Now showing items 1-2 of 2

    • Exploiting spectral and cepstral handwriting features on diagnosing Parkinson’s disease 

      Nolazco Flores, Juan Arturo; Faundez-Zanuy, Marcos; de la Cueva, Victor; Mekyska, Jiri (IEEE Access. 2021 Oct 22;(9):141599-141610, 2021-10-22)
      Parkinson’s disease (PD) is the second most frequent neurodegenerative disease associated with several motor symptoms, including alterations in handwriting, also known as PD dysgraphia. Several computerized ...
    • Mood state detection in handwritten tasks using PCA–mFCBF and automated machine learning 

      Nolazco Flores, Juan Arturo; Faundez-Zanuy, Marcos; Velázquez-Flores, O. A.; Del-Valle-Soto, Carolina; Cordasco, Gennaro; Esposito, Anna (Sensors. 2022 Feb 21;22(4):1686, 2022 Feb 2)
      In this research, we analyse data obtained from sensors when a user handwrites or draws on a tablet to detect whether the user is in a specific mood state. First, we calculated the features based on the ...