363 citations · 1.1k across the 24 of their papers we have counts for
24 papers
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease
Peter Drotár, Jiří Mekyska, Irena Rektorová +3
Objective: We present the PaHaW Parkinson's disease handwriting database, consisting of handwriting samples from Parkinson's disease (PD) patients and healthy controls. Our goal is…
Assessment of Developmental Dysgraphia Utilising a Display Tablet
Jiri Mekyska, Zoltan Galaz, Katarina Safarova +9
Even though the computerised assessment of developmental dysgraphia (DD) based on online handwriting processing has increasing popularity, most of the solutions are based on a setu…
Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessment
Jiri Mekyska, Katarina Safarova, Tomas Urbanek +10
Graphomotor and handwriting disabilities (GD and HD, respectively) could significantly reduce children's quality of life. Effective remediation depends on proper diagnosis; however…
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties
Zoltan Galaz, Jiri Mekyska, Jan Mucha +6
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. In th…
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis
Jan Mucha, Zoltan Galaz, Jiri Mekyska +5
Parkinson's disease (PD) is a common neurodegenerative disorder with a prevalence rate estimated to 2.0% for people aged over 65 years. Cardinal motor symptoms of PD such as rigidi…
Preliminary experiments on thermal emissivity adjustment for face images
Marcos Faundez-Zanuy, Xavier Font Aragones, Jiri Mekyska
In this paper we summarize several applications based on thermal imaging. We emphasize the importance of emissivity adjustment for a proper temperature measurement. A new set of fa…
Contribution of the Temperature of the Objects to the Problem of Thermal Imaging Focusing
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. Our experiments…
A Naturalistic Database of Thermal Emotional Facial Expressions and Effects of Induced Emotions on Memory
Anna Esposito, Vincenzo Capuano, Jiri Mekyska +1
This work defines a procedure for collecting naturally induced emotional facial expressions through the vision of movie excerpts with high emotional contents and reports experiment…
Face segmentation: A comparison between visible and thermal images
Jiri Mekyska, Virginia Espinosa-Duró, Marcos Faundez-Zanuy
Face segmentation is a first step for face biometric systems. In this paper we present a face segmentation algorithm for thermographic images. This algorithm is compared with the c…
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability
Jiri Mekyska, Zdenek Smekal, Zoltan Galaz +4
Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation. Clinical signs of HD like monoloudnes…
Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease
Peter Drotár, Jiří Mekyska, Zdeněk Smékal +3
In this paper, we evaluate the contribution of different handwriting modalities to the diagnosis of Parkinson's disease. We analyse on-surface movement, in-air movement and pressur…
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation
Jan Mucha, Zoltan Galaz, Jiri Mekyska +9
Up to 90 % of patients with Parkinson's disease (PD) suffer from hypokinetic dysarthria (HD). In this work, we analysed the power of conventional speech features quantifying imprec…
Robust and Complex Approach of Pathological Speech Signal Analysis
Jiri Mekyska, Eva Janousova, Pedro Gomez-Vilda +8
This paper presents a study of the approaches in the state-of-the-art in the field of pathological speech signal analysis with a special focus on parametrization techniques. It pro…
Assessing Progress of Parkinson s Disease Using Acoustic Analysis of Phonation
Jiri Mekyska, Zoltan Galaz, Zdenek Mzourek +9
This paper deals with a complex acoustic analysis of phonation in patients with Parkinson's disease (PD) with a special focus on estimation of disease progress that is described by…
Multi-focus thermal image fusion
Radek Benes, Pavel Dvorak, Marcos Faundez-Zanuy +2
This paper proposes a novel algorithm for multi-focus thermal image fusion. The algorithm is based on local activity analysis and advanced pre-selection of images into fusion proce…
On the focusing of thermal images
Marcos Faundez-Zanuy, Jiří Mekyska, Virginia Espinosa-Duro
In this paper we present a new thermographic image database suitable for the analysis of automatic focus measures. This database consists of 8 different sets of scenes, where each…
A multimodal approach for Parkinson disease analysis
Marcos Faundez-Zanuy, Antonio Satue-Villar, Jiri Mekyska +9
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 1.3-2.0/10…
A Preliminary Study on Aging Examining Online Handwriting
Marcos Faundez-Zanuy, Enric Sesa-Nogueras, Josep Roure-Alcobé +3
In order to develop infocommunications devices so that the capabilities of the human brain may interact with the capabilities of any artificially cognitive system a deeper knowledg…
A new face database simultaneously acquired in visible, near infrared and thermal spectrum
Virginia Espinosa-Duró, Marcos Faundez-Zanuy, Jiří Mekyska
In this paper we present a new database acquired with three different sensors (visible, near infrared and thermal) under different illumination conditions. This database consists o…
Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health
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…
A comparative study of in-air trajectories at short and long distances in online handwriting
Carlos Alonso-Martinez, Marcos Faundez-Zanuy, Jiri Mekyska
Introduction Existing literature about online handwriting analysis to support pathology diagnosis has taken advantage of in-air trajectories. A similar situation occurred in biomet…
Thermal hand image segmentation for biometric recognition
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. In addition, we also…
Towards Robust Voice Pathology Detection
Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez +3
Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression track…
Voice Pathology Detection Using Deep Learning: a Preliminary Study
Pavol Harar, Jesus B. Alonso-Hernandez, Jiri Mekyska +3
This paper describes a preliminary investigation of Voice Pathology Detection using Deep Neural Networks (DNN). We used voice recordings of sustained vowel /a/ produced at normal p…