Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Miguel Ángel Álvarez de la Concepción"'
Autor:
Luis Miguel Soria Morillo, Juan Antonio Álvarez-García, Luis Gonzalez-Abril, Miguel Ángel Álvarez de la Concepción
Publikováno v:
Pervasive and Mobile Computing. 34:3-13
Currently, the lifestyle of elderly people is regularly monitored in order to establish guidelines for rehabilitation processes or ensure the welfare of this segment of the population. In this sense, activity recognition is essential to detect an obj
Autor:
Miguel Ángel Álvarez de la Concepción, Luis Gonzalez-Abril, Juan Antonio Ortega Ramírez, Luis Miguel Soria Morillo
Publikováno v:
Sensors
Volume 15
Issue 3
Pages 5163-5196
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Sensors, Vol 15, Iss 3, Pp 5163-5196 (2015)
Sensors (Basel, Switzerland)
Volume 15
Issue 3
Pages 5163-5196
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Sensors, Vol 15, Iss 3, Pp 5163-5196 (2015)
Sensors (Basel, Switzerland)
An innovative approach to physical activity recognition based on the use of discrete variables obtained from accelerometer sensors is presented. The system first performs a discretization process for each variable, which allows efficient recognition
Autor:
Juan Antonio Ortega Ramírez, Juan Antonio Álvarez-García, Alejandro Fernández-Montes, Luis Miguel Soria Morillo, Miguel Ángel Álvarez de la Concepción
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
IFMBE Proceedings ISBN: 9783319111278
instname
IFMBE Proceedings ISBN: 9783319111278
Activity recognition (AR) and fall detection (FD) research areas are very related in assistance scenarios but evolve independently. Evaluate them is not trivial and the lack of FD real-world datasets implies a big issue. A protocol that fuses AR and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e0ad183e7d4e6e09bcf14338dc51a6e
Autor:
Juan Antonio Ortega Ramírez, Luis Gonzalez-Abril, Miguel Ángel Álvarez de la Concepción, Luis Miguel Soria Morillo
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642374180
EvAAL
EvAAL
This article aims to develop a minimally intrusive system of care and monitoring. Furthermore, the goal is to get a cheap, comfortable and, especially, efficient system which controls the physical activity car ried out by the user. For this purpose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e35808cc888e4ae2ed74448a883b3841
https://doi.org/10.1007/978-3-642-37419-7_11
https://doi.org/10.1007/978-3-642-37419-7_11
Autor:
Luis González Abril, Juan Antonio Ortega Ramírez, Miguel Ángel Álvarez de la Concepción, Luis Miguel Soria Morillo
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
A lot of significant data describing the behavior or/and actions of systems can be collected in several domains. These data define some aspects, called features, that can be clustered in several classes. A qualitative or quantitative value for each f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8850ad4173758b7c27b004ffdd94ae8
https://idus.us.es/xmlui/handle/11441/55021
https://idus.us.es/xmlui/handle/11441/55021
Autor:
Miguel Ángel Álvarez de la Concepción, Juan Antonio Ortega Ramírez, Luis González Abril, Luis Miguel Soria Morillo
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642410420
EvAAL
EvAAL
This paper aims to develop a cheap, comfortable and, spe cially, efficient system which controls the physical activity carried out by the user. For this purpose an extended approach to physical activ ity recognition is presented, based on the use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c395fda03428ea15c6784cc50c0c5094
Autor:
Luis Miguel Soria Morillo, Luis Gonzalez-Abril, Juan Antonio Ortega Ramirez, Miguel Angel Alvarez de la Concepcion
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 5163-5196 (2015)
An innovative approach to physical activity recognition based on the use of discrete variables obtained from accelerometer sensors is presented. The system first performs a discretization process for each variable, which allows efficient recognition
Externí odkaz:
https://doaj.org/article/dba18708fe10464ebcd6b8daeb49be10