Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Irvin Hussein López-Nava"'
Publikováno v:
Proceedings, Vol 2, Iss 19, p 1238 (2018)
Action recognition is important for various applications, such as, ambient intelligence, smart devices, and healthcare. Automatic recognition of human actions in daily living environments, mainly using wearable sensors, is still an open research prob
Externí odkaz:
https://doaj.org/article/83ddf54329764c63855d171a65d9c73e
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_________::1f99f8cefb130b650ad88cb0747627c2
https://doi.org/10.1007/978-3-031-21333-5_3
https://doi.org/10.1007/978-3-031-21333-5_3
Autor:
Irvin Hussein López-Nava, Marcela D. Rodriguez, Juan Pablo García-Vázquez, Alberto Isaac Perez-Sanpablo, Ivett Quiñones-Urióstegui, Alicia Meneses-Peñaloza, Víctor Castillo, German Cuaya-Simbro, Josué S. Armenta, Alicia Martínez, Wendy Sánchez, Karina Caro, Ana Isabel Martínez-García, Jesús Favela
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35408934750ccd2c7f20bc5ad347f7b3
https://doi.org/10.1007/s12652-022-04364-0
https://doi.org/10.1007/s12652-022-04364-0
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