Recent Submissions

  • Analysis of various fractional order derivatives approaches in assessment of graphomotor difficulties 

    Mucha, Ján; Mekyska, Jiri; Galaz, Zoltan; Faundez-Zanuy, Marcos; Zvončák, Vojtěch; Zvončáková, Katarína; Urbanek, Tomas; Havigerova, Jana Marie; Bednarova, Jirina; Smekal, Zdenek (IEEE Access. 2020 Dec 4; 8:218234-218244, 2020-12-04)
    Graphomotor disabilities (GD) are present in up to 30% of school-aged children and are associated with several symptoms in the field of kinematics. Although the basic kinematic features such as velocity, ...
  • Advanced parametrization of graphomotor difficulties in school-aged children 

    Galaz, Zoltan; Mucha, Ján; Zvončák, Vojtěch; Mekyska, Jiri; Smekal, Zdenek; Zvončáková, Katarína; Ondráčková, Anežka; Urbanek, Tomas; Havigerova, Jana Marie; Bednarova, Jirina; Faundez-Zanuy, Marcos (IEEE Acces. 2020 Jun 17;8:112883-112897, 2020-06-17)
    School-aged children spend 31–60% of their time at school performing handwriting, which is a complex perceptual-motor skill composed of a coordinated combination of fine graphomotor movements. As up to ...
  • Handwriting biometrics: applications and future trends in e-security and e-health 

    Faundez-Zanuy, Marcos; Fierrez, Julian; Ferrer, Miguel A; Diaz, Moises; Tolosana, Ruben; Plamondon, Réjean (Cognitive Computation. 2020;12;940–953, 2020)
    Online handwritten analysis presents many applications in e-security, signature biometrics being the most popular but not the only one. Handwriting analysis also has an important set of applications in ...
  • On the analysis of speech and disfluencies for automatic detection of Mild Cognitive Impairment 

    López-de-Ipiña, Karmele; Martinez de lizarduy, Unai; Calvo, Paula M.; Beitia, Blanca; García Melero, J.; Fernández, E.; Ecay-Torres, Mirian; Faundez-Zanuy, Marcos; Sanz, P. (Neural Computing and Applications. 2020;32:15761–15769, 2018-05-08)
    Alzheimer’s disease is characterized by a progressive and irreversible cognitive deterioration. In a previous stage, the so-called Mild Cognitive Impairment or cognitive loss appears. Nevertheless, this ...
  • Comparison of CNN-learned vs. handcrafted features for detection of Parkinson's disease dysgraphia in a multilingual dataset 

    Galaz, Zoltan; Drotar, Peter; Mekyska, Jiri; Gazda, Matej; Mucha, Jan; Zvoncak, Vojtech; Smekal, Zdenek; Faundez-Zanuy, Marcos; Castrillon, Reinel; Orozco-Arroyave, Juan Rafael; Rapcsak, Steven; Kincses, Tamas; Brabenec, Lubos; Rektorova, Irena (Frontiers in Neuroinformatics. 2022;(16):877139, 2022)
    Parkinson’s disease dysgraphia (PDYS), one of the earliest signs of Parkinson’s disease (PD), has been researched as a promising biomarker of PD and as the target of a noninvasive and inexpensive ...
  • Reliability and validity of the Polar V800 sports watch for estimating vertical jump height 

    Garnacho-Castaño, Manu; Faundez-Zanuy, Marcos; Serra Paya, Noemi; Maté-Muñoz, José Luis; López Xarbau, Josep; VILA BLANCH, MOISÈS (Journal of Sports Science and Medicine. 2021;(20):149-157, 2021)
    This study aimed to assess the reliability and validity of the Polar V800 to measure vertical jump height. Twenty-two physically active healthy men (age: 22.89 ± 4.23 years; body mass: 70.74 ± 8.04 kg; ...
  • On handwriting pressure normalization for interoperability of different acquisition stylus 

    Faundez-Zanuy, Marcos; Brotons-Rufes, Olga; Paul Recarens, Carles; Plamondon, Réjean (IEEE Access. 2021 Jan 21;9:18443-18453, 2021-01-21)
    In this paper, we present a pressure characterization and normalization procedure for online handwritten acquisition. Normalization process has been tested in biometric recognition experiments (identification ...
  • 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 ...
  • 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 ...
  • Emotional state recognition performance improvement on a handwriting and drawing task 

    Nolazco Flores, Juan Arturo; Faundez-Zanuy, Marcos; Velázquez-Flores, O. A.; Cordasco, Gennaro; Esposito, Anna (IEEE Access. 2021 Feb 23;(9):28496-28504, 2021-02-21)
    In this work we combine time, spectral and cepstral features of the signal captured in a tablet to characterize depression, anxiety, and stress emotional state recognition on the EMOTHAW database. EMOTHAW ...
  • Analysis of fine motor skills in essential tremor: combining neuroimaging and handwriting biomarkers for early management 

    López-de-Ipiña, Karmele; Solé-Casals, Jordi; Sánchez-Méndez, José Ignacio; Romero-Garcia, Rafael; Fernandez, Elsa; Requejo, C.; Poologaindran, Anujan; Faundez-Zanuy, Marcos; Marti Masso, Jose Felix; Bergareche, Alberto; Suckling, John (Frontiers in Human Neuroscience. 2021 Jun 8;15:648573, 2021-06-08)
    Essential tremor (ET) is a highly prevalent neurological disorder characterized by actioninduced tremors involving the hand, voice, head, and/or face. Importantly, hand tremor is present in nearly all ...