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Open AccessArticle

Connected Bike-smart IoT-based Cycling Training Solution

1
Department of Automation, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, Memorandumului Str. 28, 400014 Cluj-Napoca, Romania
2
Physiological Controls Research Center, Óbuda University, H-1034 Budapest, Hungary
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(5), 1473; https://doi.org/10.3390/s20051473
Received: 17 February 2020 / Revised: 5 March 2020 / Accepted: 6 March 2020 / Published: 7 March 2020
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. View Full-Text
Keywords: connected bike; smart technologies; IoT; personalized training; embedded; back-end; front-end; Android; modules; MQTT; monitoring connected bike; smart technologies; IoT; personalized training; embedded; back-end; front-end; Android; modules; MQTT; monitoring
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Catargiu, G.; Dulf, E.-H.; Miclea, L.C. Connected Bike-smart IoT-based Cycling Training Solution. Sensors 2020, 20, 1473.

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