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Connected Bike-smart IoT-based Cycling Training Solution

The Connected Bike project combines several technologies, both hardware and software, to provide cycling enthusiasts with a modern alternative solution for training. Therefore, a trainer can monitor online through a Web Application some of the important parameters for training, more specifically the...

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Detalles Bibliográficos
Autores principales: Catargiu, George, Dulf, Eva-H., Miclea, Liviu C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085696/
https://www.ncbi.nlm.nih.gov/pubmed/32156032
http://dx.doi.org/10.3390/s20051473
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author Catargiu, George
Dulf, Eva-H.
Miclea, Liviu C.
author_facet Catargiu, George
Dulf, Eva-H.
Miclea, Liviu C.
author_sort Catargiu, George
collection PubMed
description The Connected Bike project combines several technologies, both hardware and software, to provide cycling enthusiasts with a modern alternative solution for training. Therefore, a trainer can monitor online through a Web Application some of the important parameters for training, more specifically the speed, cadence and power generated by the cyclist. Also, the trainer can see at every moment where the rider is with the aid of a GPS module. The system is built out of both hardware and software components. The hardware is in charge of collecting, scaling, converting and sending data from sensors. On the software side, there is the server, which consists of the Back-End and the MQTT (Message Queues Telemetry Transport) Broker, as well as the Front-End of the Web Application that displays and manages data as well as collaboration between cyclists and trainers. Finally, there is the Android Application that acts like a remote command for the hardware module on the bike, giving the rider control over how and when the ride is monitored.
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spelling pubmed-70856962020-04-21 Connected Bike-smart IoT-based Cycling Training Solution Catargiu, George Dulf, Eva-H. Miclea, Liviu C. Sensors (Basel) Article The Connected Bike project combines several technologies, both hardware and software, to provide cycling enthusiasts with a modern alternative solution for training. Therefore, a trainer can monitor online through a Web Application some of the important parameters for training, more specifically the speed, cadence and power generated by the cyclist. Also, the trainer can see at every moment where the rider is with the aid of a GPS module. The system is built out of both hardware and software components. The hardware is in charge of collecting, scaling, converting and sending data from sensors. On the software side, there is the server, which consists of the Back-End and the MQTT (Message Queues Telemetry Transport) Broker, as well as the Front-End of the Web Application that displays and manages data as well as collaboration between cyclists and trainers. Finally, there is the Android Application that acts like a remote command for the hardware module on the bike, giving the rider control over how and when the ride is monitored. MDPI 2020-03-07 /pmc/articles/PMC7085696/ /pubmed/32156032 http://dx.doi.org/10.3390/s20051473 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Catargiu, George
Dulf, Eva-H.
Miclea, Liviu C.
Connected Bike-smart IoT-based Cycling Training Solution
title Connected Bike-smart IoT-based Cycling Training Solution
title_full Connected Bike-smart IoT-based Cycling Training Solution
title_fullStr Connected Bike-smart IoT-based Cycling Training Solution
title_full_unstemmed Connected Bike-smart IoT-based Cycling Training Solution
title_short Connected Bike-smart IoT-based Cycling Training Solution
title_sort connected bike-smart iot-based cycling training solution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085696/
https://www.ncbi.nlm.nih.gov/pubmed/32156032
http://dx.doi.org/10.3390/s20051473
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