Zobrazeno 1 - 6
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pro vyhledávání: '"Samad Barri Khojasteh"'
Publikováno v:
Sensors, Vol 18, Iss 5, p 1350 (2018)
Fall detection is a very important challenge that affects both elderly people and the carers. Improvements in fall detection would reduce the aid response time. This research focuses on a method for fall detection with a sensor placed on the wrist. F
Externí odkaz:
https://doaj.org/article/6c7e76f43ae94cbb96699731fa4e3471
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering. 9:191-197
Autor:
Morteza Kiadi, Enrique de la Cal, José Ramón Villar, Samad Barri Khojasteh, Víctor M. González, Qing Tan
Publikováno v:
2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).
Fall detection for elder people is a very challenging task that has not been solved yet. In this population, fall detection devices must not introduce extra constraints, like carrying with a belt fixed device or a mobile phone. This paper describes o
Autor:
Enrique de la Cal, José Ramón Villar, Camelia Chira, Samad Barri Khojasteh, Víctor M. González
Publikováno v:
Sensors, Vol 18, Iss 5, p 1350 (2018)
Scopus
Sensors (Basel, Switzerland)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Sensors; Volume 18; Issue 5; Pages: 1350
Scopus
Sensors (Basel, Switzerland)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Sensors; Volume 18; Issue 5; Pages: 1350
Fall detection is a very important challenge that affects both elderly people and the carers. Improvements in fall detection would reduce the aid response time. This research focuses on a method for fall detection with a sensor placed on the wrist. F
Autor:
José Ramón Villar, Samad Barri Khojasteh, Javier Sedano, Harun Reşit Yazgan, Enrique de la Cal, Víctor M. González
Publikováno v:
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Lecture Notes in Computer Science ISBN: 9783319926384
HAIS
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Lecture Notes in Computer Science ISBN: 9783319926384
HAIS
International Conference on Hybrid Artificial Intelligence Systems (13th, Oviedo, 2018)
MINECO-TIN2017-84804-R, MICINN, Ministerio de Ciencia e Innovación; FC-15-GRUPIN14-073, MICINN, Ministerio de Ciencia e Innovación; MINECO-TIN2014-56967-R,
MINECO-TIN2017-84804-R, MICINN, Ministerio de Ciencia e Innovación; FC-15-GRUPIN14-073, MICINN, Ministerio de Ciencia e Innovación; MINECO-TIN2014-56967-R,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f26a8f0975f1043162ae6a72be9cfe4
http://hdl.handle.net/10651/49158
http://hdl.handle.net/10651/49158
Autor:
Samad Barri Khojasteh, Jose R. Villar, Enrique De La Cal, Victor M. Gonzalez, Javier Sedano, Yazğan, Harun Reşit, Fjd Juez
Fall detection represents an important issue when dealing with Ambient Assisted Living for the elder. The vast majority of fall detection approaches have been developed for healthy and relatively young people. Moreover, plenty of these approaches mak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______9534::f0452cef976d0d36fcdfc7cbb2db2956
https://hdl.handle.net/20.500.12619/48196
https://hdl.handle.net/20.500.12619/48196