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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Dias, A. C. & Postolache, O. (2018). Cyclist performance assessment based on WSN and cloud technologies. In 2018 International Conference and Exposition on Electrical And Power Engineering, EPE 2018. (pp. 1041-1046). Iasi: IEEE.
Exportar Referência (IEEE)
A. C. Dias and O. A. Postolache,  "Cyclist performance assessment based on WSN and cloud technologies", in 2018 Int. Conf. and Expo. on Electrical And Power Engineering, EPE 2018, Iasi, IEEE, 2018, pp. 1041-1046
Exportar BibTeX
@inproceedings{dias2018_1775764772488,
	author = "Dias, A. C. and Postolache, O.",
	title = "Cyclist performance assessment based on WSN and cloud technologies",
	booktitle = "2018 International Conference and Exposition on Electrical And Power Engineering, EPE 2018",
	year = "2018",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICEPE.2018.8559950",
	pages = "1041-1046",
	publisher = "IEEE",
	address = "Iasi",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/8559950/"
}
Exportar RIS
TY  - CPAPER
TI  - Cyclist performance assessment based on WSN and cloud technologies
T2  - 2018 International Conference and Exposition on Electrical And Power Engineering, EPE 2018
AU  - Dias, A. C.
AU  - Postolache, O.
PY  - 2018
SP  - 1041-1046
DO  - 10.1109/ICEPE.2018.8559950
CY  - Iasi
UR  - https://ieeexplore.ieee.org/document/8559950/
AB  - The mobility in the modern cities become a big issue and the usage of bicycles represent one of the solutions. At the same time Bike Share services appear that increased the motivation of the users to use bicycles. In this context, the article presents a distributed sensing system for cyclist’s training monitoring materialized by a Wireless Sensor Network (WSN), with Internet connectivity. The WSN sensing nodes are mounted on the bicycle and the cyclist himself and provide information that can be used to improve the cyclist’s performance. The coach can monitor and evaluate the athlete performance and may act to adapt the training sessions considering also other elements such as health status condition. The information coming from the WSN nodes is uploaded, through an Internet connection, to the Firebase platform. The data can be accessed through a developed Android mobile application that also allows the configuration of the training route. The effectiveness of the proposed system was experimentally tested and several results are included in the paper.
ER  -