Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jose Manuel Cano-García"'
Publikováno v:
PLoS ONE, Vol 11, Iss 12, p e0168069 (2016)
During the last years, many research efforts have been devoted to the definition of Fall Detection Systems (FDSs) that benefit from the inherent computing, communication and sensing capabilities of smartphones. However, employing a smartphone as the
Externí odkaz:
https://doaj.org/article/fbdef23941ab4768b2fa55dec988d7ff
Publikováno v:
RIUMA. Repositorio Institucional de la Universidad de Málaga
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The popularity of wearables and their seamless integration into our daily lives have transformed these devices into an appealing resource to deploy automatic fall detection systems. During last years, a massive literature on new methods and algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a06adabc7ade0782d716b71a41058ce
https://hdl.handle.net/10630/24092
https://hdl.handle.net/10630/24092
Publikováno v:
Mathematics and Computers in Simulation. 104:21-30
In this paper we introduce a new model, called the GRAM model, that provides an accelerated-time simulation of traffic on a motorway. The model provides an accelerated-time simulation using ideas and techniques from both cellular automata and neural
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Wearable Fall Detection Systems (FDSs) have gained much research interest during last decade. In this regard, Machine Learning (ML) classifiers have shown great efficiency in discriminating falls and conventional movements or Activities of D
Externí odkaz:
https://doaj.org/article/6a279c30c3344997bdddec4a8ce06856
Publikováno v:
Microchimica Acta. 148
A sequential injection analysis method is developed for the determination of the total polyphenol index in wines. The determination is based on the Folin-Ciocalteu reaction, which is monitored spectrophotometrically. Interactions between experimental
Publikováno v:
Biosensors, Vol 11, Iss 8, p 284 (2021)
In recent years, the popularity of wearable devices has fostered the investigation of automatic fall detection systems based on the analysis of the signals captured by transportable inertial sensors. Due to the complexity and variety of human movemen
Externí odkaz:
https://doaj.org/article/d3ffefb2ece84702aeb5f49e41c60d40
Publikováno v:
Sensors, Vol 18, Iss 4, p 1155 (2018)
This paper describes a wearable Fall Detection System (FDS) based on a body-area network consisting of four nodes provided with inertial sensors and Bluetooth wireless interfaces. The signals captured by the nodes are sent to a smartphone which simul
Externí odkaz:
https://doaj.org/article/db1333b7164849e3bbf17210ee1a015f