Nowadays sports are getting into the centre of attention. This is mainly the result of the ever growing number of fitness applications and the newly popular wearable devices: smartwatches and smartbands.
These digital sport accessories are able to monitor and analyse every sport activity. Based on their data, applications are able to help, support and motivate their users more effectively than ever before.
The way applications motivate their users to do sports divides them into two main types. One of them focuses on recruiting users with the same sport interests and helps them find each other in a given geographical location. These applications are trying to take advantage of the fact that doing sport together is more interesting, more entertaining.
The other type of applications includes the ones focusing on individual users. The main motivation for them here is simply to get fitter, do better, achieve individual goals. These applications let the users compare their new results with their previous ones, to see their improvement, or let them compare them with other users’ results. The improvements are often rewarded with virtual badges or connected with unlockable achievements.
Despite all of these efforts, it is still common that after a while the users lose their motivation and interest in sports, and on the long run they abandon their sport activities completely.
The goal of my thesis is to create and implement an application which combines the described approaches and extends them with radio identification capabilities to motivate the users to do sports together.