no code implementations • 20 Jan 2023 • Zoltan Galaz, Jiri Mekyska, Jan Mucha, Vojtech Zvoncak, Zdenek Smekal, Marcos Faundez-Zanuy, Lubos Brabenec, Ivona Moravkova, Irena Rektorova
To this date, studies focusing on the prodromal diagnosis of Lewy body diseases (LBDs) based on quantitative analysis of graphomotor and handwriting difficulties are missing.
no code implementations • 20 Jan 2023 • Jan Mucha, Zoltan Galaz, Jiri Mekyska, Marcos Faundez-Zanuy, Vojtech Zvoncak, Zdenek Smekal, Lubos Brabenec, Irena Rektorova
Therefore, in this study, we follow up on our previous research, and we aim to explore the utilization of various approaches of fractional order derivative (FD) in the analysis of PD dysgraphia.
no code implementations • 30 Mar 2022 • Marcos Faundez-Zanuy, Xavier Font Aragones, Jiri Mekyska
In this paper we summarize several applications based on thermal imaging.
no code implementations • 30 Mar 2022 • Virginia Espinosa-Duró, Marcos Faundez-Zanuy, Jiri Mekyska
When focusing an image, depth of field, aperture and distance from the camera to the object, must be taking into account, both, in visible and in infrared spectrum.
no code implementations • 29 Mar 2022 • Jiri Mekyska, Virginia Espinosa-Duró, Marcos Faundez-Zanuy
Face segmentation is a first step for face biometric systems.
no code implementations • 29 Mar 2022 • Anna Esposito, Vincenzo Capuano, Jiri Mekyska, Marcos Faundez-Zanuy
This work defines a procedure for collecting naturally induced emotional facial expressions through the vision of movie excerpts with high emotional contents and reports experimental data ascertaining the effects of emotions on memory word recognition tasks.
no code implementations • 21 Mar 2022 • Jiri Mekyska, Zdenek Smekal, Zoltan Galaz, Zdenek Mzourek, Irena Rektorova, Marcos Faundez-Zanuy, Karmele Lopez-de-Ipina
Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation.
no code implementations • 18 Mar 2022 • Jan Mucha, Zoltan Galaz, Jiri Mekyska, Tomas Kiska, Vojtech Zvoncak, Zdenek Smekal, Ilona Eliasova, Martina Mrackova, Milena Kostalova, Irena Rektorova, Marcos Faundez-Zanuy, Jesus B. Alonso-Hernandez
In this work, we analysed the power of conventional speech features quantifying imprecise articulation, dysprosody, speech dysfluency and speech quality deterioration extracted from a specialized poem recitation task to discriminate dysarthric and healthy speech.
no code implementations • 16 Mar 2022 • Radek Benes, Pavel Dvorak, Marcos Faundez-Zanuy, Virginia Espinosa-Duro, Jiri Mekyska
To the best of our knowledge, this is the first work devoted to multi-focus thermal image fusion.
no code implementations • 10 Mar 2022 • Marcos Faundez-Zanuy, Antonio Satue-Villar, Jiri Mekyska, Viridiana Arreola, Pilar Sanz, Carles Paul, Luis Guirao, Mateu Serra, Laia Rofes, Pere Clavé, Enric Sesa-Nogueras, Josep Roure
Parkinson's disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0. 1-1 %, and an annual incidence between 1. 3-2. 0/10000 inhabitants.
no code implementations • 8 Mar 2022 • Marcos Faundez-Zanuy, Enric Sesa-Nogueras, Josep Roure-Alcobé, Anna Esposito, Jiri Mekyska, Karmele López-de-Ipiña
This paper contributes to this research line analyzing a selected set of online handwriting parameters provided by a healthy group of population aged from 18 to 70 years.
no code implementations • 24 Feb 2022 • Marcos Faundez-Zanuy, Jiri Mekyska, Donato Impedovo
Background: An advantageous property of behavioural signals , e. g. handwriting, in contrast to morphological ones, such as iris, fingerprint, hand geometry, etc., is the possibility to ask a user for a very rich amount of different tasks.
no code implementations • 23 Feb 2022 • Carlos Alonso-Martinez, Marcos Faundez-Zanuy, Jiri Mekyska
Methods In this paper, we will analyze a large set of databases (BIOSECURID, EMOTHAW, PaHaW, Oxygen-Therapy and SALT), which contain a total amount of 663 users and 17951 files.
no code implementations • 23 Feb 2022 • Xavier Font-Aragones, Marcos Faundez-Zanuy, Jiri Mekyska
In this paper we present a method to identify people by means of thermal (TH) and visible (VIS) hand images acquired simultaneously with a TESTO 882-3 camera.
no code implementations • 13 Jul 2019 • Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez, Jiri Mekyska, Radim Burget, Zdenek Smekal
Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression tracking and even effective treatment of pathological voices.
no code implementations • 12 Jul 2019 • Pavol Harar, Jesus B. Alonso-Hernandez, Jiri Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smekal
This paper describes a preliminary investigation of Voice Pathology Detection using Deep Neural Networks (DNN).