Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ramon F. Brena"'
Publikováno v:
Sensors, Vol 21, Iss 21, p 7007 (2021)
Multi-sensor fusion intends to boost the general reliability of a decision-making procedure or allow one sensor to compensate for others’ shortcomings. This field has been so prominent that authors have proposed many different fusion approaches, or
Externí odkaz:
https://doaj.org/article/cddfed978c2a4404aaeb353f60d9926c
Publikováno v:
Sensors, Vol 20, Iss 8, p 2350 (2020)
Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliabi
Externí odkaz:
https://doaj.org/article/6703e2dcb45249028acf79893d8a1e5f
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
Publikováno v:
Sensors, Vol 14, Iss 12, Pp 22500-22524 (2014)
With the development of wearable devices that have several embedded sensors, it is possible to collect data that can be analyzed in order to understand the user’s needs and provide personalized services. Examples of these types of devices are smart
Externí odkaz:
https://doaj.org/article/46fd38431f8f4e1cb64d6b463a429d11
Publikováno v:
Sensors, Vol 14, Iss 6, Pp 11001-11015 (2014)
User indoor positioning has been under constant improvement especially with the availability of new sensors integrated into the modern mobile devices, which allows us to exploit not only infrastructures made for everyday use, such as WiFi, but also n
Externí odkaz:
https://doaj.org/article/7cd469bf0ffa4d98af0b5b500c7585da
Publikováno v:
Sensors, Vol 19, Iss 17, p 3808 (2019)
In Ambient Intelligence (AmI), the activity a user is engaged in is an essential part of the context, so its recognition is of paramount importance for applications in areas like sports, medicine, personal safety, and so forth. The concurrent use of
Externí odkaz:
https://doaj.org/article/c49b89d1b36c4494957572d571348360
Publikováno v:
Sensors, Vol 19, Iss 9, p 2017 (2019)
Sensors are becoming more and more ubiquitous as their price and availability continue to improve, and as they are the source of information for many important tasks. However, the use of sensors has to deal with noise and failures. The lack of reliab
Externí odkaz:
https://doaj.org/article/c6eff80a321f48d09b5391e05e574c74
Autor:
Enrique Garcia-Ceja, Ramon F. Brena
Publikováno v:
Sensors, Vol 16, Iss 6, p 877 (2016)
Human Activity Recognition (HAR) is an important part of ambient intelligence systems since it can provide user-context information, thus allowing a greater personalization of services. One of the problems with HAR systems is that the labeling proces
Externí odkaz:
https://doaj.org/article/c54dfcf2aca540fe8cca98a1ca48818e
Publikováno v:
Sensors, Vol 22, Iss 11, p 4206 (2022)
Automatic identification of human facial expressions has many potential applications in today’s connected world, from mental health monitoring to feedback for onscreen content or shop windows and sign-language prosodic identification. In this work
Externí odkaz:
https://doaj.org/article/f09d64b60d76408eb734aa068f579307