Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Enric Sesa"'
Autor:
Karmele Lopez-de-Ipina, Jordi Solé-Casals, Marcos Faúndez-Zanuy, Pilar M. Calvo, Enric Sesa, Josep Roure, Unai Martinez-de-Lizarduy, Blanca Beitia, Elsa Fernández, Jon Iradi, Joseba Garcia-Melero, Alberto Bergareche
Publikováno v:
Entropy, Vol 20, Iss 7, p 531 (2018)
Among neural disorders related to movement, essential tremor has the highest prevalence; in fact, it is twenty times more common than Parkinson’s disease. The drawing of the Archimedes’ spiral is the gold standard test to distinguish between both
Externí odkaz:
https://doaj.org/article/a081f8b7abf841b3bcda4f7e2c73dfae
Autor:
Karmele López-de-Ipiña, Jordi Solé-Casals, Marcos Faundez-Zanuy, Pilar M. Calvo, Enric Sesa, Unai Martinez de Lizarduy, Patricia De La Riva, Jose F. Marti-Masso, Blanca Beitia, Alberto Bergareche
Publikováno v:
Entropy, Vol 18, Iss 5, p 184 (2016)
Biomedical systems produce biosignals that arise from interaction mechanisms. In a general form, those mechanisms occur across multiple scales, both spatial and temporal, and contain linear and non-linear information. In this framework, entropy measu
Externí odkaz:
https://doaj.org/article/95773214fcd34106b4d70e22f9390170
Publikováno v:
Cognitive Computation. 13:1374-1388
Background: The performance of biometric modalities based on things done by the subject, like signature and text-based recognition, may be affected by the subject state. Fatigue is one of the conditions that can significantly affect the outcome of ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b27ed2c3453b8eb27b82c538e8e5ad20
https://doi.org/10.1007/s12559-021-09943-5
https://doi.org/10.1007/s12559-021-09943-5
This paper presents a gender classification schema based on online handwriting. Using samples acquired with a digital tablet that captures the dynamics of the writing, it classifies the writer as a male or a female. The method proposed is allographic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccec747acef11f3078fc50784f60b340
http://arxiv.org/abs/2203.09848
http://arxiv.org/abs/2203.09848
Publikováno v:
TSP
In this paper we present a software tool for displaying and analyzing handwriting signals recorded by digitizing devices that capture both in-air and on-surface trajectories. This tool has two salient features: it can visualize the invisible trajecto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8f27ece8915fd01f1118c8f9bb95359
https://doi.org/10.1109/tsp.2019.8768880
https://doi.org/10.1109/tsp.2019.8768880
Autor:
Enric Sesa-Nogueras, Alberto Bergareche, Karmele López-de-Ipiña, Marcos Faundez-Zanuy, Pilar M. Calvo, Josep Roure, P. de la Riva
Publikováno v:
Journal of Applied Logic. 16:50-59
Essential tremor (ET) in the western world is the most common movement disorder, and 50-70% of essential tremor cases are estimated to be genetic in origin 14. This work on selection of nonlinear biomarkers derived from drawings and handwriting is pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ac655e485d73855dd207b8118a3deb0
https://doi.org/10.1016/j.jal.2015.02.003
https://doi.org/10.1016/j.jal.2015.02.003
Autor:
Enric Sesa, Karmele López-de-Ipiña, U. Martinez-de-Lizarduy, Joseba Garcia-Melero, Pilar M. Calvo, Alberto Bergareche, Blanca Beitia, Josep Roure, Jordi Solé-Casals, Elsa Fernández, Jon Iradi, Marcos Faundez-Zanuy
Publikováno v:
Addi. Archivo Digital para la Docencia y la Investigación
instname
Entropy
Volume 20
Issue 7
Entropy, Vol 20, Iss 7, p 531 (2018)
instname
Entropy
Volume 20
Issue 7
Entropy, Vol 20, Iss 7, p 531 (2018)
Among neural disorders related to movement, essential tremor has the highest prevalence
in fact, it is twenty times more common than Parkinson&rsquo
s disease. The drawing of the Archimedes&rsquo
spiral is the gold standard test to dis
in fact, it is twenty times more common than Parkinson&rsquo
s disease. The drawing of the Archimedes&rsquo
spiral is the gold standard test to dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba12934773ae32157878a67b29dd05e0
http://hdl.handle.net/10810/30698
http://hdl.handle.net/10810/30698
Publikováno v:
Engineering Applications of Artificial Intelligence. 26:609-624
This paper presents a new method to generate synthetic executions of on-line words from real samples. The proposed generation method takes advantage of the characteristics of a writer recognition system developed by the authors and can be seamlessly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcd2dda664b170d1b9b44f086092248f
https://doi.org/10.1016/j.engappai.2012.03.010
https://doi.org/10.1016/j.engappai.2012.03.010
Publikováno v:
Pattern Recognition. 45:128-144
This paper presents a handwritten text biometric recognition system suitable to be applied to short sequences of text (words). Strokes are considered the structural units of handwriting with words being regarded as two separate sequences: one of pen-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99ff301fb4995a46d1d76d43a05f65c9
https://doi.org/10.1016/j.patcog.2011.06.002
https://doi.org/10.1016/j.patcog.2011.06.002
Publikováno v:
Cognitive Computation. 4:195-205
This paper is aimed at analysing, from an information theory perspective, the gestures produced by human beings when handwriting a text. Modern capturing devices allow the gathering of data not only from the on-surface movements of the hand, but also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01c19c54a821d2bf9409a6e1aab5849a
https://doi.org/10.1007/s12559-011-9119-y
https://doi.org/10.1007/s12559-011-9119-y