Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Aurora Polo"'
Autor:
Antonio Pousibet-Garrido, Aurora Polo-Rodríguez, Juan Antonio Moreno-Pérez, Isidoro Ruiz-García, Pablo Escobedo, Nuria López-Ruiz, Noel Marcen-Cinca, Javier Medina-Quero, Miguel Ángel Carvajal
Publikováno v:
Sensors, Vol 24, Iss 19, p 6422 (2024)
The aim of this current work is to identify three different gears of cross-country skiing utilizing embedded inertial measurement units and a suitable deep learning model. The cross-country style studied was the skating style during the uphill, which
Externí odkaz:
https://doaj.org/article/7f169f4424e84d1bad70fbfb97b7d6f9
Challenges of ubiquitous and wearable solutions to address active ageing in the Andalusian community
Autor:
Aurora Polo-Rodríguez, Pietro Dionisio, Francesco Agnoloni, Ana Perandrés Gómez, Cristiano Paggetti, Lucía González López, Alfonso Cruz Lendínez, Macarena Espinilla-Estévez, Javier Medina-Quero
Publikováno v:
Journal of Universal Computer Science, Vol 28, Iss 11, Pp 1221-1249 (2022)
Active ageing is a multidimensional process for achieving the potential quality of life and meaning in the life cycle. In the context of the Andalusian region in Spain, where the majority of the population is over 60 years old and lives in rural area
Externí odkaz:
https://doaj.org/article/e6cfe3726e03410894bbc6ffd5cc31fd
Publikováno v:
IEEE Access, Vol 8, Pp 228804-228817 (2020)
Activity Recognition is an active research topic focused on detecting human actions and behaviours in smart environments. In most cases, the use of data-driven models aim to relate data from sensors to an activity through a model developed by a super
Externí odkaz:
https://doaj.org/article/474dc7b68522462d802c86a8ef42c0a7
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6978 (2021)
The use of multimodal sensors to describe activities of daily living in a noninvasive way is a promising research field in continuous development. In this work, we propose the use of ambient audio sensors to recognise events which are generated from
Externí odkaz:
https://doaj.org/article/e659a60247ad4f2d9e157bfe993f36e3
Akademický článek
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Autor:
María Carmen Ruiz-Fuentes, Mercedes Caba-Molina, Aurora Polo-Moyano, Magdalena Palomares-Bayo, Pilar Galindo-Sacristan, Carmen De Gracia-Guindo
Publikováno v:
American Journal of Case Reports. 24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ab4742f35fcd057e8e2b564bb3cc6f3
https://doi.org/10.12659/ajcr.939726
https://doi.org/10.12659/ajcr.939726
Autor:
Francisco José Borrego Utiel, Ana Isabel Morales García, Aurora Polo Moyano, Francisco Roca Oporto, Enoc Merino García, Rafael Esteban de la Rosa
Publikováno v:
International Urology and Nephrology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b64447d6341d534228042ba986701b2
https://doi.org/10.1007/s11255-023-03555-8
https://doi.org/10.1007/s11255-023-03555-8
Publikováno v:
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) ISBN: 9783031213328
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c43f9a0c22acfa4018f00cdcdb9aff31
https://doi.org/10.1007/978-3-031-21333-5_76
https://doi.org/10.1007/978-3-031-21333-5_76
Publikováno v:
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) ISBN: 9783031213328
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::077ec9559d565cb17dc887994d14faa2
https://doi.org/10.1007/978-3-031-21333-5_27
https://doi.org/10.1007/978-3-031-21333-5_27
Publikováno v:
IEEE Access, Vol 8, Pp 228804-228817 (2020)
IEEE Access
IEEE Access
Activity Recognition is an active research topic focused on detecting human actions and behaviours in smart environments. In most cases, the use of data-driven models aim to relate data from sensors to an activity through a model developed by a super
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6108640a474a5e120ddcee2ae331f9e
https://ieeexplore.ieee.org/document/9300200/
https://ieeexplore.ieee.org/document/9300200/