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pro vyhledávání: '"Yves M. Galvão"'
Autor:
Yves M. Galvão, Letícia Portela, Pablo Barros, Roberta Andrade de Araújo Fagundes, Bruno J.T. Fernandes
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 35, Iss , Pp 101227- (2022)
One of the most common health risks for senior citizens is a falling event, and to reduces the risk of death, a fall needs to be quickly reported. Thus, automatic fall detection systems were proposed to mitigate the falling problem, most of them rely
Externí odkaz:
https://doaj.org/article/b0e1c886eb6c4755b88028b759b9f89f
Autor:
Sergio Murilo Maciel Fernandes, Bruno J. T. Fernandes, Agostinho A. F. Júnior, Yves M. Galvão, Janderson Ferreira, Pablo V. A. Barros
Publikováno v:
ICDL-EPIROB
Currently, path planning algorithms are used in many daily tasks. They are relevant to find the best route in traffic and make autonomous robots able to navigate. The use of path planning presents some issues in large and dynamic environments. Large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6eae01604477924c83c484352fd7bf4
Autor:
Janderson Ferreira, Yves M. Galvão, Pablo V. A. Barros, Bruno J. T. Fernandes, Vinicius A. Albuquerque
Publikováno v:
Expert Systems with Applications. 168:114226
A computational system able to automatically and efficiently detect and classify falls would be beneficial for monitoring the elderly population and speed up the assistance proceedings, reducing the risk of prolonged injuries and death. One of the mo
Publikováno v:
LA-CCI
Smart Houses and Internet of Things (IoT) are two present tendencies in our days. Due to these technologies, the existent types of equipment in a smart house (sensors, thermostats, and video cams) allow us to analyze and collect data from a person's