Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Miguel Viana-Matesanz"'
Publikováno v:
Mathematics, Vol 12, Iss 2, p 202 (2024)
Electrodermal Activity (EDA) has shown great potential for emotion recognition and the early detection of physiological anomalies associated with stress. However, its non-stationary nature limits the capability of current analytical and detection tec
Externí odkaz:
https://doaj.org/article/5e95804e2d15482d83943f9f596def71
Autor:
Miguel Viana Matesanz, Juan José Vinagre Díaz, Mark Richard Wilby, Rubén Fernández Pozo, Ana Belén Rodríguez González
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:8327-8336
Effective on-street parking is key to reduce urban traffic and pollution in densely populated cities. Thus, researchers have focused on forecasting future occupancy values depending on factors like time, space, or weather. This approach shows high av
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc1f5cf1c5a4847a48ec762ad0430b3d
https://doi.org/10.1109/tits.2021.3077985
https://doi.org/10.1109/tits.2021.3077985
Publikováno v:
ICCST
Proceedings of 2017 International Carnahan Conference on Security Technology (ICCST) | 2017 International Carnahan Conference on Security Technology (ICCST) | 23-26 October 2017 | Madrid, Spain
Proceedings of 2017 International Carnahan Conference on Security Technology (ICCST) | 2017 International Carnahan Conference on Security Technology (ICCST) | 23-26 October 2017 | Madrid, Spain
Interest on palmprint biometrics has experimented a strong growth in the last decades due to its useful charac- teristics as uniqueness, permanence, reliability, user-friendliness, acceptability, non-intrusiveness, and low cost of the acquisition dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46ac03fa5c9b23967c23d10195c1c253
https://doi.org/10.1109/ccst.2017.8167806
https://doi.org/10.1109/ccst.2017.8167806
Publikováno v:
2017 International Carnahan Conference On Security Technology (ICCST), ISSN 1071-6572, 2017
ICCST
ICCST
In this work, the Curvelet transform is proposed as a fairly new feature extraction method for palmprint recognition. Particularly, a multiscale analysis has been performed at four levels, assessing and combining the features extracted at each level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc72409d140f5ffe55f64a3461ccb8bc
https://oa.upm.es/50836/
https://oa.upm.es/50836/
Autor:
Gonzalo Bailador, Maria Jose Melcon De Giles, Carmen Sanchez-Avila, Miguel Viana-Matesanz, Belen Rios-Sanchez, Javier Guerra-Casanova
Publikováno v:
SRDS Workshop
Comfort and security perception are two key factorsto provide an adequate biometric solution. This article presentsthe results of an online survey about these characteristics in fourdifferent biometric modes implemented in mobile phones withwidesprea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60cc0faabb0f1ad44de762e760206762
https://doi.org/10.1109/srdsw.2016.13
https://doi.org/10.1109/srdsw.2016.13
Publikováno v:
SRDS Workshop
This work presents a configurable multibiometricsystem oriented to mobile devices which combines face, handand in-air signature biometrics to provide three different levelsof security. The number of traits involved in the authenticationincreases with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69a4c1c62164a1cd51c1b9843acf3488
https://doi.org/10.1109/srdsw.2016.14
https://doi.org/10.1109/srdsw.2016.14