Search Results for author: Enric Sesa-Nogueras

Found 7 papers, 0 papers with code

Gender classification by means of online uppercase handwriting: A text-dependent allographic approach

no code implementations18 Mar 2022 Enric Sesa-Nogueras, Marcos Faundez-Zanuy, Josep Roure-Alcobé

Although in this case results are not conclusive, an outstanding average of 74% of well classified writers is obtained when information from pen-up strokes is combined with information from pen-down ones.

Classification Gender Classification

Preliminary experiments on automatic gender recognition based on online capital letters

no code implementations11 Mar 2022 Marcos Faundez-Zanuy, Enric Sesa-Nogueras

In this paper we present some experiments to automatically classify online handwritten text based on capital letters.

Gender Classification

A multimodal approach for Parkinson disease analysis

no code implementations10 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.

A Preliminary Study on Aging Examining Online Handwriting

no code implementations8 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.

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