Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Irvin Hussein Lopez-Nava"'
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
Human action recognition supported by highly accurate specialized systems, ambulatory systems, or wireless sensor networks has a tremendous potential in the areas of healthcare or wellbeing monitoring. Recently, several studies carried out focused on
Externí odkaz:
https://doaj.org/article/559fe9c3e5d845d9ad0bb94c052b8bc5
Publikováno v:
Sensors, Vol 20, Iss 17, p 4756 (2020)
Activity recognition is one of the most active areas of research in ubiquitous computing. In particular, gait activity recognition is useful to identify various risk factors in people’s health that are directly related to their physical activity. O
Externí odkaz:
https://doaj.org/article/5cfbd246a7ce493fbb2f3420063ecc4e
Publikováno v:
Proceedings, Vol 31, Iss 1, p 60 (2019)
Activity recognition is an important task in many fields, such as ambient intelligence, pervasive healthcare, and surveillance. In particular, the recognition of human gait can be useful to identify the characteristics of the places or physical space
Externí odkaz:
https://doaj.org/article/fb07972ba64c410eb575de63a2587690
Autor:
Dagoberto Cruz-Sandoval, Jessica Beltran-Marquez, Matias Garcia-Constantino, Luis A. Gonzalez-Jasso, Jesus Favela, Irvin Hussein Lopez-Nava, Ian Cleland, Andrew Ennis, Netzahualcoyotl Hernandez-Cruz, Joseph Rafferty, Jonathan Synnott, Chris Nugent
Publikováno v:
Sensors, Vol 19, Iss 14, p 3035 (2019)
Activity recognition, a key component in pervasive healthcare monitoring, relies on classification algorithms that require labeled data of individuals performing the activity of interest to train accurate models. Labeling data can be performed in a l
Externí odkaz:
https://doaj.org/article/05f9bede14e84735b2a69b9eb9783fc3
Autor:
David Carneros-Prado, Cosmin C. Dobrescu, Luis Cabañero, Yulith V. Altamirano-Flores, Irvin Hussein Lopez-Nava, Iván González, Jesús Fontecha, Ramon Hervas
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_________::2d6350a68ebcb1380c2d29094c8eb3ea
https://doi.org/10.1007/978-3-031-21333-5_42
https://doi.org/10.1007/978-3-031-21333-5_42
Autor:
Yulith V. Altamirano-Flores, Irvin Hussein Lopez-Nava, Iván González, Cosmin C. Dobrescu, David Carneros-Prado
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_________::c1f794b2d46fe9b2930edf1db39090b6
https://doi.org/10.1007/978-3-031-21333-5_8
https://doi.org/10.1007/978-3-031-21333-5_8
Autor:
Matias Garcia-Constantino, Alexandros Konios, Irvin Hussein Lopez-Nava, Pierre Pouliet, Idongesit Ekerete, Mustafa A. Mustafa, Chris Nugent, Gareth Morrison
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_________::652b3595c0b8826dbe3668c500f08529
https://doi.org/10.1007/978-3-031-21333-5_30
https://doi.org/10.1007/978-3-031-21333-5_30
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_________::cd0152109aabfdaacab10d6cc7a4ea7c
https://doi.org/10.1007/978-3-031-21333-5_37
https://doi.org/10.1007/978-3-031-21333-5_37
Publikováno v:
IoT in Healthcare and Ambient Assisted Living ISBN: 9789811598968
Wearable technology is increasingly being used in healthcare research. Studies involving older adults using these devices are also increasing, but very few have been reported with persons with dementia (PwDs). This is understandable, since there are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e0ebb35ef5b37e36f612151126d7448
https://doi.org/10.1007/978-981-15-9897-5_8
https://doi.org/10.1007/978-981-15-9897-5_8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030770037
MCPR
MCPR
Recent advances in remote sensing technology and high-resolution satellite imagery offer great possibilities for understanding the earth’s surfaces. However, satellite image classification is a challenging problem due to the high variability inhere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94178164f372c25dfab7e08efe334d72
https://doi.org/10.1007/978-3-030-77004-4_16
https://doi.org/10.1007/978-3-030-77004-4_16