Zobrazeno 1 - 9
of 9
pro vyhledávání: '"J. Ruben Delgado-Contreras"'
Autor:
Rosa A. García-Hernández, Huizilopoztli Luna-García, José M. Celaya-Padilla, Alejandra García-Hernández, Luis C. Reveles-Gómez, Luis Alberto Flores-Chaires, J. Ruben Delgado-Contreras, David Rondon, Klinge O. Villalba-Condori
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7165 (2024)
This systematic literature review delves into the extensive landscape of emotion recognition, sentiment analysis, and affective computing, analyzing 609 articles. Exploring the intricate relationships among these research domains, and leveraging data
Externí odkaz:
https://doaj.org/article/495f675c5b11486a804a8d9dad03d425
Autor:
Ramón F. Brena, Carlos E. Galván-Tejada, J. Ruben Delgado-Contreras, Jorge I. Galván-Tejada, Juan-Pablo García-Vázquez
Publikováno v:
Sensors, Vol 15, Iss 8, Pp 20355-20372 (2015)
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 8
Pages 20355-20372
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 8
Pages 20355-20372
In this paper, we present the development of an infrastructure-less indoor location system (ILS), which relies on the use of a microphone, a magnetometer and a light sensor of a smartphone, all three of which are essentially passive sensors, relying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bdacd604b2bebfda72d02ebb92ded81
http://www.mdpi.com/1424-8220/15/8/20355
http://www.mdpi.com/1424-8220/15/8/20355
Publikováno v:
CONIELECOMP
One of the many possible sources for identifying a place is environmental sound. Ambient sound can be used by itself or in combination with other methods, like GPS, WiFi, etc. A way of identifying a place with sound is using "fingerprinting", which t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cbe7566637e95adb8656b9bb67719c0
https://doi.org/10.1109/conielecomp.2016.7438560
https://doi.org/10.1109/conielecomp.2016.7438560
Autor:
José M. Celaya-Padilla, J. Ruben Delgado-Contreras, Luis Octavio Solís-Sánchez, Vanessa Alcalá-Ramírez, Jorge I. Galván-Tejada, Carlos E. Galván-Tejada
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319393926
MCPR
MCPR
Due to an increase interest for providing services based on user location, several indoor location approaches based on mobile devices have been proposed recently. This paper focuses on the use of a novel crowdsourcing approach for indoor location of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d496a2c0efb45ea86f790e0519d5854b
https://doi.org/10.1007/978-3-319-39393-3_26
https://doi.org/10.1007/978-3-319-39393-3_26
Autor:
Hamurabi Gamboa-Rosales, Rafael Magallanes-Quintanar, Yamilé López-Hernández, Idalia Garza-Veloz, José M. Celaya-Padilla, Carlos E. Galván-Tejada, Margarita L Martinez-Fierro, J. Ruben Delgado-Contreras, Jorge I. Galván-Tejada
Publikováno v:
Mobile Information Systems, Vol 2016 (2016)
This work presents a human activity recognition (HAR) model based on audio features. The use of sound as an information source for HAR models represents a challenge because sound wave analyses generate very large amounts of data. However, feature sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d88b670f200b9a8c22998523abddc33
Autor:
Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes-Quintanar, Miguel Cruz, Irma Gonzalez-Curiel, J. Rubén Delgado-Contreras, Manuel A. Soto-Murillo, José M. Celaya-Padilla, Jorge I. Galván-Tejada
Publikováno v:
Diseases, Vol 11, Iss 4, p 134 (2023)
The escalating prevalence of Type 2 Diabetes (T2D) represents a substantial burden on global healthcare systems, especially in regions such as Mexico. Existing diagnostic techniques, although effective, often require invasive procedures and labor-int
Externí odkaz:
https://doaj.org/article/319c6f48388244a7a79702df63f6f24a
Autor:
Carlos E. Galván-Tejada, Juan Pablo García-Vázquez, Jorge I. Galván-Tejada, J. Rubén Delgado-Contreras, Ramon F. Brena
Publikováno v:
Sensors, Vol 15, Iss 8, Pp 20355-20372 (2015)
In this paper, we present the development of an infrastructure-less indoor location system (ILS), which relies on the use of a microphone, a magnetometer and a light sensor of a smartphone, all three of which are essentially passive sensors, relying
Externí odkaz:
https://doaj.org/article/88764dac89cb4a24af17c019e9e5ab43
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