<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Cycling assessment to increase performance during sport training is an important issue. In this article presents a wireless sensor network including multi-sensing channels for dynamic and cinematic measurement during cycling training. The Smart Mountain Bike is a system that includes the bicycle and the associated sports equipment, such as gloves, shoes and chest strap. The system is characterized by sensing channels as part of wireless sensor network which base station is expressed by embedded computer and a 3G/UMTS shield which permit the data communication with a cloud server. The data stored on the server is accessed through a mobile application that analyzes and correlates all user information and allows data visualization with a friendly graphical interface.</p></abstract>

Cycling assessment to increase performance during sport training is an important issue. In this article presents a wireless sensor network including multi-sensing channels for dynamic and cinematic measurement during cycling training. The Smart Mountain Bike is a system that includes the bicycle and the associated sports equipment, such as gloves, shoes and chest strap. The system is characterized by sensing channels as part of wireless sensor network which base station is expressed by embedded computer and a 3G/UMTS shield which permit the data communication with a cloud server. The data stored on the server is accessed through a mobile application that analyzes and correlates all user information and allows data visualization with a friendly graphical interface.

WSN and M2M for cycling performance assessment

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"WSN and M2M for cycling performance assessment"}

Cycling assessment to increase performance during sport training is an important issue. In this article presents a wireless sensor network including...

WSN and M2M for cycling performance assessment

Online veröffentlicht: 15. Feb. 2020

Seitenbereich: 1 - 6

DOI: https://doi.org/10.21307/ijssis-2019-126

Schlüsselwörter
wireless sensor network, machine-to-machine, bicycle, cloud computing, mobile application

© 2019 Authors., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

WSN and M2M for cycling performance assessment

Online veröffentlicht: 15. Feb. 2020

Seitenbereich: 1 - 6

DOI: https://doi.org/10.21307/ijssis-2019-126

Schlüsselwörterwireless sensor network, machine-to-machine, bicycle, cloud computing, mobile application

© 2019 Authors., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
wireless sensor network, machine-to-machine, bicycle, cloud computing, mobile application