Analysis of some Mobile Applications for Cycling
Abstract
This article analyzes some available bike mobile applications as an alternative to bike computers, as known as cycle computers or speedometers or speed sensors. We have stored a lot of datasets recorded from different mountain bike routes; in this study, we analyzed two routes only. Most mobile cycling applications estimate fields such as speed, heading, slope, distance, VMG (Velocity Made Good) and pace (cadence). However, it is necessary to calculate the relationship between cadence and power in pedaling so that cyclists know the appropriate moment to apply force to their legs to improve the torque. We studied four cycling apps and one bike computer. The contribution of this paper lies in the fact that it reports and compares measurements of cycling workouts using four mobile applications for cycling, at the same time these measurements are compared against a speedometer; the differences in distance and speed between the mobile apps used in this study are slightly notorious. We also show comparative tables and graphs, and performance evaluation of biking routes in two different bike routes.
Keywords
Cycling Computer, Fitness and Health Statistics, Bike Computer, Mobile Sensing, Social Fitness Network, Bike Mobile Applications, Wheeled Vehicles, MTB datasets
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
M. A. Wister, P. Pancardo and P. Payro, "Analysis of some Mobile Applications for Cycling," in Journal of Communications Software and Systems, vol. 15, no. 2, pp. 126-137, April 2019, doi: 10.24138/jcomss.v15i2.684
@article{wister2019analysissome,
author = {Miguel Antonio Wister and Pablo Pancardo and Pablo Payro},
title = {Analysis of some Mobile Applications for Cycling},
journal = {Journal of Communications Software and Systems},
month = {4},
year = {2019},
volume = {15},
number = {2},
pages = {126--137},
doi = {10.24138/jcomss.v15i2.684},
url = {https://doi.org/10.24138/jcomss.v15i2.684}
}