Lempkowski
  • M. Żak
  • J. Rumiński

  - Rok 2023

  To this day, driver fatigue remains one of the most significant causes of road accidents. In this paper, a novel way of detecting and monitoring a driver’s physical state has been proposed. The goal of the system was to make use of multimodal imaging from RGB and thermal cameras working simultaneously to monitor the driver’s current condition. A custom dataset was created consisting of thermal and RGB video samples. Acquired data...

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