Mobile application for cycling training analysis

Osnovni cilj te diplomske naloge je razvoj aplikacije za analizo kolesarskih aktivnosti ter kolesarjevega počutja skozi dan z algoritmom Apriori in asociacijskimi pravili. Podatke smo pridobivali iz kolesarskega števca ter pametne ure in jih shranjevali v podatkovno bazo iz katere smo kasneje pridobivali podatke za analizo. Algoritem smo testirali na dveh kolesarjih v časovnem obdobju enega tedna. S prejetimi asociacijskimi pravili smo lahko primerjali analize voženj obeh kolesarjev.The main goal of this diploma was to develop an application for the analysis of cycling activities and cyclist well-being throughout the day with the Apriori algorithm and association rules. The data was obtained from a bicycle computer and a smartwatch, which was stored in a database and later used for the analysis. The algorithm was tested on two cyclists over a period of one week. We were able to compare the analyses of the rides of both cyclists with the obtained association rules