Mobilna aplikacija za analizo kolesarskih treningov

diplomsko delo

David Krajnc (Author), Uroš Mlakar (Mentor)

Abstract

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.

Keywords

algoritem Apriori;kolesarstvo;strukturirani treningi;mobilne aplikacije;analiza voženj;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2021
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[D. Krajnc]
UDC:	621.395.721.5:796.03(043.2)
COBISS:	94972419
Views:	198
Downloads:	32
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Mobile application for cycling training analysis
Secondary abstract:	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.
Secondary keywords:	Apriori;cycling;structured training;ride analysis;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	VI, 43 str.
ID:	13297784