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Connected Bike-smart IoT-based Cycling Training Solution.

George Catargiu1, Eva-H Dulf1,2, Liviu C Miclea1

  • 1Department of Automation, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, Memorandumului Str. 28, 400014 Cluj-Napoca, Romania.

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Summary
This summary is machine-generated.

The Connected Bike system uses hardware and software to enable real-time monitoring of cycling training data, including speed, cadence, power, and GPS location, via a web application.

Keywords:
AndroidIoTMQTTback-endconnected bikeembeddedfront-endmodulesmonitoringpersonalized trainingsmart technologies

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Area of Science:

  • Sports Science and Technology
  • Internet of Things (IoT) in Athletics

Background:

  • Traditional cycling training lacks real-time, remote monitoring capabilities.
  • Existing solutions may not integrate comprehensive data collection and remote access.
  • Need for a unified platform for cyclists and trainers to track performance and location.

Purpose of the Study:

  • To develop an integrated hardware and software system for enhanced cycling training.
  • To enable remote monitoring of key cycling performance metrics and rider location.
  • To provide cyclists with control over their data monitoring via a mobile application.

Main Methods:

  • Development of a hardware module for sensor data acquisition (speed, cadence, power).
  • Implementation of a GPS module for real-time location tracking.
  • Creation of a server infrastructure with a Back-End and MQTT Broker for data transmission.
  • Design of a Web Application (Front-End) for data visualization and management.
  • Development of an Android Application for remote control of the hardware.

Main Results:

  • Successful integration of hardware sensors and GPS for data collection.
  • Establishment of a robust data transmission pipeline using MQTT.
  • Functional Web Application displaying real-time training parameters and rider location.
  • Operational Android Application allowing cyclists to control monitoring remotely.

Conclusions:

  • The Connected Bike project offers a comprehensive solution for modern cycling training.
  • The system facilitates effective remote monitoring and data management for performance analysis.
  • This technology enhances collaboration and control between cyclists and trainers.